ArticleHealth science reports2025
Characterizing the Morphological Brain Network Topology in Patients With Migraine Using Wavelet Based Morphometry: A Descriptive Cross-Sectional Retrospective Study.
Article in Health science reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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6 authors.
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Abstract
Background and Aim: There is compelling evidence that gray matter changes associated with migraine, which in turn may alter morphological network topology. The aim of this study is to characterize morphological network topology of the brains of migraineurs and non-migraine subjects using wavelet-based morphometry. Methods: 3D, T1W brain images were obtained from 45 patients with migraine and 46 non-migraine subjects. Then, gray matter volume images were developed, and they were decomposed and reconstructed at a level of Results: Patients with migraine showed increased small worldness ( Conclusion: Patients with migraine exhibit better integration of information processing and wavelet-based morphometry in combining with graph theory provides valuable information on altered gray matter network topologies in migraineurs.
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