title: A method for functional network connectivity using distance correlation.
abstract: In this paper, we present a novel approach for functional network connectivity in fMRI resting activity using distance correlation. The proposed method accounts for nonlinear relationships between the resting state networks and can be used for both single subject and group level analyses. We showed that the new strategy improves the capacity of characterization of pathological populations, such as, patients with disorder of consciousness, when compared to related approaches.
authors.forename: Jorge
authors.initials: J
authors.lastname: Rudas
authors.forename: Javier
authors.initials: J
authors.lastname: Guaje
authors.forename: Athena
authors.initials: A
authors.lastname: Demertzi
authors.forename: Lizette
authors.initials: L
authors.lastname: Heine
authors.forename: Luaba
authors.initials: L
authors.lastname: Tshibanda
authors.forename: Andrea
authors.initials: A
authors.lastname: Soddu
authors.forename: Steven
authors.initials: S
authors.lastname: Laureys
authors.forename: Francisco
authors.initials: F
authors.lastname: Gomez
mesh_terms: D000328:Adult; D000368:Aged; D016022:Case-Control Studies; D003243:Consciousness; D005260:Female; D006801:Humans; D008279:Magnetic Resonance Imaging / Q000379:methods; D008297:Male; D008875:Middle Aged; D009415:Nerve Net / Q000503:physiopathology*; D018458:Persistent Vegetative State / Q000503:physiopathology*