Task-free MRI predicts individual differences in brain activity during task performance
When asked to perform the same task, different individuals exhibit markedly different patterns of brain activity. This variability is often attributed to volatile factors, such as task strategy or compliance. We propose that individual differences in brain responses are, to a large degree, inherent...
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| Published in | Science (American Association for the Advancement of Science) Vol. 352; no. 6282; pp. 216 - 220 |
|---|---|
| Main Authors | , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
United States
American Association for the Advancement of Science
08.04.2016
The American Association for the Advancement of Science |
| Subjects | |
| Online Access | Get full text |
| ISSN | 0036-8075 1095-9203 1095-9203 |
| DOI | 10.1126/science.aad8127 |
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| Abstract | When asked to perform the same task, different individuals exhibit markedly different patterns of brain activity. This variability is often attributed to volatile factors, such as task strategy or compliance. We propose that individual differences in brain responses are, to a large degree, inherent to the brain and can be predicted from task-independent measurements collected at rest. Using a large set of task conditions, spanning several behavioral domains, we train a simple model that relates task-independent measurements to task activity and evaluate the model by predicting task activation maps for unseen subjects using magnetic resonance imaging. Our model can accurately predict individual differences in brain activity and highlights a coupling between brain connectivity and function that can be captured at the level of individual subjects. |
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| AbstractList | We all differ in how we perceive, think, and act. What drives individual differences in evoked brain activity? Tavor et al. applied computational models to functional magnetic resonance imaging (fMRI) data from the Human Connectome Project. Brain activity in the "resting" state when subjects were not performing any explicit task predicted differences in fMRI activation across a range of cognitive paradigms. This suggests that individual differences in many cognitive tasks are a stable trait marker. Resting-state functional connectivity thus already contains the repertoire that is then expressed during task-based fMRI. Science, this issue p. 216 When asked to perform the same task, different individuals exhibit markedly different patterns of brain activity. This variability is often attributed to volatile factors, such as task strategy or compliance. We propose that individual differences in brain responses are, to a large degree, inherent to the brain and can be predicted from task-independent measurements collected at rest. Using a large set of task conditions, spanning several behavioral domains, we train a simple model that relates task-independent measurements to task activity and evaluate the model by predicting task activation maps for unseen subjects using magnetic resonance imaging. Our model can accurately predict individual differences in brain activity and highlights a coupling between brain connectivity and function that can be captured at the level of individual subjects. When asked to perform the same task, different individuals exhibit markedly different patterns of brain activity. This variability is often attributed to volatile factors such as task strategy or compliance. We propose that individual differences in brain responses are, to a large degree, inherent to the brain, and can be predicted from task-independent measurements collected at rest. Using a large set of task conditions, spanning several behavioral domains, we train a simple model that relates task-independent measurements to task activity and evaluate the model by predicting task activation maps for unseen subjects. Our model can accurately predict individual differences in brain activity highlighting a coupling between brain connectivity and function that can be captured at the level of individual subjects. We all differ in how we perceive, think, and act. What drives individual differences in evoked brain activity? Tavor et al. applied computational models to functional magnetic resonance imaging (fMRI) data from the Human Connectome Project. Brain activity in the “resting” state when subjects were not performing any explicit task predicted differences in fMRI activation across a range of cognitive paradigms. This suggests that individual differences in many cognitive tasks are a stable trait marker. Resting-state functional connectivity thus already contains the repertoire that is then expressed during task-based fMRI. Science , this issue p. 216 Brain activation when performing activities can largely be understood from its distinctive anatomy and connectivity. When asked to perform the same task, different individuals exhibit markedly different patterns of brain activity. This variability is often attributed to volatile factors, such as task strategy or compliance. We propose that individual differences in brain responses are, to a large degree, inherent to the brain and can be predicted from task-independent measurements collected at rest. Using a large set of task conditions, spanning several behavioral domains, we train a simple model that