Evidence map›Paper›PMID 41889424›Full record

ArticleBrain communications2026

Integrating data across oscillatory power bands predicts the seizure onset zone in focal epilepsies.

Sean O'Leary, Anne-Cecile Lesage, Liliana Camarillo-Rodriguez, Oliver Zhou, Diosely C Silveira, Jiefei Wang, Sameer A Sheth, Joshua M Diamond, Michael S Beauchamp, Zhengjia Wang and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Brain communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

12 authors.

Sean O'LearyDepartment of Neurosurgery, University of Texas Medical Branch, Galveston, TX 77555, USA.ORCID https://orcid.org/0000-0003-3650-705X
Anne-Cecile LesageDepartment of Neurosurgery, University of Texas Medical Branch, Galveston, TX 77555, USA.
Liliana Camarillo-RodriguezDepartment of Neurosurgery, University of Texas Medical Branch, Galveston, TX 77555, USA.
Oliver ZhouDepartment of Neurosurgery, University of Texas Medical Branch, Galveston, TX 77555, USA.
Diosely C SilveiraDepartment of Neurology, University of Texas Medical Branch, Galveston, TX 77555, USA.
Jiefei WangDepartment of Biostatistics & Data Science, University of Texas Medical Branch, Galveston, TX 77555, USA.
Sameer A ShethDepartment of Neurosurgery, Baylor College of Medicine, Houston, TX 77030, USA.ORCID https://orcid.org/0000-0001-8770-8965
Joshua M DiamondSurgical Neurology Branch, NINDS, National Institutes of Health, Bethesda, MD 20892, USA.
Michael S BeauchampDepartment of Neurosurgery, University of Pennsylvania, Philadelphia, PA 19104, USA.ORCID https://orcid.org/0000-0002-7599-9934
Zhengjia WangDepartment of Neurosurgery, University of Pennsylvania, Philadelphia, PA 19104, USA.
John F MagnottiDepartment of Neurosurgery, University of Pennsylvania, Philadelphia, PA 19104, USA.
Patrick J KarasDepartment of Neurosurgery, University of Texas Medical Branch, Galveston, TX 77555, USA.ORCID https://orcid.org/0000-0002-2605-8820

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accurate identification of the seizure onset zone (SOZ) using intracranial electroencephalography (iEEG) remains challenging. Although diverse methods have leveraged spectral features to classify patient outcomes, few approaches focus on identifying individual electrodes within the SOZ or integrate a broad spectrum of frequency ranges within a single model. We developed an interpretable machine learning model that integrates power across delta, theta, alpha, beta, gamma and high-gamma frequencies over time to identify the SOZ. For 1511 electrodes implanted across 21 patients, we computed the mean spectral power in each frequency band for the first 20 s after seizure onset and analysed the differences in power between SOZ and non-SOZ electrodes. In patients who were seizure free after surgery (

Indexed as

drug-resistant epilepsyiEEG power analysismulti-taperRAVEseizure onset zone localization

Identifiers

PMID41889424
PMCPMC13014369

What OpenQuestion holds

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Registered trials

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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.