Consortium on Vulnerability to Externalizing Disorders and Addictions [c-VEDA]
Lead Research Organisation:
King's College London
Department Name: Social Genetic and Dev Psychiatry Centre
Abstract
Alcohol use disorders (AUD) account for a disproportionately high share of the health burden in India and other low- and middle-income countries. This increasing burden is linked to societal changes in emerging nations, which include growing availability of alcohol, greater normalization of use and rapid changes in socio-economic conditions. Individuals with externalising behaviour, which are characterised by altered brain activity during reward processing and behavioural control have a higher risk for AUD. AUD and externalizing disorders share moderate to high heritability with environmental factors being important contributors. While both environmental and genetic factors conveying risk and resilience have been identified it is not established to what extent these factors are dependent on the wider socio-cultural and psychosocial context they are embedded in, or whether they are influenced by epigenetic and genetic factors that are specific for certain ethnicities. It is therefore unknown to what extent environmental and genetic risk factors are similar or distinct in industrialised nations and emerging societies such as in India. Furthermore, some environmental risk factors are largely specific to emerging societies, including exposure to nutritional stress, environmental neurotoxins and culturally dependent forms of psychosocial stress.
We propose to investigate in collaboration with Prof. Vivek Benegal of the National Institute for Mental Health and Neurosciences (NIMHANS), Bangalore and our Indian partners from Bangalore, Mysore, Calcutta, Chandigarh and Pune if environmental and genetic risk factors in industrialised countries and emerging societies shape brain function and behaviour in distinct ways, thus leading to different risk constellations and neurobehavioural trajectories for substance misuse and externalising disorders.
To address this aim we will establish a comprehensive database allowing comparative analyses of behavioural trajectories in childhood and adolescence, which provide a platform for sustained India-UK collaborations in mental health research. This platform will ascertain a great variety of environmental factors (exposome), biological samples as well as detailed neuroimaging analyses. We propose to compare insights into etiology and trajectories into substance abuse and externalising disorders gained from major European and UK studies including the longitudinal imaging genetics study "Reinforcement-related behaviour in normal development and psychopathology" (IMAGEN) and the "Avon Longitudinal Study of Parents and Children" (ALSPAC) with existing Indian cohorts. The Indian cohorts, which comprise >14.000 participants with aged 0-25 years include both high risk for substance misuse and population-based individuals from different social and environmental (rural and urban) backgrounds. They have been selected to cover the developmental period assessed in the UK cohorts, thus rendering the studies comparable. We aim to enrich the Indian cohorts, which have mainly been designed to investigate somatic disorders by adding a comprehensive assessment of mental health, externalising behaviour and substance use disorders involving psychometric and neuropsychological characterisation, as well as biological sampling in >10.000 participants with an age range of 6-23 years. Assessment instruments and protocols have been selected to allow comparison to IMAGEN and ALSPAC. We will randomly select among the cohort participants 1000 individuals aged between 10 and 23 years for neuroimaging, genetic and epigenetic analyses. We will control for socio-cultural and environmental influences by investigating determinants of substance abuse in SCAMP, a UK cohort recruiting 6.500 11-13 year old adolescents, >1000 of which are of South Asian descent. Together these data will allow for the most comprehensive comparative analysis of brain development and behaviour across different social and cultural environments to date.
We propose to investigate in collaboration with Prof. Vivek Benegal of the National Institute for Mental Health and Neurosciences (NIMHANS), Bangalore and our Indian partners from Bangalore, Mysore, Calcutta, Chandigarh and Pune if environmental and genetic risk factors in industrialised countries and emerging societies shape brain function and behaviour in distinct ways, thus leading to different risk constellations and neurobehavioural trajectories for substance misuse and externalising disorders.
To address this aim we will establish a comprehensive database allowing comparative analyses of behavioural trajectories in childhood and adolescence, which provide a platform for sustained India-UK collaborations in mental health research. This platform will ascertain a great variety of environmental factors (exposome), biological samples as well as detailed neuroimaging analyses. We propose to compare insights into etiology and trajectories into substance abuse and externalising disorders gained from major European and UK studies including the longitudinal imaging genetics study "Reinforcement-related behaviour in normal development and psychopathology" (IMAGEN) and the "Avon Longitudinal Study of Parents and Children" (ALSPAC) with existing Indian cohorts. The Indian cohorts, which comprise >14.000 participants with aged 0-25 years include both high risk for substance misuse and population-based individuals from different social and environmental (rural and urban) backgrounds. They have been selected to cover the developmental period assessed in the UK cohorts, thus rendering the studies comparable. We aim to enrich the Indian cohorts, which have mainly been designed to investigate somatic disorders by adding a comprehensive assessment of mental health, externalising behaviour and substance use disorders involving psychometric and neuropsychological characterisation, as well as biological sampling in >10.000 participants with an age range of 6-23 years. Assessment instruments and protocols have been selected to allow comparison to IMAGEN and ALSPAC. We will randomly select among the cohort participants 1000 individuals aged between 10 and 23 years for neuroimaging, genetic and epigenetic analyses. We will control for socio-cultural and environmental influences by investigating determinants of substance abuse in SCAMP, a UK cohort recruiting 6.500 11-13 year old adolescents, >1000 of which are of South Asian descent. Together these data will allow for the most comprehensive comparative analysis of brain development and behaviour across different social and cultural environments to date.
Technical Summary
Alcohol use disorders (AUD) account for a high share of the health burden in India. While environmental and genetic factors conveying risk for AUD and related externalizing disorders have been identified it is not established if these factors are dependent on the socio-cultural and psychosocial context, or whether they are influenced by epigenetic and genetic factors specific for certain ethnicities. Furthermore, some environmental risk factors are specific to emerging societies, including exposure to nutritional stress, environmental neurotoxins and culturally dependent forms of psychosocial stress. We will investigate in collaboration with the National Institute for Mental Health and Neurosciences, Bangalore and partners from Bangalore, Mysore, Calcutta, Chandigarh and Pune if environmental and genetic risk factors in industrialised countries and emerging societies shape brain function and behaviour in distinct ways, thus leading to different risk constellations and neurobehavioural trajectories for substance misuse and externalising disorders. Our objectives are: (1)Establishment of an accelerated longitudinal cohort of >10.000 individuals in India aged 6-23 years. (2)Assessment of addictive behaviour and detailed behavioural and clinical characterisation, with emphasis on externalising behaviour. (3)Assessment of environmental exposures to risk and resilience factors impacting gene expression, brain development, temperaments and behaviours. (4)Collection of biological samples in all participants. (5)Assessing neural processes using functional and structural neuroimaging in a subgroup of 1000 individuals. (6)Investigation of gene x environment modulation of brain development, and externalising and addictive behaviour through genetic and epigenetic studies. (7)Establishment of a bioresource with integrated database and biobank. (8)Capacity building through joint UK-Indian research activities. (9)Providing pilot data for a nationwide mental health cohort in India.
Planned Impact
This study will for the first time compare trajectories into substance abuse and externalising disorder in emerging nations and industrialised societies, and investigate their neurobehavioural underpinnings. As the majority of the world's population is living in emerging societies, and development of mental disorders in these societies has been understudied, our subject is of global public health relevance. Various stakeholders will benefit from our project and include:
1.) Academic researchers will benefit from the new knowledge generated within two years from the start of the project, as well as from the databank and bioresource established for future projects.
2.) Joint UK-India academic research benefits through the extensive collaborative network and the establishment of a sustained infrastructure and datasets which facilitate follow-up research projects as early as two years after the start of the project.
3.) A national mental health cohort, which can be planned on the basis of the expertise generated by this project, which will provide unparalleled information about mental health and disorders, and their determinants in the second most populous country in the world.
4.) Indian researchers will benefit immediately through the transfer of know how, methodologies and technology.
5.) Young investigators having an opportunity to become highly skilled in a cutting edge area of mental health research will also benefit immediately.
6.) Policy makers will benefit through detailed data on risk for substance use disorders and mental disorders which we will provide at the end of the project.
7.) Public policies at the regional and national level will be influenced by our report to the Government of India and other dissemination activities in the course of the project. International influence might be exerted by engaging and disseminating our findings to WHO and other international organisations.
8.) Clinical practice by public sector and charities might be influenced by specifically targeting at risk populations in early interventions. This benefit might be exerted five years after the end of the project.
9.) Enhancing quality of life, health and well-being through targeted interventions five years after the end of the project.
10.) Contributing to increasing public awareness and understanding of science through the dissemination of evidenced-based mental health information throughout the project.
1.) Academic researchers will benefit from the new knowledge generated within two years from the start of the project, as well as from the databank and bioresource established for future projects.
2.) Joint UK-India academic research benefits through the extensive collaborative network and the establishment of a sustained infrastructure and datasets which facilitate follow-up research projects as early as two years after the start of the project.
3.) A national mental health cohort, which can be planned on the basis of the expertise generated by this project, which will provide unparalleled information about mental health and disorders, and their determinants in the second most populous country in the world.
4.) Indian researchers will benefit immediately through the transfer of know how, methodologies and technology.
5.) Young investigators having an opportunity to become highly skilled in a cutting edge area of mental health research will also benefit immediately.
6.) Policy makers will benefit through detailed data on risk for substance use disorders and mental disorders which we will provide at the end of the project.
7.) Public policies at the regional and national level will be influenced by our report to the Government of India and other dissemination activities in the course of the project. International influence might be exerted by engaging and disseminating our findings to WHO and other international organisations.
8.) Clinical practice by public sector and charities might be influenced by specifically targeting at risk populations in early interventions. This benefit might be exerted five years after the end of the project.
9.) Enhancing quality of life, health and well-being through targeted interventions five years after the end of the project.
10.) Contributing to increasing public awareness and understanding of science through the dissemination of evidenced-based mental health information throughout the project.
