Structural decoupling index–based characterization of hierarchical brain structure–function coupling alterations and their clinical and molecular associations in migraine: a cross-sectional study
Abstract
Abstract BACKGROUND Migraine is increasingly recognized as a network disorder involving distributed structural and functional brain alterations. However, regional changes in the relationship between resting-state activity and white-matter organization remain unclear. We used the structural decoupling index (SDI), a graph signal processing measure of structure–function alignment, to characterize regional coupling alterations in migraine. METHODS After quality control, 108 participants (41 with episodic migraine [EM], 31 with chronic migraine [CM], and 36 healthy controls [HCs]) underwent resting-state functional, diffusion, and T1-weighted MRI. Regional SDI was computed for 246 Brainnetome regions using individual RD-weighted structural graphs. Group differences were tested by age- and sex-adjusted ANCOVA with Benjamini–Hochberg FDR correction. Partial Spearman correlations examined associations between clinical measures and SDI in regions differing between EM and CM, adjusting for age, sex, and migraine subtype. Exploratory classification used class-weighted linear SVMs with repeated nested fivefold cross-validation. PLS regression related the unthresholded migraine–HC SDI t-map to Allen Human Brain Atlas gene-expression data, followed by enrichment analysis of genes with positive and negative PLS1 weights. RESULTS Compared with HCs, patients with migraine had lower SDI in the left superior frontal gyrus and higher SDI in the right inferior temporal gyrus. Three-group…
How strong is the evidence?
Evidence Hub reads this as a cross-sectional, done in people. Its evidence level is 4 of 5 (Low · observational). Observational designs can show an association but not prove cause. Reported size: 108 participants or records.
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