Evidence map›Paper›PMID 34023667›Full record

ArticleNeuroImage. Clinical2021

Network topology changes in chronic mild traumatic brain injury (mTBI).

Elias Boroda, Michael Armstrong, Casey S Gilmore, Carrie Gentz, Alicia Fenske, Mark Fiecas, Tim Hendrickson, Donovan Roediger, Bryon Mueller, Randy Kardon and 1 more

Open access · goldAbstract read
In one paragraph

Article in NeuroImage. Clinical, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.0field-weighted citation impact, top 14% 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

15 citing papers in PubMed, 23 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

11 authors at 4 institutions in 1 country.

Elias BorodaDepartment of Psychiatry and Behavioral Sciences, University of Minnesota, Minneapolis, MN, USA. Electronic address: borod002@umn.edu.
Michael ArmstrongMinneapolis VA Health Care System, Minneapolis, MN, USA.
Casey S GilmoreMinneapolis VA Health Care System, Minneapolis, MN, USA.
Carrie GentzMinneapolis VA Health Care System, Minneapolis, MN, USA.
Alicia FenskeMinneapolis VA Health Care System, Minneapolis, MN, USA.
Mark FiecasCenter for the Prevention and Treatment of Visual Loss, Iowa City VA Healthcare System, Iowa City, IA, USA.
Tim HendricksonUniversity of Minnesota Informatics Institute, University of Minnesota, Minneapolis, MN, USA.
Donovan RoedigerDepartment of Psychiatry and Behavioral Sciences, University of Minnesota, Minneapolis, MN, USA.
Bryon MuellerDepartment of Psychiatry and Behavioral Sciences, University of Minnesota, Minneapolis, MN, USA.
Randy KardonUniversity of Minnesota Informatics Institute, University of Minnesota, Minneapolis, MN, USA; Department of Ophthalmology and Visual Sciences, University of Iowa, Iowa City, IA, USA.
Kelvin LimDepartment of Psychiatry and Behavioral Sciences, University of Minnesota, Minneapolis, MN, USA; Minneapolis VA Health Care System, Minneapolis, MN, USA; School of Public Health, Department of Biostatistics, University of Minnesota, Minneapolis, MN, USA.
University of Minnesota · USMinneapolis VA Health Care System · USIowa City VA Health Care System · USUniversity of Iowa · US

Funding

CENC- Longitudinal Cohort StudyI01CX001135 · VA · VA VETERANS ADMINISTRATION HOSPITAL · PI BELANGER, HEATHER G, CIFU, DAVID X. · 2015 to 2019
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Center for the Prevention and Treatment of Visual LossI50RX003002 · VA · IOWA CITY VA MEDICAL CENTER · PI RANDY H. KARDON, MARKUS H. KUEHN · 2019 to 2026
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CSRD VA I01 CX001135RRD VA I50 RX003002
6 · The paper itself

Abstract

backgroundIn mild traumatic brain injury (mTBI), diffuse axonal injury results in disruption of functional networks in the brain and is thought to be a major contributor to cognitive dysfunction even years after trauma.

objectiveFew studies have assessed longitudinal changes in network topology in chronic mTBI. We utilized a graph theoretical approach to investigate alterations in global network topology based on resting-state functional connectivity in veterans with chronic mTBI.

methods50 veterans with chronic mTBI (mean of 20.7 yrs. from trauma) and 40 age-matched controls underwent two functional magnetic resonance imaging scans 18 months apart. Graph theory analysis was used to quantify network topology measures (density, clustering coefficient, global efficiency, and modularity). Hierarchical linear mixed models were used to examine longitudinal change in network topology.

resultsWith all network measures, we found a significant group × time interaction. At baseline, brain networks of individuals with mTBI were less clustered (p = 0.03) and more modular (p = 0.02) than those of HC. Over time, the mTBI networks became more densely connected (p = 0.002), with increased clustering (p = 0.001) and reduced modularity (p < 0.001). Network topology did not change across time in HC.

conclusionThese findings demonstrate that brain networks of individuals with mTBI remain plastic decades after injury and undergo significant changes in network topology even at the later phase of the disease.

Indexed as

Brain ConcussionBrain InjuriesBrainBrain MappingHumansInfantMagnetic Resonance ImagingfMRIGraph theoryTBI

Identifiers

PMID34023667
PMCPMC8163989
OpenAlexW3157767625

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.