Evidence map›Paper›PMID 26091725›Full record

ArticleBrain imaging and behavior2016

Preliminary evidence of reduced brain network activation in patients with post-traumatic migraine following concussion.

Anthony P Kontos, Amit Reches, R J Elbin, Dalia Dickman, Ilan Laufer, Amir B Geva, Galit Shacham, Ryan DeWolf, Michael W Collins

Abstract read
In one paragraph

Article in Brain imaging and behavior, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 11% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 37 citations in OpenAlex.

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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

9 authors at 2 institutions in 1 country.

Anthony P KontosDepartment of Orthopaedic Surgery/UPMC Sports Medicine Concussion Program, University of Pittsburgh, 3200 South Water St, Pittsburgh, PA, 15203, USA. akontos@pitt.edu.
Amit RechesElMindA, Ltd, Tel Aviv, Israel.
R J ElbinDepartment of Health, Human Performance and Recreation/Office for Sport Concussion Research, University of Arkansas, Fayetteville, AR, 72701, USA.
Dalia DickmanElMindA, Ltd, Tel Aviv, Israel.
Ilan LauferElMindA, Ltd, Tel Aviv, Israel.
Amir B GevaElMindA, Ltd, Tel Aviv, Israel.
Galit ShachamElMindA, Ltd, Tel Aviv, Israel.
Ryan DeWolfDepartment of Orthopaedic Surgery/UPMC Sports Medicine Concussion Program, University of Pittsburgh, 3200 South Water St, Pittsburgh, PA, 15203, USA.
Michael W CollinsDepartment of Orthopaedic Surgery/UPMC Sports Medicine Concussion Program, University of Pittsburgh, 3200 South Water St, Pittsburgh, PA, 15203, USA.
University of Pittsburgh · USUniversity of Arkansas at Fayetteville · US

Funding

Balance-Attention Interference Following ConcussionK01DC012332 · NIDCD · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI KONTOS, ANTHONY P · 2013 to 2017
$741k
NIDCD NIH HHS K01 DC012332
6 · The paper itself

Abstract

Post-traumatic migraine (PTM) (i.e., headache, nausea, light and/or noise sensitivity) is an emerging risk factor for prolonged recovery following concussion. Concussions and migraine share similar pathophysiology characterized by specific ionic imbalances in the brain. Given these similarities, patients with PTM following concussion may exhibit distinct electrophysiological patterns, although researchers have yet to examine the electrophysiological brain activation in patients with PTM following concussion. A novel approach that may help differentiate brain activation in patients with and without PTM is brain network activation (BNA) analysis. BNA involves an algorithmic analysis applied to multichannel EEG-ERP data that provides a network map of cortical activity and quantitative data during specific tasks. A prospective, repeated measures design was used to evaluate BNA (during Go/NoGo task), EEG-ERP, cognitive performance, and concussion related symptoms at 1, 2, 3, and 4 weeks post-injury intervals among athletes with a medically diagnosed concussion with PTM (n = 15) and without (NO-PTM) (n = 22); and age, sex, and concussion history matched controls without concussion (CONTROL) (n = 20). Participants with PTM had significantly reduced BNA compared to NO-PTM and CONTROLS for Go and NoGo components at 3 weeks and for NoGo component at 4 weeks post-injury. The PTM group also demonstrated a more prominent deviation of network activity compared to the other two groups over a longer period of time. The composite BNA algorithm may be a more sensitive measure of electrophysiological change in the brain that can augment established cognitive assessment tools for detecting impairment in individuals with PTM.

Indexed as

AdolescentAlgorithmsAthletesAthletic InjuriesBrainBrain ConcussionCognitionElectroencephalographyEvoked PotentialsFemaleHumansMaleMigraine DisordersNeuropsychological TestsPost-Concussion SyndromeProspective StudiesBrain network activationElectroencephalographyPost-traumatic migraineSport-related concussion

Identifiers

PMID26091725
PMCPMC4685015
OpenAlexW581462204

What OpenQuestion holds

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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.