MR1: Methods and Statistics
Lead Research Organisation:
MRC Cognition and Brain Sciences Unit
Abstract
The core scientific programmes of the MRC Cognition and Brain Sciences Unit call for the development of new, efficient and effective methods for measuring, evaluating and modelling human cognitive behaviour and its correlates in brain function. ||The work of the methods group draws on the fields of physics, physiology, mathematics, statistics, signal processing and graphical modelling in order to provide appropriate support towards this. ||Potential beneficiaries of clinical applications of these methodological advances include patients learning to use auditory brain-stem implants, patients with brain damage, and young people with problems of cognitive coordination.
Technical Summary
The research programme of the methods group is framed round the creation and implementation of a number of methodological advances that have been identified as offering important support to the main scientific programmes of the MRC Cognition and Brain Sciences Unit. ||One grouping of projects is directed towards improving the methods that underpin the use of functional magnetic resonance imaging (fMRI), and its scope, from initial raw data capture to interpretation via improved image processing to access previously hard-to-image regions, and to handle non-standard brains such as those with lesions. ||A second grouping of projects seeks to tailor the modelling of brain activity associated with lexical tasks to a range of modalities and experimental paradigms (fMRI, EEG, MEG). ||A third grouping of projects is framed to create new statistical methods to support a range of specialist needs, including the standardisation of psychometric tests for clinical use, and the optimisation of auditory brain-stem implants.
Organisations
- MRC Cognition and Brain Sciences Unit, United Kingdom (Lead Research Organisation)
- University College London, United Kingdom (Collaboration)
- University of California, Berkeley (Collaboration)
- University of the Basque Country, Spain (Collaboration)
- Concordia University (Collaboration)
- Columbia University, United States (Collaboration)
- University of New Mexico, United States (Collaboration)
- Ohio State University, United States (Collaboration)
- SRI International (inc) (Collaboration)
- Squishymedia (Collaboration)
- University of Cambridge (Collaboration)
- Aalto University, Finland (Collaboration)
- University of Lisbon (Collaboration)
- Georgia State University (Collaboration)
- Massachusetts General Hospital (Collaboration)
- Child Mind Institute (Collaboration)
- Massachusetts Institute of Technology (Collaboration)
- Stanford University, United States (Collaboration)
- University of Utah, United States (Collaboration)
- Siemens Healthcare (Collaboration)
- University of New South Wales (Collaboration)
- Western University (Collaboration)
- University of Oxford, United Kingdom (Collaboration)
- University of California, Irvine, United States (Collaboration)
- Washington University in St. Louis (Collaboration)
- Max Planck Society (Collaboration)
- University of Warwick, United Kingdom (Collaboration)
- Dartmouth College, United States (Collaboration)
- Maastricht University (UM) (Collaboration)
- Otto-von-Guericke University Magdeburg, Germany (Collaboration)
- University of Siegen (Collaboration)
- University of Exeter, United Kingdom (Collaboration)
- National Institutes of Health, United States (Collaboration)
- McGill University, Canada (Collaboration)
- Washington University in St Louis, United States (Collaboration)
- International Neuroinformatics Coordinating facility (Collaboration)
- Humboldt University Berlin, Germany (Collaboration)
- UNLISTED (Collaboration)
- The National Institute for Research in Computer Science and Control (INRIA) (Collaboration)
- University of California, San Diego, United States (Collaboration)
- Radboud University Nijmegen, Netherlands (Collaboration)
- Cambridgeshire and Peterborough NHS Foundation Trust (Collaboration)
- King's College London, United Kingdom (Collaboration)
People |
ORCID iD |
| Ian Nimmo-Smith (Principal Investigator) |
Publications
Chamberlain SR
(2010)
Reduced brain white matter integrity in trichotillomania: a diffusion tensor imaging study.
in Archives of general psychiatry
Chen Y
(2013)
Task modulation of brain responses in visual word recognition as studied using EEG/MEG and fMRI.
in Frontiers in human neuroscience
Chen Y
(2015)
Early Visual Word Processing Is Flexible: Evidence from Spatiotemporal Brain Dynamics.
in Journal of cognitive neuroscience
Correia MM
(2009)
Looking for the optimal DTI acquisition scheme given a maximum scan time: are more b-values a waste of time?
in Magnetic resonance imaging
Correia MM
(2011)
Contrast-to-noise ratios for indices of anisotropy obtained from diffusion MRI: a study with standard clinical b-values at 3T.
in NeuroImage
Cusack R
(2014)
Automatic analysis (aa): efficient neuroimaging workflows and parallel processing using Matlab and XML.
in Frontiers in neuroinformatics
D'Souza DV
(2016)
Dependence of chromatic responses in V1 on visual field eccentricity and spatial frequency: an fMRI study.
in Journal of the Optical Society of America. A, Optics, image science, and vision
Dacosta-Aguayo R
(2015)
Impairment of functional integration of the default mode network correlates with cognitive outcome at three months after stroke.
in Human brain mapping
Dacosta-Aguayo R
(2014)
Structural integrity of the contralesional hemisphere predicts cognitive impairment in ischemic stroke at three months.
in PloS one
Dacosta-Aguayo R
(2014)
Prognostic value of changes in resting-state functional connectivity patterns in cognitive recovery after stroke: A 3T fMRI pilot study.
in Human brain mapping
| Title | A framework for the design of flexible cross-talk functions for spatial filtering of EEG/MEG data: DeFleCT. |
| Description | Brain activation estimated from EEG and MEG data is the basis for a number of time-series analyses. In these applications, it is essential to minimize "leakage" or "cross-talk" of the estimates among brain areas. Here, we present a novel framework that allows the design of flexible cross-talk functions (DeFleCT), combining three types of constraints: (1) full separation of multiple discrete brain sources, (2) minimization of contributions from other (distributed) brain sources, and (3) minimization of the contribution from measurement noise. Our framework allows the design of novel estimators by combining knowledge about discrete sources with constraints on distributed source activity and knowledge about noise covariance. These estimators will be useful in situations where assumptions about sources of interest need to be combined with uncertain information about additional sources that may contaminate the signal (e.g. distributed sources), and for which existing methods may not yield optimal solutions. We also show how existing estimators, such as maximum-likelihood dipole estimation, L2 minimum-norm estimation, and linearly-constrained minimum variance as well as null-beamformers, can be derived as special cases from this general formalism. The performance of the resulting estimators is demonstrated for the estimation of discrete sources and regions-of-interest in simulations of combined EEG/MEG data. Our framework will be useful for EEG/MEG studies applying time-series analysis in source space as well as for the evaluation and comparison of linear estimators. |
| Type Of Material | Improvements to research infrastructure |
| Year Produced | 2014 |
| Provided To Others? | Yes |
| Impact | The paper describing the methods has been published in Human Brain Mapping (2014): http://www.ncbi.nlm.nih.gov/pubmed/23616402 Code and data are available from the CBU Wiki: http://imaging.mrc-cbu.cam.ac.uk/meg/AnalyzingData/DeFleCT_SpatialFiltering_Tools The DeFleCT methods has been implemented in the SPM beamforming toolbox by Dr. Vladimir Litvak: https://code.google.com/p/spm-beamforming-toolbox/source/browse/trunk/private/DeFleCT.m?spec=svn95&r=95 It is about to be implemented in MNE-Python. |
| Title | Automatic Analysis (aa) Software |
| Description | Automatic analysis (aa) is a framework for medical image analysis designed to allow users to achieve an efficient analysis workflow, whether analyzing a single dataset or creating a complex pipeline with many thousands of acquisitions. aa uses Matlab, and brings together many of the best tools for fMRI analysis (e.g., from SPM5/8/12, FSL and Freesurfer), and MEG/EEG (EEGlab). |
| Type Of Material | Improvements to research infrastructure |
| Year Produced | 2006 |
| Provided To Others? | Yes |
| Impact | In the Unit,aa is the backbone of analysing fMRI,DTI, MTR and structural data from Siemens 3T (Trio, Prisma) MRI scanner, Elekta Neuromag Vectorview MEG scanner and Brain Products BrainAmp EEG. New colleagues are introducedto aa right from the start by means of workshops, which allow them to perform analysis quite early on. A highlighted project, the Cambridge Centre for Aging and Neuroscience (CamCAN), involving multiple sessions of hundreds of subjects, also employs aa, which ensures both high consistency via standardized user scripts and tasklists and high processing speed via parallelization. In addition, aa has been installed an configured at many sites both within (e.g. Behavioural and Clinical Neuroscience Institute) and outside (e.g. Hungarian Academy of Sciences, Research Centre for Natural Sciences, Brain Imaging Centre) of Cambridge. Automatic analysis (aa): Efficient neuroimaging workflows and parallel processing using Matlab and XML. Available from: https://www.researchgate.net/publication/270893904_Automatic_analysis_aa_Efficient_neuroimaging_workflows_and_parallel_processing_using_Matlab_and_XML [accessed Feb 9, 2016]. Indexed publication: DOI: 10.3389/fninf.2014.00090 |
| URL | http://automaticanalysis.org |
| Title | CBU Methods/Imaging/MEG Wiki pages |
| Description | Our Wiki pages provide a wealth of information on data acquisition, analysis, experimental design and formalities related to the research carried out at the Cognition and Brain Sciences Unit. Most of this information is available to everyone. An overview of our Wiki pages can be found here: http://www.mrc-cbu.cam.ac.uk/methods-and-resources/imaginganalysis/ |
| Type Of Material | Improvements to research infrastructure |
| Year Produced | 2006 |
| Provided To Others? | Yes |
| Impact | Our Wiki pages get hundreds of hits a day, and are visited from all over the world. We have received enthusiastic feedback from other researchers, and some of our Wiki pages get cited in publications. These pages facilitate research for a large number of researchers, for whom it would otherwise be very difficult of impossible to find this kind of information. Our Wikis demonstrate the CBU's role as a "knowledge hub" within and beyond the Cambridge cognitive neuroscience community. |
| URL | http://www.mrc-cbu.cam.ac.uk/methods-and-resources/imaginganalysis/ |
| Title | CBU Statistical Wiki pages |
| Description | Web pages with EXCEL spreadsheet, R and SPSS programs for computing statistics which have been requested by CBSU unit staff and students. There are also slides for Graduate talks for Cognitive Psychologists Lectures and Demos and a bibliography of statistical texts which are available for borrowing from the CBSU library. |
| Type Of Material | Improvements to research infrastructure |
| Year Produced | 2006 |
| Provided To Others? | Yes |
| Impact | (1) Marcel Meyer (Andrew Lawrence's Cardiff student) told me he was citing my webpage for his FDR SPSS calculation in January 2013. The citation will be of form: Watson, P.C. (2012). SPSS code to perform the Benjamini and Hochberg procedure [Computer software]. Retrieved day, month, year, from http://imaging.mrc-cbu.cam.ac.uk/statswiki/FAQ/FDR. Mike Dadds (UNSW psychology) also used the FDR program for his research in 2012. |
| URL | http://imaging.mrc-cbu.cam.ac.uk/statswiki/ |
| Title | Cross-talk and point-spread functions for linear EEG/MEG source estimation |
| Description | Cross-talk and point-spread functions (CTFs, PSFs) describe the spatial resolution and localisation accuracy of linear source estimation methods for EEG/MEG. They are not available in most standard software packages. We implemented them for the EEG/MEG analysis package MNE-Python |
| Type Of Material | Improvements to research infrastructure |
| Year Produced | 2014 |
| Provided To Others? | Yes |
| Impact | The tools are implemented in the open-source software package MNE-Python (http://journal.frontiersin.org/Journal/10.3389/fnins.2013.00267/full): https://github.com/mne-tools/mne-python/blob/master/mne/minimum_norm/psf_ctf.py |
| Title | DCM2Bids - a dicom converter for the brain imaging data structure (BIDS) format |
| Description | I made several contributions to DCM2Bids, an open source tool for converting neuroimaging datasets to an open standard format. |
| Type Of Material | Improvements to research infrastructure |
| Year Produced | 2017 |
| Provided To Others? | Yes |
| Impact | * Public interest from the open-source community (6 'issues' listed on Github) * Multiple informal enquiries by email, indicating some use in the community * I used this software as the base for my talk on BIDS conversion at the 2018 CBU Open Science Day (see separate entry) |
| URL | https://github.com/jooh/Dcm2Bids |
| Title | DiPy Software |
| Description | Open source scientific software toolbox (dipy - diffusion imaging in python) for analysis of diffusion magnetic resonance imaging data written in the python language: see www.dipy.org |
| Type Of Material | Improvements to research infrastructure |
| Year Produced | 2009 |
| Provided To Others? | Yes |
| Impact | Has been the springboard for establishing collaborations with laboratories in USA, France, Switzerland and Germany in addition to the UK. |
| URL | http://www.dipy.org |
| Title | MarsBaR software |
| Description | Software to assist 'regions of interest' fMRI/PET data analysis |
| Type Of Material | Improvements to research infrastructure |
| Year Produced | 2006 |
| Provided To Others? | Yes |
| Impact | Several 100s of software downloads and citations |
| URL | http://marsbar.sourceforge.net/ |
| Title | Mix-and-Match tools for experimental stimulus generation and randomisation |
| Description | Mix and Match are tools to support experimental research. Mix will allow experimental stimuli to be pseudo-randomised, according to constraints supplied by the user in a simple script. Match can match the conditions of factorial experiments. Both utilities have the ability to significantly speed up the development, and even improve the quality and power of your experiments. |
| Type Of Material | Improvements to research infrastructure |
| Year Produced | 2007 |
| Provided To Others? | Yes |
| Impact | Two papers have resulted from this describing the methods in Behavioral Research Methods: http://www.ncbi.nlm.nih.gov/pubmed/17393828 http://www.ncbi.nlm.nih.gov/pubmed/18183914 A mailing list exists that provides a forum for users: http://www.mrc-cbu.cam.ac.uk/people/maarten.van-casteren/mixandmatch/ |
| Title | Neuroconda - a Conda environment for reproducible neuroimaging analysis |
| Description | A Conda environment for neuroscience. This is a very inclusive environment that covers pretty much all neuroimaging-related packages you might want to use. The idea with Neuroconda repo is to provide an open specification of the computing environment that was used to run a particular analysis. If you report that you used a particular release of this environment in your manuscript, you are providing a fairly complete description of your analysis software. And if you share analysis code, there is a much better chance that someone else will be able to run it and reproduce your results. |
| Type Of Material | Improvements to research infrastructure |
| Year Produced | 2019 |
| Provided To Others? | Yes |
| Impact | Neuroconda is already in production use internally at CBU, where it is being used to analyse data (e.g. the CALM project), and for teaching (e.g., our introductory neuroimaging lectures). Neuroconda has also received significant external interest in the open-source community (15 'stars' and 3 'forks' on Github), and on social media (62 retweets and 164 likes for 2.0 release announcement on Twitter: https://twitter.com/johancarlin/status/1208147583476150272). |
| URL | https://github.com/MRC-CBU/neuroconda |
| Title | United Diffusion Kurtosis Imaging (UDKI) toolbox |
| Description | United Diffusion Kurtosis Imaging toolbox (UDKI) is a toolbox for Diffusion Kurtosis Imaging (DKI) data processing. It includes fundamental DKI pre-processing steps and modules to estimate the kurtosis tensor and standard diffusion and kurtosis rotational invariant measures. This toolbox also includes DKI biological modelling for estimates estimation of axonal water fraction and also DKI based tractography. UDKI is fully implemented in MATLAB and it is compatible with any operating system (Window, Linux or Mac OS X) with a base installation of MATLAB (version 7.8 onwards). The base MATLAB license is not provided with this toolbox. UDKI functionalities are grouped in six modules: pre-processing; DTI/DKI model fitting; estimation of diffusion tensor rotational invariant measures estimation; estimation of kurtosis tensor rotational invariant measures estimation; fitting of DKI biophysical models fitting; and DKI based tractography reconstruction. |
| Type Of Material | Improvements to research infrastructure |
| Year Produced | 2016 |
| Provided To Others? | Yes |
| Impact | A peer-reviewed research paper an a conference abstract have been publish describing the methods included in the UDKI toolbox. The toolbox has also been distributed to several other research groups, making our work available to the neuroimaging community worldwide. |
| Title | VoiceKey program for off-line voicekey measurements |