Organisations
- King's College London (Lead Research Organisation)
- National Institute of Mental Health and Neurosciences (Collaboration)
- University of New Mexico (Collaboration)
- Heidelberg University (Collaboration)
- Indian Council of Medical Research (ICMR) (Collaboration)
- University of Dublin (Collaboration)
- University of Southern California (Collaboration)
- Alternative Energies and Atomic Energy Commission (CEA) (Collaboration)
- Technical University of Dresden (Collaboration)
- Central Institute for Mental Health (Collaboration)
- Regional Institute of Medical Sciences (Collaboration)
- Institute of Post Graduate Medical Education And Research (Collaboration)
- University Medical Center Hamburg-Eppendorf (Collaboration)
- Fudan University (Collaboration)
- UNIVERSITY OF SOUTHAMPTON (Collaboration)
- Charité - University of Medicine Berlin (Collaboration)
- UNIVERSITY OF NOTTINGHAM (Collaboration)
- National Institute of Health and Medical Research (INSERM) (Collaboration)
- Tianjin Medical University (Collaboration)
- Humboldt University of Berlin (Collaboration)
- Neurospin (Collaboration)
- University of Bristol (Collaboration)
- Trinity College Dublin (Collaboration)
- UNIVERSITY OF CAMBRIDGE (Collaboration)
- IMPERIAL COLLEGE LONDON (Collaboration)
- UNIVERSITY OF OXFORD (Collaboration)
- University of Vermont (Collaboration)
- University Hospital Erlangen (Collaboration)
- National Institutes of Health (NIH) (Collaboration)
- University of Toronto (Collaboration)
- Beijing Normal University (Collaboration)
Publications

Albaugh M
(2018)
The ventromedial prefrontal cortex: a putative locus for trait inattention
in Neuropsychopharmacology

Albaugh M
(2023)
Differential associations of adolescent versus young adult cannabis initiation with longitudinal brain change and behavior
in Molecular Psychiatry

Albaugh M
(2019)
Ventromedial Prefrontal Volume in Adolescence Predicts Hyperactive/Inattentive Symptoms in Adulthood
in Cerebral Cortex

Albaugh MD
(2019)
Amygdalar reactivity is associated with prefrontal cortical thickness in a large population-based sample of adolescents.
in PloS one

Albaugh MD
(2019)
White matter microstructure is associated with hyperactive/inattentive symptomatology and polygenic risk for attention-deficit/hyperactivity disorder in a population-based sample of adolescents.
in Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology

Albaugh MD
(2023)
Conduct problems are associated with accelerated thinning of emotion-related cortical regions in a community-based sample of adolescents.
in Psychiatry research. Neuroimaging

Albaugh MD
(2021)
Association of Cannabis Use During Adolescence With Neurodevelopment.
in JAMA psychiatry

Albaugh MD
(2017)
Inattention and Reaction Time Variability Are Linked to Ventromedial Prefrontal Volume in Adolescents.
in Biological psychiatry

Axelrud LK
(2021)
Neuroimaging Association Scores: reliability and validity of aggregate measures of brain structural features linked to mental disorders in youth.
in European child & adolescent psychiatry

Backhausen L
(2023)
Interplay of early negative life events, development of orbitofrontal cortical thickness and depression in young adulthood
in JCPP Advances
Description | The study was set up to develop a mechanism to create a database and biorepository to allow longitudinal investigations of the interactions between the exposome and the genome that predict vulnerability/ resilience to externalizing (and internalizing) psychopathology, via variations in neurodevelopmental trajectories and psychological abilities. We have established the largest Indian neurodevelopmental cohort. This is an important resource for understanding vulnerabilities to mental ill health, and resilience, in the Indian population. We have successfully accumulated data on 9000+ subjects (6-23 years), spread over seven regionally distinct sites across India. [https://cveda.org/] The project has established a shareable and searchable databank of: 1. Measures of neurodevelopment a] neuro-imaging of brain volume, thickness, white matter maturity, functional connectivity - using structural MRI, DTI, resting state MRI - in a subset of 1250+ subjects with ongoing repeated measures in 350; b] neuropsychological abilities- using computerised test batteries; c] repeated psychometric measures of temperament and/or personality; d] repeated measures of psychopathology. 2. Measures of exposures to developmental stressors (from birth through developmental span), including psychosocial, nutritional and neurotoxic stressors, which are thought to impact gene expression, brain development and eventually temperaments and behaviours. The project has also established a biobank of: 1. Frozen Blood components (plasma, buffy coat and RBCs) and saliva samples - to enable genotyping and epigenotyping experiments. 1000 samples of participants who also have MRI scans and other psychometric data have been genotyped using GWAS chips (Infinium Global Screening Array-24 v1.0 BeadChip © Illumina with customized additional probes for psychiatric disorders) 2. Frozen urine samples to enable chemical analyses for exposure to heavy metals, plastic residues, volatile organic compounds, nicotine residues etc. Data from the first 3 years of this cohort have been published in a publicly available database and bio-repository (https://cveda.org/access-dataset/). Early analyses have focused on delineating normative and deviant neurodevelopmental trajectories. cVEDA has provided a first high-powered look into the issue of vulnerabilities for the development of externalising disorders and addiction in a LMIC country, where externalizing disorders are common, yet under-studied. With a developmental perspective, c-VEDA applied an accelerated longitudinal data structure with planned missing design, in order to achieve not only a large cross-sectional baseline dataset, but also a longitudinal dataset that would enable analysis on the developmental trajectories and associated factors for externalizing problems. To complete the two waves of follow-ups to enable longitudinal modelling the project needs to continue until October 2021. |
Exploitation Route | The data has been used to develop normative neurodevelopmental curves and deviations underlying vulnerability to psychopathology in Indian youngsters. Similar to normative growth curves in pediatrics, we anticipate that the neurodevelopmental and psychological abilities curves will be used to monitor development across childhood into early adulthood. They can be used to detect deviations which predict vulnerability to psychopathology. This will enable Early detection and individual prediction with an aim of instituting early intervention for children at risk. Our results show structural differences are apparent when comparing the IBTs and MNI template, and pairwise comparisons of local deformation showed that registration with Indian templates required less deformation of original images with more accurate stereotactic standardization and anatomical localization. Taken together these results indicate the appropriateness of Indian templates for spatial normalization of Indian brains. These templates and atlases will be made publicly available at NIMHANS and AFNI websites. We anticipate that these templates will become the standard for routine clinical as well as research MRI imaging. |
Sectors | Communities and Social Services/Policy Healthcare |
Description | International Max Planck Research School for Translational Psychiatry |
Geographic Reach | Europe |
Policy Influence Type | Influenced training of practitioners or researchers |
Impact | We are contributing to the IMPRS, a prestigious and highly selective international postgraduate education programme, with global applicants who are trained to be world leaders in the field of translational psychiatry. |
Description | Scientific advisory committees of the Leibniz Institute for Neurobiology and the IMI AETIONOMY |
Geographic Reach | Europe |
Policy Influence Type | Participation in a guidance/advisory committee |
Description | ERC advanced grant 'STRATIFY' |
Amount | € 3,490,000 (EUR) |
Funding ID | 695313 |
Organisation | European Research Council (ERC) |
Sector | Public |
Country | Belgium |
Start | 09/2016 |
End | 09/2021 |
Description | Horizon 2020 |
Amount | € 4,000,000 (EUR) |
Organisation | JPND Research |
Sector | Academic/University |
Country | Global |
Start | 06/2016 |
End | 06/2019 |
Description | IMAGEN pathways (ERANID) |
Amount | £193,162 (GBP) |
Organisation | Government of Catalonia |
Department | Department of Health |
Sector | Public |
Country | Spain |
Start | 01/2017 |
End | 12/2019 |
Title | Currently developing COINSTAC |
Description | To enhance our collaborative research, we will enable integrated analysis of cohort data by adapting an existing decentralized platform for large scale analyses called 'COINSTAC' (Plis et al, 2016), which allows anonymous analyses of multiple cohorts and large-scale aggregated datasets, including neuroimaging data. COINSTAC incorporates tools enabling distributed computation and virtual pooling of data. These measures will enable analyses to identify and rank urbanisation-related risk to mental health, and to identify predictors and stratification markers using multivariate techniques developed in our group. |
Type Of Material | Improvements to research infrastructure |
Provided To Others? | No |
Impact | This is currently not developed but is in the early stages of establishing and adapting. |
Title | Developing a framework to study urban ecology and its relation to brain and behaviour |
Description | We are currently assembling data on urban living in a shared framework that enables the analysis of their relation to neuroimaging, behavioural and genetic data in geocoded individuals in Europe and globally.. |
Type Of Material | Model of mechanisms or symptoms - human |
Year Produced | 2018 |
Provided To Others? | No |
Impact | in preparation |
Title | Developing an algorithm to identify behavioural symptoms based on shared biological underpinnings |
Description | We have developed a multiple sparse canonical correlation analysis to identify symptoms with a shared biological underpinning measures using functional and structural neuroimaging data, as well as -omics and environmental characterisation (Ing et al. Nature NS, in revision). |
Type Of Material | Model of mechanisms or symptoms - human |
Year Produced | 2015 |
Provided To Others? | No |
Impact | Not published yet |
Title | Geospatial tool to characterize physical environment |
Description | We are establishing and adapting a geospatial data tool to identify environmental risks, developed with the NIHR-funded MindTech Healthcare Technology Cooperative supported by the Centre for Wireless and Population Health Systems at UCSD and the Centre for Translational Informatics. Together with our local partners in India, we will map requirements of stakeholders, including participants and contract software developers to develop and test an app adapted to local needs. |
Type Of Material | Improvements to research infrastructure |
Year Produced | 2016 |
Provided To Others? | Yes |
Impact | This is currently in progress |
Title | c-VEDA dataset |
Description | |
Type Of Material | Database/Collection of data |
Year Produced | 2018 |
Provided To Others? | Yes |
Title | c-VEDA dataset |
Description | |
Type Of Material | Database/Collection of data |
Year Produced | 2018 |
Provided To Others? | Yes |
Title | c-VEDA dataset |
Description | |
Type Of Material | Database/Collection of data |
Year Produced | 2019 |
Provided To Others? | Yes |
Title | c-VEDA dataset |
Description | |
Type Of Material | Database/Collection of data |
Year Produced | 2019 |
Provided To Others? | Yes |
Title | c-VEDA dataset |
Description | |
Type Of Material | Database/Collection of data |
Year Produced | 2018 |
Provided To Others? | Yes |
Title | c-VEDA dataset |
Description | |
Type Of Material | Database/Collection of data |
Year Produced | 2019 |
Provided To Others? | Yes |
Title | c-VEDA dataset |
Description | |
Type Of Material | Database/Collection of data |
Year Produced | 2019 |
Provided To Others? | Yes |
Title | cVEDA database |
Description | The cVEDA database currently contains baseline data of over 8000 individuals aged 6-23 years, including over 1300 neuroimaging scans. We are currently completing baseline analysis and carrying out follow-up assessments to complete our accelerated longitudinal study. |
Type Of Material | Database/Collection of data |
Year Produced | 2019 |
Provided To Others? | Yes |
Impact | Currently largest deep-phenotyping population-based database in India, specialising on children and adolescent development. |
Description | Centre for Population Neuroscience and Precision Medicine (PONS) |
Organisation | Beijing Normal University |
Country | China |
Sector | Academic/University |
