Detecting functional connectivity in fmri using pca and regression analysis

Brain Topography

Volumn 22, Issue 2, 2009, Pages 134-144

  Zhong, Yuan ^a,b   Wang, Huinan ^a   Lu, Guangming ^b   Zhang, Zhiqiang ^b   Jiao, Qing ^b   Liu, Yijun ^c  

^a NANJING UNIVERSITY OF AERONAUTICS AND ASTRONAUTICS   (China)

^b NANJING UNIVERSITY   (China)

^c UNIVERSITY OF FLORIDA   (United States)

Author keywords

FMRI; Functional connectivity; Principal component analysis; Regression analysis; Resting state

Indexed keywords

ACCURACY; ADULT; AGED; AREA UNDER THE CURVE; ARTICLE; BRAIN REGION; CONTROLLED STUDY; FEMALE; FUNCTIONAL ANATOMY; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HUMAN; HUMAN EXPERIMENT; INDEPENDENT COMPONENT ANALYSIS; MEMBRANE STEADY POTENTIAL; MOTOR CORTEX; NORMAL HUMAN; PRINCIPAL COMPONENT ANALYSIS; PRIORITY JOURNAL; REGRESSION ANALYSIS; SIGNAL NOISE RATIO; SOMATOSENSORY CORTEX; TASK PERFORMANCE; TRUE POSITIVE RATE;

ADOLESCENT; ADULT; BRAIN; BRAIN MAPPING; COMPUTER SIMULATION; FEMALE; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MALE; MODELS, NEUROLOGICAL; NERVE NET; PRINCIPAL COMPONENT ANALYSIS; REGRESSION ANALYSIS; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 68849120683     PISSN: 08960267     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10548-009-0095-4     Document Type: Article

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