{"title":"Individualized Target Selection of Closed-loop Electrical Stimulation for the Treatment of Spontaneous Temporal Lobe Epilepsy.","authors":"Yufang Yang, Haoqi Ni, Yuting Sun, Yanjie Xing, Chang Wang, Jianmin Zhang, Junming Zhu, Kedi Xu","doi":"10.1109/TNSRE.2025.3614867","DOIUrl":null,"url":null,"abstract":"<p><p>Closed-loop neuromodulation holds significant promise for treating refractory epilepsy, but the lack of specificity and individualization considerably limits its clinical efficacy. Given the inherent complexity of epilepsy, which involves multiple brain regions and significant interindividual variability, a network-guided, personalized approach is essential. This study aims to develop precise, individualized neuromodulation strategies by leveraging unique brain network characteristics. Using a closed-loop system in chronic temporal lobe epilepsy (cTLE) rats, continuous neural signals were analyzed to identify optimal stimulation targets via the Granger causality (GC) method. Results showed that brain network connectivity remained stable in the short term but changed significantly over time. GC-guided stimulation effectively reduced seizure duration, enhancing θ and α frequency band activity while suppressing γ activity. Additionally, targeted stimulation briefly inhibited interictal spikes and suppressed high-frequency oscillations during seizures. These findings highlight the potential for personalized neuromodulation to improve epilepsy treatment outcomes and deepen understanding of its underlying mechanisms.</p>","PeriodicalId":13419,"journal":{"name":"IEEE Transactions on Neural Systems and Rehabilitation Engineering","volume":"PP ","pages":""},"PeriodicalIF":5.2000,"publicationDate":"2025-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Neural Systems and Rehabilitation Engineering","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1109/TNSRE.2025.3614867","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, BIOMEDICAL","Score":null,"Total":0}
引用次数: 0
Abstract
Closed-loop neuromodulation holds significant promise for treating refractory epilepsy, but the lack of specificity and individualization considerably limits its clinical efficacy. Given the inherent complexity of epilepsy, which involves multiple brain regions and significant interindividual variability, a network-guided, personalized approach is essential. This study aims to develop precise, individualized neuromodulation strategies by leveraging unique brain network characteristics. Using a closed-loop system in chronic temporal lobe epilepsy (cTLE) rats, continuous neural signals were analyzed to identify optimal stimulation targets via the Granger causality (GC) method. Results showed that brain network connectivity remained stable in the short term but changed significantly over time. GC-guided stimulation effectively reduced seizure duration, enhancing θ and α frequency band activity while suppressing γ activity. Additionally, targeted stimulation briefly inhibited interictal spikes and suppressed high-frequency oscillations during seizures. These findings highlight the potential for personalized neuromodulation to improve epilepsy treatment outcomes and deepen understanding of its underlying mechanisms.
期刊介绍:
Rehabilitative and neural aspects of biomedical engineering, including functional electrical stimulation, acoustic dynamics, human performance measurement and analysis, nerve stimulation, electromyography, motor control and stimulation; and hardware and software applications for rehabilitation engineering and assistive devices.