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Recursive independent component analysis-decomposition of ictal EEG to select the best ictal component for EEG source imaging
Clinical Neurophysiology ( IF 4.7 ) Pub Date : 2020-03-01 , DOI: 10.1016/j.clinph.2019.11.058
Mohammad Ashfak Habib 1 , Fatimah Ibrahim 2 , Mas S Mohktar 2 , Shahrul Bahyah Kamaruzzaman 3 , Kheng Seang Lim 3
Affiliation  

OBJECTIVE This study aimed to present a new ictal component selection technique, named as recursive ICA-decomposition for ictal component selection (RIDICS), for potential application in epileptogenic zone localization. METHODS The proposed technique decomposes ictal EEG recursively, eliminates a few unwanted components in every recursive cycle, and finally selects the most significant ictal component. Back-projected EEG, regenerated from that component, was used for source estimation. Fifty sets of simulated EEGs and 24 seizures in 8 patients were analyzed. Dipole sources of simulated-EEGs were compared with a known dipole location whereas epileptogenic zones of the seizures were compared with their corresponding sites of successful surgery. The RIDICS technique was compared with a conventional technique. RESULTS The RIDICS technique estimated the dipole sources at an average distance of 12.86 mm from the original dipole location, shorter than the distances obtained using the conventional technique. Epileptogenic zones of the patients, determined by the RIDICS technique, were highly concordant with the sites of surgery with a concordance rate of 83.33%. CONCLUSIONS Results show that the RIDICS technique can be a promising quantitative technique for ictal component selection. SIGNIFICANCE Properly selected ictal component gives good approximation of epileptogenic zone, which eventually leads to successful epilepsy surgery.

中文翻译:

递归独立成分分析-分解发作期脑电图选择最佳发作期脑电图源成像

目的 本研究旨在提出一种新的发作成分选择技术,称为递归 ICA 分解用于发作成分选择 (RIDICS),以用于癫痫发生区定位的潜在应用。方法所提出的技术递归地分解发作期脑电图,在每个递归循环中消除一些不需要的成分,最后选择最重要的发作期成分。从该组件再生的反向投影 EEG 用于源估计。分析了 8 名患者的 50 组模拟脑电图和 24 次癫痫发作。将模拟脑电图的偶极子源与已知的偶极子位置进行比较,而将癫痫发作的致癫痫区与其相应的成功手术部位进行比较。RIDICS 技术与传统技术进行了比较。结果 RIDICS 技术估计偶极子源距离原始偶极子位置的平均距离为 12.86 毫米,比使用传统技术获得的距离更短。RIDICS技术确定的患者癫痫区与手术部位高度一致,一致率为83.33%。结论 结果表明,RIDICS 技术是一种很有前途的发作成分选择定量技术。意义 正确选择发作成分可以很好地接近致痫区,最终导致成功的癫痫手术。与手术部位高度一致,一致率为83.33%。结论 结果表明,RIDICS 技术是一种很有前途的发作成分选择定量技术。意义 正确选择发作成分可以很好地接近致痫区,最终导致成功的癫痫手术。与手术部位高度一致,一致率为83.33%。结论 结果表明,RIDICS 技术是一种很有前途的发作成分选择定量技术。意义 正确选择发作成分可以很好地接近致痫区,最终导致成功的癫痫手术。
更新日期:2020-03-01
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