How does auditory experience shape neural sensitivity to acoustic events? Non-invasive investigations in animal models.

Lead Research Organisation: University College London
Department Name: Ear Institute

Abstract

The ability to detect and respond quickly to changes in the environment, for example, the appearance, disappearance or movement of an object, impacts significantly on survival. Detecting changes in the acoustic environment is critical to this process; we often rely on our hearing in the dark or in visually-cluttered environments, and for events that occur beyond the field of vision. Because detecting acoustic changes is such a basic and vital ability, and since modern environments are characterized by 'noise pollution' or competing sources of acoustic information - the need to detect important events within a mixture of sounds, is increasingly important. The present proposal seeks to understand how the auditory brain's sensitivity to the unfolding acoustic environment is shaped by previous long-term exposure changes, and the degree to which this sensitivity is mutable during adulthood. Inherent difficulties in assessing the nature of brain mechanisms underlying sensitivity to acoustic changes means that the questions posed in the current proposal have never been, to the best of our knowledge, addressed experimentally. One reason for this deficit lies in the need to control carefully developmental experience and exposure to sound patterns, a requirement that renders investigations in human subjects almost impossible. So too, addressing such questions in animal models is limited by the difficulties that arise in evaluating the results of exposure/training, coupled with a lack of basic knowledge concerning the sites (i.e. which brain areas) to which electrophysiological recordings might be directed (or indeed how detecting acoustic changes relates to activity at the level of single neurons). Here, we propose a method of assessing the long term plasticity of mechanisms underlying detection of acoustic changes by means of non-invasive, gross brain activity - measurements in animal models (mice and guinea pigs), for which behavioral relevance and developmental experience can be carefully controlled. To measure gross brain activity we will employ a small animal MEG (magneto-encephalography) device. Relative to other means of measuring brain responses from small animals, such as EEG (electro-encephalography), this emerging technology is entirely non-invasive, increasing the efficiency of measuring event-related responses, and facilitating repeated measurements from individual animals. In the first experiment proposed, we will examine the effects of training in adulthood on subsequent neural sensitivity to change. Two groups of animals will be exposed to an identical auditory stimulus, containing changes in two sound features (pitch and timbre). One group will be trained to respond to pitch changes, while ignoring timbre changes, and vice versa for the other group. A control group will be exposed to the same stimuli but without a training element. Change-evoked brain responses (measured using MEG) will then be recorded from non-behaving anesthetized animals to determine whether, and in which manner, such training alters change-detection mechanisms in auditory cortex, A second experiment will investigate the extent to which passive exposure to sound during development, shapes neural representations of change detection in adulthood. Different groups of animals will be raised in specifically controlled sound environments such that the statistics of sound features across groups will be identical, but the statistics of changes (the frequency of changes encountered) different. Following exposure, MEG responses to acoustic changes will be measured. Differences in response patterns between groups will be specifically attributable to the differential exposure of the groups to patterns of changes. The outcome of this experiment will reveal the means by which statistics of acoustic changes shape cortical responses, and which changes (rare or commonly-occurring) are dominant in this process.

Technical Summary

This project is focused on understanding how the brain's sensitivity to the unfolding acoustic environment is shaped by exposure to specific change statistics during development, and the degree to which this sensitivity is mutable during adulthood. Whilst prior research exists examining the effects of prolonged exposure to sound on the neural representation of simple acoustic features, to the best of our knowledge, no study has ever investigated the long-term plasticity of change-detection mechanisms. To assess such long term plasticity, we will measure MEG (magneto-encephalography) gross brain activity in animal models (mice and guinea pigs), for whom behavioral relevance and developmental experience can be carefully controlled. In the first experiment, we will study the effects of training in adulthood on subsequent sensitivity to acoustic changes. Two groups of animals will be exposed to identical auditory stimuli, containing changes in two sound features (pitch and timbre). One group will be trained to respond to pitch changes, while ignoring timbre changes, and the other vice versa. A control group will be exposed to the same stimuli, but without training. To assess effects of training, MEG responses to acoustic changes will be recorded from non-behaving anesthetized animals. A second experiment will investigate how passive exposure during development shapes change sensitivity. Different groups of animals will be raised in specifically controlled sound environments such that only the statistics of changes (the frequency of changes encountered) differ between groups. Post-exposure, MEG responses to acoustic changes will be measured. The outcome of this experiment will reveal the means by which statistics of acoustic changes shape cortical responses, and which changes (rare or commonly-occurring) dominate this process.