PI Contribution | The Centre for Population Neuroscience and Precision Medicine (PONS) aims at establishing and analysing big neuroimaging genetic datasets to precisely identify brain mechanisms underlying behaviour, and their genetic and environmental mediators, thus enabling prediction and stratification of mental disorders. The generation of well-characterised large scale databases internationally, the advent of deep phenotyping through biological assessments, including neuroimaging and -omics technologies, and the development of novel computer science and statistical tools to relate and analyse different data levels enable powerful new solutions to elucidate the biological basis of dysfunctional behaviour and mental disorders in its environmental context on a population-wide and global scale. |
Collaborator Contribution | To realize this potential PONS brings together an interdisciplinary group of world leading clinical and basic researchers. The Centre is led by Gunter Schumann, Chair in Biological Psychiatry at the Social, Genetic & Developmental Psychiatry Centre (MRC). Main researchers involved in the PONS Centre include Gareth Barker, Professor of Magnetic Resonance Imaging (Centre for Neuroimaging Science), Ted Barker, Reader in Developmental Psychopathology (Dept. of Psychology), Sylvane Desrivieres, Reader in Genetics (MRC-SGDP Centre), Sukhwinder Shergill, Professor of Psychiatry (Dept. of Psychosis Studies), Ulrike Schmidt, Professor of Eating Disorders and Head of Department of Psychological Medicine), Steve Williams, Professor of Imaging Sciences and Director of the Centre for Neuroimaging Science. To complement the strengths of the research team at IoPPN we have established close links with leading biomathematicians and computer scientists at the Institute of Science and Technology of Brain-like Intelligence (ISTBI) at Fudan University, Shanghai, led by Professor Jianfeng Feng. ISTBI develops new theories of artificial intelligence inspired and developed from neuroscience that will be applied to computer science and medicine. |
Impact | Multi-disciplinary collaboration that has resulted in several publications since summer 2017 (see website https://www.kcl.ac.uk/ioppn/research/centres/pons/about.aspx) |
Start Year | 2017 |
Description | Centre for Population Neuroscience and Precision Medicine (PONS) |
Organisation | Central Institute for Mental Health |
Country | Germany |
Sector | Academic/University |
PI Contribution | The Centre for Population Neuroscience and Precision Medicine (PONS) aims at establishing and analysing big neuroimaging genetic datasets to precisely identify brain mechanisms underlying behaviour, and their genetic and environmental mediators, thus enabling prediction and stratification of mental disorders. The generation of well-characterised large scale databases internationally, the advent of deep phenotyping through biological assessments, including neuroimaging and -omics technologies, and the development of novel computer science and statistical tools to relate and analyse different data levels enable powerful new solutions to elucidate the biological basis of dysfunctional behaviour and mental disorders in its environmental context on a population-wide and global scale. |
Collaborator Contribution | To realize this potential PONS brings together an interdisciplinary group of world leading clinical and basic researchers. The Centre is led by Gunter Schumann, Chair in Biological Psychiatry at the Social, Genetic & Developmental Psychiatry Centre (MRC). Main researchers involved in the PONS Centre include Gareth Barker, Professor of Magnetic Resonance Imaging (Centre for Neuroimaging Science), Ted Barker, Reader in Developmental Psychopathology (Dept. of Psychology), Sylvane Desrivieres, Reader in Genetics (MRC-SGDP Centre), Sukhwinder Shergill, Professor of Psychiatry (Dept. of Psychosis Studies), Ulrike Schmidt, Professor of Eating Disorders and Head of Department of Psychological Medicine), Steve Williams, Professor of Imaging Sciences and Director of the Centre for Neuroimaging Science. To complement the strengths of the research team at IoPPN we have established close links with leading biomathematicians and computer scientists at the Institute of Science and Technology of Brain-like Intelligence (ISTBI) at Fudan University, Shanghai, led by Professor Jianfeng Feng. ISTBI develops new theories of artificial intelligence inspired and developed from neuroscience that will be applied to computer science and medicine. |
Impact | Multi-disciplinary collaboration that has resulted in several publications since summer 2017 (see website https://www.kcl.ac.uk/ioppn/research/centres/pons/about.aspx) |
Start Year | 2017 |
Description | Centre for Population Neuroscience and Precision Medicine (PONS) |
Organisation | Charité - University of Medicine Berlin |
Country | Germany |
Sector | Academic/University |
PI Contribution | The Centre for Population Neuroscience and Precision Medicine (PONS) aims at establishing and analysing big neuroimaging genetic datasets to precisely identify brain mechanisms underlying behaviour, and their genetic and environmental mediators, thus enabling prediction and stratification of mental disorders. The generation of well-characterised large scale databases internationally, the advent of deep phenotyping through biological assessments, including neuroimaging and -omics technologies, and the development of novel computer science and statistical tools to relate and analyse different data levels enable powerful new solutions to elucidate the biological basis of dysfunctional behaviour and mental disorders in its environmental context on a population-wide and global scale. |
Collaborator Contribution | To realize this potential PONS brings together an interdisciplinary group of world leading clinical and basic researchers. The Centre is led by Gunter Schumann, Chair in Biological Psychiatry at the Social, Genetic & Developmental Psychiatry Centre (MRC). Main researchers involved in the PONS Centre include Gareth Barker, Professor of Magnetic Resonance Imaging (Centre for Neuroimaging Science), Ted Barker, Reader in Developmental Psychopathology (Dept. of Psychology), Sylvane Desrivieres, Reader in Genetics (MRC-SGDP Centre), Sukhwinder Shergill, Professor of Psychiatry (Dept. of Psychosis Studies), Ulrike Schmidt, Professor of Eating Disorders and Head of Department of Psychological Medicine), Steve Williams, Professor of Imaging Sciences and Director of the Centre for Neuroimaging Science. To complement the strengths of the research team at IoPPN we have established close links with leading biomathematicians and computer scientists at the Institute of Science and Technology of Brain-like Intelligence (ISTBI) at Fudan University, Shanghai, led by Professor Jianfeng Feng. ISTBI develops new theories of artificial intelligence inspired and developed from neuroscience that will be applied to computer science and medicine. |
Impact | Multi-disciplinary collaboration that has resulted in several publications since summer 2017 (see website https://www.kcl.ac.uk/ioppn/research/centres/pons/about.aspx) |
Start Year | 2017 |
Description | Centre for Population Neuroscience and Precision Medicine (PONS) |
Organisation | Fudan University |
Country | China |
Sector | Academic/University |
PI Contribution | The Centre for Population Neuroscience and Precision Medicine (PONS) aims at establishing and analysing big neuroimaging genetic datasets to precisely identify brain mechanisms underlying behaviour, and their genetic and environmental mediators, thus enabling prediction and stratification of mental disorders. The generation of well-characterised large scale databases internationally, the advent of deep phenotyping through biological assessments, including neuroimaging and -omics technologies, and the development of novel computer science and statistical tools to relate and analyse different data levels enable powerful new solutions to elucidate the biological basis of dysfunctional behaviour and mental disorders in its environmental context on a population-wide and global scale. |
Collaborator Contribution | To realize this potential PONS brings together an interdisciplinary group of world leading clinical and basic researchers. The Centre is led by Gunter Schumann, Chair in Biological Psychiatry at the Social, Genetic & Developmental Psychiatry Centre (MRC). Main researchers involved in the PONS Centre include Gareth Barker, Professor of Magnetic Resonance Imaging (Centre for Neuroimaging Science), Ted Barker, Reader in Developmental Psychopathology (Dept. of Psychology), Sylvane Desrivieres, Reader in Genetics (MRC-SGDP Centre), Sukhwinder Shergill, Professor of Psychiatry (Dept. of Psychosis Studies), Ulrike Schmidt, Professor of Eating Disorders and Head of Department of Psychological Medicine), Steve Williams, Professor of Imaging Sciences and Director of the Centre for Neuroimaging Science. To complement the strengths of the research team at IoPPN we have established close links with leading biomathematicians and computer scientists at the Institute of Science and Technology of Brain-like Intelligence (ISTBI) at Fudan University, Shanghai, led by Professor Jianfeng Feng. ISTBI develops new theories of artificial intelligence inspired and developed from neuroscience that will be applied to computer science and medicine. |
Impact | Multi-disciplinary collaboration that has resulted in several publications since summer 2017 (see website https://www.kcl.ac.uk/ioppn/research/centres/pons/about.aspx) |
Start Year | 2017 |
Description | Centre for Population Neuroscience and Precision Medicine (PONS) |
Organisation | Imperial College London |
Country | United Kingdom |
Sector | Academic/University |
PI Contribution | The Centre for Population Neuroscience and Precision Medicine (PONS) aims at establishing and analysing big neuroimaging genetic datasets to precisely identify brain mechanisms underlying behaviour, and their genetic and environmental mediators, thus enabling prediction and stratification of mental disorders. The generation of well-characterised large scale databases internationally, the advent of deep phenotyping through biological assessments, including neuroimaging and -omics technologies, and the development of novel computer science and statistical tools to relate and analyse different data levels enable powerful new solutions to elucidate the biological basis of dysfunctional behaviour and mental disorders in its environmental context on a population-wide and global scale. |
Collaborator Contribution | To realize this potential PONS brings together an interdisciplinary group of world leading clinical and basic researchers. The Centre is led by Gunter Schumann, Chair in Biological Psychiatry at the Social, Genetic & Developmental Psychiatry Centre (MRC). Main researchers involved in the PONS Centre include Gareth Barker, Professor of Magnetic Resonance Imaging (Centre for Neuroimaging Science), Ted Barker, Reader in Developmental Psychopathology (Dept. of Psychology), Sylvane Desrivieres, Reader in Genetics (MRC-SGDP Centre), Sukhwinder Shergill, Professor of Psychiatry (Dept. of Psychosis Studies), Ulrike Schmidt, Professor of Eating Disorders and Head of Department of Psychological Medicine), Steve Williams, Professor of Imaging Sciences and Director of the Centre for Neuroimaging Science. To complement the strengths of the research team at IoPPN we have established close links with leading biomathematicians and computer scientists at the Institute of Science and Technology of Brain-like Intelligence (ISTBI) at Fudan University, Shanghai, led by Professor Jianfeng Feng. ISTBI develops new theories of artificial intelligence inspired and developed from neuroscience that will be applied to computer science and medicine. |
Impact | Multi-disciplinary collaboration that has resulted in several publications since summer 2017 (see website https://www.kcl.ac.uk/ioppn/research/centres/pons/about.aspx) |
Start Year | 2017 |
Description | Centre for Population Neuroscience and Precision Medicine (PONS) |
Organisation | Indian Council of Medical Research (ICMR) |
Country | India |
Sector | Public |
PI Contribution | The Centre for Population Neuroscience and Precision Medicine (PONS) aims at establishing and analysing big neuroimaging genetic datasets to precisely identify brain mechanisms underlying behaviour, and their genetic and environmental mediators, thus enabling prediction and stratification of mental disorders. The generation of well-characterised large scale databases internationally, the advent of deep phenotyping through biological assessments, including neuroimaging and -omics technologies, and the development of novel computer science and statistical tools to relate and analyse different data levels enable powerful new solutions to elucidate the biological basis of dysfunctional behaviour and mental disorders in its environmental context on a population-wide and global scale. |
