title: 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.
authors.affiliation: Parietal project-team, INRIA Saclay-île de France, France. gael.varoquaux@inria.fr
authors.forename: Gaël
authors.initials: G
authors.lastname: Varoquaux
authors.forename: R Cameron
authors.initials: RC
authors.lastname: Craddock
mesh_terms: D000818:Animals; D001921:Brain / Q000033:anatomy & histology / Q000502:physiology*; D063132:Connectome / Q000379:methods*; D006801:Humans; D008953:Models, Anatomic; D008959:Models, Neurological; D009415:Nerve Net / Q000033:anatomy & histology / Q000502:physiology*
keywords: Connectome; Effective connectivity; Functional connectivity; Group study; Resting-state; fMRI