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Related Experiment Video

Updated: Nov 20, 2025

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Cortical Thickness in Migraine: A Coordinate-Based Meta-Analysis.

LiQin Sheng1, HaiRong Ma1, YuanYuan Shi2

  • 1Department of Neurology, Kunshan Hospital of Traditional Chinese Medicine, Suzhou, China.

Frontiers in Neuroscience
|January 25, 2021
PubMed
Summary

This meta-analysis found no consistent cortical thickness differences in migraine patients compared to healthy individuals. Inconsistent findings highlight potential issues in neuroimaging research, like small sample sizes and varied methodologies.

Keywords:
coordinate-based meta-analysiscortical thicknessmigraineseed-based d mapping with permutation of subject imagessurface-based morphometry

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Area of Science:

  • Neuroimaging
  • Neurology
  • Brain Morphometry

Background:

  • Cortical thickness (CTh) studies in migraine show inconsistent results, hindering a clear understanding of brain morphometry.
  • Coordinate-based meta-analysis (CBMA) can synthesize neuroimaging data to identify consistent brain alterations.

Approach:

  • A systematic search of multiple databases and sources identified 16 studies (17 datasets) comparing CTh in migraine patients and healthy controls (HCs).
  • CBMA was performed using the Seed-based d Mapping with Permutation of Subject Images approach.
  • Sensitivity, subgroup, and metaregression analyses were conducted to ensure robustness and explore potential confounders.

Key Points:

  • The CBMA revealed no statistically significant consistent CTh alterations in migraine patients versus HCs.
  • Results remained robust across sensitivity and subgroup analyses.
  • Metaregression indicated no confounding influence from age, gender, aura, attack frequency, or illness duration.

Conclusions:

  • The study contributes to the growing evidence of a replication crisis in neuroimaging.
  • Potential confounders like underpowered samples, heterogeneous criteria, and methodological differences may explain inconsistent CTh findings in migraine.
  • Future research should address these factors to improve reliability in migraine neuroimaging studies.