The dynamic functional connectome: State-of-the-art and perspectives

NeuroImage

Volumn 160, Issue , 2017, Pages 41-54

  Preti, Maria Giulia ^a,b   Bolton, Thomas AW ^a,b   Van De Ville, Dimitri ^a,b  

^a EPFL   (Switzerland)

^b UNIVERSITY OF GENEVA   (Switzerland)

Author keywords

Dynamic functional connectivity; Dynamic graph analysis; Frame wise description; Sliding window analysis; State characterization; Temporal modeling; Time frequency analysis

Indexed keywords

ARTICLE; BOLD SIGNAL; BRAIN FUNCTION; BRAIN REGION; COGNITION; CONSCIOUSNESS; DEFAULT MODE NETWORK; DEMOGRAPHY; DYNAMIC FUNCTIONAL CONNECTIVITY; ELECTROENCEPHALOGRAPHY; FUNCTIONAL CONNECTIVITY; FUNCTIONAL MAGNETIC RESONANCE IMAGING; PRIORITY JOURNAL; ANATOMY AND HISTOLOGY; BRAIN; CONNECTOME; IMAGE PROCESSING; NERVE TRACT; NUCLEAR MAGNETIC RESONANCE IMAGING; PHYSIOLOGY; PROCEDURES;

BRAIN; CONNECTOME; IMAGE PROCESSING, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; NEURAL PATHWAYS;

EID: 85009186296     PISSN: 10538119     EISSN: 10959572     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2016.12.061     Document Type: Article

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