Evidence map›Paper›PMID 41653507›Full record

ArticleNeuroImage. Clinical2026

Establishing the link between post-concussive symptoms and brain network dysfunction: A systematic scoping review of neuroimaging evidence.

Caerwen S Ellery, André N Avila, Melissa G Papini, Melinda Fitzgerald, Sarah C Hellewell

Abstract readScoping Review
In one paragraph

Article in NeuroImage. Clinical, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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

2 citing papers in PubMed.

  1. Article
  2. Article
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

5 authors.

Caerwen S ElleryCurtin Health Innovation Research Institute, Curtin University, Bentley 6102, Australia; Curtin Medical School, Curtin University, Bentley 6102, Australia; Perron Institute for Neurological and Translational Science, Nedlands 6009, Australia.
André N AvilaCurtin Health Innovation Research Institute, Curtin University, Bentley 6102, Australia; Curtin Medical School, Curtin University, Bentley 6102, Australia; Perron Institute for Neurological and Translational Science, Nedlands 6009, Australia.
Melissa G PapiniCurtin Health Innovation Research Institute, Curtin University, Bentley 6102, Australia; Curtin Medical School, Curtin University, Bentley 6102, Australia; Perron Institute for Neurological and Translational Science, Nedlands 6009, Australia.
Melinda FitzgeraldCurtin Health Innovation Research Institute, Curtin University, Bentley 6102, Australia; Perron Institute for Neurological and Translational Science, Nedlands 6009, Australia.
Sarah C HellewellCurtin Health Innovation Research Institute, Curtin University, Bentley 6102, Australia; Curtin Medical School, Curtin University, Bentley 6102, Australia; Centre for Neuromuscular & Neurological Disorders, University of Western Australia, Crawley 6009, Australia. Electronic address: sarah.hellewell@curtin.edu.au.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mild traumatic brain injury (mTBI) is a prevalent condition with symptoms spanning physical, psychological, cognitive, and sleep domains. Altered functional brain networks have been implicated in mTBI, but the relationship between these network changes and post-concussive symptoms remains poorly understood. This study is a systematic scoping review, adhering to PRISMA-ScR guidelines, assessing current literature on the association between brain network dysfunction and mTBI-related symptoms. Searches across ProQuest, Web of Science, and PubMed yielded 41 studies for full review, with most (n = 39) employing resting-state functional magnetic resonance imaging (rs-fMRI) to examine brain networks. The default mode network (DMN) was a primary focus, with studies reporting heterogeneous findings of increased and decreased connectivity both within and outside this network. Over 85% of studies used mTBI-specific symptom measures, and 50% employed detailed questionnaires for emotional and physical symptom assessment. Of these, 23 studies identified significant correlations between symptom scores and network connectivity. However, methodological inconsistencies, including variable analytic approaches, highlight the need for standardization in this field. Key areas for future research include incorporating multimodal imaging techniques, conducting longitudinal studies or extending recruitment time points, and stratifying analyses by sex to optimise identification of connectivity changes. Addressing these gaps is crucial for advancing our understanding of functional network alterations in mTBI and their clinical implications, ultimately supporting improved diagnostic and therapeutic strategies.

Indexed as

BrainNerve NetNeuroimagingPost-Concussion SyndromeHumansMagnetic Resonance ImagingConcussionFunctional brain network connectivityMagnetencephalographyMagnetic resonance imagingMild traumatic brain injuryResting-state functional connectivity

Identifiers

PMID41653507
PMCPMC12907635

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.