Evidence map›Paper›PMID 40254685›Full record

ArticleNeurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology2025

Abnormal neural circuits and altered brain network topological properties in patients with chronic unilateral vestibulopathy.

Yuru Wang, Kangzhi Li, Lihong Si, Shui Liu, Xu Yang

Abstract read
In one paragraph

Article in Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Yuru Wang *Department of Neurology, Peking University Aerospace School of Clinical Medicine, Beijing, 100049, People's Republic of China.
Kangzhi Li *Department of Neurology, Peking University Shougang Hospital, Beijing, 100144, People's Republic of China.
Lihong SiDepartment of Neurology, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Third Hospital of Shanxi Medical University, Tongji Shanxi Hospital, Taiyuan, 030032, People's Republic of China.
Shui LiuDepartment of Radiology, Aerospace Center Hospital, Peking University Aerospace School of Clinical Medicine, Beijing, 100049, People's Republic of China.
Xu YangDepartment of Neurology, Peking University Aerospace School of Clinical Medicine, Beijing, 100049, People's Republic of China. yangxu2011@163.com.ORCID http://orcid.org/0000-0002-3615-3063

Funding

Beijing Natural Science Foundation 7222237
6 · The paper itself

Abstract

backgroundChronic unilateral vestibulopathy (CUVP) is one of the most common causes of chronic dizziness/vertigo. The brain functional mechanisms of CUVP are currently unclear. The study aimed to clarify changes in brain topological properties and subnetwork functional connectivity in CUVP patients, elucidating the neural mechanisms behind their poor dynamic compensation.

methodsA total of 44 participants were included (22 CUVP patients and 22 age- and sex-matched healthy controls). Resting-state functional MRI was performed on all subjects. Network-Based Statistics (NBS) analysis was conducted to identify abnormal neural circuits in CUVP. Graph-theoretical analysis (GTA) was performed to elucidate changes in brain network topological properties. Correlation analysis was conducted to examine the relationship between brain network changes and clinical symptom severity.

resultsNBS analysis revealed an abnormal neural network in CUVP patients, with key nodes including the parieto-insular vestibular cortex, sensory-motor cortex, occipital visual cortex, brainstem, and cerebellum. The most significant functional connectivity abnormalities were observed between the brainstem and visual/sensorimotor networks. Graph-theoretical analysis indicated increased characteristic path length, decreased global and local efficiency in CUVP patients. Node properties showed reduced node efficiency and clustering coefficients in multiple nodes within the visual and sensorimotor networks. Correlation analysis indicated that brain network topology and changes in brainstem-sensorimotor network connectivity were negatively correlated with DHI scores.

conclusionCUVP patients exhibit multisensory integration abnormalities and changes in brain network topology at both the brainstem/cerebellar and cortical levels, which may underlie the potential neural basis for poor vestibular compensation in CUVP patients.

Indexed as

BrainConnectomeNerve NetVestibular NeuronitisAdultAgedChronic DiseaseFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedNeural PathwaysChronic unilateral vestibulopathyDynamic compensationGraph-theoretical analysisMultisensory integration

Identifiers

PMID40254685
PMCPMC12267322

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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.