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自动检测癫痫中的 EEG 棘波模式:经颅电流刺激治疗效果评估。

Automatic Detection of the EEG Spike-Wave Patterns in Epilepsy: Evaluation of the Effects of Transcranial Current Stimulation Therapy.

机构信息

Nalecz Institute of Biocybernetics and Biomedical Engineering, Polish Academy of Sciences, 02-109 Warsaw, Poland.

Independent Researcher, 02-797 Warsaw, Poland.

出版信息

Int J Mol Sci. 2024 Aug 22;25(16):9122. doi: 10.3390/ijms25169122.

Abstract

This study aims to develop a detection method based on morphological features of spike-wave (SW) patterns in the EEG of epilepsy patients and evaluate the effect of cathodal transcranial direct current stimulation (ctDCS) treatment. The proposed method is based on several simple features describing the shape of SW patterns and their synchronous occurrence on at least two EEG channels. High sensitivity, specificity and selectivity values were achieved for each patient and condition. ctDCS resulted in a significant reduction in the number of detected patterns, a decrease in spike duration and amplitude, and an increased spike mobility. The proposed method allows efficient identification of SW patterns regardless of brain condition, although the recruitment of patterns may be modified by ctDCS. This method can be useful in the clinical evaluation of ctDCS effects.

摘要

本研究旨在开发一种基于癫痫患者脑电图中棘波-慢波(SW)模式形态特征的检测方法,并评估阴极经颅直流电刺激(ctDCS)治疗的效果。所提出的方法基于描述 SW 模式形状及其在至少两个 EEG 通道上同步发生的几个简单特征。对于每个患者和情况,都获得了高灵敏度、特异性和选择性值。ctDCS 导致检测到的模式数量显著减少,棘波持续时间和幅度降低,棘波活动性增加。该方法允许有效地识别 SW 模式,而不受大脑状态的影响,尽管 ctDCS 可能会改变模式的募集。该方法可用于临床评估 ctDCS 的效果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/de19/11354554/4364a9a187bf/ijms-25-09122-g001.jpg

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