Planned Impact

The ability to detect and respond quickly to a change in the environment, such as the appearance, disappearance or movement of an object, is of great importance to survival and auditory change detection, the topic of this grant proposal, plays a pivotal role in this process. We rely on auditory change detection in visually cluttered environments, in the darkness, and for events outside of the field of vision. Because auditory change detection is such a basic and vital ability, and because modern environments are characterized by 'acoustic pollution' and an increased need to detect important events out of a mixture of many ongoing sources, understanding the factors that affect auditory change sensitivity will have wide-ranging implications for the public: 1.Understanding how exposure to acoustic change shapes the developing brain, and how prolong periods of hearing loss (where such 'reshaping' does not occur or is compromised) affect this process, would be particularly important for therapies that seek to reverse hearing loss. 2.Beyond the field of audiology, understanding the processes that govern change detection plasticity may provide insight into diseases such as dyslexia and schizophrenia, which are often characterized by abnormal change detection (e.g. Naatanen, R. International Journal of Audiology 2008; 47 (Suppl. 2):S16-S20). 3.Understanding how training affects the brain's sensitivity to change would significantly benefit the design of training programs for professionals (e.g. air traffic controllers, pilots, operating room monitors) who must cope with hectic auditory environments where the detection of certain auditory events is crucial. Understanding the underlying brain processes may be of use for technological applications involving audio signal process, brain-machine interfaces, etc. To insure that these beneficiaries indeed benefit from this research we will: 1.The UCL Ear Institute is allied with the Royal National Throat Nose and Ear Hospital (the only specialist ENT hospital in the UK), and is thus in a unique position to explore clinical applications of our results. Our partner in France (LPP, Laboratoire de Psychologie de la Perception, Paris, of which our collaborator Dr de Cheveigne is a member) animates an extensive clinical research network (entitled GRAEC, groupement de recherche en audiologie expérimentale et clinique) that is supported by public, industrial and private partners. The UCL Ear Institute and the LPP/GRAEC are deeply involved in training programs in audiology, insuring rapid dissemination of any useful results. 2.The wider implications of this research will be monitored by the three Principal Investigators, the Researcher Co-Investigator, and the Project Collaborator, and communicated to the public through public lectures and communications with the media. UCL has an established media relations team, designed to facilitate, encourage and promote the dissemination of original research to the public and we plan to take full advantage of these tools. 3.The UCL Ear Institute has strong connections with UK institutions involved in raising public awareness of issues related to hearing. For example, the three Principal Investigators participated in the recent 'Hear Here!' program sponsored by the Royal Philharmonic Society in association with Classic FM radio and Deafness Research UK. If appropriate, we will seek a formal partnership with such institutions

Publications

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Christianson GB (2011) Depth-dependent temporal response properties in core auditory cortex. in The Journal of neuroscience : the official journal of the Society for Neuroscience

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Christianson GB (2012) Stimulus-specific adaptation measured in the guinea pig using magnetoencephalography. in International Conference on the Auditory Cortex

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Christianson GB (2012) Stimulus-specific adaptation measured in the guinea pig using magnetoencephalography. in Association for Research in Otolaryngology Midwinter Meeting

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De Cheveigne A (2010) Non-invasive MEG measurement of cortical responses to sound in guinea pig and mouse. in Association for Research in Otolaryngology Midwinter Meeting

