5.0 T MRI reveals characteristic alterations in visual and somatomotor networks associated with migraine chronification: a single-center prospective cohort study
Abstract
BACKGROUND AND OBJECTIVES: Migraine is increasingly acknowledged as a disorder of large-scale brain network hierarchy rather than a merely focal dysfunction. However, the neural substrates driving the transition from episodic migraine (EM) to chronic migraine (CM)-a key pathological process in migraine chronification, remain poorly delineated. METHODS: Using 5.0 T MRI, we examined 122 participants (30 healthy controls [HC], 66 EM, and 16 CM). Morphometric INverse Divergence (MIND)-based structural similarity networks and resting-state functional connectivity (FC) matrices were constructed from 3D T1 and rs-fMRI data parcellated with the Schaefer-400 atlas. Diffusion map embedding was applied to derive low-dimensional gradients indexing macroscale cortical hierarchy. Group differences in the principal gradient (G1) were assessed using one-way ANOVA with FDR-corrected post hoc tests. Partial Spearman correlations were used to link regional G1 values with attack frequency, disease duration, and anxiety (HAMA), depression (HAMD), and sleep quality (PSQI) scores. RESULTS: Both MIND- and FC-derived gradients revealed a progressive flattening of the G1 along the HC-EM-CM continuum. These alterations were most prominent in the visual and somatomotor networks. Across the top overlapping regions, lower G1 values, reflecting diminished hierarchical segregation, were consistently associated with higher HAMA and HAMD scores and poorer sleep quality on the PSQI after FDR correction,…
How strong is the evidence?
Evidence Hub reads this as a cohort study, done in people. Its evidence level is 3 of 5 (Moderate · trial / cohort / secondary analysis). Trials without a large randomized design, cohorts and secondary analyses give moderate evidence. Reported size: 122 participants or records.
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