Precision Functional Mapping of Individual Human Brains

Neuron

Volumn 95, Issue 4, 2017, Pages 791-807.e7

  Gordon, Evan M ^a,b   Laumann, Timothy O ^c   Gilmore, Adrian W ^d,g   Newbold, Dillan J ^c   Greene, Deanna J ^c,e   Berg, Jeffrey J ^f   Ortega, Mario ^c   Hoyt Drazen, Catherine ^c   Gratton, Caterina ^c   Sun, Haoxin ^c   Hampton, Jacqueline M ^c   Coalson, Rebecca S ^c,e   Nguyen, Annie L ^c   McDermott, Kathleen B ^e,g   Shimony, Joshua S ^e   Snyder, Abraham Z ^c,e   Schlaggar, Bradley L ^c,e   Petersen, Steven E ^c,e,g,h   Nelson, Steven M ^a,b,i   Dosenbach, Nico U F ^c  

^a VISN 17 Center of Excellence for Research on Returning War Veterans   (United States)

^b UNIVERSITY OF TEXAS AT DALLAS   (United States)

^c WASHINGTON UNIVERSITY SCHOOL OF MEDICINE   (United States)

^d NATIONAL INSTITUTE OF MENTAL HEALTH   (United States)

^e WASHINGTON UNIVERSITY SCHOOL OF MEDICINE   (United States)

^f NEW YORK UNIVERSITY   (United States)

^g WASHINGTON UNIVERSITY   (United States)

^h WASHINGTON UNIVERSITY IN ST LOUIS   (United States)

ⁱ BAYLOR UNIVERSITY   (United States)

Author keywords

brain networks; fMRI; functional connectivity; individual variability; myelin mapping

Indexed keywords

ADULT; ARTICLE; BRAIN MAPPING; CONNECTOME; EVENT RELATED POTENTIAL; FEMALE; FUNCTIONAL CONNECTIVITY; FUNCTIONAL MAGNETIC RESONANCE IMAGING; HUMAN; HUMAN EXPERIMENT; LANGUAGE; MALE; MEMORY; MOTOR PERFORMANCE; NEUROPSYCHOLOGICAL TEST; NORMAL HUMAN; PRIORITY JOURNAL; TASK PERFORMANCE; ANALYSIS OF VARIANCE; BIOLOGICAL MODEL; BLOOD; BRAIN; DIAGNOSTIC IMAGING; IMAGE PROCESSING; INDIVIDUALITY; MYELIN SHEATH; NERVE TRACT; NUCLEAR MAGNETIC RESONANCE IMAGING; PHYSIOLOGY; REPRODUCIBILITY; REST; YOUNG ADULT;

OXYGEN;

ADULT; ANALYSIS OF VARIANCE; BRAIN; BRAIN MAPPING; CONNECTOME; FEMALE; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; INDIVIDUALITY; MAGNETIC RESONANCE IMAGING; MALE; MODELS, NEUROLOGICAL; MYELIN SHEATH; NEURAL PATHWAYS; OXYGEN; REPRODUCIBILITY OF RESULTS; REST; YOUNG ADULT;

EID: 85026256549     PISSN: 08966273     EISSN: 10974199     Source Type: Journal    
DOI: 10.1016/j.neuron.2017.07.011     Document Type: Article

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