Association between Migraine Patterns and White Matter Hyperintensities in MRI Brain: A Cross-sectional Analytical Study

Abstract

Introduction: Migraine is a neurological condition characterised by recurrent episodes of headaches. The role of Magnetic Resonance Imaging (MRI) as a diagnostic tool in evaluating migraines is yet to be fully understood. Changes that occur in the blood vessels during a migraine attack lead to hypoperfusion in the brain, causing neurovascular dysfunction and cortical spreading depression. These events are manifested as White Matter Hyperintensities (WMHs) in brain MRI. Aim: To determine the association between migraine patterns and WMHs in the MRI brain scans. Materials and Methods: A cross-sectional analytical study was conducted at Department of Neurology, Mar Baselios Medical Mission Hospital, a tertiary care centre for Neurology and Movement disorders in South India, from June 2021 to June 2022. The study included 100 patients aged between 18 and 50 years who had been diagnosed with migraine. A questionnaire was prepared, which included various parameters such as the presence or absence of aura, duration, frequency, tolerability, disability, intensity of pain, nausea, and resistance to treatment. The severity of migraine in the patients was evaluated using the Migraine Intensity and Severity Evaluation (MIGSEV) scale, which considers parameters such as pain intensity, attack duration, nausea, disability, tolerability, treatment resistance, and attack frequency. Based on this assessment, patients were classified into Grade I, II, or III. After obtaining informed consent, MRI brain scans were performed on all patients. Patients exhibiting WMHs underwent Gadolinium IV contrast, and those with contrast-enhancing lesions underwent whole spine screening and CSF analysis testing. Statistical Package for the Social Sciences (SPSS) version 20.0 was used for data analysis. The statistical tests employed included the MannWhitney test, Kruskal-Wallis test and Spearman coefficient. Results: The mean age of the participants was 28.60±7.0 years. WMHs were present in 47 out of 100 patients (47%). A significant association was observed between WMHs and aura (U=487.50) (p-value<0.001). Multivariate analysis revealed that migraine severity grade, pain intensity during the attack, nausea, disability, tolerability, migraine duration, and resistance to treatment were statistically significant with a p-value of <0.001. Conclusion: WMHs in MRI were more significant in patients with Grade III MIGSEV scores. There was a statistically significant association between the number of WMHs, high intensity of pain, vomiting, severe disability, and tolerability during a migraine attack. Therefore, these parameters can be considered as risk factors for developing WMHs in the brain MRI of migraine patients.