On nodes and modes in resting state fMRI

NeuroImage

Volumn 99, Issue , 2014, Pages 533-547

  Friston, Karl J ^a   Kahan, Joshua ^b   Razi, Adeel ^a,c   Stephan, Klaas Enno ^a   Sporns, Olaf ^d  

^a UNIVERSITY COLLEGE LONDON   (United Kingdom)

^b UNIVERSITY COLLEGE LONDON   (United Kingdom)

^c NED UNIVERSITY OF ENGINEERING AND TECHNOLOGY   (Pakistan)

^d INDIANA UNIVERSITY   (United States)

Author keywords

Bayesian; Criticality; Dynamic causal modelling; Effective connectivity; FMRI; Free energy; Functional connectivity; Lyapunov exponents; Proximity graph; Resting state; Self organisation

Indexed keywords

ANGULAR GYRUS; ARTICLE; CONNECTOME; EXTRASTRIATE BODY AREA; FRONTAL EYE FIELD; FUNCTIONAL MAGNETIC RESONANCE IMAGING; LONG TERM MEMORY; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; NEUROIMAGING; NEUROPHYSIOLOGY; POSTERIOR PARIETAL CORTEX; PREFRONTAL CORTEX; PRIORITY JOURNAL; RESTING STATE NETWORK; STEADY STATE; STRIATE CORTEX; SUPERIOR TEMPORAL SULCUS; ALGORITHM; BAYES THEOREM; HUMAN; NERVE CELL NETWORK; NERVE TRACT; NUCLEAR MAGNETIC RESONANCE IMAGING; PHYSIOLOGY; REST;

ALGORITHMS; BAYES THEOREM; CONNECTOME; HUMANS; MAGNETIC RESONANCE IMAGING; NERVE NET; NEURAL PATHWAYS; REST;

EID: 84912117931     PISSN: 10538119     EISSN: 10959572     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2014.05.056     Document Type: Article

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