Learning functional structure from fMR images

NeuroImage

Volumn 31, Issue 4, 2006, Pages 1601-1613

  Zheng, Xuebin ^a   Rajapakse, Jagath C ^a,b  

^a NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

^b MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

Bayesian networks; Effective connectivity; Functional MRI; Interference counting; Silent reading; Stroop task

Indexed keywords

ARTICLE; AUDIOVISUAL EQUIPMENT; BAYES THEOREM; BRAIN REGION; FUNCTIONAL MAGNETIC RESONANCE IMAGING; INFORMATION PROCESSING; PRIORITY JOURNAL; STRUCTURAL EQUATION MODELING; ADULT; ALGORITHM; ARTIFICIAL NEURAL NETWORK; BRAIN; CLINICAL TRIAL; COMPUTER SIMULATION; FEMALE; HISTOLOGY; HUMAN; IMAGE PROCESSING; MALE; NUCLEAR MAGNETIC RESONANCE IMAGING; PHYSIOLOGY; READING; REPRODUCIBILITY; STATISTICS;

ADULT; ALGORITHMS; BAYES THEOREM; BRAIN; COMPUTER SIMULATION; FEMALE; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MALE; NEURAL NETWORKS (COMPUTER); READING; REPRODUCIBILITY OF RESULTS;

EID: 33746860833     PISSN: 10538119     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2006.01.031     Document Type: Article

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