Evidence map›Paper›PMID 42322807›Full record

ArticleClinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology2026

Internal and external validation of comprehensive high-frequency activity biomarkers for epilepsy surgery.

Keisuke Hatano, Naoto Kuroda, Hiroshi Uda, Kazuki Sakakura, Michael J Cools, Aimee F Luat, Shin-Ichiro Osawa, Hitoshi Nemoto, Kazushi Ukishiro, Hidenori Endo and 5 more

Abstract readValidation Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology, 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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0cells of the map it votes in
0citing papers in PubMed
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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

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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

5 · Who and what money

Authors and funding

15 authors.

Keisuke HatanoDepartment of Pediatrics, Children's Hospital of Michigan, Detroit Medical Center, Wayne State University, Detroit, MI 48201, USA.
Naoto KurodaDepartment of Pediatrics, Children's Hospital of Michigan, Detroit Medical Center, Wayne State University, Detroit, MI 48201, USA; Department of Epileptology, Tohoku University Graduate School of Medicine, Sendai 9808575, Japan.
Hiroshi UdaDepartment of Pediatrics, Children's Hospital of Michigan, Detroit Medical Center, Wayne State University, Detroit, MI 48201, USA; Department of Neurosurgery, Osaka Metropolitan University Graduate School of Medicine, Osaka 5458585, Japan.
Kazuki SakakuraDepartment of Pediatrics, Children's Hospital of Michigan, Detroit Medical Center, Wayne State University, Detroit, MI 48201, USA; Department of Neurosurgery, University of Tsukuba, Tsukuba, Ibaraki 3058575, Japan.
Michael J CoolsDepartment of Neurosurgery, Children's Hospital of Michigan, Detroit Medical Center, Detroit, MI 48201, USA.
Aimee F LuatDepartment of Pediatrics, Children's Hospital of Michigan, Detroit Medical Center, Wayne State University, Detroit, MI 48201, USA; Department of Neurology, Children's Hospital of Michigan, Detroit Medical Center, Wayne State University, Detroit, MI 48201, USA; Department of Pediatrics, Central Michigan University, Mt. Pleasant, MI 48858, USA.
Shin-Ichiro OsawaDepartment of Neurosurgery, Tohoku University Graduate School of Medicine, Sendai 9808574, Japan.
Hitoshi NemotoDepartment of Radiological Technology, Tohoku University Hospital, Sendai 9808574, Japan.
Kazushi UkishiroDepartment of Epileptology, Tohoku University Graduate School of Medicine, Sendai 9808575, Japan.
Hidenori EndoDepartment of Neurosurgery, Tohoku University Graduate School of Medicine, Sendai 9808574, Japan.
Nobukazu NakasatoDepartment of Epileptology, Tohoku University Graduate School of Medicine, Sendai 9808575, Japan.
Yutaro TakayamaDepartment of Neurosurgery, National Center Hospital, National Center of Neurology and Psychiatry, Kodaira, Tokyo 1878551, Japan; Department of Neurosurgery, Yokohama City University, Yokohama, Kanagawa 2360004, Japan.
Keiya IijimaDepartment of Neurosurgery, National Center Hospital, National Center of Neurology and Psychiatry, Kodaira, Tokyo 1878551, Japan.
Masaki IwasakiDepartment of Neurosurgery, National Center Hospital, National Center of Neurology and Psychiatry, Kodaira, Tokyo 1878551, Japan.
Eishi AsanoDepartment of Pediatrics, Children's Hospital of Michigan, Detroit Medical Center, Wayne State University, Detroit, MI 48201, USA; Department of Neurology, Children's Hospital of Michigan, Detroit Medical Center, Wayne State University, Detroit, MI 48201, USA; Department of Pediatrics, Central Michigan University, Mt. Pleasant, MI 48858, USA. Electronic address: easano@med.wayne.edu.

Funding

Functional brain mapping in pediatric neurosurgeryR01NS064033 · NINDS · WAYNE STATE UNIVERSITY · PI EISHI ASANO · 2009 to 2026
$5.7M
NINDS NIH HHS R01 NS064033
6 · The paper itself

Abstract

objectiveTo validate models incorporating intracranial EEG-derived high-frequency activity (HFA) biomarkers for predicting the seizure onset zone (SOZ) and postsurgical seizure outcomes across independent cohorts and etiologies.

methodsWe quantified interictal HFA occurrence rates together with a comprehensive set of morphological features in people with drug-resistant epilepsy in a derivation cohort (N = 142), a temporal external cohort (N = 35), and two geographical external cohorts (N = 26 and N = 30). We developed models for SOZ localization using data from the 79 derivation cohort individuals who achieved postoperative seizure freedom. Model performance for SOZ localization and postoperative seizure outcome prediction was subsequently evaluated in the derivation, temporal external, and geographical external cohorts.

resultsHFA rate, spectral entropy, and power emerged as the most influential features for accurate SOZ classification. The model identified SOZ sites with areas under the curve (AUCs) up to 0.85, 0.86, and 0.75 in the derivation, temporal external, and geographical external cohorts, respectively. The model predicted postoperative seizure freedom in the derivation cohort (AUC up to 0.70) but failed to predict outcomes reliably in external cohorts. Among individuals in the external cohorts with MRI-nonlesional epilepsy, postoperative seizure freedom was predicted with an AUC of up to 0.73, whereas performance declined to 0.46 or lower among individuals with encephalomalacia.

conclusionsIntegration of HFA rates with morphological features yields an SOZ-localization biomarker with cross-center generalizability, whereas postoperative outcome prediction remains dependent on underlying etiology. SIGNIFICANCE: A surgical strategy prioritizing resection of HFA-involved areas may be ineffective in individuals with encephalomalacia, underscoring the need for etiology-specific interpretation of HFA biomarkers.

Indexed as

Drug Resistant EpilepsyElectrocorticographyEpilepsyAdolescentAdultBiomarkersCohort StudiesElectroencephalographyFemaleHumansMaleYoung AdultBiomarkersEpileptogenic zoneHigh-frequency oscillations (HFOs)Invasive EEG recordingPostoperative seizure freedomResective epilepsy surgery

Identifiers

PMID42322807
PMCPMC13314371

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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.