Last updated on February 2018

Validation of Brain Function Assessment Algorithm for mTBI From Injury to Rehabilitation in College Athletes

Brief description of study

This study is designed to validate the performance of the algorithms to be used in future commercial device.

Detailed Study Description

Performance will be assessed by comparing the output of the algorithms, which were developed by correlating changes in brain electrical activity (EEG) and other measures of brain function to mTBI (e.g. concussion) in the sports environment.

Injured athletes will be studied during the season at time of injury, and then longitudinally weeks after injury. Matched controls will be tested following the same schedule as the injured athletes.

Clinical Study Identifier: NCT02957461

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Robert J Elbin, PhD

University of Arkansas
Fayetteville, AR United States
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Douglas Casa, PhD

University of Connecticut
Storrs, CT United States
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Gianluca Del Rossi

University of South Florida
Tampa, FL United States
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Tracey Covassin, PhD

Michigan State University
East Lansing, MI United States
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Kian Merchant-Borna

University of Rochester Medical Center
Rochester, NY United States
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Christopher Neville, PhD

SUNY Upstate Medical University
Syracuse, NY United States
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Susan Yeargin, Ph.D., ATC

University of South Carolina
Columbia, SC United States
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David Schnyer, PhD

University of Texas - Austin
Austin, TX United States
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