ArticleSheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi2025
[Localizing target for transcranial electrical stimulation in epilepsy patients combining scalp electroencephalogram and neural computational model].
Article in Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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1 citing paper in PubMed.
- [A study on the propagation characteristics of epileptic spike signals based on simultaneous intracranial and scalp electroencephalography].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2026Article
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3 authors.
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Abstract
For patients with MRI-negative drug-resistant epilepsy, noninvasive localization of targets for transcranial electrical stimulation (tES) remains a clinical challenge. This study proposes a novel target localization approach that integrates electroencephalogram source imaging, brain network analysis, and a neural computational model. We analyzed electrocorticography (ECoG) data from 12 patients, quantified the epileptogenicity of epileptic network nodes, and noninvasively located optimal stimulation targets. Three source imaging methods and two brain network reconstruction measures were compared for localization performance. Among four patients with good outcomes, the method accurately localized epileptogenic tissues in three. Results of tES simulation demonstrated that cathodal direct current stimulation of the target region significantly reduced the brain network's epileptogenicity. This study provides a noninvasive, quantifiable targeting strategy for tES therapy in epilepsy patients.
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