Learning and comparing functional connectomes across subjects
Gael P. Varoquauxa b c d✉, Richard Cameron Craddocke f
- aParietal project-team, INRIA Saclay-île de France, France. gael.varoquaux@inria.fr
- bCEA/Neurospin bât 145, 91191 Gif-Sur-Yvette, France
- cINSERM, U992, France
- dParietal project-team, INRIA Saclay-île de France, France
- eChild Mind Institute, New York, New York, USA
- fNathan Kline Institute for Psychiatric Research, Orangeburg, New York, USA
- ✉Corresponding author
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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.
TL;DRA review of methods of estimating functional connectomes from the imaging signal aims to clarify links across functional-connectivity methods as well as to expose different steps to perform a group study offunctional connectomes. (Semantic Scholar)