Assessing a signal model and identifying brain activity from fMRI data by a detrending-based fractal analysis

Brain Structure and Function

Volumn 212, Issue 5, 2008, Pages 417-426

  Hu, Jing ^a,e   Lee, Jae Min ^a   Gao, Jianbo ^a   White, Keith D ^b,c,d   Crosson, Bruce ^c,d  

^a J Crayton Pruitt Family Department of Biomedical Engineering   (United States)

^b University of Florida   (United States)

^c UNIVERSITY OF FLORIDA   (United States)

^d VETERANS AFFAIRS MEDICAL CENTER   (United States)

^e NONE   (United States)

Author keywords

Brain activation identification; Detrended fluctuation analysis; fMRI; Noise estimation

Indexed keywords

ACCURACY; ADULT; AGED; ARTICLE; COMPUTER PROGRAM; COMPUTER SIMULATION; ELECTROENCEPHALOGRAM; EXPERIMENTAL STUDY; FRACTAL ANALYSIS; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HUMAN; HUMAN EXPERIMENT; MALE; MATHEMATICAL ANALYSIS; MEDICAL ASSESSMENT; NORMAL HUMAN; PRIORITY JOURNAL; ROC CURVE; SENSITIVITY AND SPECIFICITY; SIGNAL NOISE RATIO;

ADULT; AGED; ALGORITHMS; ARTIFACTS; BRAIN MAPPING; COMPUTER SIMULATION; FRACTALS; HUMANS; MAGNETIC RESONANCE IMAGING; MALE; MODELS, NEUROLOGICAL; PHOTIC STIMULATION; PSYCHOMOTOR PERFORMANCE; REPRODUCIBILITY OF RESULTS; ROC CURVE; SIGNAL PROCESSING, COMPUTER-ASSISTED; TIME FACTORS;

EID: 38549129827     PISSN: 18632653     EISSN: 18632661     Source Type: Journal    
DOI: 10.1007/s00429-007-0166-9     Document Type: Article

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