Evidence map›Paper›PMID 40743477›Full record

Observational studyNeurology2025

Localization of the Epileptogenic Zone Using Neural Spatial Volatility in Epilepsy Surgery.

Naoto Kuroda, Hiroshi Uda, Keiki Inoue, Yu Kitazawa, Shin-Ichiro Osawa, Hitoshi Nemoto, Makoto Ishida, Kazushi Ukishiro, Aimee F Luat, Hidenori Endo and 2 more

Abstract readObservational StudyMulticenter Study
In one paragraph

Observational study in Neurology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Internal and external validation of comprehensive high-frequency activity biomarkers for epilepsy surgery.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2026
    Article
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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.

Naoto KurodaDepartment of Pediatrics, Children's Hospital of Michigan, Detroit Medical Center, Wayne State University.
Hiroshi UdaDepartment of Pediatrics, Children's Hospital of Michigan, Detroit Medical Center, Wayne State University.ORCID 0000-0002-7814-697X
Keiki InoueDepartment of Neurology, National Hospital Organization Sendai Medical Center, Japan.
Yu KitazawaDepartment of Neurology and Stroke Medicine, Yokohama City University Graduate School of Medicine, Japan.
Shin-Ichiro OsawaDepartment of Epileptology, Tohoku University Graduate School of Medicine, Sendai, Japan.ORCID 0000-0001-8794-1740
Hitoshi NemotoDepartment of Radiological Technology, Tohoku University Hospital, Sendai, Japan.
Makoto IshidaDepartment of Epileptology, Tohoku University Graduate School of Medicine, Sendai, Japan.
Kazushi UkishiroDepartment of Epileptology, Tohoku University Graduate School of Medicine, Sendai, Japan.
Aimee F LuatDepartment of Pediatrics, Children's Hospital of Michigan, Detroit Medical Center, Wayne State University.
Hidenori EndoDepartment of Neurosurgery, Tohoku University Graduate School of Medicine, Sendai, Japan.
Nobukazu NakasatoDepartment of Epileptology, Tohoku University Graduate School of Medicine, Sendai, Japan.
Eishi AsanoDepartment of Pediatrics, Children's Hospital of Michigan, Detroit Medical Center, Wayne State University.ORCID 0000-0001-8391-4067

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

BACKGROUND AND

objectivesDiseased tissues in the human brain frequently exhibit marked alterations in structural and functional properties compared with adjacent, unaffected regions, whereas healthy tissues display intrinsic, milder topographical variability in these properties. We hypothesized that the epileptogenic zone responsible for drug-resistant focal seizures would be characterized by pronounced alterations in electrographic properties relative to adjacent regions.

methodsThis international, multicenter observational study aimed to test this hypothesis by studying patients with drug-resistant focal epilepsy who underwent curative epilepsy surgery following intracranial EEG (iEEG) recording, with at least 1 year of postoperative follow-up. In this study, "neural spatial volatility" was defined as differences in interictal high-frequency electrographic measures compared with adjacent areas. We tested whether greater neural spatial volatility in resected compared to preserved sites predicts postoperative seizure freedom, independently of clinical, neuroimaging, and ictal iEEG data. In addition, we examined whether incorporating neural spatial volatility into an outcome prediction model, based on the standard-care presurgical evaluation, would improve its performance.

resultsIn a derivation cohort of 140 patients with 14,933 samples of iEEG electrodes (mean age 13.1 years; female 68 [48.6%]; postoperative seizure freedom 98 [70.0%]), greater neural spatial volatility in resected compared with preserved sites was an independent predictor of postoperative seizure freedom. The outcome prediction model considering the neural spatial volatility improved the classification performance, showing the area under the curve up to 0.825 (95% CI 0.747-0.902; DISCUSSION: Despite the limitations of the retrospective study and the relatively small validation cohort, our findings suggest that increased heterogeneity in the mesoscale distribution of interictal high-frequency activity is a distinguishing feature of the epileptogenic zone in drug-resistant focal epilepsy, potentially offering a novel marker for its localization.

Indexed as

BrainDrug Resistant EpilepsyEpilepsies, PartialAdolescentAdultChildElectrocorticographyElectroencephalographyFemaleHumansMaleYoung Adult

Identifiers

PMID40743477
PMCPMC12320287

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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.