| Description | The VoiceKey program can perform off-line voicekey measurements on wav files, for example those produced by E-Prime in naming experiments. Off-line software voicekeys have many advantages over electronic on-line voicekey devices. The VoiceKey program can be much more precise and will allow fine-tuning of the voicekey parameters on a level that is not possible with electronic voicekey devices. The only reason to use an electronic, online device is when you need the output of the voicekey to trigger a subsequent event in your experiment or to provide some kind of feedback. When this is not necessary it is vastly preferable to record the responses and use off-line voicekey software instead. |
| Type Of Material | Improvements to research infrastructure |
| Year Produced | 2012 |
| Provided To Others? | Yes |
| Impact | This software is described and can be downloaded from here: http://www.mrc-cbu.cam.ac.uk/people/maarten-van-casteren/the-voicekey-program/ |
| Title | Public functions for open-source MNE-Python software |
| Description | Added four public function for spatial resolution analysis of EEG/MEG measurements to open-source MNE-Python software. |
| Type Of Material | Data analysis technique |
| Year Produced | 2020 |
| Provided To Others? | Yes |
| Impact | Improved quantitative assessment of EEG/MEG spatial resolution will lead to more cost-effective research and more accurate interpretation of EEG/MEG results. |
| URL | https://mne.tools/dev/whats_new.html |
| Description | A Randomised Controlled Feasibility Trial of a Novel Transdiagnostic Psychological Intervention for Mood and Anxiety Disorders. The proposed study would aim to conduct a feasibility trial of a transdiagnostic psychological treatment protocol. |
| Organisation | Cambridgeshire and Peterborough NHS Foundation Trust |
| Country | United Kingdom |
| Sector | Public |
| PI Contribution | Statistical analyses implementation planning |
| Collaborator Contribution | Help with patient recruitment and specialist advice about the handling of patients and the testing procedure and measures used. |
| Impact | The collaboration has only received funding as of January 2015 (for three years) so too early to say. |
| Start Year | 2015 |
| Description | A Randomised Controlled Feasibility Trial of a Novel Transdiagnostic Psychological Intervention for Mood and Anxiety Disorders. The proposed study would aim to conduct a feasibility trial of a transdiagnostic psychological treatment protocol. |
| Organisation | University of Cambridge |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Statistical analyses implementation planning |
| Collaborator Contribution | Help with patient recruitment and specialist advice about the handling of patients and the testing procedure and measures used. |
| Impact | The collaboration has only received funding as of January 2015 (for three years) so too early to say. |
| Start Year | 2015 |
| Description | A Randomised Controlled Feasibility Trial of a Novel Transdiagnostic Psychological Intervention for Mood and Anxiety Disorders. The proposed study would aim to conduct a feasibility trial of a transdiagnostic psychological treatment protocol. |
| Organisation | University of Cambridge |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Statistical analyses implementation planning |
| Collaborator Contribution | Help with patient recruitment and specialist advice about the handling of patients and the testing procedure and measures used. |
| Impact | The collaboration has only received funding as of January 2015 (for three years) so too early to say. |
| Start Year | 2015 |
| Description | A Randomised Controlled Feasibility Trial of a Novel Transdiagnostic Psychological Intervention for Mood and Anxiety Disorders. The proposed study would aim to conduct a feasibility trial of a transdiagnostic psychological treatment protocol. |
| Organisation | University of Exeter |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Statistical analyses implementation planning |
| Collaborator Contribution | Help with patient recruitment and specialist advice about the handling of patients and the testing procedure and measures used. |
| Impact | The collaboration has only received funding as of January 2015 (for three years) so too early to say. |
| Start Year | 2015 |
| Description | A Randomised Controlled Feasibility Trial of a Novel Transdiagnostic Psychological Intervention for Mood and Anxiety Disorders. The proposed study would aim to conduct a feasibility trial of a transdiagnostic psychological treatment protocol. |
| Organisation | University of New South Wales |
| Country | Australia |
| Sector | Academic/University |
| PI Contribution | Statistical analyses implementation planning |
| Collaborator Contribution | Help with patient recruitment and specialist advice about the handling of patients and the testing procedure and measures used. |
| Impact | The collaboration has only received funding as of January 2015 (for three years) so too early to say. |
| Start Year | 2015 |
| Description | Automatic analysis (aa): Efficient neuroimaging workflows and parallel processing using Matlab |
| Organisation | Radboud University Nijmegen |
| Department | Donders Institute for Brain, Cognition and Behaviour |
| Country | Netherlands |
| Sector | Academic/University |
| PI Contribution | Automatic analysis (aa) is a framework for medical image analysis designed to allow users to achieve an efficient analysis workflow, whether analyzing a single dataset or creating a complex pipeline with many thousands of acquisitions. aa uses Matlab, and brings together many of the best tools for fMRI analysis (e.g., from SPM5/8/12, FSL and Freesurfer), and MEG/EEG (EEGlab). Publications: see below |
| Collaborator Contribution | Automatic analysis (aa) is a framework for medical image analysis designed to allow users to achieve an efficient analysis workflow, whether analyzing a single dataset or creating a complex pipeline with many thousands of acquisitions. aa uses Matlab, and brings together many of the best tools for fMRI analysis (e.g., from SPM5/8/12, FSL and Freesurfer), and MEG/EEG (EEGlab). Publications: see below |
| Impact | GitHub repository: https://github.com/rhodricusack/automaticanalysis Indexed publication: DOI: 10.3389/fninf.2014.00090 |
| Start Year | 2012 |
| Description | Automatic analysis (aa): Efficient neuroimaging workflows and parallel processing using Matlab |
| Organisation | Washington University in St Louis |
| Country | United States |
| Sector | Academic/University |
| PI Contribution | Automatic analysis (aa) is a framework for medical image analysis designed to allow users to achieve an efficient analysis workflow, whether analyzing a single dataset or creating a complex pipeline with many thousands of acquisitions. aa uses Matlab, and brings together many of the best tools for fMRI analysis (e.g., from SPM5/8/12, FSL and Freesurfer), and MEG/EEG (EEGlab). Publications: see below |
| Collaborator Contribution | Automatic analysis (aa) is a framework for medical image analysis designed to allow users to achieve an efficient analysis workflow, whether analyzing a single dataset or creating a complex pipeline with many thousands of acquisitions. aa uses Matlab, and brings together many of the best tools for fMRI analysis (e.g., from SPM5/8/12, FSL and Freesurfer), and MEG/EEG (EEGlab). Publications: see below |
| Impact | GitHub repository: https://github.com/rhodricusack/automaticanalysis Indexed publication: DOI: 10.3389/fninf.2014.00090 |
| Start Year | 2012 |
| Description | Automatic analysis (aa): Efficient neuroimaging workflows and parallel processing using Matlab |
| Organisation | Western University |
| Country | Canada |
| Sector | Academic/University |
| PI Contribution | Automatic analysis (aa) is a framework for medical image analysis designed to allow users to achieve an efficient analysis workflow, whether analyzing a single dataset or creating a complex pipeline with many thousands of acquisitions. aa uses Matlab, and brings together many of the best tools for fMRI analysis (e.g., from SPM5/8/12, FSL and Freesurfer), and MEG/EEG (EEGlab). Publications: see below |
| Collaborator Contribution | Automatic analysis (aa) is a framework for medical image analysis designed to allow users to achieve an efficient analysis workflow, whether analyzing a single dataset or creating a complex pipeline with many thousands of acquisitions. aa uses Matlab, and brings together many of the best tools for fMRI analysis (e.g., from SPM5/8/12, FSL and Freesurfer), and MEG/EEG (EEGlab). Publications: see below |
| Impact | GitHub repository: https://github.com/rhodricusack/automaticanalysis Indexed publication: DOI: 10.3389/fninf.2014.00090 |
| Start Year | 2012 |
| Description | Brain Imaging Data Structure to organize and describe your neuroimaging and behavioral data in simple and intuitive way |
| Organisation | Stanford University |
| Department | Stanford Center for Reproducible Neuroscience |
| Country | United States |
| Sector | Academic/University |
| PI Contribution | I have been contributing to building the BIDS models and a BIDS App for automatic analysis and I have contributed to the manuscripts with DOIs of 10.1038/sdata.2016.44 and 10.1371/journal.pcbi.1005209 |
| Collaborator Contribution | They have been contributing to building the BIDS models and various BIDS App and they have contributed to the manuscripts with DOIs of 10.1038/sdata.2016.44 and 10.1371/journal.pcbi.1005209 |
| Impact | BIDS model (http://bids.neuroimaging.io): multi-disciplinary (IT, data science, neuroimaging) BIDS Apps (http://bids-apps.neuroimaging.io/): multi-disciplinary (IT, programming, neuorimaging, statistics) |
| Start Year | 2015 |
| Description | CENTER-TBI |
| Organisation | University of Cambridge |
| Department | Division of Anaesthesia |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | CENTER-TBI aims to advance the care for patients with traumatic brain injury (TBI), a field in medicine with one of the greatest unmet needs. Data collection has been taking place in 60 centres across Europe, with up to 5400 patients recruited. During the early stages of the project I was involved in the selection and optimisation of MRI acquisition sequences, in particular for diffusion MRI. More recently I have been involved in developing the data analysis pipeline, in particular working on methods for MRI data harmonization. |
| Collaborator Contribution | Managing patient recruitment and data acquisition. Creating a local database for all MRI data. |
| Impact | Data collection for this project has only just finished, so no outputs yet to report. |
| Start Year | 2012 |
| Description | CamCAN |
| Organisation | University of Cambridge |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Marta Correia Optimisation of MRI acquisition sequences. Development of analysis pipeline for DKI data. Supervising masters student in 2011/2012 and PhD student (started in 2013). Co-writing of manuscripts. Rafael Henriques Development of method for analysis of DKI data. Co-writing of manuscripts. Tibor Auer Support in implementation of automated pipelines for data analysis. |
| Collaborator Contribution | MRI data. Co-writing of manuscripts. |
| Impact | Indexed manuscripts: DOI: 10.1016/j.neuroimage.2015.09.018 Abstract presented at the ESMRM annual meeting 2012. Full manuscript in preparation. |
| Start Year | 2010 |
| Description | Center-TBI |
| Organisation | University of Cambridge |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Development of analysis tools for multi-center MRI data of acute and chronic TBI patients. Supervising masters student. |
| Collaborator Contribution | Center-TBI and the participating institutions will provide the patient data. |
| Impact | None as yet. |
| Start Year | 2014 |
| Description | DIffusion Tensor Imaging of aphasia and stroke |
| Organisation | University College London |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Analysis of DTI data from stroke patients with aphasia. Co-writing of manuscripts. |
| Collaborator Contribution | Provided the patient data. Statistical analysis of cognitive data. Co-writing of manuscripts. |
| Impact | One peer reviewed publication: http://www.tandfonline.com/doi/abs/10.1080/02687038.2010.534803#.VGFNlDSsX0g One publication under review with Human Brain Mapping. |
| Start Year | 2012 |
| Description | DIffusion Tensor Imaging of aphasia and stroke |
| Organisation | University of Cambridge |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Analysis of DTI data from stroke patients with aphasia. Co-writing of manuscripts. |
| Collaborator Contribution | Provided the patient data. Statistical analysis of cognitive data. Co-writing of manuscripts. |
| Impact | One peer reviewed publication: http://www.tandfonline.com/doi/abs/10.1080/02687038.2010.534803#.VGFNlDSsX0g One publication under review with Human Brain Mapping. |
| Start Year | 2012 |
| Description | Development of Diffusion Kurtosis Imaging (DKI) Methods |
| Organisation | University of Lisbon |
| Country | Portugal |
| Sector | Academic/University |
| PI Contribution | Co-supervising a masters student in 2011/2012 working on optimisation of analysis pipelines for DKI. Supervising a PhD student working on biophysical models for DKI data. Data sharing agreement for MRI data. Co-writing of a publication. |
| Collaborator Contribution | Co-supervising a masters student in 2011/2012. Co-writing a publication. Preparation and submission of a patent with the INPI (Portuguese Institute for Intellectual Property). |
| Impact | Patent submitted with the INPI (Portuguese Institute for Intellectual Property). Publication submitted to Neuroimage (currently under review). |
| Start Year | 2011 |
| Description | Development of fMRI acquistion sequences |
| Organisation | Siemens Healthcare |
| Department | Siemens Medical Solutions |
| Country | Germany |
| Sector | Private |
| PI Contribution | Development of an efficient acquisition scheme for whole brain fMRI. |
| Impact | Patent for Single shot partial dial echo (SPADE) EPI - An efficient acquisition scheme for whole brain fMRI. Filed in UK and USA. |
| Start Year | 2006 |
| Description | EEG/MEG studies on language production |
| Organisation | Columbia University |
| Country | United States |
| Sector | Academic/University |
| PI Contribution | The MRC-CBU provided the data acquisition facilities (EEG/MEG) and computing infrastructure. Dr. Olaf Hauk supervised data acquisition and performed most of the data analysis, and contributed to the writing up of the results. |
| Collaborator Contribution | Dr. Michele Miozzo initiated these studies, contributed stimuli and large parts of the experimental design, and first-authored one and possible other papers. |
| Impact | Paper in Cerebral Cortex (2014): http://www.ncbi.nlm.nih.gov/pubmed/25005037 Conference Abstract (2010): http://www.frontiersin.org/10.3389/conf.fnins.2010.06.00238/event_abstract Masters Thesis of Christina Schuster at MRC-CBU |
| Start Year | 2009 |
| Description | Grant co-applicant: A Randomised Controlled Feasibility Trial of a Novel Transdiagnostic Psychological Intervention for Mood and Anxiety Disorders. |
| Organisation | University of Cambridge |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Preparation of the statistical sections of application and on-going statistical support during the 36 months of the study. |
| Collaborator Contribution | Statistical support with randomisation and analysis. |
| Impact | No outcomes as yet but it is hoped that this clinical research work will be help people and their families who have mood disorders. |
| Start Year | 2016 |
| Description | MEG study on free will with Greg Davies |
| Organisation | University of Cambridge |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Olaf Hauk provided advice on experimental design and data analysis, training a post-doc |
| Collaborator Contribution | The project is part of Greg Davies' grant on the neuroscience of free will. One post-doc is currently working on the project. |
| Impact | No outcomes yet |
| Start Year | 2013 |
| Description | MR sepctroscopy of GABA |
| Organisation | University of Utah |
| Country | United States |
| Sector | Academic/University |
| PI Contribution | MRS data acquisition and analysis. Co-writing of a conference abstract and a manuscript. |
| Collaborator Contribution | Andrew Prescot from the University of Utah has provided the MRS acquisition sequence and analysis software. |
| Impact | Abstract accepted for presentation at the SfN meeting 2014. Full manuscript in preparation. |
| Start Year | 2013 |
| Description | MRI of Traumatic Brain Injury |
| Organisation | University of Cambridge |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Supervising a masters student working on MRI data calibration methods for multi-center studies. Analysis of MRI data. Co-writing of manuscripts. |
| Collaborator Contribution | The University of Cambridge has provided the patient data. Co-writing of manuscripts. |
| Impact | Several abstracts presented at relevant conferences, including ISMRM and HBM. One peer reviwed publication http://www.nature.com/jcbfm/journal/v34/n10/full/jcbfm2014123a.html and another one under review. |
| Start Year | 2009 |
| Description | Multimodal imaging of stroke recovery |
| Organisation | University of the Basque Country |
| Country | Spain |
| Sector | Academic/University |
| PI Contribution | Host PhD-Student: Rosalia Dacosta Aguayo Publications (see below) |
| Collaborator Contribution | Methodological support Publications (see below) |
| Impact | Indexed publications: PubmedIDs: 25324040, 24523262, 24475078 |
| Start Year | 2012 |
| Description | Natural reading in EEG/MEG |
| Organisation | Humboldt University of Berlin |
| Country | Germany |
| Sector | Academic/University |
| PI Contribution | Analysed EEG data using regression and mixed-effects modelling. Contributed to manuscripts and conference abstracts. Several talks and lab visits. |
