Imaging human connectomes at the macroscale

Nature Methods

Volumn 10, Issue 6, 2013, Pages 524-539

  Craddock, R Cameron ^a,b   Jbabdi, Saad ^c   Yan, Chao Gan ^a,b,d   Vogelstein, Joshua T ^a,e,f,g   Castellanos, F Xavier ^b,d   Di Martino, Adriana ^d   Kelly, Clare ^d   Heberlein, Keith ^h   Colcombe, Stan ^b   Milham, Michael P ^a,b  

^a CHILD MIND INSTITUTE   (United States)

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

^c UNIVERSITY OF OXFORD   (United Kingdom)

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

^e Duke University   (United States)

^f DUKE UNIVERSITY SCHOOL OF MEDICINE   (United States)

^g JOHNS HOPKINS UNIVERSITY   (United States)

^h SIEMENS CORPORATE RESEARCH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ANTERIOR CINGULATE; BLOOD OXYGENATION; BRAIN BLOOD FLOW; BRAIN MAPPING; CEREBROSPINAL FLUID; CONNECTOME; DIAGNOSTIC ACCURACY; DIFFUSION; DIFFUSION TENSOR IMAGING; DIFFUSION WEIGHTED IMAGING; FUNCTIONAL MAGNETIC RESONANCE IMAGING; GLUCOSE METABOLISM; GRAY MATTER; HUMAN; IMAGE PROCESSING; INFERIOR FRONTAL GYRUS; INFORMATION PROCESSING; MAGNETIC FIELD; MAGNETISM; MEASUREMENT; NERVE FIBER; NEUROANATOMY; NUCLEAR MAGNETIC RESONANCE IMAGING; POSITRON EMISSION TOMOGRAPHY; PRIORITY JOURNAL; REPRODUCIBILITY; REVIEW; SIGNAL NOISE RATIO; TASK PERFORMANCE; TIME; WHITE MATTER; BRAIN; CYTOLOGY; METHODOLOGY; PHENOTYPE; PHYSIOLOGY;

BRAIN; CONNECTOME; HUMANS; MAGNETIC RESONANCE IMAGING; PHENOTYPE;

MLCS; MLOWN;

EID: 84880814671     PISSN: 15487091     EISSN: 15487105     Source Type: Journal    
DOI: 10.1038/nmeth.2482     Document Type: Review

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