Collaborator Contribution | To realize this potential PONS brings together an interdisciplinary group of world leading clinical and basic researchers. The Centre is led by Gunter Schumann, Chair in Biological Psychiatry at the Social, Genetic & Developmental Psychiatry Centre (MRC). Main researchers involved in the PONS Centre include Gareth Barker, Professor of Magnetic Resonance Imaging (Centre for Neuroimaging Science), Ted Barker, Reader in Developmental Psychopathology (Dept. of Psychology), Sylvane Desrivieres, Reader in Genetics (MRC-SGDP Centre), Sukhwinder Shergill, Professor of Psychiatry (Dept. of Psychosis Studies), Ulrike Schmidt, Professor of Eating Disorders and Head of Department of Psychological Medicine), Steve Williams, Professor of Imaging Sciences and Director of the Centre for Neuroimaging Science. To complement the strengths of the research team at IoPPN we have established close links with leading biomathematicians and computer scientists at the Institute of Science and Technology of Brain-like Intelligence (ISTBI) at Fudan University, Shanghai, led by Professor Jianfeng Feng. ISTBI develops new theories of artificial intelligence inspired and developed from neuroscience that will be applied to computer science and medicine. |
Impact | Multi-disciplinary collaboration that has resulted in several publications since summer 2017 (see website https://www.kcl.ac.uk/ioppn/research/centres/pons/about.aspx) |
Start Year | 2017 |
Description | Centre for Population Neuroscience and Precision Medicine (PONS) |
Organisation | Institute of Post Graduate Medical Education And Research |
Country | India |
Sector | Academic/University |
PI Contribution | The Centre for Population Neuroscience and Precision Medicine (PONS) aims at establishing and analysing big neuroimaging genetic datasets to precisely identify brain mechanisms underlying behaviour, and their genetic and environmental mediators, thus enabling prediction and stratification of mental disorders. The generation of well-characterised large scale databases internationally, the advent of deep phenotyping through biological assessments, including neuroimaging and -omics technologies, and the development of novel computer science and statistical tools to relate and analyse different data levels enable powerful new solutions to elucidate the biological basis of dysfunctional behaviour and mental disorders in its environmental context on a population-wide and global scale. |
Collaborator Contribution | To realize this potential PONS brings together an interdisciplinary group of world leading clinical and basic researchers. The Centre is led by Gunter Schumann, Chair in Biological Psychiatry at the Social, Genetic & Developmental Psychiatry Centre (MRC). Main researchers involved in the PONS Centre include Gareth Barker, Professor of Magnetic Resonance Imaging (Centre for Neuroimaging Science), Ted Barker, Reader in Developmental Psychopathology (Dept. of Psychology), Sylvane Desrivieres, Reader in Genetics (MRC-SGDP Centre), Sukhwinder Shergill, Professor of Psychiatry (Dept. of Psychosis Studies), Ulrike Schmidt, Professor of Eating Disorders and Head of Department of Psychological Medicine), Steve Williams, Professor of Imaging Sciences and Director of the Centre for Neuroimaging Science. To complement the strengths of the research team at IoPPN we have established close links with leading biomathematicians and computer scientists at the Institute of Science and Technology of Brain-like Intelligence (ISTBI) at Fudan University, Shanghai, led by Professor Jianfeng Feng. ISTBI develops new theories of artificial intelligence inspired and developed from neuroscience that will be applied to computer science and medicine. |
Impact | Multi-disciplinary collaboration that has resulted in several publications since summer 2017 (see website https://www.kcl.ac.uk/ioppn/research/centres/pons/about.aspx) |
Start Year | 2017 |
Description | Centre for Population Neuroscience and Precision Medicine (PONS) |
Organisation | National Institute of Health and Medical Research (INSERM) |
Country | France |
Sector | Academic/University |
PI Contribution | The Centre for Population Neuroscience and Precision Medicine (PONS) aims at establishing and analysing big neuroimaging genetic datasets to precisely identify brain mechanisms underlying behaviour, and their genetic and environmental mediators, thus enabling prediction and stratification of mental disorders. The generation of well-characterised large scale databases internationally, the advent of deep phenotyping through biological assessments, including neuroimaging and -omics technologies, and the development of novel computer science and statistical tools to relate and analyse different data levels enable powerful new solutions to elucidate the biological basis of dysfunctional behaviour and mental disorders in its environmental context on a population-wide and global scale. |
Collaborator Contribution | To realize this potential PONS brings together an interdisciplinary group of world leading clinical and basic researchers. The Centre is led by Gunter Schumann, Chair in Biological Psychiatry at the Social, Genetic & Developmental Psychiatry Centre (MRC). Main researchers involved in the PONS Centre include Gareth Barker, Professor of Magnetic Resonance Imaging (Centre for Neuroimaging Science), Ted Barker, Reader in Developmental Psychopathology (Dept. of Psychology), Sylvane Desrivieres, Reader in Genetics (MRC-SGDP Centre), Sukhwinder Shergill, Professor of Psychiatry (Dept. of Psychosis Studies), Ulrike Schmidt, Professor of Eating Disorders and Head of Department of Psychological Medicine), Steve Williams, Professor of Imaging Sciences and Director of the Centre for Neuroimaging Science. To complement the strengths of the research team at IoPPN we have established close links with leading biomathematicians and computer scientists at the Institute of Science and Technology of Brain-like Intelligence (ISTBI) at Fudan University, Shanghai, led by Professor Jianfeng Feng. ISTBI develops new theories of artificial intelligence inspired and developed from neuroscience that will be applied to computer science and medicine. |
Impact | Multi-disciplinary collaboration that has resulted in several publications since summer 2017 (see website https://www.kcl.ac.uk/ioppn/research/centres/pons/about.aspx) |
Start Year | 2017 |
Description | Centre for Population Neuroscience and Precision Medicine (PONS) |
Organisation | Regional Institute of Medical Sciences |
Country | India |
Sector | Hospitals |
PI Contribution | The Centre for Population Neuroscience and Precision Medicine (PONS) aims at establishing and analysing big neuroimaging genetic datasets to precisely identify brain mechanisms underlying behaviour, and their genetic and environmental mediators, thus enabling prediction and stratification of mental disorders. The generation of well-characterised large scale databases internationally, the advent of deep phenotyping through biological assessments, including neuroimaging and -omics technologies, and the development of novel computer science and statistical tools to relate and analyse different data levels enable powerful new solutions to elucidate the biological basis of dysfunctional behaviour and mental disorders in its environmental context on a population-wide and global scale. |
Collaborator Contribution | To realize this potential PONS brings together an interdisciplinary group of world leading clinical and basic researchers. The Centre is led by Gunter Schumann, Chair in Biological Psychiatry at the Social, Genetic & Developmental Psychiatry Centre (MRC). Main researchers involved in the PONS Centre include Gareth Barker, Professor of Magnetic Resonance Imaging (Centre for Neuroimaging Science), Ted Barker, Reader in Developmental Psychopathology (Dept. of Psychology), Sylvane Desrivieres, Reader in Genetics (MRC-SGDP Centre), Sukhwinder Shergill, Professor of Psychiatry (Dept. of Psychosis Studies), Ulrike Schmidt, Professor of Eating Disorders and Head of Department of Psychological Medicine), Steve Williams, Professor of Imaging Sciences and Director of the Centre for Neuroimaging Science. To complement the strengths of the research team at IoPPN we have established close links with leading biomathematicians and computer scientists at the Institute of Science and Technology of Brain-like Intelligence (ISTBI) at Fudan University, Shanghai, led by Professor Jianfeng Feng. ISTBI develops new theories of artificial intelligence inspired and developed from neuroscience that will be applied to computer science and medicine. |
Impact | Multi-disciplinary collaboration that has resulted in several publications since summer 2017 (see website https://www.kcl.ac.uk/ioppn/research/centres/pons/about.aspx) |
Start Year | 2017 |
Description | Centre for Population Neuroscience and Precision Medicine (PONS) |
Organisation | Trinity College Dublin |
Country | Ireland |
Sector | Academic/University |
PI Contribution | The Centre for Population Neuroscience and Precision Medicine (PONS) aims at establishing and analysing big neuroimaging genetic datasets to precisely identify brain mechanisms underlying behaviour, and their genetic and environmental mediators, thus enabling prediction and stratification of mental disorders. The generation of well-characterised large scale databases internationally, the advent of deep phenotyping through biological assessments, including neuroimaging and -omics technologies, and the development of novel computer science and statistical tools to relate and analyse different data levels enable powerful new solutions to elucidate the biological basis of dysfunctional behaviour and mental disorders in its environmental context on a population-wide and global scale. |
Collaborator Contribution | To realize this potential PONS brings together an interdisciplinary group of world leading clinical and basic researchers. The Centre is led by Gunter Schumann, Chair in Biological Psychiatry at the Social, Genetic & Developmental Psychiatry Centre (MRC). Main researchers involved in the PONS Centre include Gareth Barker, Professor of Magnetic Resonance Imaging (Centre for Neuroimaging Science), Ted Barker, Reader in Developmental Psychopathology (Dept. of Psychology), Sylvane Desrivieres, Reader in Genetics (MRC-SGDP Centre), Sukhwinder Shergill, Professor of Psychiatry (Dept. of Psychosis Studies), Ulrike Schmidt, Professor of Eating Disorders and Head of Department of Psychological Medicine), Steve Williams, Professor of Imaging Sciences and Director of the Centre for Neuroimaging Science. To complement the strengths of the research team at IoPPN we have established close links with leading biomathematicians and computer scientists at the Institute of Science and Technology of Brain-like Intelligence (ISTBI) at Fudan University, Shanghai, led by Professor Jianfeng Feng. ISTBI develops new theories of artificial intelligence inspired and developed from neuroscience that will be applied to computer science and medicine. |
Impact | Multi-disciplinary collaboration that has resulted in several publications since summer 2017 (see website https://www.kcl.ac.uk/ioppn/research/centres/pons/about.aspx) |
Start Year | 2017 |
Description | Centre for Population Neuroscience and Precision Medicine (PONS) |
Organisation | University Hospital Erlangen |
Country | Germany |
Sector | Hospitals |
PI Contribution | The Centre for Population Neuroscience and Precision Medicine (PONS) aims at establishing and analysing big neuroimaging genetic datasets to precisely identify brain mechanisms underlying behaviour, and their genetic and environmental mediators, thus enabling prediction and stratification of mental disorders. The generation of well-characterised large scale databases internationally, the advent of deep phenotyping through biological assessments, including neuroimaging and -omics technologies, and the development of novel computer science and statistical tools to relate and analyse different data levels enable powerful new solutions to elucidate the biological basis of dysfunctional behaviour and mental disorders in its environmental context on a population-wide and global scale. |
Collaborator Contribution | To realize this potential PONS brings together an interdisciplinary group of world leading clinical and basic researchers. The Centre is led by Gunter Schumann, Chair in Biological Psychiatry at the Social, Genetic & Developmental Psychiatry Centre (MRC). Main researchers involved in the PONS Centre include Gareth Barker, Professor of Magnetic Resonance Imaging (Centre for Neuroimaging Science), Ted Barker, Reader in Developmental Psychopathology (Dept. of Psychology), Sylvane Desrivieres, Reader in Genetics (MRC-SGDP Centre), Sukhwinder Shergill, Professor of Psychiatry (Dept. of Psychosis Studies), Ulrike Schmidt, Professor of Eating Disorders and Head of Department of Psychological Medicine), Steve Williams, Professor of Imaging Sciences and Director of the Centre for Neuroimaging Science. To complement the strengths of the research team at IoPPN we have established close links with leading biomathematicians and computer scientists at the Institute of Science and Technology of Brain-like Intelligence (ISTBI) at Fudan University, Shanghai, led by Professor Jianfeng Feng. ISTBI develops new theories of artificial intelligence inspired and developed from neuroscience that will be applied to computer science and medicine. |
