Generalized RAICAR: Discover homogeneous subject (sub)groups by reproducibility of their intrinsic connectivity networks

NeuroImage

Volumn 63, Issue 1, 2012, Pages 403-414

  Yang, Zhi ^a,b   Zuo, Xi Nian ^a   Wang, Peipei ^c   Li, Zhihao ^d   LaConte, Stephen M ^e   Bandettini, Peter A ^b   Hu, Xiaoping P ^d  

^a INSTITUTE OF PSYCHOLOGY   (China)

^b NATIONAL INSTITUTE OF MENTAL HEALTH   (United States)

^c CAPITAL MEDICAL UNIVERSITY   (China)

^d EMORY UNIVERSITY SCHOOL OF MEDICINE   (United States)

^e VIRGINIA TECH CARILION SCHOOL OF MEDICINE   (United States)

Author keywords

Exploratory analysis; Group discovery; Independent component analysis; Reproducibility; Resting state; Sample homogeneity

Indexed keywords

ADULT; AGED; ALGORITHM; ARTICLE; BRAIN FUNCTION; EXPLORATORY RESEARCH; FEMALE; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HUMAN; HUMAN EXPERIMENT; INDEPENDENT COMPONENT ANALYSIS; NERVE CELL NETWORK; NONPARAMETRIC TEST; NORMAL HUMAN; PRIORITY JOURNAL; RELIABILITY; REPRODUCIBILITY; REST; SIMULATION; VALIDATION PROCESS;

AGED; ALGORITHMS; BRAIN; BRAIN MAPPING; CONNECTOME; DATA INTERPRETATION, STATISTICAL; FEMALE; HUMANS; IMAGING, THREE-DIMENSIONAL; MAGNETIC RESONANCE IMAGING; MALE; NERVE NET; PATTERN RECOGNITION, AUTOMATED; PRINCIPAL COMPONENT ANALYSIS; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; YOUNG ADULT;

EID: 84864401794     PISSN: 10538119     EISSN: 10959572     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2012.06.060     Document Type: Article

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