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De Cheveigné A (2010) Time-shift denoising source separation. in Journal of neuroscience methods

 
Description Magnetoencephalography (MEG) is a non-invasive method for measuring brain activity through detection of the magnetic field fluctuations associated with electrical activity in neuronal populations. MEG is widely used for studies of auditory brain activity in human subjects, because the measurements can be made with higher temporal precision than is possible with magnetic resonance imaging (MRI) and better spatial precision than is typical of electroencephalography (EEG). In this project, we performed the first non-invasive MEG measurements of auditory brain activity in a rodent. We pioneered the use of a novel small-animal MEG machine donated to UCL by our collaborators at the Kanazawa Institute of Technology in Japan, and we developed new algorithms for de-noising magnetoencephalographic brain signals with our collaborators at the Centre National de la Recherche Scientifique in France. With these new methodologies, we demonstrated that (1) auditory evoked MEG signals qualitatively similar to those observed in human MEG studies can be detected non-invasively in the guinea pig using small-animal MEG; (2) evoked MEG responses to tones in the guinea pig show very rapid reduction in magnitude with tone repetition, which is largely complete by the second tone in a repeated series; and (3) changes in tone frequency produce characteristic alterations in evoked MEG responses in guinea pigs that resemble those previously observed in awake humans using a similar stimulus paradigm. Importantly, our work indicates that alterations in MEG responses following unexpected changes in stimulus features, which are often interpreted in human studies as evidence for high-level cognitive processes such as change detection, may instead arise from low-level and largely automatic mechanisms of sensory adaptation. This research has thus established a bridge between non-invasive MEG studies of auditory perception in human subjects and previous invasive electrophysiological studies of auditory adaptation in small-animal models. In addition, the project has launched two international research collaborations, and provided proofs-of-concept of both small-animal MEG technology and novel algorithms for de-noising magnetoencephalographic signals.
Exploitation Route This research has established small-animal MEG technology as a viable non-invasive method for studying auditory brain activity in small rodents, with immediate and/or potential impact on beneficiaries in multiple sectors including information technology, electronics, manufacturing, industrial biotechnology, medical biotechnology, and the pharmaceutical industry. Information technology benefits arise from the development of novel algorithms for de-noising biological signals; software developed in the course of this project is freely available online (http://audition.ens.fr/adc/NoiseTools/) and is already being used in other magnetoencephalography projects in the UK and elsewhere. Electronics, manufacturing and industrial biotechnology impacts derive from the demonstration that small-animal MEG technology can be used effectively for measuring evoked sensory responses in the rodent brain; this validation provides justification for further development and manufacturing of the small-animal MEG sensor electronics and hardware by our collaborators in Japan. Furthermore, in the longer term, we anticipate that the findings will also be taken up by the medical biotechnology and pharmaceutical industries. Our research has shown that auditory brain signals similar to the "mismatch negativity" in human studies --- an auditory brain response to stimulus change --- can be measured non-invasively using MEG in small animals. Abnormalities in the mismatch negativity are one of the most reliable endophenotypes of schizophrenia in humans; therefore, our work has obvious potential to be taken forward into pharmaceutical testing of novel drugs using schizophrenia endophenotypes in animal models. Finally, the project has also had a major impact on academic beneficiaries, not only through publications and conference presentations, but also through development of continuing collaborations between University College London in the UK, the Centre National de la Recherche Scientifique in France, and Kanazawa Institute of Technology in Japan. The results of the project and the academic impact of the international collaboration were highlighted in the International Meeting on the Mismatch Negativity in September 2015, where we were invited to give a symposium presentation on the results of this project to an audience of academic scientists, clinicians, and researchers from the pharmaceutical industry.
Sectors Digital/Communication/Information Technologies (including Software),Electronics,Healthcare,Manufacturing, including Industrial Biotechology,Pharmaceuticals and Medical Biotechnology

