Evidence map›Paper›PMID 33767293›Full record

ArticleScientific reports2021

Long-term changes in the small-world organization of brain networks after concussion.

N W Churchill, M G Hutchison, S J Graham, T A Schweizer

Abstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

12 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

4 authors.

N W ChurchillKeenan Research Centre for Biomedical Science, St. Michael's Hospital, Toronto, ON, Canada. nchurchill.research@gmail.com.
M G HutchisonKeenan Research Centre for Biomedical Science, St. Michael's Hospital, Toronto, ON, Canada.
S J GrahamPhysical Sciences Platform, Sunnybrook Research Institute, Sunnybrook Health Science Center, Toronto, ON, Canada.
T A SchweizerKeenan Research Centre for Biomedical Science, St. Michael's Hospital, Toronto, ON, Canada.

Funding

CIHR RN294001-367456CIHR RN356342-401065
6 · The paper itself

Abstract

There is a growing body of literature using functional MRI to study the acute and long-term effects of concussion on functional brain networks. To date, studies have largely focused on changes in pairwise connectivity strength between brain regions. Less is known about how concussion affects whole-brain network topology, particularly the "small-world" organization which facilitates efficient communication at both local and global scales. The present study addressed this knowledge gap by measuring local and global efficiency of 26 concussed athletes at acute injury, return to play (RTP) and one year post-RTP, along with a cohort of 167 athletic controls. On average, concussed athletes showed no alterations in local efficiency but had elevated global efficiency at acute injury, which had resolved by RTP. Athletes with atypically long recovery, however, had reduced global efficiency at 1 year post-RTP, suggesting long-term functional abnormalities for this subgroup. Analyses of nodal efficiency further indicated that global network changes were driven by high-efficiency visual and sensorimotor regions and low-efficiency frontal and subcortical regions. This study provides evidence that concussion causes subtle acute and long-term changes in the small-world organization of the brain, with effects that are related to the clinical profile of recovery.

Indexed as

ConnectomeAdultAthletic InjuriesBrainBrain ConcussionCase-Control StudiesCross-Sectional StudiesFemaleFunctional NeuroimagingHumansLongitudinal StudiesMaleYoung Adult

Identifiers

PMID33767293
PMCPMC7994718

What OpenQuestion holds

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Registered trials

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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.