Resting-State Electroencephalography and Magnetoencephalography in Migraine – A Systematic Review and Meta-Analysis
Preprint
Abstract
Magnetoencephalography/electroencephalography (M/EEG) can provide insights into migraine pathophysiology and help develop clinically valuable biomarkers. To integrate and summarize the existing evidence on changes in brain function in migraine, we performed a systematic review and meta-analysis (PROSPERO CRD42021272622) of resting-state M/EEG findings in migraine. We included 27 studies after searching MEDLINE, Web of Science Core Collection, and EMBASE. Risk of bias was assessed using a modified Newcastle–Ottawa Scale. Semi-quantitative analysis was conducted by vote counting, and meta-analyses of M/EEG differences between people with migraine and healthy participants were performed using random-effects models. In people with migraine during the interictal phase, meta-analysis revealed higher power of brain activity at theta frequencies (3-8 Hz) than in healthy participants. Furthermore, we found evidence for lower alpha and beta connectivity in people with migraine in the interictal phase. No associations between M/EEG features and disease severity were observed. Moreover, some evidence for higher delta and beta power in the premonitory compared to the interictal phase was found. Strongest risk of bias of included studies arose from a lack of controlling for comorbidities and non-automatized or non-blinded M/EEG assessments. These findings can guide future M/EEG studies on migraine pathophysiology and brain-based biomarkers, which should consider comorbidities and aim for standardized, collaborative approaches.Keywords
All Related Versions
- Published version: The Journal of Headache and Pain, 25 (1), 1.
This publication has 62 references indexed in Scilit:
- Quantitative electroencephalography as a potential biomarker in migraineBrain and Behavior, 2023
- Clinical applications of EEG power spectra aperiodic component analysis: A mini-reviewClinical Neurophysiology, 2022
- Resting State Electrophysiological Cortical Activity: A Brain Signature Candidate for Patients with MigraineCurrent Pain and Headache Reports, 2022
- Human brain connectivity: Clinical applications for clinical neurophysiologyClinical Neurophysiology, 2020
- A Biomarker for Discriminating Between Migraine With and Without Aura: Machine Learning on Functional Connectivity on Resting-State EEGsAnnals of Biomedical Engineering, 2019
- Power analysis for random‐effects meta‐analysisResearch Synthesis Methods, 2017
- Abnormal resting-state brain activity in headache-free migraine patients: A magnetoencephalography studyClinical Neurophysiology, 2016
- Interictal quantitative EEG in migraine: a blinded controlled studyThe Journal of Headache and Pain, 2009
- The occipital alpha rhythm related to the “migraine cycle” and headache burden: A blinded, controlled longitudinal studyClinical Neurophysiology, 2009
- Computerized EEG analysis in migraine patientsThe Italian Journal of Neurological Sciences, 1995