| Collaborator Contribution | The colleagues at HU Berlin provided the EEG and eye-tracking data and ran several types of analysis, and contributed to a manuscript. |
| Impact | Abstract at Neurobiology of Language conference 2012: http://www.neurolang.org/programs/NLC2012_Program.pdf Results have been presented in several talks |
| Start Year | 2010 |
| Description | Neuro-cognitive foundations of combinatorial grammar |
| Organisation | University of Cambridge |
| Department | Cambridge Institute for Medical Research (CIMR) |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Co-authored ESRC Research Grant application, particularly on EEG/MEG studies. |
| Collaborator Contribution | Dr. Bozic is main grant applicant. |
| Impact | Grant application and reply to reviewer comments. |
| Start Year | 2014 |
| Description | Neurofeedback using real-time fMRI |
| Organisation | Maastricht University (UM) |
| Country | Netherlands |
| Sector | Academic/University |
| PI Contribution | Setting up, maintaining and developing a rea-time fMRI system. Hosting PhD-student: Wan Ilma Dewiputri Publications (see below) |
| Collaborator Contribution | Co-supervising PhD-student: Wan Ilma Dewiputri Providing a faster and more reliable way to obtain acquired images in real-time. Publications (see below) |
| Impact | PhD-Project: Wan Ilma Dewiputri Indexed publications: PMCID: PMC3957350 DOI: 10.3389/fnhum.2014.00990 DOI: 10.3389/fnhum.2015.00547 Conference presentations: Auer T, Schweizer R, Frahm J. Neural circuits underlying the neurofeedback training, 2014 Meeting of the Society of Applied Neurosciences, 2014, Utrecht, The Netherlands Auer T, Schweizer R, Frahm J. The role of the anterior midcingulate cortex in neurofeedback training, 19th Annual Meeting of the Organization for Human Brain Mapping, 2013, Seattle, USA Auer T, Frahm J. Confounding factors in Neurofeedback training based on fMRI of motor imagery, 2011 Meeting of the Society of Applied Neurosciences, 2011, Thessaloniki, Greece |
| Start Year | 2012 |
| Description | Neurofeedback using real-time fMRI |
| Organisation | Max Planck Society |
| Department | Max Planck Institute for Biophysical Chemistry Goettingen |
| Country | Germany |
| Sector | Academic/University |
| PI Contribution | Setting up, maintaining and developing a rea-time fMRI system. Hosting PhD-student: Wan Ilma Dewiputri Publications (see below) |
| Collaborator Contribution | Co-supervising PhD-student: Wan Ilma Dewiputri Providing a faster and more reliable way to obtain acquired images in real-time. Publications (see below) |
| Impact | PhD-Project: Wan Ilma Dewiputri Indexed publications: PMCID: PMC3957350 DOI: 10.3389/fnhum.2014.00990 DOI: 10.3389/fnhum.2015.00547 Conference presentations: Auer T, Schweizer R, Frahm J. Neural circuits underlying the neurofeedback training, 2014 Meeting of the Society of Applied Neurosciences, 2014, Utrecht, The Netherlands Auer T, Schweizer R, Frahm J. The role of the anterior midcingulate cortex in neurofeedback training, 19th Annual Meeting of the Organization for Human Brain Mapping, 2013, Seattle, USA Auer T, Frahm J. Confounding factors in Neurofeedback training based on fMRI of motor imagery, 2011 Meeting of the Society of Applied Neurosciences, 2011, Thessaloniki, Greece |
| Start Year | 2012 |
| Description | Neuroimaging Data Model (NIDM): standardising the description of the neuroimaging data, the processing pipeline and the results. |
| Organisation | Columbia University |
| Country | United States |
| Sector | Academic/University |
| PI Contribution | The Neuroimaging Data Model (NIDM) is a collection of specification documents that define extensions the the W3C PROV standard for the domain of human brain mapping. NIDM uses provenance information as means to link components from different stages of the scientific research process from dataset descriptors and computational workflow, to derived data and publication. Publication (see below) |
| Collaborator Contribution | The Neuroimaging Data Model (NIDM) is a collection of specification documents that define extensions the the W3C PROV standard for the domain of human brain mapping. NIDM uses provenance information as means to link components from different stages of the scientific research process from dataset descriptors and computational workflow, to derived data and publication. Publication (see below) |
| Impact | Indexed abstracts: DOI: 10.3389/conf.fninf.2014.18.00031 DOI: 10.3389/conf.fnins.2015.91.00004 |
| Start Year | 2013 |
| Description | Neuroimaging Data Model (NIDM): standardising the description of the neuroimaging data, the processing pipeline and the results. |
| Organisation | Concordia University |
| Department | PERFORM Centre and Department of Psychology |
| Country | Canada |
| Sector | Academic/University |
| PI Contribution | The Neuroimaging Data Model (NIDM) is a collection of specification documents that define extensions the the W3C PROV standard for the domain of human brain mapping. NIDM uses provenance information as means to link components from different stages of the scientific research process from dataset descriptors and computational workflow, to derived data and publication. Publication (see below) |
| Collaborator Contribution | The Neuroimaging Data Model (NIDM) is a collection of specification documents that define extensions the the W3C PROV standard for the domain of human brain mapping. NIDM uses provenance information as means to link components from different stages of the scientific research process from dataset descriptors and computational workflow, to derived data and publication. Publication (see below) |
| Impact | Indexed abstracts: DOI: 10.3389/conf.fninf.2014.18.00031 DOI: 10.3389/conf.fnins.2015.91.00004 |
| Start Year | 2013 |
| Description | Neuroimaging Data Model (NIDM): standardising the description of the neuroimaging data, the processing pipeline and the results. |
| Organisation | Georgia State University |
| Country | United States |
| Sector | Academic/University |
| PI Contribution | The Neuroimaging Data Model (NIDM) is a collection of specification documents that define extensions the the W3C PROV standard for the domain of human brain mapping. NIDM uses provenance information as means to link components from different stages of the scientific research process from dataset descriptors and computational workflow, to derived data and publication. Publication (see below) |
| Collaborator Contribution | The Neuroimaging Data Model (NIDM) is a collection of specification documents that define extensions the the W3C PROV standard for the domain of human brain mapping. NIDM uses provenance information as means to link components from different stages of the scientific research process from dataset descriptors and computational workflow, to derived data and publication. Publication (see below) |
| Impact | Indexed abstracts: DOI: 10.3389/conf.fninf.2014.18.00031 DOI: 10.3389/conf.fnins.2015.91.00004 |
| Start Year | 2013 |
| Description | Neuroimaging Data Model (NIDM): standardising the description of the neuroimaging data, the processing pipeline and the results. |
| Organisation | Massachusetts General Hospital |
| Country | United States |
| Sector | Hospitals |
| PI Contribution | The Neuroimaging Data Model (NIDM) is a collection of specification documents that define extensions the the W3C PROV standard for the domain of human brain mapping. NIDM uses provenance information as means to link components from different stages of the scientific research process from dataset descriptors and computational workflow, to derived data and publication. Publication (see below) |
| Collaborator Contribution | The Neuroimaging Data Model (NIDM) is a collection of specification documents that define extensions the the W3C PROV standard for the domain of human brain mapping. NIDM uses provenance information as means to link components from different stages of the scientific research process from dataset descriptors and computational workflow, to derived data and publication. Publication (see below) |
| Impact | Indexed abstracts: DOI: 10.3389/conf.fninf.2014.18.00031 DOI: 10.3389/conf.fnins.2015.91.00004 |
| Start Year | 2013 |
| Description | Neuroimaging Data Model (NIDM): standardising the description of the neuroimaging data, the processing pipeline and the results. |
| Organisation | Massachusetts Institute of Technology |
| Country | United States |
| Sector | Academic/University |
| PI Contribution | The Neuroimaging Data Model (NIDM) is a collection of specification documents that define extensions the the W3C PROV standard for the domain of human brain mapping. NIDM uses provenance information as means to link components from different stages of the scientific research process from dataset descriptors and computational workflow, to derived data and publication. Publication (see below) |
| Collaborator Contribution | The Neuroimaging Data Model (NIDM) is a collection of specification documents that define extensions the the W3C PROV standard for the domain of human brain mapping. NIDM uses provenance information as means to link components from different stages of the scientific research process from dataset descriptors and computational workflow, to derived data and publication. Publication (see below) |
| Impact | Indexed abstracts: DOI: 10.3389/conf.fninf.2014.18.00031 DOI: 10.3389/conf.fnins.2015.91.00004 |
| Start Year | 2013 |
| Description | Neuroimaging Data Model (NIDM): standardising the description of the neuroimaging data, the processing pipeline and the results. |
| Organisation | Stanford University |
| Department | Department of Biology |
| Country | United States |
| Sector | Academic/University |
| PI Contribution | The Neuroimaging Data Model (NIDM) is a collection of specification documents that define extensions the the W3C PROV standard for the domain of human brain mapping. NIDM uses provenance information as means to link components from different stages of the scientific research process from dataset descriptors and computational workflow, to derived data and publication. Publication (see below) |
| Collaborator Contribution | The Neuroimaging Data Model (NIDM) is a collection of specification documents that define extensions the the W3C PROV standard for the domain of human brain mapping. NIDM uses provenance information as means to link components from different stages of the scientific research process from dataset descriptors and computational workflow, to derived data and publication. Publication (see below) |
| Impact | Indexed abstracts: DOI: 10.3389/conf.fninf.2014.18.00031 DOI: 10.3389/conf.fnins.2015.91.00004 |
| Start Year | 2013 |
| Description | Neuroimaging Data Model (NIDM): standardising the description of the neuroimaging data, the processing pipeline and the results. |
| Organisation | University College London |
| Department | Institute of Neurology |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | The Neuroimaging Data Model (NIDM) is a collection of specification documents that define extensions the the W3C PROV standard for the domain of human brain mapping. NIDM uses provenance information as means to link components from different stages of the scientific research process from dataset descriptors and computational workflow, to derived data and publication. Publication (see below) |
| Collaborator Contribution | The Neuroimaging Data Model (NIDM) is a collection of specification documents that define extensions the the W3C PROV standard for the domain of human brain mapping. NIDM uses provenance information as means to link components from different stages of the scientific research process from dataset descriptors and computational workflow, to derived data and publication. Publication (see below) |
| Impact | Indexed abstracts: DOI: 10.3389/conf.fninf.2014.18.00031 DOI: 10.3389/conf.fnins.2015.91.00004 |
| Start Year | 2013 |
| Description | Neuroimaging Data Model (NIDM): standardising the description of the neuroimaging data, the processing pipeline and the results. |
| Organisation | University of California |
| Country | United States |
| Sector | Academic/University |
| PI Contribution | The Neuroimaging Data Model (NIDM) is a collection of specification documents that define extensions the the W3C PROV standard for the domain of human brain mapping. NIDM uses provenance information as means to link components from different stages of the scientific research process from dataset descriptors and computational workflow, to derived data and publication. Publication (see below) |
| Collaborator Contribution | The Neuroimaging Data Model (NIDM) is a collection of specification documents that define extensions the the W3C PROV standard for the domain of human brain mapping. NIDM uses provenance information as means to link components from different stages of the scientific research process from dataset descriptors and computational workflow, to derived data and publication. Publication (see below) |
| Impact | Indexed abstracts: DOI: 10.3389/conf.fninf.2014.18.00031 DOI: 10.3389/conf.fnins.2015.91.00004 |
| Start Year | 2013 |
| Description | Neuroimaging Data Model (NIDM): standardising the description of the neuroimaging data, the processing pipeline and the results. |
| Organisation | University of California |
| Country | United States |
| Sector | Academic/University |
| PI Contribution | The Neuroimaging Data Model (NIDM) is a collection of specification documents that define extensions the the W3C PROV standard for the domain of human brain mapping. NIDM uses provenance information as means to link components from different stages of the scientific research process from dataset descriptors and computational workflow, to derived data and publication. Publication (see below) |
| Collaborator Contribution | The Neuroimaging Data Model (NIDM) is a collection of specification documents that define extensions the the W3C PROV standard for the domain of human brain mapping. NIDM uses provenance information as means to link components from different stages of the scientific research process from dataset descriptors and computational workflow, to derived data and publication. Publication (see below) |
| Impact | Indexed abstracts: DOI: 10.3389/conf.fninf.2014.18.00031 DOI: 10.3389/conf.fnins.2015.91.00004 |
| Start Year | 2013 |
| Description | Neuroimaging Data Model (NIDM): standardising the description of the neuroimaging data, the processing pipeline and the results. |
| Organisation | University of California, Berkeley |
| Department | Helen Wills Neuroscience Institute |
| Country | United States |
| Sector | Academic/University |
| PI Contribution | The Neuroimaging Data Model (NIDM) is a collection of specification documents that define extensions the the W3C PROV standard for the domain of human brain mapping. NIDM uses provenance information as means to link components from different stages of the scientific research process from dataset descriptors and computational workflow, to derived data and publication. Publication (see below) |
| Collaborator Contribution | The Neuroimaging Data Model (NIDM) is a collection of specification documents that define extensions the the W3C PROV standard for the domain of human brain mapping. NIDM uses provenance information as means to link components from different stages of the scientific research process from dataset descriptors and computational workflow, to derived data and publication. Publication (see below) |
| Impact | Indexed abstracts: DOI: 10.3389/conf.fninf.2014.18.00031 DOI: 10.3389/conf.fnins.2015.91.00004 |
| Start Year | 2013 |
| Description | Neuroimaging Data Model (NIDM): standardising the description of the neuroimaging data, the processing pipeline and the results. |
| Organisation | University of California, San Diego (UCSD) |
| Department | Qualcomm Institute |
| Country | United States |
| Sector | Academic/University |
| PI Contribution | The Neuroimaging Data Model (NIDM) is a collection of specification documents that define extensions the the W3C PROV standard for the domain of human brain mapping. NIDM uses provenance information as means to link components from different stages of the scientific research process from dataset descriptors and computational workflow, to derived data and publication. Publication (see below) |
| Collaborator Contribution | The Neuroimaging Data Model (NIDM) is a collection of specification documents that define extensions the the W3C PROV standard for the domain of human brain mapping. NIDM uses provenance information as means to link components from different stages of the scientific research process from dataset descriptors and computational workflow, to derived data and publication. Publication (see below) |
| Impact | Indexed abstracts: DOI: 10.3389/conf.fninf.2014.18.00031 DOI: 10.3389/conf.fnins.2015.91.00004 |
| Start Year | 2013 |
| Description | Neuroimaging Data Model (NIDM): standardising the description of the neuroimaging data, the processing pipeline and the results. |
| Organisation | University of Southern California |
| Department | Information Sciences Institute (ISI) |
| Country | United States |
| Sector | Academic/University |
| PI Contribution | The Neuroimaging Data Model (NIDM) is a collection of specification documents that define extensions the the W3C PROV standard for the domain of human brain mapping. NIDM uses provenance information as means to link components from different stages of the scientific research process from dataset descriptors and computational workflow, to derived data and publication. Publication (see below) |
| Collaborator Contribution | The Neuroimaging Data Model (NIDM) is a collection of specification documents that define extensions the the W3C PROV standard for the domain of human brain mapping. NIDM uses provenance information as means to link components from different stages of the scientific research process from dataset descriptors and computational workflow, to derived data and publication. Publication (see below) |
| Impact | Indexed abstracts: DOI: 10.3389/conf.fninf.2014.18.00031 DOI: 10.3389/conf.fnins.2015.91.00004 |
