Evidence map›Paper›PMID 41042970›Full record

ArticleJournal of clinical neurophysiology : official publication of the American Electroencephalographic Society2026

24-Hour Video EEG in the Evaluation of the Seizure-Free Patient Before Antiseizure Medication Withdrawal.

Areej Nauman, Ahamed Lazim Vattoth, Gayane Melikyan, Musab Ali, Yaser Othman, Boulenouar Mesraoua, Hasan Al Hail, Soha Roger Dargham, Farhana Khan, Abdulraheem Alrabi and 2 more

Abstract read
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Article in Journal of clinical neurophysiology : official publication of the American Electroencephalographic Society, 2026. 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

What it found

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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

12 authors.

Areej NaumanWeill Cornell Medicine-Qatar, Doha, Qatar ; and.
Ahamed Lazim VattothWeill Cornell Medicine-Qatar, Doha, Qatar ; and.
Gayane MelikyanNeuroscience Institute, Hamad Medical Corporation, Doha, Qatar .
Musab AliNeuroscience Institute, Hamad Medical Corporation, Doha, Qatar .
Yaser OthmanNeuroscience Institute, Hamad Medical Corporation, Doha, Qatar .
Boulenouar MesraouaNeuroscience Institute, Hamad Medical Corporation, Doha, Qatar .
Hasan Al HailNeuroscience Institute, Hamad Medical Corporation, Doha, Qatar .
Soha Roger DarghamWeill Cornell Medicine-Qatar, Doha, Qatar ; and.
Farhana KhanNeuroscience Institute, Hamad Medical Corporation, Doha, Qatar .
Abdulraheem AlrabiNeuroscience Institute, Hamad Medical Corporation, Doha, Qatar .
Ziyad MahfoudWeill Cornell Medicine-Qatar, Doha, Qatar ; and.
Naim HaddadWeill Cornell Medicine-Qatar, Doha, Qatar ; and.ORCID 0000-0002-6960-0579

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeIn patients with epilepsy who achieve seizure freedom, physicians may consider discontinuing antiseizure medications, often using EEG beforehand to guide the decision. This study evaluates the gain in detection of epileptiform discharges (EDs) in 24-hour video EEG (VEEG) monitoring in seizure-free patients.

methodsThe authors identified patients with epilepsy who were seizure free on antiseizure medications and had undergone 24-hour VEEG after an unrevealing routine EEG. The authors evaluated the yield and latency of observed EDs in the VEEG study. The authors compared the rate of ED detection during the first 60 minutes versus later in the recording.

resultsOf the 27 patients, aged 19 to 51 years, 10 (37%) exhibited EDs on 24-hour VEEG. The latency to the first EDs ranged from 52 to 748 minutes, with a median of 164 minutes. Nine of these 10 patients (90%) had their EDs appear only after the first 60 minutes of recording. In other words, prolonging the EEG beyond 1 hour yielded an additional 33.3% of patients with EDs that a 1-hour recording would have missed. Younger age and presence of EDs on a past EEG were predictive of the presence of EDs on VEEG ( P = 0.040 and P = 0.039 respectively).

conclusionsThe results suggest that 24-hour VEEG is more sensitive in detecting EDs than routine EEG in seizure-free patients and thus may be superior in individualized risk assessments for seizure recurrence on potential antiseizure medication discontinuation.

Indexed as

AnticonvulsantsElectroencephalographyEpilepsySeizuresVideo RecordingAdultFemaleHumansMaleMiddle AgedRetrospective StudiesTime FactorsYoung AdultAnticonvulsantsAntiseizure medicationEEGEpilepsyMedication withdrawalSeizure-free

Identifiers

PMID41042970
PMCPMC13124262

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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.