Abnormal neurovascular coupling in the precuneus associated with migraine chronification: A multimodal magnetic resonance imaging study
Abstract
BackgroundNeurovascular coupling (NVC) reflects the interaction between cerebral blood flow (CBF) and functional activity. However, the relationship between NVC and migraine chronification remains unclear. This study investigated the state of NVC in migraine patients and evaluated its potential as an imaging feature for migraine chronification using arterial spin labeling (ASL) combined with resting-state functional magnetic resonance imaging (rs-fMRI).MethodsThis was a cross-sectional study. Thirty-nine episodic migraine (EM), 61 chronic migraine (CM) patients (25 with medication overuse headache, MOH) and 42 healthy controls (HCs) were recruited in the same period. Imaging data were acquired using a 3.0 T MRI. Regional homogeneity (ReHo) represented functional activity, whereas CBF was quantified via ASL. Correlation coefficient between CBF and ReHo values of each participant in voxel level represented the whole-brain NVC status, whereas the CBF/ReHo ratio represented regional NVC status. Correlations between NVC metrics and clinical characteristics were analyzed in CM patients. Exploratory mediation analysis was conducted to identify mediators between NVC alterations and the clinical characteristics of CM patients. Finally, receiver operating characteristic (ROC) curve was generated to evaluate the diagnostic performance of NVC metrics for migraine chronification.ResultsCompared to HCs, both EM and CM patients presented significantly reduced whole-brain CBF-ReHo coupling.…
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.
Read the paper
Related studies
- Calcium Ions in the Physiology and Pathology of the Central Nervous System
- AI-powered in silico twins: redefining precision medicine through simulation, personalization, and predictive healthcare
- In silico functional, structural and pathogenicity analysis of missense single nucleotide polymorphisms in human MCM6 gene
- In Silico drug repurposing pipeline using deep learning and structure based approaches in epilepsy
- Targeting serotonin receptors with phytochemicals – an in-silico study
- In silico exploration of anti-prostate cancer compounds from differential expressed genes
Go deeper in Evidence Hub
Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.