Suppr超能文献

一种γ波段脑间耦合的神经动力学模型。

A neurodynamic model of inter-brain coupling in the gamma band.

机构信息

Precision Psychiatry and Social Physiology Laboratory (PPSP), CHU Sainte-Justine Research Center, Montreal, Quebec, Canada.

Department of Psychiatry, University of Montréal, Quebec, Canada.

出版信息

J Neurophysiol. 2022 Nov 1;128(5):1085-1090. doi: 10.1152/jn.00224.2022. Epub 2022 Sep 7.

Abstract

The use of EEG to simultaneously record multiple brains (i.e., hyperscanning) during social interactions has led to the discovery of inter-brain coupling (IBC). IBC is defined as the neural synchronization between people and is considered to be a marker of social interaction. IBC has previously been observed across different frequency bands, including theta [4-7 Hz]. Given the proximity of this frequency range with behavioral rhythms, models have been able to combine IBC in theta with sensorimotor coordination patterns. Interestingly, empirical EEG-hyperscanning results also report the emergence of IBC in the gamma range [>30 Hz]. Gamma oscillations' fast and transient nature makes a direct link between gamma-IBC and other (much slower) interpersonal dynamics difficult, leaving gamma-IBC without a plausible model. However, at the intrabrain level, gamma activity is coupled with the dynamics of lower frequencies through cross-frequency coupling (CFC). This paper provides a biophysical explanation, through the simulation of neural data, for the emergence of gamma inter-brain coupling using a Kuramoto model of four oscillators divided into two separate (brain) units. By modulating both the degree of inter-brain coupling in the theta band (i.e., between-units coupling) and CFC (i.e., intraunit theta-gamma coupling), we provide a theoretical explanation of the observed gamma-IBC phenomenon in the EEG-hyperscanning literature. The last years were marked by an increasing interest in multiple-brain recordings. However, the inter-brain coupling arising across interacting individuals also sparks debates about the underlying biological mechanisms. The inter-brain coupling in the gamma band [>30 Hz] was particularly criticized for lacking a theoretical framework. Here, by using biologically informed neural simulations with the Kuramoto model, we assess the role of intra- and inter-brain neural dynamics in the emergence of inter-brain synchrony in the gamma band.

摘要

利用脑电图(EEG)在社交互动期间同时记录多个大脑(即超扫描),导致了脑间耦合(IBC)的发现。IBC 被定义为人与人之间的神经同步,被认为是社交互动的标志。IBC 以前在不同的频带中都有观察到,包括 theta [4-7 Hz]。鉴于这个频率范围与行为节律的接近程度,模型已经能够将 theta 中的 IBC 与感觉运动协调模式结合起来。有趣的是,实证 EEG 超扫描结果还报告了在伽马范围内 [>30 Hz] 出现 IBC。伽马振荡的快速和瞬态性质使得伽马-IBC 与其他(慢得多)人际动力学之间的直接联系变得困难,使得伽马-IBC 没有合理的模型。然而,在脑内水平上,伽马活动通过交叉频率耦合(CFC)与较低频率的动力学耦合。本文通过模拟神经数据,为使用分为两个独立(脑)单元的四个振荡器的 Kuramoto 模型在伽马范围内出现的伽马脑间耦合提供了一个生物物理解释。通过调制 theta 带中的脑间耦合程度(即单元间耦合)和 CFC(即单元内 theta-伽马耦合),我们为 EEG 超扫描文献中观察到的伽马-IBC 现象提供了理论解释。过去几年,对多脑记录的兴趣日益增加。然而,在相互作用的个体之间出现的脑间耦合也引发了关于潜在生物机制的争论。在伽马带[>30 Hz]中出现的脑间耦合特别因为缺乏理论框架而受到批评。在这里,我们使用基于 Kuramoto 模型的具有生物学意义的神经模拟来评估大脑内和大脑间神经动力学在伽马带中脑间同步出现中的作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e514/9621703/3d81a6907c64/jn-00224-2022r01.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验