A pairwise maximum entropy model accurately describes resting-state human brain networks

Nature Communications

Volumn 4, Issue , 2013, Pages

  Watanabe, Takamitsu ^a   Hirose, Satoshi ^a   Wada, Hiroyuki ^b   Imai, Yoshio ^b   Machida, Toru ^b   Shirouzu, Ichiro ^b   Konishi, Seiki ^a   Miyashita, Yasushi ^a   Masuda, Naoki ^c  

^a UNIVERSITY OF TOKYO   (Japan)

^b Kanto Teishin Hospital   (Japan)

^c UNIVERSITY OF TOKYO   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

ANATOMY; BRAIN; COGNITION; ENTROPY; NUMERICAL MODEL; PHYSIOLOGY;

ADULT; ARTICLE; BRAIN NERVE CELL; BRAIN REGION; CINGULATE GYRUS; DEFAULT MODE NETWORK; ELECTROENCEPHALOGRAM; ENTROPY; FEMALE; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HUMAN; HUMAN EXPERIMENT; INFERIOR TEMPORAL GYRUS; INTRAPARIETAL SULCUS; MALE; MIDDLE FRONTAL GYRUS; NORMAL HUMAN; PARAHIPPOCAMPAL GYRUS; PARIETAL LOBE; POSTERIOR CINGULATE; PRECUNEUS; PREDICTION; PREFRONTAL CORTEX; RECEIVER OPERATING CHARACTERISTIC; RESTING STATE NETWORK; STATISTICAL MODEL; BIOLOGICAL MODEL; BRAIN; NERVE CELL NETWORK; NUCLEAR MAGNETIC RESONANCE IMAGING; PHYSIOLOGY; REPRODUCIBILITY; REST; SIGNAL PROCESSING; STATISTICS;

BRAIN; ENTROPY; FEMALE; HUMANS; MAGNETIC RESONANCE IMAGING; MALE; MODELS, NEUROLOGICAL; NERVE NET; REPRODUCIBILITY OF RESULTS; REST; ROC CURVE; SIGNAL PROCESSING, COMPUTER-ASSISTED; STATISTICS AS TOPIC; YOUNG ADULT;

MLCS; MLOWN;

EID: 84879155057     PISSN: None     EISSN: 20411723     Source Type: Journal    
DOI: 10.1038/ncomms2388     Document Type: Article

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