| Start Year | 2013 |
| Description | Neuroimaging Data Model (NIDM): standardising the description of the neuroimaging data, the processing pipeline and the results. |
| Organisation | University of Warwick |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | The Neuroimaging Data Model (NIDM) is a collection of specification documents that define extensions the the W3C PROV standard for the domain of human brain mapping. NIDM uses provenance information as means to link components from different stages of the scientific research process from dataset descriptors and computational workflow, to derived data and publication. Publication (see below) |
| Collaborator Contribution | The Neuroimaging Data Model (NIDM) is a collection of specification documents that define extensions the the W3C PROV standard for the domain of human brain mapping. NIDM uses provenance information as means to link components from different stages of the scientific research process from dataset descriptors and computational workflow, to derived data and publication. Publication (see below) |
| Impact | Indexed abstracts: DOI: 10.3389/conf.fninf.2014.18.00031 DOI: 10.3389/conf.fnins.2015.91.00004 |
| Start Year | 2013 |
| Description | Neuroimaging Data Model (NIDM): standardising the description of the neuroimaging data, the processing pipeline and the results. |
| Organisation | University of Washington |
| Country | United States |
| Sector | Academic/University |
| PI Contribution | The Neuroimaging Data Model (NIDM) is a collection of specification documents that define extensions the the W3C PROV standard for the domain of human brain mapping. NIDM uses provenance information as means to link components from different stages of the scientific research process from dataset descriptors and computational workflow, to derived data and publication. Publication (see below) |
| Collaborator Contribution | The Neuroimaging Data Model (NIDM) is a collection of specification documents that define extensions the the W3C PROV standard for the domain of human brain mapping. NIDM uses provenance information as means to link components from different stages of the scientific research process from dataset descriptors and computational workflow, to derived data and publication. Publication (see below) |
| Impact | Indexed abstracts: DOI: 10.3389/conf.fninf.2014.18.00031 DOI: 10.3389/conf.fnins.2015.91.00004 |
| Start Year | 2013 |
| Description | Neuroimaging Data Model to describe neuroimaging dataset, computational workflow and derived data for publication |
| Organisation | International Neuroinformatics Coordinating Facility |
| Country | Sweden |
| Sector | Charity/Non Profit |
| PI Contribution | I have been contributing to building the NIDM-Results and NIDM-Workflow models and I have contributed to various conference abstracts and the manuscript with DOI: doi:10.1038/sdata.2016.102 |
| Collaborator Contribution | They have been contributing to building the NIDM-Experint, NIDM-Results and NIDM-Workflow models and they have contributed to various conference abstracts and the manuscript with DOI: doi:10.1038/sdata.2016.102 |
| Impact | NIDM-Results (http://nidm.nidash.org/specs/nidm-results.html): multi-discplinary (physics, statistics, IT) |
| Start Year | 2014 |
| Description | On Interview panel for RA position that Peter Watson will be co-supervising |
| Organisation | University of Cambridge |
| Department | Cambridge Intellectual & Developmental Disabilities Research Group (CIDDRG) |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | I will be co-supervising a RA at Douglas House looking at statistical aspects of a longitudinal study assessing treatment for transcutaneous vagus nerve stimulation as part of a team who have experience in intellectual disabilities. The initial stage is the interview process taking place on 12th August 2016 where as part of a panel I will have an input into the appointment. |
| Collaborator Contribution | The partners are psychiatrists who will enable access of the RA to patients who we hope can benefit from the proposed treatment. |
| Impact | This is just at the interview stage but it is envisaged that we will have publications and the successful applicant will obtain a PhD thesis fro the research. |
| Start Year | 2016 |
| Description | PTSD grant co-applicant 2013-2016 |
| Organisation | King's College London |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | A pilot randomised clinical trial of trauma-focused cognitive behaviour therapy for posttraumatic stress disorder (PTSD) in young children aged 3-8 years PB-PG-0211-24045 with T. Dalgleish, R. Meiser-Stedman, A. Humphries, A. McKinnon, A. Werner.Seidler, C. Dixon, A, Humphrey, P.Smith, T. Eley and S. Schweizer |
| Collaborator Contribution | Responsible for randomisation of volunteers to groups and for statistical analyses |
| Impact | Currently recruiting volunteers |
| Start Year | 2013 |
| Description | PTSD grant co-applicant 2013-2016 |
| Organisation | University of Cambridge |
| Department | Autism Research Centre (ARC) |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | A pilot randomised clinical trial of trauma-focused cognitive behaviour therapy for posttraumatic stress disorder (PTSD) in young children aged 3-8 years PB-PG-0211-24045 with T. Dalgleish, R. Meiser-Stedman, A. Humphries, A. McKinnon, A. Werner.Seidler, C. Dixon, A, Humphrey, P.Smith, T. Eley and S. Schweizer |
| Collaborator Contribution | Responsible for randomisation of volunteers to groups and for statistical analyses |
| Impact | Currently recruiting volunteers |
| Start Year | 2013 |
| Description | PTSD grant co-applicant 2013-2016 |
| Organisation | University of Cambridge |
| Department | Cambridge Clinical Research Centre for Affective Disorders |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | A pilot randomised clinical trial of trauma-focused cognitive behaviour therapy for posttraumatic stress disorder (PTSD) in young children aged 3-8 years PB-PG-0211-24045 with T. Dalgleish, R. Meiser-Stedman, A. Humphries, A. McKinnon, A. Werner.Seidler, C. Dixon, A, Humphrey, P.Smith, T. Eley and S. Schweizer |
| Collaborator Contribution | Responsible for randomisation of volunteers to groups and for statistical analyses |
| Impact | Currently recruiting volunteers |
| Start Year | 2013 |
| Description | Spatial filtering of EEG/MEG data |
| Organisation | Aalto University |
| Country | Finland |
| Sector | Academic/University |
| PI Contribution | Supervised post-doc Dr. Matti Stenroos (Aalto) during his 2-year stay at MRC CBU. I provided theoretical input and co-wrote manuscripts, the CBU provided data and computing infrastructure. |
| Collaborator Contribution | Dr. Matti Stenroos worked as a self-funded post-doc at the CBU. He provided theoretical tools, ran computer simulations and co-wrote manuscripts. |
| Impact | Peer reviewed papers: Human Brain Mapping (2014): http://www.ncbi.nlm.nih.gov/pubmed/23616402 Neuroimage (2013): http://www.ncbi.nlm.nih.gov/pubmed/23639259 Several conference abstracts and talks The DeFleCT method (HBM 2014) has been implemented in the SPM beamforming toolbox by Dr. Vladimir Litvak: https://code.google.com/p/spm-beamforming-toolbox/source/browse/trunk/private/DeFleCT.m?spec=svn95&r=95 |
| Start Year | 2010 |
| Description | The Brain Imaging Data Structure (BIDS): a standard for organizing and describing outputs of neuroimaging experiments |
| Organisation | Child Mind Institute |
| Country | United States |
| Sector | Hospitals |
| PI Contribution | We describe a simple and easy to adopt way of organizing neuroimaging and behavioral data. BIDS is heavily inspired by the format used internally by OpenfMRI.org. While working on BIDS we consulted many neuroscientists to make sure it covers most common experiments, but at the same time is intuitive and easy to adopt. The specification is intentionally based simple file formats and folder structures to reflect current lab practices and make it accessible to wide range of scientists coming from different backgrounds. Publications: see below |
| Collaborator Contribution | We describe a simple and easy to adopt way of organizing neuroimaging and behavioral data. BIDS is heavily inspired by the format used internally by OpenfMRI.org. While working on BIDS we consulted many neuroscientists to make sure it covers most common experiments, but at the same time is intuitive and easy to adopt. The specification is intentionally based simple file formats and folder structures to reflect current lab practices and make it accessible to wide range of scientists coming from different backgrounds. Publications: see below |
| Impact | Indexed abstract: DOI: 10.3389/conf.fnins.2015.91.00056 |
| Start Year | 2015 |
| Description | The Brain Imaging Data Structure (BIDS): a standard for organizing and describing outputs of neuroimaging experiments |
| Organisation | Dartmouth College |
| Department | Department of Psychological and Brain Sciences |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | We describe a simple and easy to adopt way of organizing neuroimaging and behavioral data. BIDS is heavily inspired by the format used internally by OpenfMRI.org. While working on BIDS we consulted many neuroscientists to make sure it covers most common experiments, but at the same time is intuitive and easy to adopt. The specification is intentionally based simple file formats and folder structures to reflect current lab practices and make it accessible to wide range of scientists coming from different backgrounds. Publications: see below |
| Collaborator Contribution | We describe a simple and easy to adopt way of organizing neuroimaging and behavioral data. BIDS is heavily inspired by the format used internally by OpenfMRI.org. While working on BIDS we consulted many neuroscientists to make sure it covers most common experiments, but at the same time is intuitive and easy to adopt. The specification is intentionally based simple file formats and folder structures to reflect current lab practices and make it accessible to wide range of scientists coming from different backgrounds. Publications: see below |
| Impact | Indexed abstract: DOI: 10.3389/conf.fnins.2015.91.00056 |
| Start Year | 2015 |
| Description | The Brain Imaging Data Structure (BIDS): a standard for organizing and describing outputs of neuroimaging experiments |
| Organisation | Massachusetts Institute of Technology |
| Country | United States |
| Sector | Academic/University |
| PI Contribution | We describe a simple and easy to adopt way of organizing neuroimaging and behavioral data. BIDS is heavily inspired by the format used internally by OpenfMRI.org. While working on BIDS we consulted many neuroscientists to make sure it covers most common experiments, but at the same time is intuitive and easy to adopt. The specification is intentionally based simple file formats and folder structures to reflect current lab practices and make it accessible to wide range of scientists coming from different backgrounds. Publications: see below |
| Collaborator Contribution | We describe a simple and easy to adopt way of organizing neuroimaging and behavioral data. BIDS is heavily inspired by the format used internally by OpenfMRI.org. While working on BIDS we consulted many neuroscientists to make sure it covers most common experiments, but at the same time is intuitive and easy to adopt. The specification is intentionally based simple file formats and folder structures to reflect current lab practices and make it accessible to wide range of scientists coming from different backgrounds. Publications: see below |
| Impact | Indexed abstract: DOI: 10.3389/conf.fnins.2015.91.00056 |
| Start Year | 2015 |
| Description | The Brain Imaging Data Structure (BIDS): a standard for organizing and describing outputs of neuroimaging experiments |
| Organisation | McGill University |
| Country | Canada |
| Sector | Academic/University |
| PI Contribution | We describe a simple and easy to adopt way of organizing neuroimaging and behavioral data. BIDS is heavily inspired by the format used internally by OpenfMRI.org. While working on BIDS we consulted many neuroscientists to make sure it covers most common experiments, but at the same time is intuitive and easy to adopt. The specification is intentionally based simple file formats and folder structures to reflect current lab practices and make it accessible to wide range of scientists coming from different backgrounds. Publications: see below |
| Collaborator Contribution | We describe a simple and easy to adopt way of organizing neuroimaging and behavioral data. BIDS is heavily inspired by the format used internally by OpenfMRI.org. While working on BIDS we consulted many neuroscientists to make sure it covers most common experiments, but at the same time is intuitive and easy to adopt. The specification is intentionally based simple file formats and folder structures to reflect current lab practices and make it accessible to wide range of scientists coming from different backgrounds. Publications: see below |
| Impact | Indexed abstract: DOI: 10.3389/conf.fnins.2015.91.00056 |
| Start Year | 2015 |
| Description | The Brain Imaging Data Structure (BIDS): a standard for organizing and describing outputs of neuroimaging experiments |
| Organisation | National Institutes of Health (NIH) |
| Department | National Institute of Mental Health (NIMH) |
| Country | United States |
| Sector | Public |
| PI Contribution | We describe a simple and easy to adopt way of organizing neuroimaging and behavioral data. BIDS is heavily inspired by the format used internally by OpenfMRI.org. While working on BIDS we consulted many neuroscientists to make sure it covers most common experiments, but at the same time is intuitive and easy to adopt. The specification is intentionally based simple file formats and folder structures to reflect current lab practices and make it accessible to wide range of scientists coming from different backgrounds. Publications: see below |
| Collaborator Contribution | We describe a simple and easy to adopt way of organizing neuroimaging and behavioral data. BIDS is heavily inspired by the format used internally by OpenfMRI.org. While working on BIDS we consulted many neuroscientists to make sure it covers most common experiments, but at the same time is intuitive and easy to adopt. The specification is intentionally based simple file formats and folder structures to reflect current lab practices and make it accessible to wide range of scientists coming from different backgrounds. Publications: see below |
| Impact | Indexed abstract: DOI: 10.3389/conf.fnins.2015.91.00056 |
| Start Year | 2015 |
| Description | The Brain Imaging Data Structure (BIDS): a standard for organizing and describing outputs of neuroimaging experiments |
| Organisation | Ohio State University |
| Department | Center for Cognitive and Behavioral Brain Imaging (CCBBI) |
| Country | United States |
| Sector | Academic/University |
| PI Contribution | We describe a simple and easy to adopt way of organizing neuroimaging and behavioral data. BIDS is heavily inspired by the format used internally by OpenfMRI.org. While working on BIDS we consulted many neuroscientists to make sure it covers most common experiments, but at the same time is intuitive and easy to adopt. The specification is intentionally based simple file formats and folder structures to reflect current lab practices and make it accessible to wide range of scientists coming from different backgrounds. Publications: see below |
| Collaborator Contribution | We describe a simple and easy to adopt way of organizing neuroimaging and behavioral data. BIDS is heavily inspired by the format used internally by OpenfMRI.org. While working on BIDS we consulted many neuroscientists to make sure it covers most common experiments, but at the same time is intuitive and easy to adopt. The specification is intentionally based simple file formats and folder structures to reflect current lab practices and make it accessible to wide range of scientists coming from different backgrounds. Publications: see below |
| Impact | Indexed abstract: DOI: 10.3389/conf.fnins.2015.91.00056 |
| Start Year | 2015 |
| Description | The Brain Imaging Data Structure (BIDS): a standard for organizing and describing outputs of neuroimaging experiments |
| Organisation | SRI International (inc) |
| Country | United States |
| Sector | Charity/Non Profit |
| PI Contribution | We describe a simple and easy to adopt way of organizing neuroimaging and behavioral data. BIDS is heavily inspired by the format used internally by OpenfMRI.org. While working on BIDS we consulted many neuroscientists to make sure it covers most common experiments, but at the same time is intuitive and easy to adopt. The specification is intentionally based simple file formats and folder structures to reflect current lab practices and make it accessible to wide range of scientists coming from different backgrounds. Publications: see below |
| Collaborator Contribution | We describe a simple and easy to adopt way of organizing neuroimaging and behavioral data. BIDS is heavily inspired by the format used internally by OpenfMRI.org. While working on BIDS we consulted many neuroscientists to make sure it covers most common experiments, but at the same time is intuitive and easy to adopt. The specification is intentionally based simple file formats and folder structures to reflect current lab practices and make it accessible to wide range of scientists coming from different backgrounds. Publications: see below |
| Impact | Indexed abstract: DOI: 10.3389/conf.fnins.2015.91.00056 |
| Start Year | 2015 |
| Description | The Brain Imaging Data Structure (BIDS): a standard for organizing and describing outputs of neuroimaging experiments |
| Organisation | Squishymedia |
| Country | United States |
| Sector | Private |
