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Resting-State Electroencephalography and Magnetoencephalography in Migraine – A Systematic Review and Meta-Analysis

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Název: Resting-State Electroencephalography and Magnetoencephalography in Migraine – A Systematic Review and Meta-Analysis
Autoři: Paul Theo Zebhauser, Henrik Heitmann, Elisabeth S. May, Markus Ploner
Zdroj: J Headache Pain
The Journal of Headache and Pain, Vol 25, Iss 1, Pp 1-13 (2024)
Informace o vydavateli: Cold Spring Harbor Laboratory, 2024.
Rok vydání: 2024
Témata: Migraine Disorders, Magnetoencephalography, Brain, Electroencephalography, Biomarker, Review, Pathophysiology, ddc, Migraine, Systematic review, Meta-analysis, Migraine Disorders/physiopathology [MeSH], Electroencephalography/methods [MeSH], Humans [MeSH], Magnetoencephalography/methods [MeSH], Brain/physiopathology [MeSH], Migraine Disorders/diagnosis [MeSH], Medicine, Humans
Popis: 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.
Druh dokumentu: Article
Other literature type
Popis souboru: application/pdf
ISSN: 1129-2377
DOI: 10.1101/2024.08.02.606283
DOI: 10.1186/s10194-024-01857-5
Přístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/39261817
https://doaj.org/article/40d1efad7c0344f18450184c9d1c0d6b
https://repository.publisso.de/resource/frl:6516729
https://mediatum.ub.tum.de/1770729
Rights: CC BY NC
CC BY
Přístupové číslo: edsair.doi.dedup.....26f4f485e0ba4eec0b09b87b466f99b5
Databáze: OpenAIRE
Popis
Abstrakt: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.
ISSN:11292377
DOI:10.1101/2024.08.02.606283