Epileptic seizure biophysics: the role of local voltage difference.

IF 16.7 2区 医学 Q1 MEDICINE, GENERAL & INTERNAL
Kui-Ying Yin, Tao Yu, Chuan Liu, Jin-Rong Yin
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Abstract

Background: Epilepsy is a neurological disorder characterized by recurrent seizures due to hyperexcitable neuronal network activity. The manifestations vary widely, ranging from subtle sensory disturbances to profound alterations of consciousness, depending on which brain regions are affected and their underlying etiology. Exploring the biophysical mechanisms of epileptic seizures holds significant for predicting and controlling the disease.

Methods: We analyzed 45 spontaneous seizures recorded from 24 patients with focal epilepsy, as well as stimulation-induced seizures from 2 additional patients. A second-order Butterworth low-pass filter isolated the slow-varying direct current (Sv DC) component (0.01-0.5 Hz), a frequency range often overlooked in electroencephalography. The energy ratio of the Sv DC component was calculated by dividing its total energy by the total signal energy during seizures and over a 1-hour period including the seizure, enabling comparison between ictal and interictal states.

Results: The Sv DC component exhibited spatially dynamic changes during both ictal and interictal periods and showed a moderate correlation with high-frequency activity. Moreover, it accounted for a high energy proportion in both periods, with seizure data showing that 80.82% of leads had ≥ 60% Sv DC energy. Notably, interictal Sv DC fluctuations were more pronounced in electrodes located within the epileptogenic zone, suggesting its potential as a marker for epileptogenic localization. Furthermore, the temporal variability of the Sv DC signal, reflected in its dispersion, demonstrates potential as an early indicator of seizure development.

Conclusions: The Sv DC component may reflect local voltage differences likely linked to ion channel activity, potentially contributing to seizure initiation. Combined analysis of Sv DC with low- and high-frequency components offers a comprehensive framework for understanding epileptic networks and guiding diagnosis and therapy.

癫痫发作的生物物理学:局部电压差的作用。
背景:癫痫是一种神经系统疾病,其特征是由于过度兴奋的神经网络活动引起的反复发作。其表现各异,从细微的感觉障碍到深刻的意识改变,取决于受影响的大脑区域及其潜在的病因。探索癫痫发作的生物物理机制对预测和控制该病具有重要意义。方法:我们分析了24例局灶性癫痫患者的45次自发性癫痫发作,以及另外2例刺激诱发性癫痫发作。二阶巴特沃斯低通滤波器隔离了慢变直流电(Sv DC)分量(0.01-0.5 Hz),这个频率范围在脑电图中经常被忽略。Sv - DC分量的能量比是通过将其总能量除以癫痫发作期间和包括癫痫发作在内的1小时内的总信号能量来计算的,从而可以比较发作和间歇状态。结果:Sv - DC分量在峰间期和峰间期均呈现空间动态变化,与高频活动呈中度相关。此外,它在两个时期都占了很高的能量比例,检出数据显示80.82%的引线具有≥60%的Sv直流能量。值得注意的是,间隔期Sv直流波动在癫痫区电极中更为明显,这表明其可能是癫痫定位的标志。此外,Sv - DC信号的时间变异性,反映在其色散上,显示了作为癫痫发作发展的早期指标的潜力。结论:Sv - DC成分可能反映了可能与离子通道活性相关的局部电压差异,可能导致癫痫发作。Sv DC与低频和高频成分的联合分析为理解癫痫网络和指导诊断和治疗提供了一个全面的框架。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Military Medical Research
Military Medical Research Medicine-General Medicine
CiteScore
38.40
自引率
2.80%
发文量
485
审稿时长
8 weeks
期刊介绍: Military Medical Research is an open-access, peer-reviewed journal that aims to share the most up-to-date evidence and innovative discoveries in a wide range of fields, including basic and clinical sciences, translational research, precision medicine, emerging interdisciplinary subjects, and advanced technologies. Our primary focus is on modern military medicine; however, we also encourage submissions from other related areas. This includes, but is not limited to, basic medical research with the potential for translation into practice, as well as clinical research that could impact medical care both in times of warfare and during peacetime military operations.
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