URL http://jn.physiology.org/content/112/12/3053.long
 
Description The findings of this project have been used as a validation of small-animal MEG technology in brain research, motivating further development of the technology within the electronics, manufacturing and biotechnology industries. In addition, novel methods for de-noising biological signals developed in this project have been made freely available online, so that these techniques can be maximally exploited by both academic and non-academic beneficiaries for economic and societal benefit.
First Year Of Impact 2010
Sector Digital/Communication/Information Technologies (including Software),Electronics,Manufacturing, including Industrial Biotechology
Impact Types Cultural,Societal,Economic

 
Description BRC Deafness and Hearing Theme
Amount £2,700,000 (GBP)
Organisation National Institute for Health Research 
Department NIHR Biomedical Research Centre
Sector Public
Country United Kingdom
Start 04/2017 
End 03/2020
 
Description Evaluating probabilistic inferential models of learnt sound representations in auditory cortex
Amount £202,119 (GBP)
Funding ID BB/X013391/1 
Organisation Biotechnology and Biological Sciences Research Council (BBSRC) 
Sector Public
Country United Kingdom
Start 02/2023 
End 03/2025
 
Description Project Grant - Responsive Mode
Amount £559,781 (GBP)
Funding ID BB/P007201/1 
Organisation Biotechnology and Biological Sciences Research Council (BBSRC) 
Sector Public
Country United Kingdom
Start 06/2017 
End 06/2020
 
Title Joint Decorrelation: A Tool for Multichannel Data Analysis 
Description In the course of a project funded by BBSRC grant BB/H006958/1, on which Professor Alain de Cheveigne was a named collaborator, he developed a versatile approach for the analysis of multichannel data such as the brain signals measured with small-animal MEG in the funded project. Data from different sensors are combined linearly with weights that are chosen to provide optimal signal-to-noise ratio. Signal and noise can be variably defined to match the specific need, e.g. reproducibility over trials, frequency content, or differences between stimulus conditions. This method can be used to remove power line or cardiac interference, enhance stimulus-evoked or stimulus-induced activity, isolate narrow-band cortical activity, and so on. The approach involves decorrelating both the original and filtered data by joint diagonalization of their covariance matrices. In addition to its flexibility and effectiveness, a major appeal of the method is that it is easy to understand. 
Type Of Material Physiological assessment or outcome measure 
Year Produced 2010 
Provided To Others? Yes  
Impact Two peer-reviewed research publications: de Cheveigne A and Parra LC (2014). Joint decorrelation, a versatile tool for multichannel data analysis. Neuroimage 98:487-505. Christianson GB, Chait M, de Cheveigne A and Linden JF (2014). Auditory evoked fields measured non-invasively with small-animal MEG reveal rapid repetition suppression in the guinea pig. Journal of Neurophysiology, in press. DOI: 10.1152/jn.00189.2014. 
URL http://audition.ens.fr/adc/NoiseTools/
 
Title Non-invasive Auditory Brain Response Measurement with Small-Animal Magnetoencephalography 
Description In a project funded by BBSRC grant BB/H006958/1, we characterised auditory evoked brain responses in the guinea pig using the novel technology of small-animal magnetoencephalography (MEG). Our results provided the first description of sound-evoked MEG signals in a small rodent, and have established a new non-invasive method for assessing auditory brain activity in vivo in small mammalian model systems. 
Type Of Material Model of mechanisms or symptoms - mammalian in vivo 
Year Produced 2014 
Provided To Others? Yes  
Impact A publication describing all observations: Christianson GB, Chait M, de Cheveigne A and Linden JF (2014). Auditory evoked fields measured non-invasively with small-animal MEG reveal rapid repetition suppression in the guinea pig. Journal of Neurophysiology, in press. DOI: 10.1152/jn.00189.2014. We also provided the research tool or method to Professor Georg Klump of the University of Oldenburg, Germany, who conducted collaborative experiments in the gerbil. 
 
