Learning and comparing functional connectomes across subjects

• Published in: NeuroImage (Orlando, Fla.) Vol. 80; pp. 405 - 415
• Main Authors: Varoquaux, Gaël, Craddock, R. Cameron
• Format: Journal Article
• Language: English
• Published: United States Elsevier Inc 15.10.2013; Elsevier Limited; Elsevier
• Subjects: Animals; Brain - anatomy & histology; Brain - physiology; Brain architecture; Brain research; Cognitive science; Computer Science; Connectome; Connectome - methods; Data processing; Effective connectivity; fMRI; Functional connectivity; Graphs; Group study; Humans; Life Sciences; Medical Imaging; Methods; Models, Anatomic; Models, Neurological; Nerve Net - anatomy & histology; Nerve Net - physiology; Neurons and Cognition; Neuroscience; Noise; Principal components analysis; Resting-state; Studies; Time series; Functional connectivity; fMRI; Resting-state; Connectome; Group study; Effective connectivity

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 specia...