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基于交叉频率耦合分析的颞叶癫痫致痫区定位

Epileptogenic Zone Location of Temporal Lobe Epilepsy by Cross-Frequency Coupling Analysis.

作者信息

Liu Xiaotong, Han Fang, Fu Rui, Wang Qingyun, Luan Guoming

机构信息

Department of Dynamics and Control, Beihang University, Beijing, China.

College of Information Science and Technology, Donghua University, Shanghai, China.

出版信息

Front Neurol. 2021 Nov 16;12:764821. doi: 10.3389/fneur.2021.764821. eCollection 2021.

Abstract

Epilepsy is a chronic brain disease with dysfunctional brain networks, and electroencephalography (EEG) is an important tool for epileptogenic zone (EZ) identification, with rich information about frequencies. Different frequency oscillations have different contributions to brain function, and cross-frequency coupling (CFC) has been found to exist within brain regions. Cross-channel and inter-channel analysis should be both focused because they help to analyze how epilepsy networks change and also localize the EZ. In this paper, we analyzed long-term stereo-electroencephalography (SEEG) data from 17 patients with temporal lobe epilepsy. Single-channel and cross-channel CFC features were combined to establish functional brain networks, and the network characteristics under different periods and the localization of EZ were analyzed. It was observed that theta-gamma phase amplitude coupling (PAC) within the electrodes in the seizure region increased during the ictal ( < 0.05). Theta-gamma and delta-gamma PAC of cross-channel were enhanced in the early and mid-late ictal, respectively. It was also found that there was a strong cross-frequency coupling state between channels of EZ in the functional network during the ictal, along with a more regular network than interictal. The accuracy rate of EZ localization was 82.4%. Overall, the combination of single-channel and multi-channel cross-band coupling analysis can help identify seizures and localize EZ for temporal lobe epilepsy. Rhythmic coupling reveals a relationship between the functional network and the seizure status of epilepsy.

摘要

癫痫是一种脑网络功能失调的慢性脑部疾病,脑电图(EEG)是识别癫痫病灶区(EZ)的重要工具,包含丰富的频率信息。不同频率振荡对脑功能有不同贡献,且已发现脑区内部存在交叉频率耦合(CFC)。跨通道和通道间分析都应予以关注,因为它们有助于分析癫痫网络如何变化以及对癫痫病灶区进行定位。在本文中,我们分析了17例颞叶癫痫患者的长期立体脑电图(SEEG)数据。将单通道和跨通道CFC特征相结合以建立功能性脑网络,并分析不同时期的网络特征及癫痫病灶区的定位。观察到发作期癫痫区域电极内的θ-γ相位振幅耦合(PAC)增加(<0.05)。跨通道的θ-γ和δ-γ PAC分别在发作早期和中晚期增强。还发现发作期功能性网络中癫痫病灶区通道之间存在强烈的交叉频率耦合状态,且网络比发作间期更规则。癫痫病灶区定位准确率为82.4%。总体而言,单通道和多通道跨频段耦合分析相结合有助于识别颞叶癫痫发作并定位癫痫病灶区。节律性耦合揭示了癫痫功能性网络与发作状态之间的关系。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/53cd/8636749/cbe9ab331497/fneur-12-764821-g0001.jpg

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