Evidence map›Paper›PMID 34862683›Full record

ArticleHuman brain mapping2022

The "vestibular neuromatrix": A proposed, expanded vestibular network from graph theory in post-concussive vestibular dysfunction.

Jeremy L Smith, Anna Trofimova, Vishwadeep Ahluwalia, Jose J Casado Garrido, Julia Hurtado, Rachael Frank, April Hodge, Russell K Gore, Jason W Allen

Open access · goldAbstract read
In one paragraph

Article in Human brain mapping, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.0field-weighted citation impact, top 24% 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

13 citing papers in PubMed, 17 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

9 authors at 3 institutions in 1 country.

Jeremy L SmithDepartment of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, Georgia, USA.ORCID 0000-0003-0841-5297
Anna TrofimovaDepartment of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, Georgia, USA.ORCID 0000-0002-3110-7914
Vishwadeep AhluwaliaGeorgia State University, Atlanta, Georgia, USA.ORCID 0000-0003-3143-5835
Jose J Casado GarridoWallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, Georgia, USA.ORCID 0000-0002-4990-6052
Julia HurtadoShepherd Center, Atlanta, Georgia, USA.ORCID 0000-0003-1565-5838
Rachael FrankShepherd Center, Atlanta, Georgia, USA.ORCID 0000-0002-1120-0521
April HodgeShepherd Center, Atlanta, Georgia, USA.ORCID 0000-0003-4244-9917
Russell K GoreWallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, Georgia, USA.ORCID 0000-0002-8012-1579
Jason W AllenDepartment of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, Georgia, USA.ORCID 0000-0002-5274-1105
Georgia Institute of Technology · USShepherd Center · USEmory University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Convergent clinical and neuroimaging evidence suggests that higher vestibular function is subserved by a distributed network including visuospatial, cognitive-affective, proprioceptive, and integrative brain regions. Clinical vestibular syndromes may perturb this network, resulting in deficits across a variety of functional domains. Here, we leverage structural and functional neuroimaging to characterize this extended network in healthy control participants and patients with post-concussive vestibular dysfunction (PCVD). Then, 27 healthy control subjects (15 females) and 18 patients with subacute PCVD (12 female) were selected for participation. Eighty-two regions of interest (network nodes) were identified based on previous publications, group-wise differences in BOLD signal amplitude and connectivity, and multivariate pattern analysis on affective tests. Group-specific "core" networks, as well as a "consensus" network comprised of connections common to all participants, were then generated based on probabilistic tractography and functional connectivity between the 82 nodes and subjected to analyses of node centrality and community structure. Whereas the consensus network was comprised of affective, integrative, and vestibular nodes, PCVD participants exhibited diminished integration and centrality among vestibular and affective nodes and increased centrality of visual, supplementary motor, and frontal and cingulate eye field nodes. Clinical outcomes, derived from dynamic posturography, were associated with approximately 62% of all connections but best predicted by amygdalar, prefrontal, and cingulate connectivity. No group-wise differences in diffusion metrics or tractography were noted. These findings indicate that cognitive, affective, and proprioceptive substrates contribute to vestibular processing and performance and highlight the need to consider these domains during clinical diagnosis and treatment planning.

Indexed as

Brain ConcussionVestibule, LabyrinthBrainBrain MappingFemaleFunctional NeuroimagingHumansMaleaffectgraph theorypost-concussion vestibular dysfunction (PCVD)resting statevestibular diseases

Identifiers

PMID34862683
PMCPMC8886666
OpenAlexW3215083486

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.