TY - JOUR PY - 2017// TI - Defining a multimodal signature of remote sports concussions JO - European journal of neuroscience A1 - Tremblay, Sebastien A1 - Iturria-Medina, Yasser A1 - Mateos-Pérez, José María A1 - Evans, Alan C. A1 - de Beaumont, Louis SP - 1956 EP - 1967 VL - 46 IS - 4 N2 - Sports-related concussions lead to persistent anomalies of the brain structure and function that interact with the effects of normal ageing. Although post-mortem investigations have proposed a bio-signature of remote concussions, there is still no clear in vivo signature. In the current study, we characterized white matter integrity in retired athletes with a history of remote concussions by conducting a full-brain, diffusion-based connectivity analysis. Next, we combined MRI diffusion markers with MR spectroscopic, MRI volumetric, neurobehavioral and genetic markers to identify a multidimensional in vivo signature of remote concussions. Machine learning classifiers trained to detect remote concussions using this signature achieved detection accuracies up to 90% (sensitivity: 93%, specificity: 87%). These automated classifiers identified white matter integrity as the hallmark of remote concussions and could provide, following further validation, a preliminary unbiased detection tool to help medical and legal experts rule out concussion history in patients presenting or complaining about late-life abnormal cognitive decline.

© 2017 Federation of European Neuroscience Societies and John Wiley & Sons Ltd.

Language: en

LA - en SN - 0953-816X UR - http://dx.doi.org/10.1111/ejn.13583 ID - ref1 ER -