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呼吸波:理解呼吸-脑耦合作为预测性振荡的梯度。

Breathing in waves: Understanding respiratory-brain coupling as a gradient of predictive oscillations.

机构信息

Center of Functionally Integrative Neuroscience, Aarhus University, Denmark.

Institute for Biomagnetism and Biosignal Analysis, University of Münster, Germany.

出版信息

Neurosci Biobehav Rev. 2023 Sep;152:105262. doi: 10.1016/j.neubiorev.2023.105262. Epub 2023 Jun 3.

Abstract

Breathing plays a crucial role in shaping perceptual and cognitive processes by regulating the strength and synchronisation of neural oscillations. Numerous studies have demonstrated that respiratory rhythms govern a wide range of behavioural effects across cognitive, affective, and perceptual domains. Additionally, respiratory-modulated brain oscillations have been observed in various mammalian models and across diverse frequency spectra. However, a comprehensive framework to elucidate these disparate phenomena remains elusive. In this review, we synthesise existing findings to propose a neural gradient of respiratory-modulated brain oscillations and examine recent computational models of neural oscillations to map this gradient onto a hierarchical cascade of precision-weighted prediction errors. By deciphering the computational mechanisms underlying respiratory control of these processes, we can potentially uncover new pathways for understanding the link between respiratory-brain coupling and psychiatric disorders.

摘要

呼吸通过调节神经振荡的强度和同步性,在塑造感知和认知过程中起着关键作用。大量研究表明,呼吸节律控制着认知、情感和感知领域的广泛行为效应。此外,在各种哺乳动物模型和不同的频谱中都观察到了呼吸调制的脑振荡。然而,一个阐明这些不同现象的综合框架仍然难以捉摸。在这篇综述中,我们综合了现有研究结果,提出了一个呼吸调制脑振荡的神经梯度,并研究了最近的神经振荡计算模型,将这个梯度映射到一个分层的、精确权重预测误差的级联上。通过破译这些过程中呼吸控制的计算机制,我们有可能揭示呼吸-大脑耦合与精神障碍之间联系的新途径。

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