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亚稳态振荡模式作为大脑中熵管理的标志

Metastable Oscillatory Modes as a Signature of Entropy Management in the Brain.

作者信息

Xavier Marta, Figueiredo Patrícia, Deco Gustavo, Luppi Andrea I, Cabral Joana

机构信息

Institute for Systems and Robotics (ISR-Lisboa) and Department of Bioengineering, Instituto Superior Técnico, Universidade de Lisboa, 1049-001 Lisbon, Portugal.

Center for Brain and Cognition, Computational Neuroscience Group, Department of Information and Communication Technologies, Universitat Pompeu Fabra, Roc Boronat 138, 08018 Barcelona, Spain.

出版信息

Entropy (Basel). 2024 Dec 3;26(12):1048. doi: 10.3390/e26121048.

Abstract

Entropy management, central to the Free Energy Principle, requires a process that temporarily shifts brain activity toward states of lower or higher entropy. Metastable synchronization is a process by which a system achieves entropy fluctuations by intermittently transitioning between states of collective order and disorder. Previous work has shown that collective oscillations, similar to those recorded from the brain, emerge spontaneously from weakly stable synchronization in critically coupled oscillator systems. However, direct evidence linking the formation of collective oscillations to entropy fluctuations is lacking. In this short communication, we demonstrate how the emergence of Metastable Oscillatory Modes (MOMs) is directly associated with a temporary reduction in entropy in the ongoing dynamics. We apply Shannon entropy to the distribution of eigenvalues of phase covariance over sliding time windows, capturing the temporal evolution of entropy at the level of the entire dynamical system. By demonstrating how the formation of MOMs impacts a system's entropy levels, we bridge theoretical works on the physics of coupled oscillators with the FEP framework, supporting the hypothesis that brain rhythms recorded experimentally are a signature of entropy management.

摘要

熵管理是自由能原理的核心,它需要一个能使大脑活动暂时向熵值较低或较高状态转变的过程。亚稳态同步是一个系统通过在集体有序和无序状态之间间歇性转换来实现熵波动的过程。先前的研究表明,类似于从大脑记录到的集体振荡,在临界耦合振荡器系统中,从弱稳定同步中自发出现。然而,缺乏将集体振荡的形成与熵波动联系起来的直接证据。在这篇简短的通讯中,我们展示了亚稳态振荡模式(MOMs)的出现如何与正在进行的动力学中熵的暂时降低直接相关。我们将香农熵应用于滑动时间窗口上相位协方差特征值的分布,在整个动力系统层面捕捉熵的时间演化。通过展示MOMs的形成如何影响系统的熵水平,我们将耦合振荡器物理学的理论工作与自由能原理框架联系起来,支持了实验记录的脑节律是熵管理特征的假设。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d3fe/11675728/15c1161ac98d/entropy-26-01048-g001.jpg

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