The part and the whole: how single nodes contribute to large-scale phase-locking in functional EEG networks.

IF 3.7 3区医学 Q1 CLINICAL NEUROLOGY

Clinical Neurophysiology Pub Date : 2024-12-01 Epub Date: 2024-09-19 DOI:10.1016/j.clinph.2024.09.008

Anaïs Espinoso, Marc G Leguia, Christian Rummel, Kaspar Schindler, Ralph G Andrzejak

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引用次数: 0

Abstract

Objective: The application of signal analysis techniques to electroencephalographic (EEG) recordings from epilepsy patients shows that epilepsy involves not only altered neuronal synchronization but also the reorganization of functional EEG networks. This study aims to assess the large-scale phase-locking of such functional networks and how individual network nodes contribute to this collective dynamics.

Methods: We analyze the EEG recorded before, during and after seizures from sixteen patients with pharmacoresistant focal-onset epilepsy. The data is filtered to low (4-30 Hz) and high (80-150 Hz) frequencies. We define the multivariate phase-locking measure and the univariate phase-locking contribution measure. Surrogate signals are used to estimate baseline results expected under the null hypothesis that the EEG is a correlated linear stochastic process.

Results: On average, nodes from inside and outside the seizure onset zone (SOZ) increase and decrease, respectively, the large-scale phase-locking. This difference becomes most evident in a joint analysis of low and high frequencies.

Conclusions: Nodes inside and outside the SOZ play opposite roles for the large-scale phase-locking in functional EEG network in epilepsy patients.

Significance: The application of the phase-locking contribution measure to EEG recordings from epilepsy patients can potentially help in localizing the SOZ.

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部分与整体：单个节点如何促进功能性脑电图网络中的大规模相位锁定。

目的：将信号分析技术应用于癫痫患者的脑电图（EEG）记录显示，癫痫不仅涉及神经元同步性的改变，还涉及脑电图功能网络的重组。本研究旨在评估此类功能网络的大规模相位锁定，以及单个网络节点如何对这种集体动态做出贡献：我们分析了 16 名药物耐受性局灶性癫痫患者在癫痫发作前、发作期间和发作后记录的脑电图。数据经过低频（4-30 Hz）和高频（80-150 Hz）过滤。我们定义了多变量锁相测量和单变量锁相贡献测量。代用信号用于估计在脑电图是相关线性随机过程这一无效假设下的预期基线结果：平均而言，发作起始区（SOZ）内外的节点分别增加和减少了大规模锁相。这种差异在联合分析低频和高频时最为明显：结论：在癫痫患者的功能性脑电图网络中，SOZ 内外的节点对大规模锁相起着相反的作用：应用锁相贡献测量癫痫患者的脑电图记录可能有助于定位 SOZ。

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

Clinical Neurophysiology 医学-临床神经学

CiteScore

8.70

自引率

6.40%

发文量

932

审稿时长

59 days

期刊介绍： As of January 1999, The journal Electroencephalography and Clinical Neurophysiology, and its two sections Electromyography and Motor Control and Evoked Potentials have amalgamated to become this journal - Clinical Neurophysiology. Clinical Neurophysiology is the official journal of the International Federation of Clinical Neurophysiology, the Brazilian Society of Clinical Neurophysiology, the Czech Society of Clinical Neurophysiology, the Italian Clinical Neurophysiology Society and the International Society of Intraoperative Neurophysiology.The journal is dedicated to fostering research and disseminating information on all aspects of both normal and abnormal functioning of the nervous system. The key aim of the publication is to disseminate scholarly reports on the pathophysiology underlying diseases of the central and peripheral nervous system of human patients. Clinical trials that use neurophysiological measures to document change are encouraged, as are manuscripts reporting data on integrated neuroimaging of central nervous function including, but not limited to, functional MRI, MEG, EEG, PET and other neuroimaging modalities.