| PI Contribution | We describe a simple and easy to adopt way of organizing neuroimaging and behavioral data. BIDS is heavily inspired by the format used internally by OpenfMRI.org. While working on BIDS we consulted many neuroscientists to make sure it covers most common experiments, but at the same time is intuitive and easy to adopt. The specification is intentionally based simple file formats and folder structures to reflect current lab practices and make it accessible to wide range of scientists coming from different backgrounds. Publications: see below |
| Collaborator Contribution | We describe a simple and easy to adopt way of organizing neuroimaging and behavioral data. BIDS is heavily inspired by the format used internally by OpenfMRI.org. While working on BIDS we consulted many neuroscientists to make sure it covers most common experiments, but at the same time is intuitive and easy to adopt. The specification is intentionally based simple file formats and folder structures to reflect current lab practices and make it accessible to wide range of scientists coming from different backgrounds. Publications: see below |
| Impact | Indexed abstract: DOI: 10.3389/conf.fnins.2015.91.00056 |
| Start Year | 2015 |
| Description | The Brain Imaging Data Structure (BIDS): a standard for organizing and describing outputs of neuroimaging experiments |
| Organisation | Stanford University |
| Department | Department of Psychology |
| Country | United States |
| Sector | Academic/University |
| PI Contribution | We describe a simple and easy to adopt way of organizing neuroimaging and behavioral data. BIDS is heavily inspired by the format used internally by OpenfMRI.org. While working on BIDS we consulted many neuroscientists to make sure it covers most common experiments, but at the same time is intuitive and easy to adopt. The specification is intentionally based simple file formats and folder structures to reflect current lab practices and make it accessible to wide range of scientists coming from different backgrounds. Publications: see below |
| Collaborator Contribution | We describe a simple and easy to adopt way of organizing neuroimaging and behavioral data. BIDS is heavily inspired by the format used internally by OpenfMRI.org. While working on BIDS we consulted many neuroscientists to make sure it covers most common experiments, but at the same time is intuitive and easy to adopt. The specification is intentionally based simple file formats and folder structures to reflect current lab practices and make it accessible to wide range of scientists coming from different backgrounds. Publications: see below |
| Impact | Indexed abstract: DOI: 10.3389/conf.fnins.2015.91.00056 |
| Start Year | 2015 |
| Description | The Brain Imaging Data Structure (BIDS): a standard for organizing and describing outputs of neuroimaging experiments |
| Organisation | Stanford University |
| Country | United States |
| Sector | Academic/University |
| PI Contribution | We describe a simple and easy to adopt way of organizing neuroimaging and behavioral data. BIDS is heavily inspired by the format used internally by OpenfMRI.org. While working on BIDS we consulted many neuroscientists to make sure it covers most common experiments, but at the same time is intuitive and easy to adopt. The specification is intentionally based simple file formats and folder structures to reflect current lab practices and make it accessible to wide range of scientists coming from different backgrounds. Publications: see below |
| Collaborator Contribution | We describe a simple and easy to adopt way of organizing neuroimaging and behavioral data. BIDS is heavily inspired by the format used internally by OpenfMRI.org. While working on BIDS we consulted many neuroscientists to make sure it covers most common experiments, but at the same time is intuitive and easy to adopt. The specification is intentionally based simple file formats and folder structures to reflect current lab practices and make it accessible to wide range of scientists coming from different backgrounds. Publications: see below |
| Impact | Indexed abstract: DOI: 10.3389/conf.fnins.2015.91.00056 |
| Start Year | 2015 |
| Description | The Brain Imaging Data Structure (BIDS): a standard for organizing and describing outputs of neuroimaging experiments |
| Organisation | The National Institute for Research in Computer Science and Control (INRIA) |
| Department | Saclay |
| Country | France |
| Sector | Charity/Non Profit |
| PI Contribution | We describe a simple and easy to adopt way of organizing neuroimaging and behavioral data. BIDS is heavily inspired by the format used internally by OpenfMRI.org. While working on BIDS we consulted many neuroscientists to make sure it covers most common experiments, but at the same time is intuitive and easy to adopt. The specification is intentionally based simple file formats and folder structures to reflect current lab practices and make it accessible to wide range of scientists coming from different backgrounds. Publications: see below |
| Collaborator Contribution | We describe a simple and easy to adopt way of organizing neuroimaging and behavioral data. BIDS is heavily inspired by the format used internally by OpenfMRI.org. While working on BIDS we consulted many neuroscientists to make sure it covers most common experiments, but at the same time is intuitive and easy to adopt. The specification is intentionally based simple file formats and folder structures to reflect current lab practices and make it accessible to wide range of scientists coming from different backgrounds. Publications: see below |
| Impact | Indexed abstract: DOI: 10.3389/conf.fnins.2015.91.00056 |
| Start Year | 2015 |
| Description | The Brain Imaging Data Structure (BIDS): a standard for organizing and describing outputs of neuroimaging experiments |
| Organisation | The Otto-von-Guericke University Magdeburg |
| Department | Institute of Psychology |
| Country | Germany |
| Sector | Academic/University |
| PI Contribution | We describe a simple and easy to adopt way of organizing neuroimaging and behavioral data. BIDS is heavily inspired by the format used internally by OpenfMRI.org. While working on BIDS we consulted many neuroscientists to make sure it covers most common experiments, but at the same time is intuitive and easy to adopt. The specification is intentionally based simple file formats and folder structures to reflect current lab practices and make it accessible to wide range of scientists coming from different backgrounds. Publications: see below |
| Collaborator Contribution | We describe a simple and easy to adopt way of organizing neuroimaging and behavioral data. BIDS is heavily inspired by the format used internally by OpenfMRI.org. While working on BIDS we consulted many neuroscientists to make sure it covers most common experiments, but at the same time is intuitive and easy to adopt. The specification is intentionally based simple file formats and folder structures to reflect current lab practices and make it accessible to wide range of scientists coming from different backgrounds. Publications: see below |
| Impact | Indexed abstract: DOI: 10.3389/conf.fnins.2015.91.00056 |
| Start Year | 2015 |
| Description | The Brain Imaging Data Structure (BIDS): a standard for organizing and describing outputs of neuroimaging experiments |
| Organisation | University College London |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | We describe a simple and easy to adopt way of organizing neuroimaging and behavioral data. BIDS is heavily inspired by the format used internally by OpenfMRI.org. While working on BIDS we consulted many neuroscientists to make sure it covers most common experiments, but at the same time is intuitive and easy to adopt. The specification is intentionally based simple file formats and folder structures to reflect current lab practices and make it accessible to wide range of scientists coming from different backgrounds. Publications: see below |
| Collaborator Contribution | We describe a simple and easy to adopt way of organizing neuroimaging and behavioral data. BIDS is heavily inspired by the format used internally by OpenfMRI.org. While working on BIDS we consulted many neuroscientists to make sure it covers most common experiments, but at the same time is intuitive and easy to adopt. The specification is intentionally based simple file formats and folder structures to reflect current lab practices and make it accessible to wide range of scientists coming from different backgrounds. Publications: see below |
| Impact | Indexed abstract: DOI: 10.3389/conf.fnins.2015.91.00056 |
| Start Year | 2015 |
| Description | The Brain Imaging Data Structure (BIDS): a standard for organizing and describing outputs of neuroimaging experiments |
| Organisation | University of California, Berkeley |
| Department | Helen Wills Neuroscience Institute |
| Country | United States |
| Sector | Academic/University |
| PI Contribution | We describe a simple and easy to adopt way of organizing neuroimaging and behavioral data. BIDS is heavily inspired by the format used internally by OpenfMRI.org. While working on BIDS we consulted many neuroscientists to make sure it covers most common experiments, but at the same time is intuitive and easy to adopt. The specification is intentionally based simple file formats and folder structures to reflect current lab practices and make it accessible to wide range of scientists coming from different backgrounds. Publications: see below |
| Collaborator Contribution | We describe a simple and easy to adopt way of organizing neuroimaging and behavioral data. BIDS is heavily inspired by the format used internally by OpenfMRI.org. While working on BIDS we consulted many neuroscientists to make sure it covers most common experiments, but at the same time is intuitive and easy to adopt. The specification is intentionally based simple file formats and folder structures to reflect current lab practices and make it accessible to wide range of scientists coming from different backgrounds. Publications: see below |
| Impact | Indexed abstract: DOI: 10.3389/conf.fnins.2015.91.00056 |
| Start Year | 2015 |
| Description | The Brain Imaging Data Structure (BIDS): a standard for organizing and describing outputs of neuroimaging experiments |
| Organisation | University of California, Irvine |
| Department | Department of Psychiatry and Human Behavior |
| Country | United States |
| Sector | Academic/University |
| PI Contribution | We describe a simple and easy to adopt way of organizing neuroimaging and behavioral data. BIDS is heavily inspired by the format used internally by OpenfMRI.org. While working on BIDS we consulted many neuroscientists to make sure it covers most common experiments, but at the same time is intuitive and easy to adopt. The specification is intentionally based simple file formats and folder structures to reflect current lab practices and make it accessible to wide range of scientists coming from different backgrounds. Publications: see below |
| Collaborator Contribution | We describe a simple and easy to adopt way of organizing neuroimaging and behavioral data. BIDS is heavily inspired by the format used internally by OpenfMRI.org. While working on BIDS we consulted many neuroscientists to make sure it covers most common experiments, but at the same time is intuitive and easy to adopt. The specification is intentionally based simple file formats and folder structures to reflect current lab practices and make it accessible to wide range of scientists coming from different backgrounds. Publications: see below |
| Impact | Indexed abstract: DOI: 10.3389/conf.fnins.2015.91.00056 |
| Start Year | 2015 |
| Description | The Brain Imaging Data Structure (BIDS): a standard for organizing and describing outputs of neuroimaging experiments |
| Organisation | University of New Mexico |
| Country | United States |
| Sector | Academic/University |
| PI Contribution | We describe a simple and easy to adopt way of organizing neuroimaging and behavioral data. BIDS is heavily inspired by the format used internally by OpenfMRI.org. While working on BIDS we consulted many neuroscientists to make sure it covers most common experiments, but at the same time is intuitive and easy to adopt. The specification is intentionally based simple file formats and folder structures to reflect current lab practices and make it accessible to wide range of scientists coming from different backgrounds. Publications: see below |
| Collaborator Contribution | We describe a simple and easy to adopt way of organizing neuroimaging and behavioral data. BIDS is heavily inspired by the format used internally by OpenfMRI.org. While working on BIDS we consulted many neuroscientists to make sure it covers most common experiments, but at the same time is intuitive and easy to adopt. The specification is intentionally based simple file formats and folder structures to reflect current lab practices and make it accessible to wide range of scientists coming from different backgrounds. Publications: see below |
| Impact | Indexed abstract: DOI: 10.3389/conf.fnins.2015.91.00056 |
| Start Year | 2015 |
| Description | The Brain Imaging Data Structure (BIDS): a standard for organizing and describing outputs of neuroimaging experiments |
| Organisation | University of Oxford |
| Department | Oxford Centre for Functional MRI of the Brain (FMRIB) |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | We describe a simple and easy to adopt way of organizing neuroimaging and behavioral data. BIDS is heavily inspired by the format used internally by OpenfMRI.org. While working on BIDS we consulted many neuroscientists to make sure it covers most common experiments, but at the same time is intuitive and easy to adopt. The specification is intentionally based simple file formats and folder structures to reflect current lab practices and make it accessible to wide range of scientists coming from different backgrounds. Publications: see below |
| Collaborator Contribution | We describe a simple and easy to adopt way of organizing neuroimaging and behavioral data. BIDS is heavily inspired by the format used internally by OpenfMRI.org. While working on BIDS we consulted many neuroscientists to make sure it covers most common experiments, but at the same time is intuitive and easy to adopt. The specification is intentionally based simple file formats and folder structures to reflect current lab practices and make it accessible to wide range of scientists coming from different backgrounds. Publications: see below |
| Impact | Indexed abstract: DOI: 10.3389/conf.fnins.2015.91.00056 |
| Start Year | 2015 |
| Description | The Brain Imaging Data Structure (BIDS): a standard for organizing and describing outputs of neuroimaging experiments |
| Organisation | University of Warwick |
| Department | Department of Statistics |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | We describe a simple and easy to adopt way of organizing neuroimaging and behavioral data. BIDS is heavily inspired by the format used internally by OpenfMRI.org. While working on BIDS we consulted many neuroscientists to make sure it covers most common experiments, but at the same time is intuitive and easy to adopt. The specification is intentionally based simple file formats and folder structures to reflect current lab practices and make it accessible to wide range of scientists coming from different backgrounds. Publications: see below |
| Collaborator Contribution | We describe a simple and easy to adopt way of organizing neuroimaging and behavioral data. BIDS is heavily inspired by the format used internally by OpenfMRI.org. While working on BIDS we consulted many neuroscientists to make sure it covers most common experiments, but at the same time is intuitive and easy to adopt. The specification is intentionally based simple file formats and folder structures to reflect current lab practices and make it accessible to wide range of scientists coming from different backgrounds. Publications: see below |
| Impact | Indexed abstract: DOI: 10.3389/conf.fnins.2015.91.00056 |
| Start Year | 2015 |
| Description | The Brain Imaging Data Structure (BIDS): a standard for organizing and describing outputs of neuroimaging experiments |
| Organisation | University of Warwick |
| Department | Warwick Manufacturing Group |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | We describe a simple and easy to adopt way of organizing neuroimaging and behavioral data. BIDS is heavily inspired by the format used internally by OpenfMRI.org. While working on BIDS we consulted many neuroscientists to make sure it covers most common experiments, but at the same time is intuitive and easy to adopt. The specification is intentionally based simple file formats and folder structures to reflect current lab practices and make it accessible to wide range of scientists coming from different backgrounds. Publications: see below |
| Collaborator Contribution | We describe a simple and easy to adopt way of organizing neuroimaging and behavioral data. BIDS is heavily inspired by the format used internally by OpenfMRI.org. While working on BIDS we consulted many neuroscientists to make sure it covers most common experiments, but at the same time is intuitive and easy to adopt. The specification is intentionally based simple file formats and folder structures to reflect current lab practices and make it accessible to wide range of scientists coming from different backgrounds. Publications: see below |
| Impact | Indexed abstract: DOI: 10.3389/conf.fnins.2015.91.00056 |
| Start Year | 2015 |
| Description | The Brain Imaging Data Structure (BIDS): a standard for organizing and describing outputs of neuroimaging experiments |
| Organisation | University of Washington |
| Department | eScience Institute |
| Country | United States |
| Sector | Academic/University |
