Statistical machine learning to identify traumatic brain injury (TBI) from structural disconnections of white matter networks

NeuroImage

Volumn 129, Issue , 2016, Pages 247-259

  Mitra, Jhimli ^a,e   Shen, Kai kai ^a   Ghose, Soumya ^a,e   Bourgeat, Pierrick ^a   Fripp, Jurgen ^a   Salvado, Olivier ^a   Pannek, Kerstin ^d   Taylor, D Jamie ^c   Mathias, Jane L ^b   Rose, Stephen ^a  

^a CSIRO   (Australia)

^b UNIVERSITY OF ADELAIDE   (Australia)

^c ROYAL ADELAIDE HOSPITAL   (Australia)

^d IMPERIAL COLLEGE LONDON   (United Kingdom)

^e CASE WESTERN RESERVE UNIVERSITY   (United States)

Author keywords

Diffusion tractography; Machine learning; Network based statistics; Structural network connections; Traumatic brain injury

Indexed keywords

ADULT; ARTICLE; BRAIN CORTEX; CONNECTOME; CONTROLLED STUDY; DIFFUSE AXONAL INJURY; DISEASE CLASSIFICATION; FEMALE; FRACTIONAL ANISOTROPY; HUMAN; MACHINE LEARNING; MAJOR CLINICAL STUDY; MALE; NEUROIMAGING; PREDICTIVE VALUE; PRIORITY JOURNAL; SUBCORTEX; TRAUMATIC BRAIN INJURY; WHITE MATTER; COMPUTER ASSISTED DIAGNOSIS; DIAGNOSTIC IMAGING; DIFFUSION TENSOR IMAGING; MIDDLE AGED; NERVE TRACT; PATHOLOGY; PROCEDURES;

ADULT; BRAIN INJURIES, TRAUMATIC; CONNECTOME; DIFFUSE AXONAL INJURY; DIFFUSION TENSOR IMAGING; FEMALE; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MACHINE LEARNING; MALE; MIDDLE AGED; NEURAL PATHWAYS; WHITE MATTER;

EID: 84956925685     PISSN: 10538119     EISSN: 10959572     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2016.01.056     Document Type: Article

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