Time-dependence of graph theory metrics in functional connectivity analysis

NeuroImage

Volumn 125, Issue , 2016, Pages 601-615

  Chiang, Sharon ^a   Cassese, Alberto ^a,b,c   Guindani, Michele ^a,b   Vannucci, Marina ^a   Yeh, Hsiang J ^d   Haneef, Zulfi ^e,f   Stern, John M ^d  

^a Rice University   (United States)

^b UNIVERSITY OF TEXAS   (United States)

^c MAASTRICHT UNIVERSITY   (Netherlands)

^d UNIVERSITY OF CALIFORNIA   (United States)

^e BAYLOR COLLEGE OF MEDICINE   (United States)

^f MICHAEL E DEBAKEY VETERANS AFFAIRS MEDICAL CENTER   (United States)

Author keywords

Dynamic functional connectivity; Functional magnetic resonance imaging; Graph theory; Hidden Markov Model; Temporal lobe epilepsy

Indexed keywords

ADULT; ALGORITHM; ARTICLE; BAYESIAN LEARNING; CLINICAL ARTICLE; CONNECTOME; CONTROLLED STUDY; FEMALE; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HIDDEN MARKOV MODEL; HUMAN; MALE; NERVE CELL NETWORK; PREDICTION; PRIORITY JOURNAL; PROBABILITY; STATISTICAL DISTRIBUTION; STOCHASTIC MODEL; TEMPORAL LOBE EPILEPSY; BAYES THEOREM; BRAIN; IMAGE PROCESSING; MARKOV CHAIN; MIDDLE AGED; NERVE TRACT; NUCLEAR MAGNETIC RESONANCE IMAGING; PATHOPHYSIOLOGY; PHYSIOLOGY; PROCEDURES; YOUNG ADULT;

ADULT; ALGORITHMS; BAYES THEOREM; BRAIN; CONNECTOME; EPILEPSY, TEMPORAL LOBE; FEMALE; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MALE; MARKOV CHAINS; MIDDLE AGED; NEURAL PATHWAYS; YOUNG ADULT;

EID: 84946761045     PISSN: 10538119     EISSN: 10959572     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2015.10.070     Document Type: Article

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