| PI Contribution | We describe a simple and easy to adopt way of organizing neuroimaging and behavioral data. BIDS is heavily inspired by the format used internally by OpenfMRI.org. While working on BIDS we consulted many neuroscientists to make sure it covers most common experiments, but at the same time is intuitive and easy to adopt. The specification is intentionally based simple file formats and folder structures to reflect current lab practices and make it accessible to wide range of scientists coming from different backgrounds. Publications: see below |
| Collaborator Contribution | We describe a simple and easy to adopt way of organizing neuroimaging and behavioral data. BIDS is heavily inspired by the format used internally by OpenfMRI.org. While working on BIDS we consulted many neuroscientists to make sure it covers most common experiments, but at the same time is intuitive and easy to adopt. The specification is intentionally based simple file formats and folder structures to reflect current lab practices and make it accessible to wide range of scientists coming from different backgrounds. Publications: see below |
| Impact | Indexed abstract: DOI: 10.3389/conf.fnins.2015.91.00056 |
| Start Year | 2015 |
| Description | The EEG/MEG Inverse Problem |
| Organisation | University of Cambridge |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | We EEG/MEG data for methodological proof-of-concept studies available, and provided practical advice on data analysis. We contributed to manuscript preparation for papers, proceedings etc. |
| Collaborator Contribution | Professors Thanasis Fokas (Cambridge) and Volker Michel (Siegen) provided the mathematical tools, post-doc Dr. Parham Hashemzadeh (Cambridge) and PhD student Sarah Ozlowski (Siegen) are currently working on their implementation. |
| Impact | Paper in Inverse Problems (2009): http://iopscience.iop.org/0266-5611/28/3/035009/pdf/ip12_3_035009.pdf Conference Proceedings (2014): http://lib.amcl.tuc.gr/handle/triton/44 |
| Start Year | 2009 |
| Description | The EEG/MEG Inverse Problem |
| Organisation | University of Siegen |
| Country | Germany |
| Sector | Academic/University |
| PI Contribution | We EEG/MEG data for methodological proof-of-concept studies available, and provided practical advice on data analysis. We contributed to manuscript preparation for papers, proceedings etc. |
| Collaborator Contribution | Professors Thanasis Fokas (Cambridge) and Volker Michel (Siegen) provided the mathematical tools, post-doc Dr. Parham Hashemzadeh (Cambridge) and PhD student Sarah Ozlowski (Siegen) are currently working on their implementation. |
| Impact | Paper in Inverse Problems (2009): http://iopscience.iop.org/0266-5611/28/3/035009/pdf/ip12_3_035009.pdf Conference Proceedings (2014): http://lib.amcl.tuc.gr/handle/triton/44 |
| Start Year | 2009 |
| Title | Method for determination of metrics and fibers in Diffusion Kurtosis Imaging |
| Description | Development of a novel algorithm to extract scalar metrics and fibre orientation distributions from Diffusion Kurtosis data. The patent submission has yet to be approved. |
| IP Reference | |
| Protection | Copyrighted (e.g. software) |
| Year Protection Granted | |
| Licensed | No |
| Impact | A publication is currently under review with Neuroimage. A toolbox making the algorithm available to the wider DKI community is in preparation. |
| Title | Single shot partial dual echo (SPADE) EPI |
| Description | An efficient acquisition scheme for whole brain fMRI PATENT APPLICATION CEASED 2009 |
| IP Reference | GB0807027.8 |
| Protection | Patent application published |
| Year Protection Granted | 2008 |
| Licensed | Yes |
| Impact | This has allowed imaging studies to be performed with reduced inhomogeneity artifacts in the areas that are normally affected conbined with high signal-to-noise ratio in other parts of the brain. |
| Description | 15 minute platform presentation at the 15th NR-SIG-WFNR Conference in Prague in July 2018 |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | C-authored abstract (Dhamapurkar Samira, Barbara Wilson, Anita Rose, Gerhard Florschutz, Peter Watson and Agnes Shiel) entitled 'Does a regular Wessex Head Injury Matrix assessment identify early signs of infections in people with prolonged disorders of consciousness?' was accepted as a 15 minute platform presentation. |
| Year(s) Of Engagement Activity | 2018 |
| URL | http://mers.vpweb.com.au/NR-SIG-WFNR.html |
| Description | 19th Annual Meeting of the Organization for Human Brain Mapping, 2013, Seattle, USA |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | Yes |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Talk: Auer T, Schweizer R, Frahm J. The role of the anterior midcingulate cortex in neurofeedback training Posters: Schweizer R, Auer T, Frahm J. White matter changes associated with a fMRI neurofeedback training Dewiputri WI, Schweizer R, Auer T, Frahm J. Uncoupling task and feedback processing during cognitive fMRI neurofeedback training Broadcast work to a larger audience which has helped inform future direction in research |
| Year(s) Of Engagement Activity | 2013 |
| Description | 20th Annual Meeting of the Organization for Human Brain Mapping, 2014, Hamburg, Germany |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | Yes |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Posters: Auer T, Schweizer R, Frahm J. The influence of cognitive components in a fMRI neurofeedback training targeting the motor system Auer T, Vicente-Grabovetsky A, Mitchell DJ, Wild C, Linke AC, Peelle JE, Cusack R. Automatic analysis (aa) pipelines: new features for large, multimodal datasets Dewiputri WI, Schweizer R, Auer T, Frahm J. Uncoupling task and feedback-processing is promising in fMRI neurofeedback of a cognitive brain area Hauk O, Auer T, Pulvermüller F. Task modulation of LIFG activation in written nonword but not word processing Broadcast work to a larger audience which has helped inform future direction in research |
| Year(s) Of Engagement Activity | 2014 |
| Description | A talk to be given at the 15th WFNR Neuropsychological Rehab SIG conference in Prague in July 2018 |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | A talk was given based upon the paper: H Ring, F. Gracey, P. Watson and I. Clare Transcutaneous Vagal Nerve Stimulation (tVNS) for episodic aggression in acquired or developmental neurodisability: Preliminary findings from a feasibility and single case experimental design pilot study, |
| Year(s) Of Engagement Activity | 2018 |
| URL | http://mers.vpweb.com.au/NR-SIG-WFNR-Conf.html |
| Description | Action Editor for Language, Cognition and Neuroscience, Olaf Hauk |
| Form Of Engagement Activity | A magazine, newsletter or online publication |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | I am on the Editorial Board of the peer-reviewed journal Language, Cognition and Neuroscience: http://www.tandfonline.com/action/journalInformation?show=editorialBoard&journalCode=plcp21#.VtCISuaN07E In this function, I edit and review manuscripts, organise special issues and write commentaries. |
| Year(s) Of Engagement Activity | 2013,2014,2015,2016,2017,2018,2019,2020 |
| URL | http://www.tandfonline.com/action/journalInformation?show=editorialBoard&journalCode=plcp21#.VtCISua... |
| Description | Automatic analysis (aa): efficient and transparent multimodal neuroimaging workflows |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The annual INCF Congress provides a meeting place for researchers in the emerging field of neuroinformatics. Particpiants represent all fields related to neuroinformatics, including data- and knowledge-bases of the nervous system from molecular to behavioral levels; tools for the acquisition, analysis, and visualization of nervous system data; and theoretical, computational, and simulation environments for modeling the brain. This meeting is especially useful for anyone who is developing neuroscience tools and methods; working on better ways to handle neuroscience data; or looking for cross-disciplinary collaborations. |
| Year(s) Of Engagement Activity | 2016 |
| URL | http://neuroinformatics2016.org/ |
| Description | Cambridge Methods Day |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | Regional |
| Primary Audience | Other audiences |
| Results and Impact | Cambridge Methods Day provides a day of lectures from scientists around Cambridge on methods development activities in cognitive neuroscience. It was intended to inspire novel lines of research, particularly for PhD students and post-docs, and to create new collaborations. |
| Year(s) Of Engagement Activity | 2016,2017,2018 |
| URL | http://imaging.mrc-cbu.cam.ac.uk/methods/MethodsDaySchedule |
| Description | Co-author (Peter Watson) on poster entitled 'Measuring autistic traits in the general population: a systematic review of the Autism-Spectrum Quotient (AQ) in a nonclinical population sample of 6900 typical adult males and females' given at IMFAR 2015. |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Type Of Presentation | poster presentation |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | My activity resulting in co-authorship on this poster (Ruzich, E., Allison, C., Smith, P., Watson, P., Auyeung, B., Ring, H. and Baron-Cohen, S.) was providing advice on weightings of means for the meta-analysis. The poster was then presented by Emily Ruzich (first author) at the 2015 IMFAR (International Meeting for Autism Research) in Salt Lake City in May 2015. Increases interest in autism research by the psychiatry groups at Cambridge University including the Intellectual and Developmental Disabilities Research Group and Autism Research Centre, both at the Department of Psychiatry, University of Cambridge. |
| Year(s) Of Engagement Activity | 2015 |
| URL | http://www.autism-insar.org/imfar-annual-meeting/imfar-2015 |
| Description | Co-author of Poster THE EFFECT OF AMBIENT SOUNDS ON DECISION MAKING IN AUTISM |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Professional Practitioners |
| Results and Impact | A poster entitled "The Effect of ambient sounds on decision making in autism" by Bellamy R., Ring, H., Watson, P., Munn, G. and Clare, I. was presented at a psychiatry conference in Surrey in the week of Monday 17th June 2019. This is based upon work in Rachel Bellamy's MPhil due to be submitted in October 2019 which myself and others have advised on. |
| Year(s) Of Engagement Activity | 2019 |
| Description | Educational Talk at MEG-UK 2014 by Olaf Hauk |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Other academic audiences (collaborators, peers etc.) |
| Results and Impact | Informed beginners of EEG/MEG analysis about EEG/MEG analysis. The talk sparked questions and discussions. |
| Year(s) Of Engagement Activity | 2014 |
| URL | http://www.nottingham.ac.uk/conference/fac-sci/physics/meg-uk-conference/index.aspx |
| Description | External PhD viva examiner at University of Jyväskylä (Finland) |
| Form Of Engagement Activity | A formal working group, expert panel or dialogue |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | External PhD viva examiner at University of Jyväskylä (Finland), 12 October 2019. |
| Year(s) Of Engagement Activity | 2019 |
| Description | Featured in BBC Ideas online documentary |
| Form Of Engagement Activity | A broadcast e.g. TV/radio/film/podcast (other than news/press) |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Public/other audiences |
| Results and Impact | Olaf Hauk and Grace Rice featured in a BBC Ideas online documentary "How stories shape our minds", produce by Angel Sharp Media in collaboration with The Open University. |
| Year(s) Of Engagement Activity | 2019 |
| URL | https://www.bbc.co.uk/ideas/videos/how-stories-shape-our-minds/p07h9t70 |
| Description | How cognitive science research on imagery can help women traumatised by an emergency cesarean section. |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Professional Practitioners |
| Results and Impact | Poster given on 24th April 2017 at the Royal Society meeting in London (Of mice and mental health: facilitating dialogue between basic and clinical neuroscientists, 24th -25th April 2017). |
| Year(s) Of Engagement Activity | 2017 |
| URL | https://royalsociety.org/science-events-and-lectures/2017/04/mental-health/ |
| Description | I organised a symposium "Neuroscientific investigations of natural language processing" at the Annual Meeting of the British Association for Cognitive Neuroscience. |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Symposium on a timely topic with world-leading experts on the topic. |
| Year(s) Of Engagement Activity | 2018 |
| URL | http://www.bacn.co.uk/meetings_210_293806390.pdf |
| Description | Introduction to Neuroimaging Methods Workshops |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | Regional |
| Primary Audience | Postgraduate students |
| Results and Impact | The workshop series "Introduction to Neuroimaging Methods" at the Cognition and Brain Sciences Unit provides junior researchers with novel research methods, a better understanding of neuroimaging analysis methods, and transferrable skills. We collect regular feedback, which has been highly positive. |
| Year(s) Of Engagement Activity | 2015,2016,2017,2018 |
| URL | http://imaging.mrc-cbu.cam.ac.uk/methods/IntroductionNeuroimagingLectures |
| Description | Introduction to Scientific Computing and Matlab workshop series |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | Regional |
| Primary Audience | Postgraduate students |
| Results and Impact | The workshop series "Introduction to Scientific Computing and Matlab" (http://imaging.mrc-cbu.cam.ac.uk/methods/MatlabLecturesSchedule) provides junior researchers with fundamentals of Matlab programming and scientific computing (e.g. Linux). It helps junior researchers to quickly develop the necessary skills for neuroimaging data analysis. |
| Year(s) Of Engagement Activity | 2012,2013,2014,2015,2016,2017,2018 |
| URL | http://imaging.mrc-cbu.cam.ac.uk/methods/MatlabLecturesSchedule |
| Description | Introduction to Signal Analysis in Matlab workshop series |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | Local |
| Primary Audience | Postgraduate students |
| Results and Impact | The workshop series "Introduction to Signal Analysis in Matlab" at the Cognition and Brain Sciences Unit (http://imaging.mrc-cbu.cam.ac.uk/methods/SignalAnalysisMatlabSchedule) teaches the fundamentals of signal analysis relevant for neuroimaging using the Matlab programming language. It provides junior researchers with novel data analysis methods and will make them more efficient. |
| Year(s) Of Engagement Activity | 2015,2016,2017,2018 |
| URL | http://imaging.mrc-cbu.cam.ac.uk/methods/SignalAnalysisMatlabSchedule |
| Description | Invited Talk at Best practice in EEG and TMS Research workshop, University of Canterbury, by Olaf Hauk |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Other academic audiences (collaborators, peers etc.) |
| Results and Impact | The talk sparked questions and discussions. |
| Year(s) Of Engagement Activity | 2014 |
| URL | http://www.kent.ac.uk/psychology/research/cognitive/eeg-tms-workshop.html |
| Description | Invited lecture at Royal Holloway |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | Regional |
| Primary Audience | Undergraduate students |
| Results and Impact | I gave a lecture on MRI Physics to undergraduate and postgraduate students from Royal Holloway, University of London. This was part of the module 'Methods in Cognitive Neuroscience' aimed at 3rd year undergraduates. |
| Year(s) Of Engagement Activity | 2018 |
| Description | Invited talk "Deep learning in cognitive computational neuroscience - a gentle introduction" |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | Regional |
| Primary Audience | Professional Practitioners |
| Results and Impact | Deep learning in cognitive computational neuroscience - a gentle introduction, University of Cambridge, Cambridge, UK |
| Year(s) Of Engagement Activity | 2018 |
| Description | Invited talk "Dynamic brain networks of semantics" |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Invited talk "Dynamic brain networks of semantics" at the University G. d'Annunzio Chieti-Pescara, Neuroscience and Imaging Department, on 6 March 2019. |
| Year(s) Of Engagement Activity | 2019 |
| Description | Invited talk "From pixels to semantics - machine learning as a key to understanding the dynamic computations along the human ventral stream" |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | Regional |
| Primary Audience | Professional Practitioners |
| Results and Impact | From pixels to semantics - machine learning as a key to understanding the dynamic computations along the human ventral stream, Chaucer Club, University of Cambridge, Cambridge, UK |
| Year(s) Of Engagement Activity | 2018 |
| Description | Invited talk "Investigating time-varying representational trajectories using MEG representational dynamics analysis" |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Investigating time-varying representational trajectories using MEG representational dynamics analysis, 2nd Cambridge Representational Similarity Analysis and Advanced Computational Methods Workshop (RSA2018), Cambridge, UK |
| Year(s) Of Engagement Activity | 2018 |
| Description | Invited talk "Recurrence required to capture the dynamic computations of the human ventral visual stream" |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Recurrence required to capture the dynamic computations of the human ventral visual stream, National Institute of Mental Health - NIH, Bethesda, USA |
| Year(s) Of Engagement Activity | 2018 |
| Description | Invited talk "Representational dynamics in the human ventral stream captured in recurrent DNNs" |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Representational dynamics in the human ventral stream captured in recurrent DNNs, Bernstein Conference 2018, Representational Dynamics Workshop, Berlin, Germany |
| Year(s) Of Engagement Activity | 2018 |
| Description | Invited talk at BACN conference, York, October 2014, by Olaf Hauk |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Other academic audiences (collaborators, peers etc.) |
