Defining a multimodal signature of remote sports concussions

The European Journal of Neuroscience
Sebastien TremblayLouis De Beaumont

Abstract

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.

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Citations

Feb 13, 2019·Psychological Medicine·Adrian B R ShatteSamantha J Teague
Mar 16, 2021·Neuropsychology Review·Hannah M LindseyTricia L Merkley
Apr 1, 2021·Journal of Neuroscience Research·Tim L T WiegandInga K Koerte
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