Disrupted gray matter connectome in vestibular migraine: a combined machine learning and individual-level morphological brain network analysis

Patients with VM had aberrant GM connectomes in terms of topological properties and network connections, reflecting potential dizziness, pain, and emotional dysfunctions. The identified features could serve as individualized neuroimaging markers of VM.

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Publication Details

Journal
The Journal of Headache and Pain
Published
2024-10-10
DOI
https://doi.org/10.1186/s10194-024-01861-9
Citations
9
Primary Topic
Vestibular and auditory disorders
Type
article
Field-Weighted Citation Impact
2.23

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article

Disrupted gray matter connectome in vestibular migraine: a combined machine learning and individual-level morphological brain network analysis

Hongru Zhao, Lingling Dai, Chunhong Hu, Xing Xiong et al.
9 citations
The Journal of Headache and Pain
Vestibular and auditory disorders
2.23
article

Disrupted gray matter connectome in vestibular migraine: a combined machine learning and individual-level morphological brain network analysis

Hongru Zhao, Lingling Dai, Chunhong Hu, Xing Xiong, Jun Ke, Wen Chen, Qifang Feng
article en
9 citations

Abstract

Patients with VM had aberrant GM connectomes in terms of topological properties and network connections, reflecting potential dizziness, pain, and emotional dysfunctions. The identified features could serve as individualized neuroimaging markers of VM.

The Journal of Headache and PainVol. 25(1)
Soochow University (TW), Soochow University (CN), First Affiliated Hospital of Soochow University (CN)
China Postdoctoral Science Foundation
Openalex Percentile: Top 12%
Vestibular and auditory disorders
2.23
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