Evidence map›Paper›PMID 40620780›Full record

ArticlePeerJ2025

Interictal neural fragility predicts seizure onset zone and surgical outcomes in drug-resistant epilepsy.

Yue Pang, Yixuan Yang, Yunqing Lin, Jianyu Zhu, Penghui Liu, Yu Tian, Feng Wang, Zhen Mei, Dezhi Kang, Miao Cao and 1 more

Abstract read
In one paragraph

Article in PeerJ, 2025. 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

11 authors.

Yue PangFujian Medical University, Fuzhou, China.
Yixuan YangBeijing City Key Lab for Medical Physics and Engineering, Beijing, China.
Yunqing LinFujian Medical University, Fuzhou, China.
Jianyu ZhuFujian Medical University, Fuzhou, China.
Penghui LiuFujian Medical University, Fuzhou, China.
Yu TianFujian Medical University, Fuzhou, China.
Feng WangFujian Medical University, Fuzhou, China.
Zhen MeiFujian Medical University, Fuzhou, China.
Dezhi KangFujian Medical University, Fuzhou, China.
Miao CaoBeijing City Key Lab for Medical Physics and Engineering, Beijing, China.
Yuanxiang LinFujian Medical University, Fuzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Epilepsy is a chronic neurological disorder affecting approximately 70 million individuals worldwide, with a significant subset of patients exhibiting drug-resistant epilepsy (DRE). Accurate identification of the seizure onset zone (SOZ) is crucial for successful surgical intervention. This study investigates interictal neural fragility as a potential biomarker for predicting SOZ and guiding treatment outcomes in DRE patients. By applying dynamic mode decomposition (DMD) techniques to interictal stereoelectroencephalography (SEEG) data from 30 patients, we generated patient-specific dynamic network models and constructed fragility heatmaps. Our findings demonstrate that patients with favorable surgical outcomes exhibit significantly higher fragility in the SOZ during interictal periods. The fragility-based SOZ prediction model showed high sensitivity and specificity, with a strong concordance between the predicted SOZ and clinically identified treatment targets. This study highlights the clinical utility of interictal neural fragility in enhancing SOZ localization and improving treatment strategies for patients with low seizure frequency. Future research should focus on integrating this model into clinical workflows and exploring its potential in personalized treatment approaches.

Indexed as

Drug Resistant EpilepsySeizuresAdolescentAdultElectroencephalographyFemaleHumansMaleMiddle AgedTreatment OutcomeYoung AdultDrug-resistant epilepsy (DRE)EpilepsyInterictal neural fragilitySeizure onset zone (SOZ)Stereoelectroencephalography (SEEG)

Identifiers

PMID40620780
PMCPMC12226985

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.