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Learning and comparing functional connectomes across subjects

Abstract : Functional connectomes capture brain interactions via synchronized fluctuations in the functional magnetic resonance imaging signal. If measured during rest, they map the intrinsic functional architecture of the brain. With task-driven experiments they represent integration mechanisms between specialized brain areas. Analyzing their variability across subjects and conditions can reveal markers of brain pathologies and mechanisms underlying cognition. Methods of estimating functional connectomes from the imaging signal have undergone rapid developments and the literature is full of diverse strategies for comparing them. This review aims to clarify links across functional-connectivity methods as well as to expose different steps to perform a group study of functional connectomes.
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Contributor : Gaël Varoquaux Connect in order to contact the contributor
Submitted on : Saturday, April 13, 2013 - 1:22:11 PM
Last modification on : Thursday, December 8, 2022 - 12:02:36 PM
Long-term archiving on: : Sunday, July 14, 2013 - 4:06:28 AM


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Gaël Varoquaux, R. Cameron Craddock. Learning and comparing functional connectomes across subjects. NeuroImage, 2013, 80, pp.405-415. ⟨10.1016/j.neuroimage.2013.04.007⟩. ⟨hal-00812911⟩



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