This is a multi-site study, funded by the National Institutes of Neurological Disorders and Stroke, awarded to Catherine Chong, PhD (a neuroscientist at Mayo Clinic). There is currently no recognized way of accurately predicting who will recover from post-traumatic headache (PTH) during the acute phase following concussion, versus who will go on to develop persistent post-traumatic headache (PPTH), a condition that is difficult to treat effectively. This study will use machine-learning algorithms to identify brain imaging and clinical feature biomarkers that distinguish individuals at high risk for developing PPTH from patients who are likely to acutely recover from PTH (within three months post-concussion). Results of this study will determine important clinical factors and neuropathological mechanisms underlying PPTH and will investigate the contribution of neuroimaging data, clinical symptoms, and speech signatures on predicting PTH persistence. Additionally, these results will determine the relative predictive weight of specific clinical factors and neuroimaging features for prognosticating which individuals are at higher risk for developing PPTH.
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