SEEG源空间时频指纹分析识别癫痫区。

IF 3.9 2区 医学 Q1 CLINICAL NEUROLOGY
Yash Shashank Vakilna, Deniz Atilgan, Johnson Hampson, Chinmay Chinara, Takfarinas Medani, Richard M. Leahy, Nuria Lacuey, Samden D. Lhatoo, Sandipan Pati, John C. Mosher, Jay R. Gavvala
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引用次数: 0

摘要

本案例研究强调了在立体脑电图(SEEG)数据源空间中应用癫痫指纹分析来准确定位复杂皮质畸形患者的癫痫区(EZ)。一位25岁的女性,患有广泛的双侧左右侧多小回症(PMG),表现为难治性局灶性癫痫发作。在头脑风暴中使用sLORETA成像算法进行的源级分析随后显示了EZ指纹分析。患者接受了mr引导的激光间质热治疗(LITT),针对确定的EZ,术后癫痫发作自由,并发症最小。将分析从传感器空间扩展到源空间,可以进一步提高复杂癫痫病例的手术计划和预后。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Time-Frequency Fingerprint Analysis in SEEG Source-Space to Identify the Epileptogenic Zone

Time-Frequency Fingerprint Analysis in SEEG Source-Space to Identify the Epileptogenic Zone

Time-Frequency Fingerprint Analysis in SEEG Source-Space to Identify the Epileptogenic Zone

This case study highlights the application of seizure fingerprint analysis in the source-space of stereo-EEG (SEEG) data to accurately localize the epileptogenic zone (EZ) in patients with complex cortical malformations. A 25-year-old female with extensive bilateral perisylvian polymicrogyria (PMG) presented with intractable focal seizures. The source-level analysis performed in Brainstorm using the sLORETA imaging algorithm subsequently showed EZ fingerprint analysis. The patient underwent MR-guided laser interstitial thermal therapy (LITT), targeting the identified EZ, resulting in postoperative seizure freedom with minimal complications. Extending the analysis from the sensor-space to the source-space could further enhance surgical planning and improve outcomes in complex epilepsy cases.

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来源期刊
Annals of Clinical and Translational Neurology
Annals of Clinical and Translational Neurology Medicine-Neurology (clinical)
CiteScore
9.10
自引率
1.90%
发文量
218
审稿时长
8 weeks
期刊介绍: Annals of Clinical and Translational Neurology is a peer-reviewed journal for rapid dissemination of high-quality research related to all areas of neurology. The journal publishes original research and scholarly reviews focused on the mechanisms and treatments of diseases of the nervous system; high-impact topics in neurologic education; and other topics of interest to the clinical neuroscience community.
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