Evidence map›Paper›PMID 42440451›Full record

ArticleEpilepsy & behavior reports2026

The electroclinical phenotype of epilepsy following autoimmune encephalitis.

Stephan Neidhart, Tena Dubcek, Debora Ledergerber, Oona Kohnen, Lukas Imbach

Abstract read
In one paragraph

Article in Epilepsy & behavior reports, 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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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Stephan NeidhartSwiss Epilepsy Center, Klinik Lengg, Zürich, Switzerland.
Tena DubcekSwiss Epilepsy Center, Klinik Lengg, Zürich, Switzerland.
Debora LedergerberSwiss Epilepsy Center, Klinik Lengg, Zürich, Switzerland.
Oona KohnenSwiss Epilepsy Center, Klinik Lengg, Zürich, Switzerland.
Lukas ImbachSwiss Epilepsy Center, Klinik Lengg, Zürich, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To describe the temporal and spatial dynamics of electroencephalographic (EEG) recordings in epilepsy following autoimmune encephalitis (AE) compared to temporal lobe epilepsy (TLE) without signs of inflammatory etiology. Methods: We assessed electroencephalographic properties using continuous long-term (72-h) EEG recordings in combination with neuroimaging markers and cerebrospinal fluid (CSF) parameters of 25 patients with epilepsy following AE and 30 patients with TLE. We specifically investigated the presence of focal slowing (FS) and epileptiform discharges (EDs). Additionally, spectral EEG variability during wakefulness and sleep was analyzed using quantitative EEG analysis. Results: Compared to TLE, patients with AE showed significantly more independent bitemporal FS and independent bitemporal EDs ( Significance: These results demonstrate distinct and quantifiable EEG characteristics in epilepsy following AE. The identified EEG patterns and the proposed score may serve as biomarkers for differentiating between epilepsy following AE and TLE of non-inflammatory etiology. This approach can aid clinicians in determining the need for further diagnostic testing or optimizing therapy decisions in the post-acute phase, where clinicians frequently encounter patients with new-onset or evolving epilepsy in whom a current or prior inflammatory etiology is suspected. In this scenario, a precise understanding of post-acute EEG characteristics may be clinically relevant to assess the probability of an underlying autoimmune/inflammatory process and to guide the immune-directed evaluation, antiseizure medication optimization, and epilepsy-surgical evaluation.

Indexed as

Autoimmune-associated epilepsyAutoimmune EncephalitisBiomarkerEEGTemporal lobe epilepsy

Identifiers

PMID42440451
PMCPMC13333378

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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.