Unsupervised learning of functional network dynamics in resting state fMRI

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 7917 LNCS, Issue , 2013, Pages 426-437

  Eavani, Harini ^a   Satterthwaite, Theodore D ^a   Gur, Raquel E ^a   Gur, Ruben C ^a   Davatzikos, Christos ^a  

^a UNIVERSITY OF PENNSYLVANIA   (United States)

Author keywords

functional connectivity; resting state fMRI; temporal network dynamics

Indexed keywords

COVARIANCE MATRICES; FUNCTIONAL ACTIVITIES; FUNCTIONAL CONNECTIVITY; HIDDEN MARKOV MODELING(HMM); POSITIVE-DEFINITE MATRICES; REGIONS OF INTEREST; RESTING-STATE FMRI; TEMPORAL NETWORKS;

COVARIANCE MATRIX; DATA PROCESSING; MEDICAL IMAGING;

DYNAMICS;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BRAIN; BRAIN MAPPING; COMPUTER ASSISTED DIAGNOSIS; HUMAN; IMAGE ENHANCEMENT; METHODOLOGY; NERVE CELL NETWORK; NUCLEAR MAGNETIC RESONANCE IMAGING; PHYSIOLOGY; REPRODUCIBILITY; REST; SENSITIVITY AND SPECIFICITY; STATISTICAL ANALYSIS;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BRAIN; BRAIN MAPPING; DATA INTERPRETATION, STATISTICAL; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; NERVE NET; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; REST; SENSITIVITY AND SPECIFICITY;

EID: 84901266629     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-38868-2_36     Document Type: Conference Paper

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