Title Non-invasive Auditory Brain Imaging with Small-Animal MEG 
Description We validated methods for non-invasive measurement of auditory brain activity using magnetoencephalography (MEG) in small animals. This work represents a substantial contribution to the 3Rs, particularly Refinement of experimental methods, because small-animal MEG is an entirely non-invasive means of acquiring high temporal resolution measurements of brain activity (in contrast to more common invasive experimental techniques such as implantation of chronic recording arrays or subdermal placement of electroencephalographic electrodes). 
Type Of Material Data analysis technique 
Year Produced 2014 
Provided To Others? Yes  
Impact Development of small-animal MEG has helped to refine animal use not only in our own project but also in the projects of colloborators, such as Professor Georg Klump of the University of Oldenburg. Our validation of small-animal MEG techniques has also motivated further development of sensor technology for small-animal MEG machines by our collaborators at the Kanazawa Institute of Technology in Japan. Finally, the data analysis required for successful measurement of MEG signals in small animals motivated the development of novel algorithms for de-noising biological signals, which have been published and made freely available online by our collaborator Professor Alain de Cheveigne at the Centre National de la Recherche Scientifique in France. The publication arising from development of this model is: Christianson GB, Chait M, de Cheveigne A and Linden JF (2014) Journal of Neurophysiology. 
 
Description Collaboration with Professor Alain de Cheveigne, Ecole Normale Superieure, Paris 
Organisation École Normale Supérieure, Paris
Country France 
Sector Academic/University 
PI Contribution Professor de Cheveigne was a key collaborator on this BBSRC project, and his expertise in signal processing contributed to the success and impact of the work.
Collaborator Contribution This collaboration was a fundamental part of the original BBSRC grant application. Professor de Cheveigne developed mathematical and computational tools for analysing the small-animal MEG data that enabled us to validate the technique and discover properties of auditory adaptation in evoked auditory cortical fields (e.g., Christianson et al. 2014 Journal of Neuroscience). Through the collaboration Professor de Cheveigne also developed new techniques for MEG data analysis (e.g., de Cheveigne and Parra 2014 Neuroimage).
Impact Outputs have included publications and development of research tools, as listed on relevant sections of the form. This collaboration was multi-disciplinary, involving interaction between neuroscientists and experts in signal processing and biomedical engineering.
Start Year 2010
 
Description Small-Animal Magnetoencephalography: Collaboration with Centre National de la Recherche Scientifique, France 
Organisation National Center for Scientific Research (Centre National de la Recherche Scientifique CNRS)
Country France 
Sector Academic/University 
PI Contribution Our team of Dr JF Linden (PI), Dr M Chait (Co-PI) and Dr GB Christianson (Postdoctoral Fellow) performed non-invasive measurements of auditory brain activity in guinea pigs using the novel non-invasive technology of small-animal magnetoencephalography (BBSRC grant BB/H006958/1).
Collaborator Contribution Our collaborator Professor A de Cheveigne assisted with technical aspects of MEG data collection, contributed substantially to data analysis, and provided novel analytical tools for denoising of multichannel data that were used extensively in this project.
Impact Multidisciplinary, international collaboration of experimental physiologists and researchers developing novel statistical analysis tools. Two major publication outputs (plus a number of conference abstracts in international meetings): de Cheveigne A and Parra LC (2014). Joint decorrelation, a versatile tool for multichannel data analysis. Neuroimage 98: 487-505. Christianson GB, Chait M, de Cheveigne A and Linden JF (2014). Auditory evoked fields measured non-invasively with small-animal MEG reveal rapid repetition suppression in the guinea pig. Journal of Neurophysiology, in press. DOI: 10.1152/jn.00189.2014.
Start Year 2010
 
