Identification and validation of effective connectivity networks in functional magnetic resonance imaging using switching linear dynamic systems

NeuroImage

Volumn 52, Issue 3, 2010, Pages 1027-1040

  Smith, Jason F ^a   Pillai, Ajay ^a   Chen, Kewei ^b,c,d   Horwitz, Barry ^a  

^a NATIONAL INSTITUTE ON DEAFNESS AND OTHER COMMUNICATION DISORDERS   (United States)

^b ARIZONA STATE UNIVERSITY   (United States)

^c BANNER ALZHEIMER S INSTITUTE   (United States)

^d ARIZONA ALZHEIMER S CONSORTIUM   (United States)

Author keywords

Computational modeling; Dynamic systems; Effective connectivity; FMRI; Motor systems

Indexed keywords

ACCURACY; ADULT; ARTICLE; BRAIN REGION; CONTROLLED STUDY; FINGER; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HAND MOVEMENT; HUMAN; HUMAN EXPERIMENT; IMAGE ANALYSIS; IMAGE PROCESSING; LINEAR SYSTEM; MALE; MOTOR CORTEX; MOTOR PERFORMANCE; NERVE CELL NETWORK; NORMAL HUMAN; PREDICTION; PRIORITY JOURNAL; PROBABILITY; STATISTICAL MODEL; TASK PERFORMANCE; VALIDATION PROCESS; ARTIFICIAL NEURAL NETWORK; BIOLOGICAL MODEL; BRAIN; BRAIN MAPPING; COMPUTER ASSISTED DIAGNOSIS; NUCLEAR MAGNETIC RESONANCE IMAGING; PHYSIOLOGY; PROCEDURES; VALIDATION STUDY;

ADULT; BRAIN; BRAIN MAPPING; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MALE; MODELS, NEUROLOGICAL; NERVE NET; NEURAL NETWORKS (COMPUTER);

EID: 77954383250     PISSN: 10538119     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2009.11.081     Document Type: Article

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