| Results and Impact | Sparked discussion after the talk. |
| Year(s) Of Engagement Activity | 2014 |
| URL | http://www.bacn.co.uk/2014_conference.html |
| Description | Invited talk at Matlab Workshop for Neuroimagers, University of Birmingham |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Undergraduate students |
| Results and Impact | I introduced and demonstrated Automatic Analysis (aa) for analysing neuroimaging data using MATLAB. |
| Year(s) Of Engagement Activity | 2014 |
| Description | Invited talk at University of Chieti-Pescara (Italy) |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Invited talk "Dynamic Brain Networks of Semantics Studied Using EEG/MEG" at d'Annunzio University Chieti-Pescara, 5 March 2019. |
| Year(s) Of Engagement Activity | 2019 |
| Description | Invited talk at University of Chieti-Pescara (Italy) |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Invited talk "Towards An Objective Evaluation of EEG/MEG Source Estimation Methods" at d'Annunzio University Pescara-Chieti, 24 January 2020. |
| Year(s) Of Engagement Activity | 2019 |
| Description | Invited talk at University of Jyväskylä (Finland) |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Invited talk "Dynamic Brain Networks of Semantics Studied Using EEG/MEG" at University of Jyväskylä, Finland, 11 October 2019. |
| Year(s) Of Engagement Activity | 2019 |
| URL | https://cibr.jyu.fi/en/events/201cdynamic-brain-networks-of-semantics-studied-using-eeg-meg201d-by-p... |
| Description | Invited talk at the opening ceremony of a primary school laboratory for natural sciences |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | Regional |
| Primary Audience | Schools |
| Results and Impact | Over 100 (primary school pupils, teachers) attended my talk about my reasearch field and results. |
| Year(s) Of Engagement Activity | 2014 |
| Description | Invited talk: Benedictine Free University by Tibor Auer |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | Yes |
| Geographic Reach | Local |
| Primary Audience | Schools |
| Results and Impact | Over 200 (high school pupils, teachers, townsfolk) attended my talk about my reasearch field and results. The talk stimulated discussions with teachers and questions from student about career path, required studies,. |
| Year(s) Of Engagement Activity | 2014 |
| URL | http://www.czuczor.hu/esemenyek/ablak-az-agyra |
| Description | Journal referee for BMJ Open, BMC Neurology, JIDR, BMC Geriatrics and Journal of Affective Disorders 2009-PRESENT |
| Form Of Engagement Activity | A formal working group, expert panel or dialogue |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Refereeing statistical methods sections of papers |
| Year(s) Of Engagement Activity | 2009,2010,2011,2012,2013,2014,2015,2016,2017,2018,2019,2020 |
| Description | Journal refereeing by Peter Watson |
| Form Of Engagement Activity | A magazine, newsletter or online publication |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | I have been an on-going statistical referee for submissions to BMJ Open but also Journal of Intellectual Disability Research and Behavior Research Methods since 2007. In 2015 I also provided a job reference and reviewed a Routledge book. Improved use and description of statistical methods in psychological and medical research. |
| Year(s) Of Engagement Activity | 2007,2008,2009,2010,2011,2012,2013,2014,2015,2016 |
| Description | Journal refereeing by Tibor Auer |
| Form Of Engagement Activity | A magazine, newsletter or online publication |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | I have been a scientific referee for submissions to European Radiology since 2010 Journal of Neuroscience Methods in 2013 and 2014 NeuroImage in 2014 Brain and Language in 2014 PlosOne since 2014 Circulation in 2015 European Journal of Neuroscience in 2015 Improved scienitif practice (espacially methods-realted) in psychological and medical research. |
| Year(s) Of Engagement Activity | 2010,2011,2012,2013,2015 |
| Description | Journal special issue "The neuroscience of natural language processing" |
| Form Of Engagement Activity | A magazine, newsletter or online publication |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Action editor for special issue "The neuroscience of natural language processing" for journal Language, Cognition and Neuroscience, with over 20 articles. |
| Year(s) Of Engagement Activity | 2019,2020 |
| Description | MAPLES STEERING COMMITTEE MEMBER (PETER WATSON) |
| Form Of Engagement Activity | A formal working group, expert panel or dialogue |
| Part Of Official Scheme? | No |
| Geographic Reach | Local |
| Primary Audience | Patients, carers and/or patient groups |
| Results and Impact | QUARTERLY MEETING OF CBU STAFF, NHS RECRUITERS AND PATIENT REPRESENTATIVE TO PLAN AND REVIEW RECRUITMENT FOR STUDY EXAMINING THE EFFECT OF LOW MOOD IN ACQUIRED BRIAN INJURY; PW RESPONSIBLE FOR RANDOMISATION, POWER ANALYSIS AND OTHER STATISTICAL ASPECTS |
| Year(s) Of Engagement Activity | 2019,2020 |
| Description | MEG-UK poster "A Survey On Methods Skills In Cognitive Neuroscience" |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Professional Practitioners |
| Results and Impact | Poster on a survey on methods skill in cognitive neuroscience that will shape the way we and others will provide neuroimaging methods training in the future. |
| Year(s) Of Engagement Activity | 2017 |
| Description | MEMBER (PETER WATSON) OF ARUK CLINICAL TRIALS ADVISORY PANEL (CTAP) FROM 2015-PRESENT |
| Form Of Engagement Activity | A formal working group, expert panel or dialogue |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | PROVIDE STATISTICAL REFEREEING TO GRANT APPLICATIONS REQUESTING FUNDING FROM ALZHIEMER'S UK. SIX MONTHLY MEETINGS IN LONDON AND/OR CAMBRIDGE. |
| Year(s) Of Engagement Activity | 2015,2016,2017,2018,2019,2020 |
| URL | https://www.alzheimersresearchuk.org/for-researchers/how-we-deliver-research/the-grants-review-proce... |
| Description | MSc Neuroimaging Workshop for the Department of Neuroimaging, King's College London Institute of Psychiatry |
| Form Of Engagement Activity | A formal working group, expert panel or dialogue |
| Part Of Official Scheme? | No |
| Geographic Reach | Regional |
| Primary Audience | Undergraduate students |
| Results and Impact | EEG/MEG training workshop for neuroimaging master's students of King's College London. Students asked questions and discussed ideas after the lectures and lab tour. We received very positive feedback after each event, and they always ask to do it again next year. For several years they have asked us to do it again. |
| Year(s) Of Engagement Activity | 2012,2013,2014,2015,2016,2017 |
| Description | Member of Alzheimer's Research UK Clinical Trials Advisory Panel (ARUK (CTAP) |
| Form Of Engagement Activity | A formal working group, expert panel or dialogue |
| Part Of Official Scheme? | Yes |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Funding for new areas involving Alzheimer's Research. Dissemination of results and improved quality of life for Alzheimer's sufferers and their carers. |
| Year(s) Of Engagement Activity | 2015,2016,2017,2018 |
| Description | Newspaper Interview of Tibor Auer |
| Form Of Engagement Activity | A press release, press conference or response to a media enquiry/interview |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Media (as a channel to the public) |
| Results and Impact | Tibor Auer gave an interview to a regional magazine about my career path and the field I am working on. It sparked further enquiries for talks to primary and high school students. |
| Year(s) Of Engagement Activity | 2014 |
| URL | https://www.facebook.com/media/set/?set=a.554413778038826.1073741845.495951857218352&type=1 |
| Description | ONE-DAY SPSS BEGINNERS COURSE IN CAMBRIDGE ON 8TH APRIL 2020: ORGANISER AND CO-TUTOR |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Public/other audiences |
| Results and Impact | THIS ONE-DAY HANDS-ON COURSE INTRODUCES IBM SPSS TO DELEGATES WITH LITTLE OR NO COMPUTATIONAL EXPERIENCE THE CONFIDENCE AND SKILLS TO BE ABLE TO USE THE SOFTWARE FROM SCRATCH TO BEST UTILISE INFORMATION OBTAINED FROM SURVEYS ON CRIME AREAS, TYPES OF CRIME AND TYPES OF PEOPLE INVOLVED IN CRIME TO BETTER INFORM ABOUT PATTERNS AND LOCATIONS OF BEHAVIOURS TO ULTIMATELY ENABLE THE SETTING OF GOALS AND STRATEGIES ON A LOCAL AND NATIONAL LEVEL. THIS KNOWLEDGE IS OF WIDE APPLICABILITY INCLUDING TO RESEARCH STUDIES AT CBSU. |
| Year(s) Of Engagement Activity | 2020 |
| URL | http://www.spssusers.co.uk/Events/2020/workshopannounce.html |
| Description | ORGANISER OF ANNUAL SPSS USERS GROUP (ASSESS) MEETING COURSES AND TALKS 2001-PRESENT |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Professional Practitioners |
| Results and Impact | A DAY OF THREE COURSES ( MISSING DATA, SPSS SYNTAX, MULTILEVEL MODELS) AND ASSOCIATED TALKS USING SPSS TO FACILITATE UNDERSTANDING OF STATISTICAL METHODS |
| Year(s) Of Engagement Activity | Pre-2006,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017,2018,2019,2020 |
| URL | http://www.spssusers.co.uk/ |
| Description | Oral presentation at 15th biannual congress of the Swiss Psychological Society (Peter Watson is a co-author) |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Co-author presented results from our 2017 paper in a presentation entitled "Development of an early intervention to prevent postnatal posttraumatic stress symptoms" which was accepted for oral presentation at the 15th biannual congress of the Swiss Psychological Society, September 4 and 5, 2017 in Lausanne. |
| Year(s) Of Engagement Activity | 2017 |
| URL | https://www.ssp-sgp2017.ch/cms/home |
| Description | Oral presentation at conference (Peter Watson is a co-author) |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The talk is entitled 'Consequences of posttraumatic stress disorder after childbirth and treatment developments' and was accepted for the Society of Reproductive and Infant Psychology conference in York in September 2017 (Peter Watson is a listed co-author). |
| Year(s) Of Engagement Activity | 2006,2017 |
| URL | http://www.srip.ac.uk/conference.php |
| Description | Organiser and co-tutor of one day course in SPSS for Complete Beginners on Wednesday 24th April 2019 |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Professional Practitioners |
| Results and Impact | The course aims to introduce delegates to data management (e.g. data input, missing value checks), basic statistical procedures (e.g. descriptives, correlations and t-tests) finishing off with the use of population weightings when using chi-square tests. The course takes place on the Stratford campus at the University of East London. |
| Year(s) Of Engagement Activity | 2019 |
| URL | http://www.spssusers.co.uk/ |
| Description | Organiser of Cambridge Statistics Discussion Group 1996-PRESENT |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | Local |
| Primary Audience | Professional Practitioners |
| Results and Impact | 12-40 PEOPLE ATTEND SIX STATISTICS TALKS (SOMETIMES MORE) PER ACADEMIC YEAR IN THE CAMBRIDGE AREA. |
| Year(s) Of Engagement Activity | Pre-2006,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017,2018,2019,2020 |
| URL | http://www.mrc-cbu.cam.ac.uk/people/peter.watson/csdg/ |
| Description | Organiser of Cambridge Statistics Discussion Group talks |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | Regional |
| Primary Audience | Professional Practitioners |
| Results and Impact | The six talks on various (mainly medical) aspects of applications of statistical methods are held in each academic year in Cambridge and spark discussions and questions. Talk slides are placed on-line with audio .mp3 files, where appropriate, of the talk and discussion. Contacts are made between practitioners and people interested in their work. |
| Year(s) Of Engagement Activity | Pre-2006,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017,2018,2019 |
| URL | http://www.mrc-cbu.cam.ac.uk/people/peter.watson/csdg |
| Description | Organiser of SPSS Users conference |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Type Of Presentation | workshop facilitator |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Talks and courses on statistical methods and syntax prompting questions and discussion. As a result of previous workshops this produced contacts who were able to come and present a one-day R course at CBSU. People also use the methods they have learnt to improve the efficiency of programs they use in their own work e.g. by using macros. |
| Year(s) Of Engagement Activity | Pre-2006,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017,2018,2019 |
| URL | http://www.spssusers.co.uk/ |
| Description | Participation in an activity, workshop or similar - Organiser and co-tutor of one day course in SPSS for Complete Beginners on Thursday 27th June 2019 |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Professional Practitioners |
| Results and Impact | One day course for complete beginners to SPSS held at the University of Edinburgh by myself as chair of SPSS Users Group (ASSESS) |
| Year(s) Of Engagement Activity | 2019 |
| URL | http://www.spssusers.co.uk/Events/2019/index.html |
| Description | Peter Watson co-authored poster presentation at conference May 2016 |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | A co-authored poster entitled 'A Simple Cognitive-Task Intervention to Reduce Intrusive Memories after a Traumatic Event: Feasibility and Patient Experience from a Randomised Controlled Trial in an Emergency Department' was accepted for presentation at the Association for Psychological Science convention on 26th-29th May 2016. |
| Year(s) Of Engagement Activity | 2016 |
| URL | http://www.psychologicalscience.org/index.php/convention/archive |
| Description | Poster co-author on 'Comparing MEG with MRI for Early Detection of Alzheimer's Disease' at HBM 2015 conference in Hawaii. |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Computed and gave advice on computation of error rates for the poster entitled Comparing MEG with MRI for Early Detection of Alzheimer's Disease by Blanco, C., Greve, A., Brindley, L., Cooper, E., Taylor, J., Olichney, J., Watson, P. , Nestor, P., Henson, R. at the Human Brain Mapping 2015 conference. The first author, Cristina Blanco-Duque, presented the poster at the 2015 conference in June 2015. Further collaborations, planning of future research and networking. |
| Year(s) Of Engagement Activity | 2015 |
| URL | http://ohbm.loni.usc.edu/wp-content/uploads/2015/04/Posters-for-web.pdf |
| Description | Poster given at Royal Society meeting in London (Peter Watson is a co-author) |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | (with A. Horsch, Y. Vial, C. Favrod, M. M. Harari, S. E. Blackwell, L. Iyadurai, M. B. Bonsall and E. A. Holmes) How cognitive science research on imagery can help women traumatised by an emergency caesarean section. Poster given on 24th April 2017 at the Royal Society meeting in London (Of mice and mental health: facilitating dialogue between basic and clinical neuroscientists, 24th -25th April 2017). |
| Year(s) Of Engagement Activity | 2017 |
| URL | https://royalsociety.org/science-events-and-lectures/2017/04/mental-health/ |
| Description | Poster on Vagus Nerve Stimulation at transdiagnostic conference at CBSU on 17-18th September 2018 |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Professional Practitioners |
| Results and Impact | Poster (with F. Gracey, H. Ring and I. Clare) on the VNS work entitled 'Transcutaneous Vagal Nerve Stimulation (tVNS) for episodic aggression in people with neurodevelopmental conditions or acquired brain injury' accepted for the conference on Transdiagnostic Approaches to Mental Health at the CBSU on 17-18 September 2018. |
| Year(s) Of Engagement Activity | 2018 |
| URL | http://www.mrc-cbu.cam.ac.uk/seminar-information/transdx2018/ |
| Description | Poster presentation |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Professional Practitioners |
| Results and Impact | Carroll, C., Clare, I.C.H., Watson, P., Spoudeas, H.A., Walker, D., Hawkins, M.M., Holland, A.J. & Ring, H.A. (2013). IQ Correlates of early childhood Posterior Fossa Tumours. Poster & Oral presentation at British Neuropsychiatry Association AGM, London. Co-author on the poster given by Cliodhna in 2013. Broadcast work to a larger audience which has helped inform future direction in research |
| Year(s) Of Engagement Activity | 2013 |
| Description | Poster presentation at Cambridge Networks Day 2019 (Cambridge, UK) |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Poster presentation and "blitz talk" "Analysing linear multivariate pattern transformations in neuroimaging data" at Cambridge Networks Day 2019, 29 August 2019, Cambridge (UK). |
| Year(s) Of Engagement Activity | 2019 |
| URL | https://www.cnn.group.cam.ac.uk/cambridge-networks-day/cnday2019program |
| Description | Poster presentation at Human Brain Mapping conference (Rome, Italy) |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Poster presentation "No modulation of Auditory Steady State and Visual Gamma Band Responses by Semantics in EEG/MEG" by Hauk, Keemink, Farahibozorg, Perry, Chenny at Human Brain Mapping conference, Rome (Italy), 9-13.6.2019. |
| Year(s) Of Engagement Activity | 2019 |
| URL | https://ww5.aievolution.com/hbm1901/index.cfm?do=abs.viewAbs&abs=2862 |
| Description | Poster presentation of co-authored paper (Peter Watson) in June 2016 |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | David Walker to present an abstract at the 17th International Symposium on Pediatric Neuro-Oncology (ISPNO 2016) being held in Liverpool between 12-15th June 2016 on 'Long-term cognitive outcome in adult survivors of an early childhood posterior fossa brain tumour' co-authored by Carroll, C., Wagner, A., Watson, P., Spoudeas, H., Hawkins, M., Walker D., (Presenting), Clare, I., Holland, T. and Ring, H. |
| Year(s) Of Engagement Activity | 2016 |
| URL | http://www.ispno2016.com |