Impact | Multi-disciplinary collaboration that has resulted in several publications since summer 2017 (see website https://www.kcl.ac.uk/ioppn/research/centres/pons/about.aspx) |
Start Year | 2017 |
Description | Centre for Population Neuroscience and Precision Medicine (PONS) |
Organisation | University Medical Center Hamburg-Eppendorf |
Country | Germany |
Sector | Hospitals |
PI Contribution | The Centre for Population Neuroscience and Precision Medicine (PONS) aims at establishing and analysing big neuroimaging genetic datasets to precisely identify brain mechanisms underlying behaviour, and their genetic and environmental mediators, thus enabling prediction and stratification of mental disorders. The generation of well-characterised large scale databases internationally, the advent of deep phenotyping through biological assessments, including neuroimaging and -omics technologies, and the development of novel computer science and statistical tools to relate and analyse different data levels enable powerful new solutions to elucidate the biological basis of dysfunctional behaviour and mental disorders in its environmental context on a population-wide and global scale. |
Collaborator Contribution | To realize this potential PONS brings together an interdisciplinary group of world leading clinical and basic researchers. The Centre is led by Gunter Schumann, Chair in Biological Psychiatry at the Social, Genetic & Developmental Psychiatry Centre (MRC). Main researchers involved in the PONS Centre include Gareth Barker, Professor of Magnetic Resonance Imaging (Centre for Neuroimaging Science), Ted Barker, Reader in Developmental Psychopathology (Dept. of Psychology), Sylvane Desrivieres, Reader in Genetics (MRC-SGDP Centre), Sukhwinder Shergill, Professor of Psychiatry (Dept. of Psychosis Studies), Ulrike Schmidt, Professor of Eating Disorders and Head of Department of Psychological Medicine), Steve Williams, Professor of Imaging Sciences and Director of the Centre for Neuroimaging Science. To complement the strengths of the research team at IoPPN we have established close links with leading biomathematicians and computer scientists at the Institute of Science and Technology of Brain-like Intelligence (ISTBI) at Fudan University, Shanghai, led by Professor Jianfeng Feng. ISTBI develops new theories of artificial intelligence inspired and developed from neuroscience that will be applied to computer science and medicine. |
Impact | Multi-disciplinary collaboration that has resulted in several publications since summer 2017 (see website https://www.kcl.ac.uk/ioppn/research/centres/pons/about.aspx) |
Start Year | 2017 |
Description | Centre for Population Neuroscience and Precision Medicine (PONS) |
Organisation | University of Cambridge |
Country | United Kingdom |
Sector | Academic/University |
PI Contribution | The Centre for Population Neuroscience and Precision Medicine (PONS) aims at establishing and analysing big neuroimaging genetic datasets to precisely identify brain mechanisms underlying behaviour, and their genetic and environmental mediators, thus enabling prediction and stratification of mental disorders. The generation of well-characterised large scale databases internationally, the advent of deep phenotyping through biological assessments, including neuroimaging and -omics technologies, and the development of novel computer science and statistical tools to relate and analyse different data levels enable powerful new solutions to elucidate the biological basis of dysfunctional behaviour and mental disorders in its environmental context on a population-wide and global scale. |
Collaborator Contribution | To realize this potential PONS brings together an interdisciplinary group of world leading clinical and basic researchers. The Centre is led by Gunter Schumann, Chair in Biological Psychiatry at the Social, Genetic & Developmental Psychiatry Centre (MRC). Main researchers involved in the PONS Centre include Gareth Barker, Professor of Magnetic Resonance Imaging (Centre for Neuroimaging Science), Ted Barker, Reader in Developmental Psychopathology (Dept. of Psychology), Sylvane Desrivieres, Reader in Genetics (MRC-SGDP Centre), Sukhwinder Shergill, Professor of Psychiatry (Dept. of Psychosis Studies), Ulrike Schmidt, Professor of Eating Disorders and Head of Department of Psychological Medicine), Steve Williams, Professor of Imaging Sciences and Director of the Centre for Neuroimaging Science. To complement the strengths of the research team at IoPPN we have established close links with leading biomathematicians and computer scientists at the Institute of Science and Technology of Brain-like Intelligence (ISTBI) at Fudan University, Shanghai, led by Professor Jianfeng Feng. ISTBI develops new theories of artificial intelligence inspired and developed from neuroscience that will be applied to computer science and medicine. |
Impact | Multi-disciplinary collaboration that has resulted in several publications since summer 2017 (see website https://www.kcl.ac.uk/ioppn/research/centres/pons/about.aspx) |
Start Year | 2017 |
Description | Centre for Population Neuroscience and Precision Medicine (PONS) |
Organisation | University of Nottingham |
Country | United Kingdom |
Sector | Academic/University |
PI Contribution | The Centre for Population Neuroscience and Precision Medicine (PONS) aims at establishing and analysing big neuroimaging genetic datasets to precisely identify brain mechanisms underlying behaviour, and their genetic and environmental mediators, thus enabling prediction and stratification of mental disorders. The generation of well-characterised large scale databases internationally, the advent of deep phenotyping through biological assessments, including neuroimaging and -omics technologies, and the development of novel computer science and statistical tools to relate and analyse different data levels enable powerful new solutions to elucidate the biological basis of dysfunctional behaviour and mental disorders in its environmental context on a population-wide and global scale. |
Collaborator Contribution | To realize this potential PONS brings together an interdisciplinary group of world leading clinical and basic researchers. The Centre is led by Gunter Schumann, Chair in Biological Psychiatry at the Social, Genetic & Developmental Psychiatry Centre (MRC). Main researchers involved in the PONS Centre include Gareth Barker, Professor of Magnetic Resonance Imaging (Centre for Neuroimaging Science), Ted Barker, Reader in Developmental Psychopathology (Dept. of Psychology), Sylvane Desrivieres, Reader in Genetics (MRC-SGDP Centre), Sukhwinder Shergill, Professor of Psychiatry (Dept. of Psychosis Studies), Ulrike Schmidt, Professor of Eating Disorders and Head of Department of Psychological Medicine), Steve Williams, Professor of Imaging Sciences and Director of the Centre for Neuroimaging Science. To complement the strengths of the research team at IoPPN we have established close links with leading biomathematicians and computer scientists at the Institute of Science and Technology of Brain-like Intelligence (ISTBI) at Fudan University, Shanghai, led by Professor Jianfeng Feng. ISTBI develops new theories of artificial intelligence inspired and developed from neuroscience that will be applied to computer science and medicine. |
Impact | Multi-disciplinary collaboration that has resulted in several publications since summer 2017 (see website https://www.kcl.ac.uk/ioppn/research/centres/pons/about.aspx) |
Start Year | 2017 |
Description | Centre for Population Neuroscience and Precision Medicine (PONS) |
Organisation | University of Southampton |
Country | United Kingdom |
Sector | Academic/University |
PI Contribution | The Centre for Population Neuroscience and Precision Medicine (PONS) aims at establishing and analysing big neuroimaging genetic datasets to precisely identify brain mechanisms underlying behaviour, and their genetic and environmental mediators, thus enabling prediction and stratification of mental disorders. The generation of well-characterised large scale databases internationally, the advent of deep phenotyping through biological assessments, including neuroimaging and -omics technologies, and the development of novel computer science and statistical tools to relate and analyse different data levels enable powerful new solutions to elucidate the biological basis of dysfunctional behaviour and mental disorders in its environmental context on a population-wide and global scale. |
Collaborator Contribution | To realize this potential PONS brings together an interdisciplinary group of world leading clinical and basic researchers. The Centre is led by Gunter Schumann, Chair in Biological Psychiatry at the Social, Genetic & Developmental Psychiatry Centre (MRC). Main researchers involved in the PONS Centre include Gareth Barker, Professor of Magnetic Resonance Imaging (Centre for Neuroimaging Science), Ted Barker, Reader in Developmental Psychopathology (Dept. of Psychology), Sylvane Desrivieres, Reader in Genetics (MRC-SGDP Centre), Sukhwinder Shergill, Professor of Psychiatry (Dept. of Psychosis Studies), Ulrike Schmidt, Professor of Eating Disorders and Head of Department of Psychological Medicine), Steve Williams, Professor of Imaging Sciences and Director of the Centre for Neuroimaging Science. To complement the strengths of the research team at IoPPN we have established close links with leading biomathematicians and computer scientists at the Institute of Science and Technology of Brain-like Intelligence (ISTBI) at Fudan University, Shanghai, led by Professor Jianfeng Feng. ISTBI develops new theories of artificial intelligence inspired and developed from neuroscience that will be applied to computer science and medicine. |
Impact | Multi-disciplinary collaboration that has resulted in several publications since summer 2017 (see website https://www.kcl.ac.uk/ioppn/research/centres/pons/about.aspx) |
Start Year | 2017 |
Description | Centre for Population Neuroscience and Precision Medicine (PONS) |
Organisation | University of Southern California |
Country | United States |
Sector | Academic/University |
PI Contribution | The Centre for Population Neuroscience and Precision Medicine (PONS) aims at establishing and analysing big neuroimaging genetic datasets to precisely identify brain mechanisms underlying behaviour, and their genetic and environmental mediators, thus enabling prediction and stratification of mental disorders. The generation of well-characterised large scale databases internationally, the advent of deep phenotyping through biological assessments, including neuroimaging and -omics technologies, and the development of novel computer science and statistical tools to relate and analyse different data levels enable powerful new solutions to elucidate the biological basis of dysfunctional behaviour and mental disorders in its environmental context on a population-wide and global scale. |
Collaborator Contribution | To realize this potential PONS brings together an interdisciplinary group of world leading clinical and basic researchers. The Centre is led by Gunter Schumann, Chair in Biological Psychiatry at the Social, Genetic & Developmental Psychiatry Centre (MRC). Main researchers involved in the PONS Centre include Gareth Barker, Professor of Magnetic Resonance Imaging (Centre for Neuroimaging Science), Ted Barker, Reader in Developmental Psychopathology (Dept. of Psychology), Sylvane Desrivieres, Reader in Genetics (MRC-SGDP Centre), Sukhwinder Shergill, Professor of Psychiatry (Dept. of Psychosis Studies), Ulrike Schmidt, Professor of Eating Disorders and Head of Department of Psychological Medicine), Steve Williams, Professor of Imaging Sciences and Director of the Centre for Neuroimaging Science. To complement the strengths of the research team at IoPPN we have established close links with leading biomathematicians and computer scientists at the Institute of Science and Technology of Brain-like Intelligence (ISTBI) at Fudan University, Shanghai, led by Professor Jianfeng Feng. ISTBI develops new theories of artificial intelligence inspired and developed from neuroscience that will be applied to computer science and medicine. |
Impact | Multi-disciplinary collaboration that has resulted in several publications since summer 2017 (see website https://www.kcl.ac.uk/ioppn/research/centres/pons/about.aspx) |
Start Year | 2017 |
Description | Centre for Population Neuroscience and Precision Medicine (PONS) |
