Lagged covariance structure models for studying functional connectivity in the brain

NeuroImage

Volumn 30, Issue 4, 2006, Pages 1203-1218

  Rykhlevskaia, Elena ^a   Fabiani, Monica ^a   Gratton, Gabriele ^a  

^a UNIVERSITY OF ILLINOIS AT URBANA CHAMPAIGN   (United States)

Author keywords

Aging; Functional connectivity; Optical imaging; Path analysis; Structural equation modeling; The event related optical signal (EROS); Visual cortex

Indexed keywords

ARTICLE; BRAIN; COGNITION; CORRELATION ANALYSIS; EVENT RELATED OPTICAL SIGNAL; EVENT RELATED POTENTIAL; HEMISPHERE; INTERHEMISPHERIC TRANSFER; MODEL; NERVE CELL; NERVE CELL NETWORK; NEUROIMAGING; PRIORITY JOURNAL; STRUCTURAL EQUATION MODELING; VISUAL STIMULATION;

ADOLESCENT; ADULT; AGE FACTORS; AGED; AGED, 80 AND OVER; ANALYSIS OF VARIANCE; ATTENTION; BRAIN MAPPING; DOMINANCE, CEREBRAL; EVOKED POTENTIALS, VISUAL; FEMALE; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MALE; MATHEMATICAL COMPUTING; MIDDLE AGED; NERVE NET; OCCIPITAL LOBE; PATTERN RECOGNITION, VISUAL; PHOTIC STIMULATION; REACTION TIME; STATISTICS; TOMOGRAPHY, OPTICAL COHERENCE; VISUAL CORTEX;

EID: 33646160196     PISSN: 10538119     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2005.11.019     Document Type: Article

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