relates task-independent measurements to task activity and evaluate the model by predicting task activation maps for unseen subjects using magnetic resonance imaging. Our model can accurately predict individual differences in brain activity and highlights a coupling between brain connectivity and function that can be captured at the level of individual subjects. When asked to perform the same task, different individuals exhibit markedly different patterns of brain activity. This variability is often attributed to volatile factors, such as task strategy or compliance. We propose that individual differences in brain responses are, to a large degree, inherent to the brain and can be predicted from task-independent measurements collected at rest. Using a large set of task conditions, spanning several behavioral domains, we train a simple model that relates task-independent measurements to task activity and evaluate the model by predicting task activation maps for unseen subjects using magnetic resonance imaging. Our model can accurately predict individual differences in brain activity and highlights a coupling between brain connectivity and function that can be captured at the level of individual subjects.When asked to perform the same task, different individuals exhibit markedly different patterns of brain activity. This variability is often attributed to volatile factors, such as task strategy or compliance. We propose that individual differences in brain responses are, to a large degree, inherent to the brain and can be predicted from task-independent measurements collected at rest. Using a large set of task conditions, spanning several behavioral domains, we train a simple model that relates task-independent measurements to task activity and evaluate the model by predicting task activation maps for unseen subjects using magnetic resonance imaging. Our model can accurately predict individual differences in brain activity and highlights a coupling between brain connectivity and function that can be captured at the level of individual subjects. When asked to perform the same task, different individuals exhibit markedly different patterns of brain activity. This variability is often attributed to volatile factors, such as task strategy or compliance. We propose that individual differences in brain responses are, to a large degree, inherent to the brain and can be predicted from task-independent measurements collected at rest. Using a large set of task conditions, spanning several behavioral domains, we train a simple model that relates task-independent measurements to task activity and evaluate the model by predicting task activation maps for unseen subjects using magnetic resonance imaging. Our model can accurately predict individual differences in brain activity and highlights a coupling between brain connectivity and function that can be captured at the level of individual subjects. |
| Author | Mars, R. B. Behrens, T. E. Jones, O. Parker Smith, S. M. Tavor, I. Jbabdi, S. |
| AuthorAffiliation | 3 Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen, 6525 EZ Nijmegen, The Netherlands 1 Oxford Centre for Functional Magnetic Resonance Imaging of the Brain (FMRIB), Nuffield Department of Clinical Neurosciences, John Radcliffe Hospital, Oxford OX3 9DU, UK 4 Wellcome Trust Centre for Neuroimaging, University College London, London, WC1N 3BG, UK 2 Department of Diagnostic Imaging, Sheba Medical Center, Tel Hashomer, 52621, Israel |
| AuthorAffiliation_xml | – name: 2 Department of Diagnostic Imaging, Sheba Medical Center, Tel Hashomer, 52621, Israel – name: 3 Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen, 6525 EZ Nijmegen, The Netherlands – name: 4 Wellcome Trust Centre for Neuroimaging, University College London, London, WC1N 3BG, UK – name: 1 Oxford Centre for Functional Magnetic Resonance Imaging of the Brain (FMRIB), Nuffield Department of Clinical Neurosciences, John Radcliffe Hospital, Oxford OX3 9DU, UK |
| Author_xml | – sequence: 1 givenname: I. surname: Tavor fullname: Tavor, I. – sequence: 2 givenname: O. Parker surname: Jones fullname: Jones, O. Parker – sequence: 3 givenname: R. B. surname: Mars fullname: Mars, R. B. – sequence: 4 givenname: S. M. surname: Smith fullname: Smith, S. M. – sequence: 5 givenname: T. E. surname: Behrens fullname: Behrens, T. E. – sequence: 6 givenname: S. surname: Jbabdi fullname: Jbabdi, S. |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/27124457$$D View this record in MEDLINE/PubMed |
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| Snippet | When asked to perform the same task, different individuals exhibit markedly different patterns of brain activity. This variability is often attributed to... We all differ in how we perceive, think, and act. What drives individual differences in evoked brain activity? Tavor et al. applied computational models to... We all differ in how we perceive, think, and act. What drives individual differences in evoked brain activity? Tavor et al. applied computational models to... |
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| SubjectTerms | Brain Brain - physiology Brain Mapping - methods Humans Individual Differences Individuality Language Magnetic Resonance Imaging - methods NMR Nuclear magnetic resonance Task Performance and Analysis |
| Title | Task-free MRI predicts individual differences in brain activity during task performance |
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