Evidence map›Paper›PMID 38790486›Full record

ReviewBrain sciences2024

EEG Changes in Migraine-Can EEG Help to Monitor Attack Susceptibility?

Thomas C van den Hoek, Mark van de Ruit, Gisela M Terwindt, Else A Tolner

Abstract readReview
In one paragraph

Review in Brain sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Thomas C van den HoekDepartment of Neurology, Leiden University Medical Centre, 2333 ZA Leiden, The Netherlands.ORCID 0000-0001-8030-2858
Mark van de RuitDepartment of Neurology, Leiden University Medical Centre, 2333 ZA Leiden, The Netherlands.ORCID 0000-0003-3806-2031
Gisela M TerwindtDepartment of Neurology, Leiden University Medical Centre, 2333 ZA Leiden, The Netherlands.ORCID 0000-0003-3140-6882
Else A TolnerDepartment of Neurology, Leiden University Medical Centre, 2333 ZA Leiden, The Netherlands.ORCID 0000-0002-6501-9971

Funding

This research was supported by Health-Holland, Top Sector Life Sciences & Health Netherlands Organization for Health Research and Development (ZonMW) [Brain@home, Project number: 114025101, G.M.T. and E.A.T.], Medical Neurodelta (MD 01092019-31082023, E.A See details under Funder
6 · The paper itself

Abstract

Migraine is a highly prevalent brain condition with paroxysmal changes in brain excitability believed to contribute to the initiation of an attack. The attacks and their unpredictability have a major impact on the lives of patients. Clinical management is hampered by a lack of reliable predictors for upcoming attacks, which may help in understanding pathophysiological mechanisms to identify new treatment targets that may be positioned between the acute and preventive possibilities that are currently available. So far, a large range of studies using conventional hospital-based EEG recordings have provided contradictory results, with indications of both cortical hyper- as well as hypo-excitability. These heterogeneous findings may largely be because most studies were cross-sectional in design, providing only a snapshot in time of a patient's brain state without capturing day-to-day fluctuations. The scope of this narrative review is to (i) reflect on current knowledge on EEG changes in the context of migraine, the attack cycle, and underlying pathophysiology; (ii) consider the effects of migraine treatment on EEG features; (iii) outline challenges and opportunities in using EEG for monitoring attack susceptibility; and (iv) discuss future applications of EEG in home-based settings.

Indexed as

cortical excitabilityelectroencephalographymigraine attackpredictiontreatment

Identifiers

PMID38790486
PMCPMC11119734

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.