Groupwise whole-brain parcellation from resting-state fMRI data for network node identification

NeuroImage

Volumn 82, Issue , 2013, Pages 403-415

  Shen, X ^a   Tokoglu, F ^a   Papademetris, X ^a   Constable, R T ^a  

^a YALE UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

Functional MRI; Graph theory based parcellation; Network analysis; Resting state connectivity; Whole brain atlas

Indexed keywords

ALGORITHM; ANATOMICAL VARIATION; ARTICLE; CLUSTER ANALYSIS; FUNCTIONAL MAGNETIC RESONANCE IMAGING; FUNCTIONAL NEUROIMAGING; GROUPWISE GRAPH THEORY BASED PARCELLATION; HUMAN; MATHEMATICAL ANALYSIS; NORMAL HUMAN; PRIORITY JOURNAL; REPRODUCIBILITY; RESTING STATE NETWORK;

FUNCTIONAL MRI; GRAPH-THEORY-BASED PARCELLATION; NETWORK ANALYSIS; RESTING-STATE CONNECTIVITY; WHOLE-BRAIN ATLAS;

ALGORITHMS; BRAIN; BRAIN MAPPING; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; NEURAL PATHWAYS; REPRODUCIBILITY OF RESULTS; REST;

EID: 84879736587     PISSN: 10538119     EISSN: 10959572     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2013.05.081     Document Type: Article

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