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ABSTRACT: Background
The 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.Methods
Structural 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 exhibiti
SUBMITTER: Chen W
PROVIDER: S-EPMC12415590 | biostudies-literature | 2025 Sep
REPOSITORIES: biostudies-literature