Evidence map›Paper›PMID 41087891›Full record

SynthesisThe journal of headache and pain2025

EEG patterns in each phase of hemiplegic migraine: a systematic review and pooled prevalence meta-analysis.

Penpisut Kedgan, Prakit Anukoolwittaya, Totsapol Surawattanawong, Sekh Thanprasertsuk, Wanakorn Rattanawong, Chusak Limotai

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in The journal of headache and pain, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Penpisut Kedgan *Department of Medicine, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.
Prakit Anukoolwittaya *Neurology Division, Department of Medicine, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.
Totsapol SurawattanawongNeurology Division, Department of Medicine, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand. Totsapol.S@chula.ac.th.
Sekh ThanprasertsukComprehensive Headache and Orofacial Pain (CHOP) Service and Research Group, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.
Wanakorn RattanawongComprehensive Headache and Orofacial Pain (CHOP) Service and Research Group, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.
Chusak LimotaiNeurology Division, Department of Medicine, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionHemiplegic migraine (HM) is a rare subtype of migraine with aura, and its pathophysiology is similar to that of migraine with aura, primarily involving cortical spreading depression. Electroencephalography (EEG) may serve as a valuable tool for investigating brain function in patients with hemiplegic migraine. Therefore, this study aims to synthesize available evidence through a systematic review and pooled prevalence meta-analysis to assess the types of EEG abnormalities observed in each migraine phase in patients with hemiplegic migraine and to estimate the prevalence of EEG abnormalities during the interictal period.

methodWe searched PubMed, Scopus, and Cochrane up to January 2025 and included articles, including case reports, case series, and retrospective studies that reported EEG abnormalities in hemiplegic migraine. The prevalence of abnormal EEG during the interictal phase was analyzed through pooled data analysis.

resultA total of 40 articles involving 65 patients were included in the analysis. The most common EEG abnormality During the aura phase was low-amplitude activity affecting the hemisphere contralateral to the hemiparesis, observed in 71.4% (5/7) of cases. Similarly, During the headache and post-headache phases, the most frequently observed EEG abnormality was medium- to high-amplitude slowing, particularly in the hemisphere contralateral to the hemiparesis, occurring in 54.9% (28/51) and 37.5% (9/24) of cases, respectively. Meanwhile, 78.8% (26/33) of patients' EEG recordings during the interictal phase were normal.

conclusionThis study found that the most common EEG abnormality during the aura phase was low-amplitude activity in the hemisphere contralateral to the hemiparesis, while during the headache and post-headache phases, medium- to high-amplitude focal slowing was frequently observed in the same hemisphere. EEGs during the interictal phase were mostly normal. These findings provide an overview of characteristic EEG patterns in each phase of hemiplegic migraine and may support the hypothesis that widespread cortical spreading depression precedes subcortical propagation.

Indexed as

ElectroencephalographyMigraine with AuraCortical Spreading DepressionHumansPrevalenceEEG patternElectroencephalographyHemiplegic migraineMigraine attack

Identifiers

PMID41087891
PMCPMC12522619

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.