The minimal preprocessing pipelines for the Human Connectome Project

NeuroImage

Volumn 80, Issue , 2013, Pages 105-124

  Glasser, Matthew F ^a   Sotiropoulos, Stamatios N ^b   Wilson, J Anthony ^c   Coalson, Timothy S ^a   Fischl, Bruce ^d,e   Andersson, Jesper L ^b   Xu, Junqian ^f,g   Jbabdi, Saad ^b   Webster, Matthew ^b   Polimeni, Jonathan R ^d   Van Essen, David C ^a   Jenkinson, Mark ^b  

^a WASHINGTON UNIVERSITY SCHOOL OF MEDICINE   (United States)

^b UNIVERSITY OF OXFORD   (United Kingdom)

^c WASHINGTON UNIVERSITY SCHOOL OF MEDICINE   (United States)

^d MASSACHUSETTS GENERAL HOSPITAL   (United States)

^e MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

^f UNIVERSITY OF MINNESOTA MEDICAL SCHOOL   (United States)

^g MOUNT SINAI SCHOOL OF MEDICINE   (United States)

Author keywords

CIFTI; Grayordinates; Human Connectome Project; Image analysis pipeline; Multi modal data integration; Surface based analysis

Indexed keywords

MYELIN;

ARTICLE; ARTIFACT REDUCTION; BOLD SIGNAL; BRAIN MAPPING; BRAIN SIZE; CONNECTOME; DATA PROCESSING; ECHO PLANAR IMAGING; FUNCTIONAL MAGNETIC RESONANCE IMAGING; GRAY MATTER; HUMAN; HUMAN CONNECTOME PROJECT; IMAGE ANALYSIS; IMAGE PROCESSING; IMAGE QUALITY; INFORMATION STORAGE; NEUROIMAGING; NUCLEAR MAGNETIC RESONANCE IMAGING; PRIORITY JOURNAL; SIGNAL NOISE RATIO;

CIFTI; GRAYORDINATES; HUMAN CONNECTOME PROJECT; IMAGE ANALYSIS PIPELINE; MULTI-MODAL DATA INTEGRATION; SURFACE-BASED ANALYSIS;

ALGORITHMS; BRAIN; CONNECTOME; DIFFUSION TENSOR IMAGING; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MODELS, ANATOMIC; MODELS, NEUROLOGICAL; NERVE NET;

EID: 84880332607     PISSN: 10538119     EISSN: 10959572     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2013.04.127     Document Type: Article

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