Organisation | University of Toronto |
Country | Canada |
Sector | Academic/University |
PI Contribution | The Centre for Population Neuroscience and Precision Medicine (PONS) aims at establishing and analysing big neuroimaging genetic datasets to precisely identify brain mechanisms underlying behaviour, and their genetic and environmental mediators, thus enabling prediction and stratification of mental disorders. The generation of well-characterised large scale databases internationally, the advent of deep phenotyping through biological assessments, including neuroimaging and -omics technologies, and the development of novel computer science and statistical tools to relate and analyse different data levels enable powerful new solutions to elucidate the biological basis of dysfunctional behaviour and mental disorders in its environmental context on a population-wide and global scale. |
Collaborator Contribution | To realize this potential PONS brings together an interdisciplinary group of world leading clinical and basic researchers. The Centre is led by Gunter Schumann, Chair in Biological Psychiatry at the Social, Genetic & Developmental Psychiatry Centre (MRC). Main researchers involved in the PONS Centre include Gareth Barker, Professor of Magnetic Resonance Imaging (Centre for Neuroimaging Science), Ted Barker, Reader in Developmental Psychopathology (Dept. of Psychology), Sylvane Desrivieres, Reader in Genetics (MRC-SGDP Centre), Sukhwinder Shergill, Professor of Psychiatry (Dept. of Psychosis Studies), Ulrike Schmidt, Professor of Eating Disorders and Head of Department of Psychological Medicine), Steve Williams, Professor of Imaging Sciences and Director of the Centre for Neuroimaging Science. To complement the strengths of the research team at IoPPN we have established close links with leading biomathematicians and computer scientists at the Institute of Science and Technology of Brain-like Intelligence (ISTBI) at Fudan University, Shanghai, led by Professor Jianfeng Feng. ISTBI develops new theories of artificial intelligence inspired and developed from neuroscience that will be applied to computer science and medicine. |
Impact | Multi-disciplinary collaboration that has resulted in several publications since summer 2017 (see website https://www.kcl.ac.uk/ioppn/research/centres/pons/about.aspx) |
Start Year | 2017 |
Description | Centre for Population Neuroscience and Precision Medicine (PONS) |
Organisation | University of Vermont |
Country | United States |
Sector | Academic/University |
PI Contribution | The Centre for Population Neuroscience and Precision Medicine (PONS) aims at establishing and analysing big neuroimaging genetic datasets to precisely identify brain mechanisms underlying behaviour, and their genetic and environmental mediators, thus enabling prediction and stratification of mental disorders. The generation of well-characterised large scale databases internationally, the advent of deep phenotyping through biological assessments, including neuroimaging and -omics technologies, and the development of novel computer science and statistical tools to relate and analyse different data levels enable powerful new solutions to elucidate the biological basis of dysfunctional behaviour and mental disorders in its environmental context on a population-wide and global scale. |
Collaborator Contribution | To realize this potential PONS brings together an interdisciplinary group of world leading clinical and basic researchers. The Centre is led by Gunter Schumann, Chair in Biological Psychiatry at the Social, Genetic & Developmental Psychiatry Centre (MRC). Main researchers involved in the PONS Centre include Gareth Barker, Professor of Magnetic Resonance Imaging (Centre for Neuroimaging Science), Ted Barker, Reader in Developmental Psychopathology (Dept. of Psychology), Sylvane Desrivieres, Reader in Genetics (MRC-SGDP Centre), Sukhwinder Shergill, Professor of Psychiatry (Dept. of Psychosis Studies), Ulrike Schmidt, Professor of Eating Disorders and Head of Department of Psychological Medicine), Steve Williams, Professor of Imaging Sciences and Director of the Centre for Neuroimaging Science. To complement the strengths of the research team at IoPPN we have established close links with leading biomathematicians and computer scientists at the Institute of Science and Technology of Brain-like Intelligence (ISTBI) at Fudan University, Shanghai, led by Professor Jianfeng Feng. ISTBI develops new theories of artificial intelligence inspired and developed from neuroscience that will be applied to computer science and medicine. |
Impact | Multi-disciplinary collaboration that has resulted in several publications since summer 2017 (see website https://www.kcl.ac.uk/ioppn/research/centres/pons/about.aspx) |
Start Year | 2017 |
Description | Global Imaging Genetics of Adolescents (GIGA) |
Organisation | Beijing Normal University |
Country | China |
Sector | Academic/University |
PI Contribution | The Global Imaging Genetics of Adolescents initiative is a collaboration between several major cohorts in UK, Europe, USA, China, and India who investigate health outcomes in children and adolescents via behavioral and imaging genetic studies. Its aim is to enable comparative research on brain development and behaviour in different cultures, environments and ethnic groups, both in industrialised nations and low and medium income countries (LMIC). To this end GIGA is working towards harmonised data acquisition, retrieval and analysis. |
Collaborator Contribution | The GIGA consortium consists of cohorts of up to 220.000 young people aged 6-25 years, including more than 20.000 neuroimaging scans in Europe, India, China, South Africa and the United States , the largest mental health consortium of neuroimaging and environmental data of young people worldwide. |
Impact | Both psychopathology and brain function are influenced by environmental factors, therefore it is necessary for precision medicine to be applicable in a global setting that it takes into account local environmental determinants of mental illness. For this reason we have established the consortium on Global Imaging Genetics in Adolescents (GIGA) that brings together samples Europe, India, China and the U.S. to comparatively investigate environmental effects on brain development and behaviour in a global context. We have started several collaborative projects and expect the first research outputs in the form of publications in 2019. |
Start Year | 2016 |
Description | Global Imaging Genetics of Adolescents (GIGA) |
Organisation | Charité - University of Medicine Berlin |
Country | Germany |
Sector | Academic/University |
PI Contribution | The Global Imaging Genetics of Adolescents initiative is a collaboration between several major cohorts in UK, Europe, USA, China, and India who investigate health outcomes in children and adolescents via behavioral and imaging genetic studies. Its aim is to enable comparative research on brain development and behaviour in different cultures, environments and ethnic groups, both in industrialised nations and low and medium income countries (LMIC). To this end GIGA is working towards harmonised data acquisition, retrieval and analysis. |
Collaborator Contribution | The GIGA consortium consists of cohorts of up to 220.000 young people aged 6-25 years, including more than 20.000 neuroimaging scans in Europe, India, China, South Africa and the United States , the largest mental health consortium of neuroimaging and environmental data of young people worldwide. |
Impact | Both psychopathology and brain function are influenced by environmental factors, therefore it is necessary for precision medicine to be applicable in a global setting that it takes into account local environmental determinants of mental illness. For this reason we have established the consortium on Global Imaging Genetics in Adolescents (GIGA) that brings together samples Europe, India, China and the U.S. to comparatively investigate environmental effects on brain development and behaviour in a global context. We have started several collaborative projects and expect the first research outputs in the form of publications in 2019. |
Start Year | 2016 |
Description | Global Imaging Genetics of Adolescents (GIGA) |
Organisation | Fudan University |
Country | China |
Sector | Academic/University |
PI Contribution | The Global Imaging Genetics of Adolescents initiative is a collaboration between several major cohorts in UK, Europe, USA, China, and India who investigate health outcomes in children and adolescents via behavioral and imaging genetic studies. Its aim is to enable comparative research on brain development and behaviour in different cultures, environments and ethnic groups, both in industrialised nations and low and medium income countries (LMIC). To this end GIGA is working towards harmonised data acquisition, retrieval and analysis. |
Collaborator Contribution | The GIGA consortium consists of cohorts of up to 220.000 young people aged 6-25 years, including more than 20.000 neuroimaging scans in Europe, India, China, South Africa and the United States , the largest mental health consortium of neuroimaging and environmental data of young people worldwide. |
Impact | Both psychopathology and brain function are influenced by environmental factors, therefore it is necessary for precision medicine to be applicable in a global setting that it takes into account local environmental determinants of mental illness. For this reason we have established the consortium on Global Imaging Genetics in Adolescents (GIGA) that brings together samples Europe, India, China and the U.S. to comparatively investigate environmental effects on brain development and behaviour in a global context. We have started several collaborative projects and expect the first research outputs in the form of publications in 2019. |
Start Year | 2016 |
Description | Global Imaging Genetics of Adolescents (GIGA) |
Organisation | Imperial College London |
Country | United Kingdom |
Sector | Academic/University |
PI Contribution | The Global Imaging Genetics of Adolescents initiative is a collaboration between several major cohorts in UK, Europe, USA, China, and India who investigate health outcomes in children and adolescents via behavioral and imaging genetic studies. Its aim is to enable comparative research on brain development and behaviour in different cultures, environments and ethnic groups, both in industrialised nations and low and medium income countries (LMIC). To this end GIGA is working towards harmonised data acquisition, retrieval and analysis. |
Collaborator Contribution | The GIGA consortium consists of cohorts of up to 220.000 young people aged 6-25 years, including more than 20.000 neuroimaging scans in Europe, India, China, South Africa and the United States , the largest mental health consortium of neuroimaging and environmental data of young people worldwide. |
Impact | Both psychopathology and brain function are influenced by environmental factors, therefore it is necessary for precision medicine to be applicable in a global setting that it takes into account local environmental determinants of mental illness. For this reason we have established the consortium on Global Imaging Genetics in Adolescents (GIGA) that brings together samples Europe, India, China and the U.S. to comparatively investigate environmental effects on brain development and behaviour in a global context. We have started several collaborative projects and expect the first research outputs in the form of publications in 2019. |
Start Year | 2016 |
Description | Global Imaging Genetics of Adolescents (GIGA) |
Organisation | National Institute of Mental Health and Neurosciences |
Country | India |
Sector | Hospitals |
PI Contribution | The Global Imaging Genetics of Adolescents initiative is a collaboration between several major cohorts in UK, Europe, USA, China, and India who investigate health outcomes in children and adolescents via behavioral and imaging genetic studies. Its aim is to enable comparative research on brain development and behaviour in different cultures, environments and ethnic groups, both in industrialised nations and low and medium income countries (LMIC). To this end GIGA is working towards harmonised data acquisition, retrieval and analysis. |
Collaborator Contribution | The GIGA consortium consists of cohorts of up to 220.000 young people aged 6-25 years, including more than 20.000 neuroimaging scans in Europe, India, China, South Africa and the United States , the largest mental health consortium of neuroimaging and environmental data of young people worldwide. |
