Validation of a Machine Learning Brain Electrical Activity-Based Index to Aid in Diagnosing Concussion Among Athletes.

Journal: JAMA network open
PMID:

Abstract

IMPORTANCE: An objective, reliable indicator of the presence and severity of concussive brain injury and of the readiness for the return to activity has the potential to reduce concussion-related disability.

Authors

  • Jeffrey J Bazarian
    Department of Emergency Medicine, University of Rochester School of Medicine, Rochester, New York.
  • Robert J Elbin
    Office for Sports Concussion Research, University of Arkansas, Fayetteville.
  • Douglas J Casa
    Department of Kinesiology, Human Performance Laboratory, University of Connecticut, Storrs, CT 06269, USA.
  • Gillian A Hotz
    UHealth Concussion Program, University of Miami, Miami, Florida.
  • Christopher Neville
    Department of Physical Therapy Education, SUNY Upstate Medical University, Syracuse, New York.
  • Rebecca M Lopez
    Morsani College of Medicine, Orthopedics and Sports Medicine, University of South Florida, Tampa.
  • David M Schnyer
    Department of Psychology, University of Texas at Austin, Austin, TX, USA. Electronic address: schnyer@utexas.edu.
  • Susan Yeargin
    Arnold School of Public Health, University of South Carolina, Columbia.
  • Tracey Covassin
    Department of Kinesiology, Michigan State University, East Lansing.