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Utility of a multimodal neurophysiologic assessment tool in distinguishing between individuals with and without a history of mild traumatic brain injury
Author(s) -
Martin Baruch,
Jeffrey T. Barth,
David X. Cifu,
Martin Leibman
Publication year - 2016
Publication title -
journal of rehabilitation research and development
Language(s) - English
Resource type - Journals
eISSN - 1938-1352
pISSN - 0748-7711
DOI - 10.1682/jrrd.2015.06.0120
Subject(s) - concussion , neurocognitive , balance (ability) , physical medicine and rehabilitation , traumatic brain injury , computer science , post concussion syndrome , poison control , eye movement , machine learning , psychology , artificial intelligence , injury prevention , cognition , medicine , neuroscience , environmental health , psychiatry
This was a preliminary validation study of a multimodal concussion assessment battery incorporating eye-tracking, balance, and neurocognitive tests on a new hardware platform, the Computerized Brain Injury Assessment System. Using receiver-operating characteristics analyses, (1) we identified a subset of the most discriminating neurophysiological assessment tests involving smooth pursuit eye movement tracking errors, corrective saccade counts, a balance score ratio sensitive to vestibular balance performance, and two neurocognitive tests of response speed and memory/incidental learning; (2) we demonstrated the enhancement in discriminatory capability of detecting concussion-related deficits through the combination of the identified subset of assessments; and (3) we demonstrated the effectiveness of a robust and readily implemented global scoring approach was demonstrated for both eye track and balance assessment tests. These results are significant in introducing a comprehensive solution for concussion assessment that incorporates an economical, compact, and mobile hardware system and an assessment battery that is multimodal and time efficient and whose efficacy has been demonstrated on a preliminary basis. This represents a significant step toward the goal of a system capable of making a dependable return-to-play/duty determination based on concussion likelihood.

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