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

A Machine Learning Approach For Identifying Patients with Mild Traumatic Brain Injury Using Diffusion MRI Modeling