Evidence map›Paper›PMID 29188492›Full record

ArticleBrain imaging and behavior2018

Investigating the effects of subconcussion on functional connectivity using mass-univariate and multivariate approaches.

Bryson B Reynolds, Amanda N Stanton, Sauson Soldozy, Howard P Goodkin, Max Wintermark, T Jason Druzgal

Abstract read
In one paragraph

Article in Brain imaging and behavior, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

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

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  19. Resting CMRONeuroImage. Clinical · 2019
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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

6 authors.

Bryson B ReynoldsDepartment of Radiology and Medical Imaging, Division of Neuroradiology, University of Virginia, Charlottesville, VA, 22908, USA.ORCID http://orcid.org/0000-0001-9196-1461
Amanda N StantonDepartment of Radiology and Medical Imaging, Division of Neuroradiology, University of Virginia, Charlottesville, VA, 22908, USA.
Sauson SoldozyDepartment of Radiology and Medical Imaging, Division of Neuroradiology, University of Virginia, Charlottesville, VA, 22908, USA.
Howard P GoodkinDepartment of Neurology, University of Virginia, Charlottesville, VA, 22908, USA.
Max WintermarkStanford University, Stanford, CA, 94305, USA.
T Jason DruzgalVanderbilt University Medical Center, Nashville, TN, 37232, USA. jasondruzgal@gmail.com.

Funding

Postdoctoral Training in Biomedical MRI and MRST32EB001628 · NIBIB · VANDERBILT UNIVERSITY MEDICAL CENTER · PI John C Gore · 2003 to 2026
$7.0M
PREDOCTORAL TRAINING IN NEUROSCIENCET32GM008328 · NIGMS · UNIVERSITY OF VIRGINIA CHARLOTTESVILLE · PI LEE, KEVIN SCOTT · 1992 to 2017
$3.9M
National Institute of Neurological Disorders and Stroke T32 GM 8328-21NIBIB NIH HHS T32 EB001628NIGMS NIH HHS T32 GM008328University of Virginia Health System Research Award
6 · The paper itself

Abstract

There are concerns about the effects of subconcussive head impacts in sport, but the effects of subconcussion on brain connectivity are not well understood. We hypothesized that college football players experience changes in brain functional connectivity not found in athletes competing in lower impact sports or healthy controls. These changes may be spatially heterogeneous across participants, requiring analysis methods that go beyond mass-univariate approaches commonly used in functional MRI (fMRI). To test this hypothesis, we analyzed resting-state fMRI data from college football (n = 15), soccer (n = 12), and lacrosse players (n = 16), and controls (n = 29) collected at preseason and postseason time points. Regional homogeneity (ReHo) and degree centrality (DC) were calculated as measures of local and long-range functional connectivity, respectively. Standard voxel-wise analysis and paired support vector machine (SVM) classification studied subconcussion's effects on local and global functional connectivity. Voxel-wise analyses yielded minimal findings, but SVM classification had high accuracy for college football's ReHo (87%, p = 0.009) and no other group. The findings suggest subconcussion results in spatially heterogeneous changes in local functional connectivity that may only be detectible with multivariate analyses. To determine if voxel-wise and SVM analyses had similar spatial patterns, region-average t-statistic and SVM weight values were compared using a measure of ranking distance. T-statistic and SVM weight rankings exhibited significantly low ranking distance values for all groups and metrics, demonstrating that the analyses converged on a similar underlying effect. Overall, this research suggests that subconcussion in football may produce local functional connectivity changes similar to concussion.

Indexed as

Magnetic Resonance ImagingAthletesAthletic InjuriesBrainBrain ConcussionBrain MappingFootballHumansMaleMultivariate AnalysisRacquet SportsRestSoccerSupport Vector MachineUniversitiesYoung AdultDegree centralityFmriMultivariateRegional homogeneitySubconcussion

Identifiers

PMID29188492
PMCPMC6141348

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.