Evidence map›Paper›PMID 40834347›Full record

ArticleNeurology2025

Dynamic Interplay Between Wake Slow Waves and Epileptiform Discharges in the Epileptogenic Zone.

Laurent Sheybani, Umesh Vivekananda, Nishant Sinha, Erin Conrad, Brian Litt, Neil Burgess, Daniel Bush, Matthew C Walker

Abstract read
In one paragraph

Article in Neurology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Brain-wide properties of slow waves across vigilance states.Sleep advances : a journal of the Sleep Research Society · 2026
    Article
  2. Review
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

8 authors.

Laurent SheybaniDepartment of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, University College London, United Kingdom.ORCID 0000-0003-4824-6408
Umesh VivekanandaDepartment of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, University College London, United Kingdom.ORCID 0000-0001-6116-2335
Nishant SinhaDepartment of Bioengineering, School of Engineering and Applied Sciences, University of Pennsylvania, Philadelphia.ORCID 0000-0002-2090-4889
Erin ConradDepartment of Bioengineering, School of Engineering and Applied Sciences, University of Pennsylvania, Philadelphia.
Brian LittDepartment of Bioengineering, School of Engineering and Applied Sciences, University of Pennsylvania, Philadelphia.ORCID 0000-0003-2732-6927
Neil BurgessDepartment of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, University College London, United Kingdom.
Daniel BushDepartment of Neuroscience, Physiology and Pharmacology, University College London, United Kingdom.
Matthew C WalkerDepartment of Clinical and Experimental Epilepsy, UCL Queen Square Institute of Neurology, University College London, United Kingdom.

Funding

Scalable methods to quantify epileptic network and guide epilepsy surgeryK99NS138680 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI SINHA, NISHANT · 2024 to 2025
$298k
NINDS NIH HHS K99 NS138680
6 · The paper itself

Abstract

BACKGROUND AND

objectivesOutcome of epilepsy surgery remains suboptimal, calling for the identification of new, complementary biomarkers of the epileptogenic zone (EZ). Recently, we identified local wake slow waves (LoWS) as a potential regulator of network excitability that interacts with interictal epileptiform discharges (IEDs). In this study, we tested whether this interaction is associated with surgical outcome.

methodsIn this retrospective study, we analyzed intracranial recordings from patients with intractable focal epilepsy who underwent surgery at the Hospital of the University of Pennsylvania. We used surgical success as an indicator that most or all of the EZ had been resected. We used linear mixed models to test whether the incidence of IEDs and LoWS, as well as their interaction, can accurately delineate the EZ in patients with successful vs poor outcome.

resultsAcross 55 patients (30 women, mean age ±SD: 34 ± 10 years), we found that, although IEDs were more frequent in the seizure-onset zone, their rate in resected and nonresected areas was not associated with surgical success. Indeed, neither the rate of IEDs (F [1, 52.57] = 0.070, DISCUSSION: The temporal proximity of LoWS to a preceding IED in the resected cortex is associated with surgical outcome. This may reflect changes in the regulation of network excitability in the EZ as a form of homeostatic regulation. It raises the possibility to use this index as an additional prognostic biomarker in epilepsy surgery.

Indexed as

Brain WavesDrug Resistant EpilepsyEpilepsies, PartialWakefulnessAdultElectrocorticographyElectroencephalographyFemaleHumansMaleMiddle AgedRetrospective StudiesTreatment OutcomeYoung Adult

Identifiers

PMID40834347
PMCPMC12367422

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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.