title: Stability of an ERP-based measure of brain network activation (BNA) in athletes: A new electrophysiological assessment tool for concussion.
abstract: To determine test-re-test reliabilities of novel Evoked Response Potential (ERP)-based Brain Network Activation (BNA) scores in healthy athletes.
  
  
  
  Observational, repeated-measures study.
  
  
  
  Forty-two healthy male and female high school and collegiate athletes completed auditory oddball and go/no-go ERP assessments at baseline, 1 week, 6 weeks and 1 year. The BNA algorithm was applied to the ERP data, considering electrode location, frequency band, peak latency and normalized amplitude to generate seven unique BNA scores for each testing session.
  
  
  
  Mean BNA scores, intra-class correlation coefficient (ICC) values and reliable change (RC) values were calculated for each of the seven BNA networks. BNA scores ranged from 46.3 ± 34.9 to 69.9 ± 22.8, ICC values ranged from 0.46-0.65 and 95% RC values ranged from 38.3-68.1 across the seven networks.
  
  
  
  The wide range of BNA scores observed in this population of healthy athletes suggests that a single BNA score or set of BNA scores from a single after-injury test session may be difficult to interpret in isolation without knowledge of the athlete's own baseline BNA score(s) and/or the results of serial tests performed at additional time points. The stability of each BNA network should be considered when interpreting test-re-test BNA score changes.
authors.affiliation: a Department of Physical Medicine and Rehabilitation.|b Michigan NeuroSport.
authors.forename: James T
authors.initials: JT
authors.lastname: Eckner
authors.affiliation: b Michigan NeuroSport.|c School of Kinesiology.|d NeuroTrauma Research Laboratory.
authors.forename: Ashley
authors.initials: A
authors.lastname: Rettmann
authors.affiliation: e Department of Statistics.
authors.forename: Naveen
authors.initials: N
authors.lastname: Narisetty
authors.affiliation: b Michigan NeuroSport.
authors.forename: Jacob
authors.initials: J
authors.lastname: Greer
authors.affiliation: b Michigan NeuroSport.
authors.forename: Brandon
authors.initials: B
authors.lastname: Moore
authors.affiliation: b Michigan NeuroSport.
authors.forename: Susan
authors.initials: S
authors.lastname: Brimacombe
authors.affiliation: e Department of Statistics.
authors.forename: Xuming
authors.initials: X
authors.lastname: He
authors.affiliation: b Michigan NeuroSport.|c School of Kinesiology.|d NeuroTrauma Research Laboratory.|f University of Michigan Injury Center , University of Michigan , Ann Arbor , MI , USA.
authors.forename: Steven P
authors.initials: SP
authors.lastname: Broglio
mesh_terms: D000293:Adolescent; D000465:Algorithms; D056352:Athletes; D001265:Athletic Injuries / Q000175:diagnosis* / Q000503:physiopathology; D001921:Brain / Q000502:physiology*; D001924:Brain Concussion / Q000175:diagnosis* / Q000503:physiopathology; D004594:Electrophysiology; D005071:Evoked Potentials / Q000502:physiology*; D005260:Female; D006801:Humans; D008297:Male; D009415:Nerve Net / Q000502:physiology*; D055815:Young Adult
keywords: Athlete; brain network activation; concussion; electroencephalography; event-related potential; reliability