Impact | Both psychopathology and brain function are influenced by environmental factors, therefore it is necessary for precision medicine to be applicable in a global setting that it takes into account local environmental determinants of mental illness. For this reason we have established the consortium on Global Imaging Genetics in Adolescents (GIGA) that brings together samples Europe, India, China and the U.S. to comparatively investigate environmental effects on brain development and behaviour in a global context. We have started several collaborative projects and expect the first research outputs in the form of publications in 2019. |
Start Year | 2016 |
Description | Global Imaging Genetics of Adolescents (GIGA) |
Organisation | National Institutes of Health (NIH) |
Department | National Institute on Drug Abuse (NIDA) |
Country | United States |
Sector | Public |
PI Contribution | The Global Imaging Genetics of Adolescents initiative is a collaboration between several major cohorts in UK, Europe, USA, China, and India who investigate health outcomes in children and adolescents via behavioral and imaging genetic studies. Its aim is to enable comparative research on brain development and behaviour in different cultures, environments and ethnic groups, both in industrialised nations and low and medium income countries (LMIC). To this end GIGA is working towards harmonised data acquisition, retrieval and analysis. |
Collaborator Contribution | The GIGA consortium consists of cohorts of up to 220.000 young people aged 6-25 years, including more than 20.000 neuroimaging scans in Europe, India, China, South Africa and the United States , the largest mental health consortium of neuroimaging and environmental data of young people worldwide. |
Impact | Both psychopathology and brain function are influenced by environmental factors, therefore it is necessary for precision medicine to be applicable in a global setting that it takes into account local environmental determinants of mental illness. For this reason we have established the consortium on Global Imaging Genetics in Adolescents (GIGA) that brings together samples Europe, India, China and the U.S. to comparatively investigate environmental effects on brain development and behaviour in a global context. We have started several collaborative projects and expect the first research outputs in the form of publications in 2019. |
Start Year | 2016 |
Description | Global Imaging Genetics of Adolescents (GIGA) |
Organisation | Neurospin |
Country | Germany |
Sector | Private |
PI Contribution | The Global Imaging Genetics of Adolescents initiative is a collaboration between several major cohorts in UK, Europe, USA, China, and India who investigate health outcomes in children and adolescents via behavioral and imaging genetic studies. Its aim is to enable comparative research on brain development and behaviour in different cultures, environments and ethnic groups, both in industrialised nations and low and medium income countries (LMIC). To this end GIGA is working towards harmonised data acquisition, retrieval and analysis. |
Collaborator Contribution | The GIGA consortium consists of cohorts of up to 220.000 young people aged 6-25 years, including more than 20.000 neuroimaging scans in Europe, India, China, South Africa and the United States , the largest mental health consortium of neuroimaging and environmental data of young people worldwide. |
Impact | Both psychopathology and brain function are influenced by environmental factors, therefore it is necessary for precision medicine to be applicable in a global setting that it takes into account local environmental determinants of mental illness. For this reason we have established the consortium on Global Imaging Genetics in Adolescents (GIGA) that brings together samples Europe, India, China and the U.S. to comparatively investigate environmental effects on brain development and behaviour in a global context. We have started several collaborative projects and expect the first research outputs in the form of publications in 2019. |
Start Year | 2016 |
Description | Global Imaging Genetics of Adolescents (GIGA) |
Organisation | Tianjin Medical University |
Country | China |
Sector | Academic/University |
PI Contribution | The Global Imaging Genetics of Adolescents initiative is a collaboration between several major cohorts in UK, Europe, USA, China, and India who investigate health outcomes in children and adolescents via behavioral and imaging genetic studies. Its aim is to enable comparative research on brain development and behaviour in different cultures, environments and ethnic groups, both in industrialised nations and low and medium income countries (LMIC). To this end GIGA is working towards harmonised data acquisition, retrieval and analysis. |
Collaborator Contribution | The GIGA consortium consists of cohorts of up to 220.000 young people aged 6-25 years, including more than 20.000 neuroimaging scans in Europe, India, China, South Africa and the United States , the largest mental health consortium of neuroimaging and environmental data of young people worldwide. |
Impact | Both psychopathology and brain function are influenced by environmental factors, therefore it is necessary for precision medicine to be applicable in a global setting that it takes into account local environmental determinants of mental illness. For this reason we have established the consortium on Global Imaging Genetics in Adolescents (GIGA) that brings together samples Europe, India, China and the U.S. to comparatively investigate environmental effects on brain development and behaviour in a global context. We have started several collaborative projects and expect the first research outputs in the form of publications in 2019. |
Start Year | 2016 |
Description | Global Imaging Genetics of Adolescents (GIGA) |
Organisation | University of Bristol |
Country | United Kingdom |
Sector | Academic/University |
PI Contribution | The Global Imaging Genetics of Adolescents initiative is a collaboration between several major cohorts in UK, Europe, USA, China, and India who investigate health outcomes in children and adolescents via behavioral and imaging genetic studies. Its aim is to enable comparative research on brain development and behaviour in different cultures, environments and ethnic groups, both in industrialised nations and low and medium income countries (LMIC). To this end GIGA is working towards harmonised data acquisition, retrieval and analysis. |
Collaborator Contribution | The GIGA consortium consists of cohorts of up to 220.000 young people aged 6-25 years, including more than 20.000 neuroimaging scans in Europe, India, China, South Africa and the United States , the largest mental health consortium of neuroimaging and environmental data of young people worldwide. |
Impact | Both psychopathology and brain function are influenced by environmental factors, therefore it is necessary for precision medicine to be applicable in a global setting that it takes into account local environmental determinants of mental illness. For this reason we have established the consortium on Global Imaging Genetics in Adolescents (GIGA) that brings together samples Europe, India, China and the U.S. to comparatively investigate environmental effects on brain development and behaviour in a global context. We have started several collaborative projects and expect the first research outputs in the form of publications in 2019. |
Start Year | 2016 |
Description | Global Imaging Genetics of Adolescents (GIGA) |
Organisation | University of New Mexico |
Country | United States |
Sector | Academic/University |
PI Contribution | The Global Imaging Genetics of Adolescents initiative is a collaboration between several major cohorts in UK, Europe, USA, China, and India who investigate health outcomes in children and adolescents via behavioral and imaging genetic studies. Its aim is to enable comparative research on brain development and behaviour in different cultures, environments and ethnic groups, both in industrialised nations and low and medium income countries (LMIC). To this end GIGA is working towards harmonised data acquisition, retrieval and analysis. |
Collaborator Contribution | The GIGA consortium consists of cohorts of up to 220.000 young people aged 6-25 years, including more than 20.000 neuroimaging scans in Europe, India, China, South Africa and the United States , the largest mental health consortium of neuroimaging and environmental data of young people worldwide. |
Impact | Both psychopathology and brain function are influenced by environmental factors, therefore it is necessary for precision medicine to be applicable in a global setting that it takes into account local environmental determinants of mental illness. For this reason we have established the consortium on Global Imaging Genetics in Adolescents (GIGA) that brings together samples Europe, India, China and the U.S. to comparatively investigate environmental effects on brain development and behaviour in a global context. We have started several collaborative projects and expect the first research outputs in the form of publications in 2019. |
Start Year | 2016 |
Description | Global Imaging Genetics of Adolescents (GIGA) |
Organisation | University of Oxford |
Country | United Kingdom |
Sector | Academic/University |
PI Contribution | The Global Imaging Genetics of Adolescents initiative is a collaboration between several major cohorts in UK, Europe, USA, China, and India who investigate health outcomes in children and adolescents via behavioral and imaging genetic studies. Its aim is to enable comparative research on brain development and behaviour in different cultures, environments and ethnic groups, both in industrialised nations and low and medium income countries (LMIC). To this end GIGA is working towards harmonised data acquisition, retrieval and analysis. |
Collaborator Contribution | The GIGA consortium consists of cohorts of up to 220.000 young people aged 6-25 years, including more than 20.000 neuroimaging scans in Europe, India, China, South Africa and the United States , the largest mental health consortium of neuroimaging and environmental data of young people worldwide. |
Impact | Both psychopathology and brain function are influenced by environmental factors, therefore it is necessary for precision medicine to be applicable in a global setting that it takes into account local environmental determinants of mental illness. For this reason we have established the consortium on Global Imaging Genetics in Adolescents (GIGA) that brings together samples Europe, India, China and the U.S. to comparatively investigate environmental effects on brain development and behaviour in a global context. We have started several collaborative projects and expect the first research outputs in the form of publications in 2019. |
Start Year | 2016 |
Description | IMAGEN |
Organisation | Alternative Energies and Atomic Energy Commission (CEA) |
Country | France |
Sector | Public |
PI Contribution | Coordinator The IMAGEN study is a longitudinal, multi-centre functional and structural genetic-neuroimaging study of a cohort of 2000+ adolescents, studying the neurobiological basis of individual differences in brain responses to reward, punishment and emotional cues at 14, 16 and 19 years. It involves 8 recruitment centres in four European countries. |
Collaborator Contribution | See above |
Impact | see publication list |
Start Year | 2007 |
Description | IMAGEN |
Organisation | Heidelberg University |
Country | Germany |
Sector | Academic/University |
PI Contribution | Coordinator The IMAGEN study is a longitudinal, multi-centre functional and structural genetic-neuroimaging study of a cohort of 2000+ adolescents, studying the neurobiological basis of individual differences in brain responses to reward, punishment and emotional cues at 14, 16 and 19 years. It involves 8 recruitment centres in four European countries. |
Collaborator Contribution | See above |
Impact | see publication list |
Start Year | 2007 |
Description | IMAGEN |
Organisation | Humboldt University of Berlin |
Country | Germany |
Sector | Academic/University |
PI Contribution | Coordinator The IMAGEN study is a longitudinal, multi-centre functional and structural genetic-neuroimaging study of a cohort of 2000+ adolescents, studying the neurobiological basis of individual differences in brain responses to reward, punishment and emotional cues at 14, 16 and 19 years. It involves 8 recruitment centres in four European countries. |
Collaborator Contribution | See above |
Impact | see publication list |
Start Year | 2007 |
Description | IMAGEN |
Organisation | National Institute of Health and Medical Research (INSERM) |
Country | France |
Sector | Academic/University |
PI Contribution | Coordinator The IMAGEN study is a longitudinal, multi-centre functional and structural genetic-neuroimaging study of a cohort of 2000+ adolescents, studying the neurobiological basis of individual differences in brain responses to reward, punishment and emotional cues at 14, 16 and 19 years. It involves 8 recruitment centres in four European countries. |
Collaborator Contribution | See above |
Impact | see publication list |
Start Year | 2007 |
