Evidence map›Paper›PMID 30982332›Full record

ArticleBrain connectivity2019

Dynamic Functional Network Analysis in Mild Traumatic Brain Injury.

Wenshuai Hou, Chandler Sours Rhodes, Li Jiang, Steven Roys, Jiachen Zhuo, Joseph JaJa, Rao P Gullapalli

Abstract read
In one paragraph

Article in Brain connectivity, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 2 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

22 citing papers in PubMed, 2 syntheses or guidelines 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

7 authors.

Wenshuai Hou1 Department of Electrical and Computer Engineering, University of Maryland Institute for Advanced Computer Services (UMIACS), College Park, Maryland.
Chandler Sours Rhodes2 Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, Maryland.
Li Jiang2 Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, Maryland.
Steven Roys2 Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, Maryland.
Jiachen Zhuo2 Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, Maryland.
Joseph JaJa1 Department of Electrical and Computer Engineering, University of Maryland Institute for Advanced Computer Services (UMIACS), College Park, Maryland.
Rao P Gullapalli2 Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, Maryland.

Funding

Longitudinal Sub-thalamic Structure and Functional Alterations in Mild Traumatic Brain InjuryR01NS105503 · NINDS · UNIVERSITY OF MARYLAND BALTIMORE · PI BADJATIA, NEERAJ, PRINCE, JERRY L · 2018 to 2022
$3.5M
NINDS NIH HHS R01 NS105503
6 · The paper itself

Abstract

Mild traumatic brain injury (mTBI) is one of the most common neurological disorders for which a subset of patients develops persistent postconcussive symptoms. Previous studies discovered abnormalities and disruptions in the brain functional networks of mTBI patients principally using static functional connectivity measures which assume that neural communication across the brain is static during resting state conditions. In this study, we examine the differences in dynamic neural communication between mTBI and control participants through the application of a combination of dynamic functional analysis and graph theoretic algorithms. Resting state functional magnetic resonance imaging data was obtained on 47 mTBI patients at the acute stage of injury and 30 demographically matched healthy control participants. Results show unique alterations in both the static and dynamic functional connectivity at the acute stage in mTBI patients who suffer persistent symptoms (≥6 months after injury). In addition, mTBI patients with postconcussion syndrome demonstrated a unique allocation of time in various brain states compared to both control participants and mTBI patients with favorable outcomes. These findings suggest that global damage to the overall communication across the brain in the acute stage may contribute to chronic mTBI symptoms. Dynamic functional analysis is a powerful tool that provides insights into the brain states and the innovative analysis methodology utilized may hold the potential to delineate patients predisposed to poor outcomes upon early presentation following injury.

Indexed as

AdultBrainBrain ConcussionBrain InjuriesBrain MappingFemaleFunctional NeuroimagingHumansMagnetic Resonance ImagingMaleMiddle AgedNerve NetNeuropsychological Testsdynamic functional connectivitygraph theorymild traumatic brain injurypostconcussive syndrome

Identifiers

PMID30982332
PMCPMC6648233

What OpenQuestion holds

Textmetadata
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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.