Methods for identifying subject-specific abnormalities in neuroimaging data

Human Brain Mapping

Volumn 35, Issue 11, 2014, Pages 5457-5470

  Mayer, Andrew R ^a,b,c   Bedrick, Edward J ^d   Ling, Josef M ^a   Toulouse, Trent ^a   Dodd, Andrew ^a  

^a Lovelace Biomedical and Environmental Research Institute   (United States)

^b UNIVERSITY OF NEW MEXICO SCHOOL OF MEDICINE   (United States)

^c UNIVERSITY OF NEW MEXICO   (United States)

^d UNIVERSITY OF COLORADO   (United States)

Author keywords

Diffusion tensor imaging; Mild traumatic brain injury; Neuroimaging; Subject specific abnormalities

Indexed keywords

ADULT; ARTICLE; BRAIN MAPPING; CLINICAL ARTICLE; DIFFUSION TENSOR IMAGING; FEMALE; FRACTIONAL ANISOTROPY; HUMAN; MALE; NEUROIMAGING; PRIORITY JOURNAL; SIMULATION; TRAUMATIC BRAIN INJURY; ADOLESCENT; ALGORITHM; ANISOTROPY; BIOLOGICAL MODEL; BRAIN; BRAIN INJURIES; CHILD; COMPUTER SIMULATION; FACTUAL DATABASE; MULTIPLE SCLEROSIS; NONLINEAR SYSTEM; PATHOLOGY; SCHIZOPHRENIA; STATISTICS AND NUMERICAL DATA; YOUNG ADULT;

ADOLESCENT; ADULT; ALGORITHMS; ANISOTROPY; BRAIN; BRAIN INJURIES; CHILD; COMPUTER SIMULATION; DATABASES, FACTUAL; DIFFUSION TENSOR IMAGING; FEMALE; HUMANS; MALE; MODELS, NEUROLOGICAL; MULTIPLE SCLEROSIS; NONLINEAR DYNAMICS; SCHIZOPHRENIA; YOUNG ADULT;

EID: 84911989354     PISSN: 10659471     EISSN: 10970193     Source Type: Journal    
DOI: 10.1002/hbm.22563     Document Type: Article

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