Description | IMAGEN |
Organisation | Technical University of Dresden |
Country | Germany |
Sector | Academic/University |
PI Contribution | Coordinator The IMAGEN study is a longitudinal, multi-centre functional and structural genetic-neuroimaging study of a cohort of 2000+ adolescents, studying the neurobiological basis of individual differences in brain responses to reward, punishment and emotional cues at 14, 16 and 19 years. It involves 8 recruitment centres in four European countries. |
Collaborator Contribution | See above |
Impact | see publication list |
Start Year | 2007 |
Description | IMAGEN |
Organisation | University Medical Center Hamburg-Eppendorf |
Country | Germany |
Sector | Hospitals |
PI Contribution | Coordinator The IMAGEN study is a longitudinal, multi-centre functional and structural genetic-neuroimaging study of a cohort of 2000+ adolescents, studying the neurobiological basis of individual differences in brain responses to reward, punishment and emotional cues at 14, 16 and 19 years. It involves 8 recruitment centres in four European countries. |
Collaborator Contribution | See above |
Impact | see publication list |
Start Year | 2007 |
Description | IMAGEN |
Organisation | University of Cambridge |
Country | United Kingdom |
Sector | Academic/University |
PI Contribution | Coordinator The IMAGEN study is a longitudinal, multi-centre functional and structural genetic-neuroimaging study of a cohort of 2000+ adolescents, studying the neurobiological basis of individual differences in brain responses to reward, punishment and emotional cues at 14, 16 and 19 years. It involves 8 recruitment centres in four European countries. |
Collaborator Contribution | See above |
Impact | see publication list |
Start Year | 2007 |
Description | IMAGEN |
Organisation | University of Dublin |
Country | Ireland |
Sector | Academic/University |
PI Contribution | Coordinator The IMAGEN study is a longitudinal, multi-centre functional and structural genetic-neuroimaging study of a cohort of 2000+ adolescents, studying the neurobiological basis of individual differences in brain responses to reward, punishment and emotional cues at 14, 16 and 19 years. It involves 8 recruitment centres in four European countries. |
Collaborator Contribution | See above |
Impact | see publication list |
Start Year | 2007 |
Description | IMAGEN |
Organisation | University of Nottingham |
Country | United Kingdom |
Sector | Academic/University |
PI Contribution | Coordinator The IMAGEN study is a longitudinal, multi-centre functional and structural genetic-neuroimaging study of a cohort of 2000+ adolescents, studying the neurobiological basis of individual differences in brain responses to reward, punishment and emotional cues at 14, 16 and 19 years. It involves 8 recruitment centres in four European countries. |
Collaborator Contribution | See above |
Impact | see publication list |
Start Year | 2007 |
Description | KCL-Fudan PONS Early Careers Award |
Organisation | Fudan University |
Country | China |
Sector | Academic/University |
PI Contribution | KCL (PONS) provides Fudan insight and developments in precision medicine. |
Collaborator Contribution | Fudan provides KCL (PONS) insight and developments in biostatisics. |
Impact | N/A - collaboration is new. |
Start Year | 2020 |
Description | 19th International Neuroscience Winter Conference |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Other audiences |
Results and Impact | Presentation talk of research portfolio of projects related to mental health and brain development |
Year(s) Of Engagement Activity | 2017 |
Description | 2016 Alcohol and The Nervous System |
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 | Gordon Research Conference |
Year(s) Of Engagement Activity | 2016 |
Description | 21st International Neuroscience Winter Conference |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Other audiences |
Results and Impact | Presentation talk of research portfolio of projects related to mental health and brain development |
Year(s) Of Engagement Activity | 2019 |
Description | 23th Chinese Congress of Radiology (CCR) |
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 | Integration, Innovation and Evolution |
Year(s) Of Engagement Activity | 2016 |
Description | AETIONOMY IV GENERAL ASSEMBLY |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Schools |
Results and Impact | AETIONOMY - Steering Committee, General Assembly & ESAB Meeting |
Year(s) Of Engagement Activity | 2017 |
Description | Bangalore Engagement Workshop |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Geographic Reach | Local |
Primary Audience | Schools |
Results and Impact | Collaborative workshop to discuss opportunities and begin to develop an engagement strategy, following the recent India Community of Practise and in recognition of a number of different connections with institutions in Bangalore. Outcomes of the session: map existing activity and identify ways in which King's Worldwide can support the development of research and education activity with key partners in Bangalore. |
Year(s) Of Engagement Activity | 2017 |
Description | Biostatistics Workshop |
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 | Munich, 2016 |
Year(s) Of Engagement Activity | Pre-2006 |
Description | Consortium on Vulnerability to Externalising Disorders and Addiction- study methods and application |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | The methods and research goals of the cVEDA study were presented to colleagues involved in similar research studies focusing on precision medicine and international cohorts. |
Year(s) Of Engagement Activity | 2016 |
Description | Cveda Annual investigator`s meeting |
Form Of Engagement Activity | A formal working group, expert panel or dialogue |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Study participants or study members |
Results and Impact | Annual investigator`s meeting in Bangalore |
Year(s) Of Engagement Activity | 2018 |
Description | Educational Day in India |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Postgraduate students |
Results and Impact | The cVEDA consortium has agreed to invest in academic & research training for young scholars in psychiatry and related fields. Under this initiative we are organising a half-day educational programme conducted at NIMHANS, Bangalore, from 11:00 am- 4:00 pm on March 11th. The theme was 'basic concepts in genetics and imaging research and their applications in the behavioural sciences'. Postgraduate students in Psychiatry, molecular biology, radiology and neurology participated in this programme. We invited distinguished scientists and academicians from the US, Europe, and the UK to speak about psychiatry, imaging and genetics . As MD students in India typically get little exposure to advanced research methods in imaging and genetics, this was a unique opportunity for young aspiring postgraduate students to listen to experts in the field. |
Year(s) Of Engagement Activity | 2017 |
Description | Global Imaging Genetics in Adolescents - Consortium Meeting |
Form Of Engagement Activity | A formal working group, expert panel or dialogue |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Schools |
Results and Impact | Annual GIGA Consortium Meeting |
Year(s) Of Engagement Activity | 2017 |
Description | Global Imaging Genetics in Adolescents - Consortium Meeting |
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 | Annual GIGA Consortium Meeting June 2018 |
Year(s) Of Engagement Activity | 2018 |
Description | Global Imaging Genetics in Adolescents - Consortium Meeting |
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 | Annual GIGA Consortium Meeting |
Year(s) Of Engagement Activity | 2019 |
Description | HBP Meeting |
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 | Collaboration meetings and presentation in "Precision medicine and global mental health" related to HBP |
Year(s) Of Engagement Activity | 2019 |
Description | HBP Meetings in Aachen/Juelich |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Schools |
Results and Impact | Collaboration meetings and presentation in "Precision medicine and global mental health" related to HBP |
Year(s) Of Engagement Activity | 2017 |
Description | IMAGEN Annual Consortium Meeting |
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 | Annual Recruitment progress meeting of the IMAGEN Consortium |
Year(s) Of Engagement Activity | 2019 |
Description | IMAGEN Annual Consortium Meeting |
Form Of Engagement Activity | A formal working group, expert panel or dialogue |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Schools |
Results and Impact | Annual Recruitment progress meeting of the IMAGEN Consortium |
Year(s) Of Engagement Activity | 2017 |
Description | International conference for machine learning (ICML) |
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 | Workshop on the use of machine leaning techniques to address big data analysis. |
Year(s) Of Engagement Activity | 2017 |
Description | Invited talk for National Institute of Developmental Psychiatry/High Risk Cohort Study on population neuroscience - 2nd edition (UFRGS/USP/UNIFESP- Sao Paolo, Brazil) |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | 100+ international researchers and students attended this conference to learn about population neuroscience as well as how to do collaborative research both nationally and internationally. Discussion about cVEDA and building international cohorts led to future ideas of collaboration, and how to conduct imaging genetic studies on adolescents. |
Year(s) Of Engagement Activity | 2016 |
Description | PONS center launch event |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | The PONS center launch was celebrated on 28th and 29th June 2018 where leading expert presented and discussed current research in precision medicine in psychiatry and its role for global mental health. |
Year(s) Of Engagement Activity | 2018 |
Description | Panel, Winter Conference on Brain Research |
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 | Neurobehavioral, Neuroimmune and Neuroendocrine Mechanisms of Ethanol Dependence |
Year(s) Of Engagement Activity | 2017 |
Description | Plenary Lecture, Hungarian Society for Psychiatry |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | Psychiatric Research in Europe: Policy and Practice |
Year(s) Of Engagement Activity | 2016 |
Description | Plenary Lecture, Turkish Society for Psychiatry |
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 | International research networks in imaging genetics: developing imaging predictors and neurobehavioural phenotypes for externalising disorders Meet the experst session- Conversation with young psychiatrists and residents who have interest in research... Research perspectives and opportunities in Europe, US and other regions of the world |
Year(s) Of Engagement Activity | 2016 |
Description | Presentation at BAP Summer Meeting 2019 Manchester |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | Presentation at British Association for Psychopharmacology Summer Meeting 2019 in Manchester |
Year(s) Of Engagement Activity | 2019 |
Description | Presentation at National Institute on Drug Abuse (NIDA) at National Institute of Health (Washington DC, USA) |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Professional Practitioners |
Results and Impact | Gave a lecture on the goals of cVEDA and international collaborations, which sparked further discussion of collaborative research. |
Year(s) Of Engagement Activity | 2017 |
Description | WPA World Congress of Psychiatry |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Other audiences |
Results and Impact | WPA Presentation |
Year(s) Of Engagement Activity | 2017 |
Description | Workshop on China-Europe-India Network of Large Cohorts of Brain and Behavior |
Form Of Engagement Activity | A talk or presentation |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Schools |
Results and Impact | Large Cohorts of Brain and Behavior - gave presentation on rationale for large cohorts and shared data analyses highlighting the value of large cohorts for public health and society success |
Year(s) Of Engagement Activity | 2017 |
Description | Workshop: Remote urbanisation sensing and mental health |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Industry/Business |
Results and Impact | Train satellite data analysts and develop machine learning methods for image classification of built-up land cover established to include relevant rural parameters that relate to mental health. |
Year(s) Of Engagement Activity | 2017 |
Description | cvEDA Annual Investigators` Meeting |
Form Of Engagement Activity | A formal working group, expert panel or dialogue |
Part Of Official Scheme? | No |
Geographic Reach | International |
Primary Audience | Schools |
Results and Impact | Annual investigator`s meeting in Kolkata and Bangalore followed by workshops |
Year(s) Of Engagement Activity | 2017 |