| Description | Posters at Neurobiology of Language Conference, London |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Two posters as first author, one senior-authored (by PhD student Rezvan Farahibozorg), one co-authored (Lucy McGregor). |
| Year(s) Of Engagement Activity | 2016 |
| Description | Presentation at British Association for Behavioural and Cognitive Psychotherapies 2017 conference (Peter Watson is a co-author) |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | The presentation entitled 'Development of an early intervention to prevent posttraumatic stress symptoms after traumatic childbirth' was based upon the paper which Peter Watson co-authored. This talk was presented at the 2017 British Association for Behavioural and Cognitive Psychotherapies (BABCP) conference in Manchester on 25th-28th July during a symposium on "Trauma and intrusive memories: emerging approaches to prevention and early intervention". |
| Year(s) Of Engagement Activity | 2017 |
| URL | http://www.babcp.com/Training/Conferences.aspx |
| Description | Quantum Technology Workshop for Health Applications - MEG |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Policymakers/politicians |
| Results and Impact | I was invited to attend a one-day workshop "Quantum Technology Workshop for Health Applications - MEG" organised by the Knowledge Transfer Network as part of the Blackett Review for Quantum Technologies, Nottingham,1.9.2016. We discussed the impact of new MEG hardware (high-temperature sensors) on future applications of MEG methodology, e.g. for medial diagnosis, and its economic implications (e.g. future market for MEG systems). |
| Year(s) Of Engagement Activity | 2016 |
| URL | https://connect.innovateuk.org/web/quantum-technology/events-view/-/events/33304741?_8_redirect=http... |
| Description | Royal Society Summer Science Festival |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Public/other audiences |
| Results and Impact | Many people watched our video 'Surfing the Brain Superhighways': www.youtube.com/watch?v=tNB0sM7JJqg and talked to the student who created it. New collaborations with other research laboratorie |
| Year(s) Of Engagement Activity | 2010 |
| Description | SPSS COURSE IN YORK given by Peter Watson |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Teaching and sharing computer programming using SPSS in the form of macros to run commonly used syntax more efficiently and understandably. One of the attenders said she would be using the macros that she had learnt about to run syntax files in her place of work (University of Central Lancashire). |
| Year(s) Of Engagement Activity | 2015 |
| URL | http://www.spssusers.co.uk/Events/2015/confprog.html |
| Description | SPSS Courses organiser (excluding annual conference), Peter Watson |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Type Of Presentation | workshop facilitator |
| Geographic Reach | National |
| Primary Audience | Professional Practitioners |
| Results and Impact | Over 50 mainly University but also staff from outside academia such as, for example, IPSOS-MORI and Yorkshire Water attend a series of courses at various venues in addition to the annual York one-day conference. These courses I organise in my role as chair of the SPSS users group (ASSESS). These one day courses use SPSS. I gave a SPSS macros one day course from 2006-2010 at UK universities (and revived this for the York conference in 2015). Increases understanding and better use of statistical methods and understanding of using SPSS and R statistical software. I was invited to and wrote a book chapter as a result of a contact I made through the group and got an acknowledgement in a paper 2011 by Len Usvyat and collagues at the Renal Rsearch Institute in New York for a talk I gave in my pre-organising days. We obtain valuable learning materials for helping staff and students at the unit from speakers at these meetings. |
| Year(s) Of Engagement Activity | 2006,2007,2008,2009,2010,2016 |
| URL | http://www.spssusers.co.uk/ |
| Description | SPSS Exploratory Data Analysis Course in 2016 organised by Peter Watson |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Professional Practitioners |
| Results and Impact | I organised a one-day course given by Andy Field of University of Sussex using SPSS to facilitate understanding of the testing, evaluation and handling of distributional assumptions connected with analysis of groups using means and variances by means of sets of techniques which comprise exploratory data analysis. |
| Year(s) Of Engagement Activity | 2016 |
| URL | http://www.spssusers.co.uk/Events/2016/workshopannounce.html |
| Description | SPSS one day course for complete beginners given in Cambridge on 26th June 2018 organiser and co-tutor |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Postgraduate students |
| Results and Impact | The course is aimed at anyone new to the software who wishes to see what it an do in a real world context. |
| Year(s) Of Engagement Activity | 2018 |
| URL | http://www.spssusers.co.uk/ |
| Description | SPSS one day course for complete beginners in Manchester on 10th July 2018 organiser and co-tutor |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Postgraduate students |
| Results and Impact | Upto 15 delegates attending one day SPSS course for complete beginners at Manchester. This course is aimed at introducing social scientists to the software. |
| Year(s) Of Engagement Activity | 2018 |
| URL | http://www.spssusers.co.uk/ |
| Description | School Visit |
| Form Of Engagement Activity | Participation in an open day or visit at my research institution |
| Part Of Official Scheme? | No |
| Geographic Reach | Local |
| Primary Audience | Schools |
| Results and Impact | I gave a talk and a tour of our MRI facilities to a group of students from a local school. |
| Year(s) Of Engagement Activity | 2019 |
| Description | School visit: King's College London |
| Form Of Engagement Activity | Participation in an open day or visit at my research institution |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Schools |
| Results and Impact | I have demonstrated the mock scanner to over 20 students while explaining them the basics and application of MRI. |
| Year(s) Of Engagement Activity | 2015 |
| Description | School visit: Leys school |
| Form Of Engagement Activity | Participation in an open day or visit at my research institution |
| Part Of Official Scheme? | No |
| Geographic Reach | Local |
| Primary Audience | Schools |
| Results and Impact | I have talked about basics and application of fMRI to over 20 students, and showed them the mock scanner. Feedback was very positive. |
| Year(s) Of Engagement Activity | 2015,2016 |
| Description | SfN poster "A Survey On Methods Skills In Cognitive Neuroscience" |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Poster presentation on ongoing study on methods skills in cognitive neuroscience. This will influence our future neuroimaging methods training programme, and lead to a publication. |
| Year(s) Of Engagement Activity | 2017 |
| Description | SfN poster "Extracting Single-Trial Time Courses From EEG/MEG Data Using Spatial Filtering" |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Scientific poster presentation on on-going research project, discussion with scientific experts. |
| Year(s) Of Engagement Activity | 2017 |
| Description | Society of Applied Neuroscience (SAN) Meeting, 2014, Utrecht, The Netherlands |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | Yes |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Talk: Auer T. Neural circuits underlying the neurofeedback training Broadcast work to a larger audience which has helped inform future direction in research |
| Year(s) Of Engagement Activity | 2014 |
| Description | Statistical Methods for Cognitive Psychologists talks series (Peter Watson) |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | Local |
| Primary Audience | Postgraduate students |
| Results and Impact | This is a course planned with the needs in mind of a graduate student starting as a PhD student at the MRC Cognition and Brain Sciences but advertised and attended by researchers throughout the University of Cambridge. |
| Year(s) Of Engagement Activity | Pre-2006,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017,2018,2019,2020 |
| URL | http://imaging.mrc-cbu.cam.ac.uk/statswiki/StatsCourse2019 |
| Description | Statistics talks at CBSU |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | Local |
| Primary Audience | Postgraduate students |
| Results and Impact | The audience mainly of Cognitive Psychologist PhDs from CBSU and the University ask questions during the talks concerning best ways of analysing their clinical data. E-mail from attender asking for further information on post-hoc testing to explain an interaction on his genetics data. |
| Year(s) Of Engagement Activity | 2015,2016,2017 |
| URL | http://imaging.mrc-cbu.cam.ac.uk/statswiki/StatsCourse2015 |
| Description | Support and participation for "MEG and me" media event |
| Form Of Engagement Activity | A press release, press conference or response to a media enquiry/interview |
| Part Of Official Scheme? | No |
| Geographic Reach | Regional |
| Primary Audience | Public/other audiences |
| Results and Impact | The "MEG and me" was a public engagement event funded by a grant to Drs Tim Rittman and Saber Sami (University of Cambridge), which included the planning, setting up and running of an MEG experiment with members of the general public. It also included a filming session, which produced a movie that was for example shown at the Science Festival. I provided support and advice for the project and was interviewed for the movie. |
| Year(s) Of Engagement Activity | 2015 |
| URL | https://vimeo.com/user34508878 |
| Description | Survey on Methods Skills in Cognitive Neuroscience |
| Form Of Engagement Activity | Engagement focused website, blog or social media channel |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Postgraduate students |
| Results and Impact | Online survey on methods skills in cognitive neuroscience. The survey consisted of 18 analysis-methods-related questions relevant to cognitive neuroscience, plus questions on demographics etc. It was distributed mostly via software mailing lists. Over 500 participants have responded so far. The results will influence the way we design future skills-oriented training in our institution. |
| Year(s) Of Engagement Activity | 2015,2016,2017 |
| URL | https://www.surveymonkey.com/r/3JL2CZX?sm=0LHJUgVc5leXXTTT1QHF2w%3d%3d |
| Description | Symposium talk "Improving DNNs as models of the human ventral stream: a better visual diet and recurrent computations" |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Improving DNNs as models of the human ventral stream: a better visual diet and recurrent computations, ECVP 2018 Deep Learning Symposium, Trieste, Italy |
| Year(s) Of Engagement Activity | 2018 |
| Description | Talk "Co-registering eye tracking with EEG and MEG" at Annual Meeting of the British Association for Cognitive Neuroscience. |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Talk on a timely scientific topic to an expert audience. |
| Year(s) Of Engagement Activity | 2018 |
| URL | http://www.bacn.co.uk/meetings_210_293806390.pdf |
| Description | Talk at "Methods in Social Sciences" workshop (Corsica) |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Invited talk "Neuroimaging Methods for the Investigation of Language Processes" at workshop "Methods in Social Sciences - Past, Present and Future", 9-13 September 2019. |
| Year(s) Of Engagement Activity | 2019 |
| URL | https://studia.universita.corsica/plugins/actu/actu-front.php?id=6402 |
| Description | Talk at 2018 Cambridge Methods in Cognitive Neuroscience Seminar |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | Local |
| Primary Audience | Professional Practitioners |
| Results and Impact | I presented my research on measurement modelling for representational similarity analysis at the 2018 Cambridge Methods in Cognitive Neuroscience seminar, hosted at MRC CBU. |
| Year(s) Of Engagement Activity | 2018 |
| URL | http://www.mrc-cbu.cam.ac.uk/conferences/methods-day-2018/ |
| Description | Talk at 2018 Open Science Day |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Professional Practitioners |
| Results and Impact | I gave a tutorial introduction to the brain imaging data structure (BIDS) at the 2018 CBU Open Science Day. This included software that would make it possible for the audience to fully reproduce all the reported analyses on their own computers by visiting https://github.com/jooh/notebook_bids_OSD2018 |
| Year(s) Of Engagement Activity | 2018 |
| URL | https://www.youtube.com/watch?v=UkWQAfwgZPE |
| Description | Talk at 2018 RSA Workshop, Cambridge, UK |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Professional Practitioners |
| Results and Impact | I presented a talk at the 2018 Representational Similarity Analysis workshop on 22 May 2018. |
| Year(s) Of Engagement Activity | 2018 |
| Description | Talk at MEGUK2019 (Cardiff) |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Talk "Resolution Analysis of Source Estimation Methods: The Linear Toolkit" at MEGUK 2019 (Cardiff) by Olaf Hauk |
| Year(s) Of Engagement Activity | 2019 |
| URL | https://www.meguk.ac.uk/wp-content/uploads/sites/2/2019/04/MEGUK2019_Programme.pdf |
| Description | Talk at RefNet Round Table Discussion, Aberdeen |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Other audiences |
| Results and Impact | Invited talk on neuroscience of semantic word processing at RefNet Round Table Discussion, University of Aberdeen, January 2016 |
| Year(s) Of Engagement Activity | 2016 |
| URL | http://www.matt.qa/refnet/ |
| Description | Talk at the Neuroscience Centre of the University of Geneva, Olaf Hauk |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | Invited 45-minute talk "Finding meaning in the brain: EEG/MEG evidence for early and flexible lexico-semantic word processing", Olaf Hauk. Lab visit that resulted in exchange of ideas for example with respect to analysis methods. |
| Year(s) Of Engagement Activity | 2015 |
| Description | Viva examiner at University Chieti-Pescara (Italy) |
| Form Of Engagement Activity | A formal working group, expert panel or dialogue |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Professional Practitioners |
| Results and Impact | External examiner at PhD viva at d'Annunzio University Chieti-Pescara, 6 March 2019. |
| Year(s) Of Engagement Activity | 2019 |
| Description | Viva examiner at University of Cambridge |
| Form Of Engagement Activity | A formal working group, expert panel or dialogue |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Postgraduate students |
| Results and Impact | Internal examiner at PhD viva for Mrs Chiara Avancini, Department of Psychology, University of Cambridge. |
| Year(s) Of Engagement Activity | 2019 |
| Description | Viva examiner at University of Cambridge |
| Form Of Engagement Activity | A formal working group, expert panel or dialogue |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Postgraduate students |
| Results and Impact | Internal examiner for PhD viva of Mr Hun Choi at the Department of Psychology, University of Cambridge, on 7 December 2018. |
| Year(s) Of Engagement Activity | 2018 |
| Description | Viva examiner for multiple PhD theses at University of Chieti-Pescara |
| Form Of Engagement Activity | A formal working group, expert panel or dialogue |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Postgraduate students |
| Results and Impact | External viva examiner for 7 PhD vivas at University G. d'Annunzio Chieti-Pescara, 6 March 2019. |
| Year(s) Of Engagement Activity | 2019 |
| Description | Workshop series: Introduction to Neuroimaging Methods |
| Form Of Engagement Activity | Participation in an activity, workshop or similar |
| Part Of Official Scheme? | No |
| Geographic Reach | Local |
| Primary Audience | Postgraduate students |
| Results and Impact | We offer a series of hands-on workshops and lectures on important topics related to neuroimaging data analysis. A previous schedule can be found here: http://imaging.mrc-cbu.cam.ac.uk/methods/IntroductionNeuroimagingLectures Students and post-docs will be able to do their research more independently and creatively as a result of attending these workshops. We have attracted a number of students and post-docs from several institutes within Cambridge. This will be part of the official PhD training programme at the CBU from 2015. We obtain formal feedback from attendees, which so far has been very positive. We attracted a number of students and post-docs from outside the CBU, who clearly made an effort to attend (attendance is voluntary). |
| Year(s) Of Engagement Activity | 2013,2014 |
| URL | http://imaging.mrc-cbu.cam.ac.uk/imaging/CbuImaging |
| Description | advice given to a Leys School pupil concerning her A-Level statistics project |
| Form Of Engagement Activity | A formal working group, expert panel or dialogue |
| Part Of Official Scheme? | No |
| Geographic Reach | Local |
| Primary Audience | Schools |
| Results and Impact | Advised Jaya Chand, an A-Level pupil at the Leys School, on her A-Level project on Bayesian statistics where the aim was to obtain posterior scores for items in a survey given to fellow pupils. This project earned Jaya a grade 'A' on August 16th 2018. |
| Year(s) Of Engagement Activity | 2017,2018 |
| Description | •Invited talk in "Mind-Brain Lecture" at Free University and Humboldt University Berlin |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | International |
| Primary Audience | Other audiences |
| Results and Impact | Invited talk "Can I have a quick word" on neuroscience of language in "Mind-Brain Lecture" at Free University and Humboldt University Berlin, 3 May 2016 |
| Year(s) Of Engagement Activity | 2016 |
| URL | http://www.mind-and-brain.de/events/detail/?tx_mbevents_pi1%5BbackPid%5D=37&tx_mbevents_pi1%5Bid%5D=... |