Standardizing the intrinsic brain: Towards robust measurement of inter-individual variation in 1000 functional connectomes

NeuroImage

Volumn 80, Issue , 2013, Pages 246-262

  Yan, Chao Gan ^a,b,c   Craddock, R Cameron ^a,b   Zuo, Xi Nian ^d   Zang, Yu Feng ^e   Milham, Michael P ^a,b  

^a NATHAN S KLINE INSTITUTE FOR PSYCHIATRIC RESEARCH   (United States)

^b CHILD MIND INSTITUTE   (United States)

^c NEW YORK UNIVERSITY CHILD STUDY CENTER   (United States)

^d INSTITUTE OF PSYCHOLOGY   (China)

^e HANGZHOU NORMAL UNIVERSITY   (China)

Author keywords

Data aggregation; Functional connectomics; Resting state fMRI; Standardization; Test retest reliability

Indexed keywords

AGE DISTRIBUTION; ARTICLE; BRAIN FUNCTION; BRAIN REGION; CONNECTOME; CONTROLLED STUDY; FEMALE; FUNCTIONAL MAGNETIC RESONANCE IMAGING; GRAY MATTER; HUMAN; IMAGE ANALYSIS; IMAGE QUALITY; INTERMETHOD COMPARISON; MALE; PRIORITY JOURNAL; RELIABILITY; STANDARDIZATION; TEST RETEST RELIABILITY;

DATA AGGREGATION; FUNCTIONAL CONNECTOMICS; RESTING-STATE FMRI; STANDARDIZATION; TEST-RETEST RELIABILITY;

ANIMALS; BRAIN; CONNECTOME; DATA INTERPRETATION, STATISTICAL; HUMANS; MAGNETIC RESONANCE IMAGING; MODELS, ANATOMIC; MODELS, NEUROLOGICAL; NERVE NET; REFERENCE VALUES; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 84880333261     PISSN: 10538119     EISSN: 10959572     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2013.04.081     Document Type: Article

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