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

Area of Science:

• Neuroimaging
• Neurology
• Medical research

Background:

• Vestibular migraine (VM) presents high heterogeneity, challenging understanding of its pathophysiology and biomarker identification.
• Investigating VM heterogeneity is crucial for advancing diagnostic and therapeutic strategies.

Purpose of the Study:

• To investigate heterogeneity in vestibular migraine (VM) using Individualized Differential Structural Covariance Network (IDSCN) analysis.
• To identify distinct neuroanatomical subtypes of VM and their clinical associations.

Main Methods:

• Structural T1-weighted MRI scans from 55 VM patients and 65 controls were analyzed.
• Individualized Differential Structural Covariance Networks (IDSCN) were constructed to assess heterogeneity.
• Patient clustering identified subtypes based on shared differential network edges, followed by imaging-clinical association analyses.

Main Results:

• VM patients exhibited significant heterogeneity in IDSCN edge alterations.
• Common differential connections were identified, primarily in parietal, subcortical, and cerebellar regions.
• Two distinct VM subtypes associated with headache frequency were discovered, with a specific differential edge linked to headache frequency and occurrence.

Conclusions:

• Individual differences are critical in vestibular migraine (VM) research.
• Findings suggest potential for precise diagnosis and individualized treatment strategies in VM.
• IDSCN analysis offers a novel approach to understanding VM heterogeneity.