Brain network dynamics are hierarchically organized in time

Proceedings of the National Academy of Sciences of the United States of America

Volumn 114, Issue 48, 2017, Pages 12827-12832

  Vidaurre, Diego ^a   Smith, Stephen M ^a   Woolrich, Mark W ^a  

^a UNIVERSITY OF OXFORD   (United Kingdom)

Author keywords

Dynamic functional connectivity; Hidden Markov model; Metastates; Resting state networks

Indexed keywords

ARTICLE; BEHAVIOR; CONNECTOME; FUNCTIONAL CONNECTIVITY; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HUMAN; METASTATE; NEUROIMAGING; PRIORITY JOURNAL; PROBABILITY; RESTING STATE NETWORK; THERMODYNAMICS; TIME SERIES ANALYSIS; ADULT; ANATOMY AND HISTOLOGY; BIOLOGICAL MODEL; BRAIN; BRAIN MAPPING; COGNITION; DIAGNOSTIC IMAGING; FEMALE; MALE; NERVE CELL NETWORK; NERVE TRACT; NUCLEAR MAGNETIC RESONANCE IMAGING; PHYSIOLOGY; QUANTITATIVE TRAIT; REST; TASK PERFORMANCE; TIME FACTOR;

ADULT; BRAIN; BRAIN MAPPING; COGNITION; FEMALE; HUMANS; MAGNETIC RESONANCE IMAGING; MALE; MODELS, NEUROLOGICAL; NERVE NET; NEURAL PATHWAYS; QUANTITATIVE TRAIT, HERITABLE; REST; TASK PERFORMANCE AND ANALYSIS; TIME FACTORS;

EID: 85035199228     PISSN: 00278424     EISSN: 10916490     Source Type: Journal    
DOI: 10.1073/pnas.1705120114     Document Type: Article

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