Group search algorithm recovers effective connectivity maps for individuals in homogeneous and heterogeneous samples

NeuroImage

Volumn 63, Issue 1, 2012, Pages 310-319

  Gates, Kathleen M ^a   Molenaar, Peter C M ^a  

^a PENNSYLVANIA STATE UNIVERSITY   (United States)

Author keywords

Automatic search; Effective connectivity mapping; Heterogeneity; Networks; SEM

Indexed keywords

ALGORITHM; ARTICLE; BRAIN MAPPING; COMPUTER MODEL; COMPUTER PROGRAM; COMPUTER SIMULATION; DATA ANALYSIS; FUNCTIONAL MAGNETIC RESONANCE IMAGING; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; NERVE CELL NETWORK; NEUROIMAGING; PERFORMANCE MEASUREMENT SYSTEM; PRIORITY JOURNAL; SENSITIVITY ANALYSIS;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BRAIN; BRAIN MAPPING; CONNECTOME; DATA INTERPRETATION, STATISTICAL; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; NERVE NET; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SAMPLE SIZE; SENSITIVITY AND SPECIFICITY;

EID: 84864402054     PISSN: 10538119     EISSN: 10959572     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2012.06.026     Document Type: Article

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