Description Small-Animal Magnetoencephalography: Collaboration with Kanazawa Institute of Technology, Japan 
Organisation Kanazawa Institute of Technology
Country Japan 
Sector Academic/University 
PI Contribution In a project funded by BBSRC grant BB/H006958/1, we conducted the first non-invasive small-animal magnetoencephalographic recordings of auditory brain responses to sound, and characterised frequency dependence and adaptive characteristics of these responses in guinea pig. The small-animal MEG used for these experiments (developed at the Kanazawa Institute of Technology in Japan) is one of very few such machines in the world, and exploits advances in sensor technology to enable non-invasive recordings of neural activity in rodents.
Collaborator Contribution Professor Hisashi Kado, Dr Gen Uehara, Dr Yoshiaki Adachi, Dr Jun Kawai and Dr Masakazu Miyamoto, all from the Applied Electronics Laboratory at the Kanazawa Institute of Technology in Japan, developed the small-animal magnetoencephalography machine used in our research and donated it to us at UCL for in vivo testing in rodent models.
Impact Multidisciplinary, international collaboration of experimental physiologists and researchers developing novel applied electronics devices. Two major outcomes in research publications (plus a number of conference abstracts at international meetings): de Cheveigne A and Parra LC (2014). Joint decorrelation, a versatile tool for multichannel data analysis. Neuroimage 98:487-505. Christianson GB, Chait M, de Cheveigne A and Linden JF (2014). Auditory evoked fields measured non-invasively with small-animal MEG reveal rapid repetition suppression in the guinea pig. Journal of Neurophysiology, in press. DOI: 10.1152/jn.00189.2014.
Start Year 2010
 
Description Small-Animal Magnetoencephalography: Collaboration with University of Oldenburg, Germany 
Organisation Carl von Ossietzky University of Oldenburg
Country Germany 
Sector Academic/University 
PI Contribution Our research team of Dr GB Christianson, Dr M Chait and Dr JF Linden helped Professor Georg Klump from the University of Oldenburg to perform small-animal MEG experiments on gerbils, to study auditory streaming. We performed the experiments in our small-animal MEG laboratory at UCL, to complement related experiments using other techniques in Professor Klump's laboratory in Germany.
Collaborator Contribution Professor Klump was interested in trying small-animal MEG for his experiments because the technique is entirely non-invasive and is very similar to MEG technology used for studies of auditory brain activity in humans. He designed stimuli for the experiments on the gerbils and also helped to refine our methods for small-animal MEG for gerbils specifically.
Impact Experiments contributed to a much larger project on auditory streaming and the role of the auditory cortex in segmenting auditory scenes.
Start Year 2010
 
Title Joint Decorrelation, A Versatile Tool for Multichannel Data Analysis 
Description Joint decorrelation is a simple yet versatile approach for the analysis of multichannel data. Sensors are combined linearly with weights that are chosen to provide optimal signal-to-noise ratio. Signal and noise can be variably defined to match the specific need, e.g. reproducibility over trials, frequency content, or differences between stimulus conditions. The method can be used to remove power line or cardiac interference, enhance stimulus-evoked or stimulus-induced activity, isolate narrow-band cortical activity, and so on. The approach involves decorrelating both the original and filtered data by joint diagonalization of their covariance matrices. In addition to its flexibility and effectiveness, a major appeal of the method is that it is easy to understand. 
Type Of Technology New/Improved Technique/Technology 
Year Produced 2010 
Impact The algorithms are described in a publication and are freely available online. The software was made available via Professor de Cheveigne's web site in 2010 and the publication in 2014. de Cheveigné A, Parra LC (2014). Joint decorrelation, a versatile tool for multichannel data analysis. Neuroimage 98:487-505. 
URL http://audition.ens.fr/adc/NoiseTools/
 
Description Invited speaker on Cajal Course in Computational Neuroscience 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Postgraduate students
Results and Impact Invited lecturer in intensive 3-week computational neuroscience course that is run by the Federation of European Neuroscience Societies and attracts students from all over the world.
Year(s) Of Engagement Activity 2015,2016,2017,2018,2019