Evidence map›Paper›PMID 40916972›Full record

ArticleCNS neuroscience & therapeutics2025

Exploring Heterogeneity in Vestibular Migraine Using Individualized Differential Structural Covariance Network Analysis.

Wen Chen, Hongru Zhao, Lingling Dai, Xing Xiong, Qifang Feng, Jun Ke, Chunhong Hu

Abstract read
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Article in CNS neuroscience & therapeutics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
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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

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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

3 citing papers in PubMed.

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4 · The record

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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.

Wen ChenDepartment of Radiology, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China.ORCID 0000-0002-4380-8013
Hongru ZhaoDepartment of Neurology, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China.
Lingling DaiDepartment of Radiology, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China.
Xing XiongDepartment of Radiology, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China.
Qifang FengDepartment of Radiology, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China.
Jun KeDepartment of Radiology, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China.
Chunhong HuDepartment of Radiology, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, China.ORCID 0000-0002-6343-758X

Funding

China Postdoctoral Science Foundation 2023M742543
6 · The paper itself

Abstract

backgroundThe high heterogeneity in vestibular migraine (VM) complicates understanding its precise pathophysiological mechanisms and identifying potential biomarkers. This study investigated the heterogeneity in VM using a newly proposed method called Individualized Differential Structural Covariance Network (IDSCN) analysis.

methodsStructural T1-weighted MRI scans were performed on 55 patients with VM and 65 healthy controls, and an IDSCN was constructed for each patient. We studied the extent of heterogeneity in the IDSCNs, summarized the distribution of differential edges, and clustered the patients into subtypes with the shared differential edges. Imaging-clinical association analyses were conducted on both the subtype classification and the differential edges exhibiting significant inter-subtype differences.

resultsPatients with VM demonstrated notable heterogeneity in the number of significantly altered IDSCN edges, while sharing several common differential connections that were mainly distributed among the parietal, subcortical, and cerebellar regions. Two robust and distinct neuroanatomical subtypes of VM were identified, which were associated with headache frequency. The differential edge between the left paracentral lobule and right pallidum was associated with both headache frequency and occurrence.

conclusionsThese findings indicate the importance of considering individual differences in VM research and may offer insights for precise diagnosis and individualized treatment of the disease.

Indexed as

BrainMigraine DisordersAdultFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedYoung Adultgray matterheterogeneityindividualized analysismagnetic resonance imagingstructural covariance networkvestibular migraine

Identifiers

PMID40916972
PMCPMC12415590

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