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.

Original publication

DOI

10.1126/science.aad8127

Type

Journal article

Journal

Science (New York, N.Y.)

Publication Date

07/04/2016

Volume

352

Pages

216 - 220

Addresses

Oxford Centre for Functional Magnetic Resonance Imaging of the Brain (FMRIB), Nuffield Department of Clinical Neurosciences, John Radcliffe Hospital, Oxford OX3 9DU, UK. Department of Diagnostic Imaging, Sheba Medical Center, Tel Hashomer, 52621, Israel.

Keywords

Brain, Humans, Magnetic Resonance Imaging, Brain Mapping, Language, Individuality, Task Performance and Analysis