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比较事件相关调制指数与传统方法,利用模拟脑信号评估相位-振幅耦合。

Comparison of event-related modulation index and traditional methods for evaluating phase-amplitude coupling using simulated brain signals.

机构信息

Department of Electrical Engineering, Fu Jen Catholic University, New Taipei City, Taiwan.

Institute of Statistical Science, Academia Sinica, Taipei, Taiwan.

出版信息

Biol Cybern. 2022 Dec;116(5-6):569-583. doi: 10.1007/s00422-022-00944-7. Epub 2022 Sep 17.

Abstract

The investigation of brain oscillations and connectivity has become an important topic in the recent decade. There are several types of interactions between neuronal oscillations, and one of the most interesting among these interactions is phase-amplitude coupling (PAC). Several methods have been proposed to measure the strength of PAC, including the phase-locking value, circular-linear correlation, and modulation index. In the current study, we compared these traditional PAC methods with simulated electroencephalogram signals. Further, to assess the PAC value at each time point, we also compared two recently established methods, event-related phase-locking value and event-related circular-linear correlation, with our newly proposed event-related modulation index (ERMI). Results indicated that the ERMI has better temporal resolution and is more tolerant to noise than the other two event-related methods, suggesting the advantages of utilizing ERMI in evaluating the strength of PAC within a brain region.

摘要

近十年来,脑振荡和连接的研究已成为一个重要课题。神经元振荡之间存在几种类型的相互作用,其中最有趣的相互作用之一是相位-振幅耦合(PAC)。已经提出了几种测量 PAC 强度的方法,包括锁相值、圆-线相关和调制指数。在本研究中,我们将这些传统的 PAC 方法与模拟脑电图信号进行了比较。此外,为了评估每个时间点的 PAC 值,我们还将两种新建立的方法,即事件相关锁相值和事件相关圆-线相关,与我们新提出的事件相关调制指数(ERMI)进行了比较。结果表明,ERMI 具有更好的时间分辨率,并且比其他两种事件相关方法对噪声更具耐受性,这表明在评估脑区 PAC 强度时利用 ERMI 的优势。

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