Evidence map›Paper›PMID 40746965›Full record

ArticleImaging neuroscience (Cambridge, Mass.)2024

Assessment of white matter microstructure integrity in subacute postconcussive vestibular dysfunction using NODDI.

Joseph A Behnke, Vishwadeep Ahluwalia, Jeremy L Smith, Benjamin B Risk, Jianna Lin, Russell K Gore, Jason W Allen

Abstract read
In one paragraph

Article in Imaging neuroscience (Cambridge, Mass.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Joseph A BehnkeDepartment of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, GA, United States.
Vishwadeep AhluwaliaGeorgia Institute of Technology, Atlanta, GA, United States.
Jeremy L SmithDepartment of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, GA, United States.
Benjamin B RiskDepartment of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, GA, United States.
Jianna LinUniversity of Central Florida College of Medicine, Orlando, FL, United States.
Russell K GoreShepherd Center, Atlanta, GA, United States.
Jason W AllenDepartment of Radiology & Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, United States.

Funding

Altered Central Multisensory Processing in Post-concussion Vestibular DysfunctionR01NS119683 · NINDS · INDIANA UNIVERSITY INDIANAPOLIS · PI Jason William Allen, Russell Kahn Gore · 2022 to 2026
$1.8M
NINDS NIH HHS R01 NS119683
6 · The paper itself

Abstract

Vestibular symptoms, such as dizziness and balance impairment, are frequently reported following mild traumatic brain injury (mTBI) and are associated with a protracted recovery, yet the underlying neuroanatomical substrates remain unclear. The present study utilized advanced diffusion MRI (dMRI) techniques including both conventional diffusion tensor imaging (DTI) and neurite orientation dispersion and density imaging (NODDI) to investigate microstructural white matter integrity in individuals with postconcussive vestibular dysfunction (PCVD) within the subacute injury period (median of 35 days from injury; IQR of 23). Study participants included 23 individuals with subacute PCVD and 37 healthy control subjects who underwent imaging and comprehensive clinical vestibular testing. Between-group voxelwise analysis of differences in white matter revealed areas of higher intra-neurite volume fraction (V

Indexed as

concussiondiffusion imagingtraumatic brain injuryvestibular impairment

Identifiers

PMID40746965
PMCPMC12247550

What OpenQuestion holds

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Registered trials

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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.