Learning and comparing functional connectomes across subjects - Inria - Institut national de recherche en sciences et technologies du numérique Accéder directement au contenu
Article Dans Une Revue NeuroImage Année : 2013

Learning and comparing functional connectomes across subjects

Résumé

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.

Mots clés

Fichier principal
Vignette du fichier
paper.pdf (1.3 Mo) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-00812911 , version 1 (13-04-2013)

Identifiants

Citer

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⟩
1271 Consultations
1371 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More