ArticleThe journal of headache and pain2025
Cortical network dysfunction in migraine: linking genes, metabolism and clinical disability.
Article in The journal of headache and pain, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Transcriptional signatures of cortical morphometric variability in temporal lobe epilepsy.Epilepsia open · 2026Article
- Topological signatures differentiating episodic and chronic phenotypes in migraine without aura: a multi-scale analysis revealing divergent network profiles.The journal of headache and pain · 2026Article
- Circadian Regulation of m6A RNA Methylation in Migraine: Mechanisms and Therapeutic Implications.Journal of molecular neuroscience : MN · 2026Review
Corrections and comments
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Authors and funding
14 authors.
Funding
Abstract
backgroundMigraine is a multifactorial neurovascular disorder that involves both genetic predisposition and environmental influences. Despite extensive research, the precise mechanisms through which genetic factors contribute to brain dysfunction and vulnerability in migraine remain unclear.
methodsThis study included 139 migraine patients and 65 healthy controls. We constructed a Morphometric Inverse Divergence (MIND) network based on regional morphometric measurements to explore the relationship between brain structural alterations, cognitive function, metabolic distribution, and gene expression profiles. The MIND network was further used to predict individual functional disability in migraine.
resultsTranscriptomic analysis identified 124 genes involved in synaptic signaling and neurotransmitter transport, primarily expressed in endothelial cells, oligodendrocytes, and excitatory/inhibitory neurons. Metabolic dysregulation explained 5.61% of the variance, with the oxygen-glucose index (OGI) as the primary driver. Migraine patients showed significant disruptions in MIND networks associated with language, cingulo-opercular, and somatomotor systems, which were correlated with cognitive domains (e.g., memory, pain, language) and predictive of functional disability (r = 0.23, P
conclusionThis study reveals a novel link between macroscopic brain structural abnormalities and microscopic transcriptional patterns in migraine. These findings enhance our understanding of migraine neurobiology and offer potential therapeutic targets for future interventions.
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