Evidence map›Paper›PMID 27245767›Full record

ArticleBrain injury2016

Stability of an ERP-based measure of brain network activation (BNA) in athletes: A new electrophysiological assessment tool for concussion.

James T Eckner, Ashley Rettmann, Naveen Narisetty, Jacob Greer, Brandon Moore, Susan Brimacombe, Xuming He, Steven P Broglio

Abstract read
In one paragraph

Article in Brain injury, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.4field-weighted citation impact, top 18% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Observational
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 2 countries.

James T Ecknera Department of Physical Medicine and Rehabilitation.
Ashley Rettmannb Michigan NeuroSport.
Naveen Narisettye Department of Statistics.
Jacob Greerb Michigan NeuroSport.
Brandon Mooreb Michigan NeuroSport.
Susan Brimacombeb Michigan NeuroSport.
Xuming Hee Department of Statistics.
Steven P Brogliob Michigan NeuroSport.
Ontario Neurotrauma Foundation · CAUniversity of Michigan–Ann Arbor · US

Funding

Rehabilitation Medicine Scientist Training (RMST) ProgramK12HD001097 · NICHD · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BONINGER, MICHAEL L. · 1995 to 2016
$14.1M
The impact of concussive and sub-concussive blows on brain network activityR15NS081691 · NINDS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BROGLIO, STEVEN P. · 2012 to 2015
$514k
Evaluating the Head's Response to Impulsive Forces in Young AthletesK23HD078502 · NICHD · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ECKNER, JAMES TRAVIS · 2014 to 2016
$396k
NICHD NIH HHS K12 HD001097NICHD NIH HHS K23 HD078502NICHD NIH HHS L30 HD070467NINDS NIH HHS R15 NS081691
6 · The paper itself

Abstract

PRIMARY

objectiveTo determine test-re-test reliabilities of novel Evoked Response Potential (ERP)-based Brain Network Activation (BNA) scores in healthy athletes. RESEARCH

designObservational, repeated-measures study. METHODS AND

designForty-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. MAIN OUTCOMES AND

resultsMean 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.

conclusionsThe 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.

Indexed as

AthletesAdolescentAlgorithmsAthletic InjuriesBrainBrain ConcussionElectrophysiologyEvoked PotentialsFemaleHumansMaleNerve NetYoung AdultAthletebrain network activationconcussionelectroencephalographyevent-related potentialreliability

Identifiers

PMID27245767
PMCPMC4988883
OpenAlexW2417841741

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.