  While diffusion MRI has been extremely promising in the study of MTBI,
identifying patients with recent MTBI remains a challenge. The literature is
mixed with regard to localizing injury in these patients, however, gray matter
such as the thalamus and white matter including the corpus callosum and frontal
deep white matter have been repeatedly implicated as areas at high risk for
injury. The purpose of this study is to develop a machine learning framework to
classify MTBI patients and controls using features derived from multi-shell
diffusion MRI in the thalamus, frontal white matter and corpus callosum.
