有意识呼吸增强双向皮质-自主神经调节:脑电图频带功率和心率变异性的动态。

IF 3.5 4区 医学 Q2 NEUROSCIENCES
Frontiers in Systems Neuroscience Pub Date : 2025-09-29 eCollection Date: 2025-01-01 DOI:10.3389/fnsys.2025.1650475
MariNieves Pardo-Rodriguez, Erik Bojorges-Valdez, Oscar Arias-Carrion, Oscar Yanez-Suarez
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引用次数: 0

摘要

意识呼吸影响脑-体信号的机制在很大程度上仍未被探索。了解受控呼吸如何调节神经和自主神经活动可以为自我调节和适应性生理控制提供见解。本研究通过分析脑电图频带功率时间序列(BPts)、心率变异性(HRV)和呼吸信号之间的双向相互作用,探讨了有意识呼吸如何影响皮层-自主神经通讯。方法:15名健康受试者在三种实验条件下进行数据采集:自主呼吸状态(Rest)和两种受控呼吸任务(CBT 1和CBT 2)。分析脑电图记录,计算δ、θ、α、β和γ频段的bpt,同时从ECG数据中获得HRV和呼吸信号。对HRV和BPts进行交叉谱分析和格兰杰因果关系检验。为了进一步研究定向相互作用,我们探索了使用经验模态分解提取的bp分量与HRV和呼吸信号之间的格兰杰因果关系。结果:神经系统和自主神经系统之间存在双向格兰杰因果关系,强调脑和身体之间的动态相互作用。特定的BPts成分介导神经自主通信,其中一个成分在cbt期间始终与有意识呼吸的频率(~0.05 Hz)一致。该频率的交叉频谱峰及其谐波突出了呼吸干扰在优化神经自主同步中的作用。在快速和慢速组分中观察到的频率特异性机制反映了通过皮质调节自主神经功能的复杂调节。在γ波段观察到最突出的因果效应,表明其在动态自主调节中起关键作用,可能作为大脑和身体之间的通信途径。讨论:我们的研究结果表明,有意识的呼吸通过频率特异性的动态神经机制增强了双向皮层-自主神经调节。这些发现支持由神经-呼吸夹带驱动的生理调节闭环模型,并表明呼吸可以作为一种自上而下的自主控制机制。通过阐明有意识呼吸如何塑造脑-体动力学,本研究为神经自我调节的研究奠定了基础,并为改善心理和生理健康的非药物干预的发展提供了支持。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Conscious breathing enhances bidirectional cortical-autonomic modulation: dynamics of EEG band power and heart rate variability.

Introduction: The mechanisms by which conscious breathing influences brain-body signaling remain largely unexplored. Understanding how controlled breathing modulates neural and autonomic activity can offer insights into self-regulation and adaptive physiological control. This study investigates how conscious breathing affects cortical-autonomic communication by analyzing bidirectional interactions between EEG band power time series (BPts), heart rate variability (HRV), and breathing signals.

Methods: Data were collected from fifteen healthy subjects during three experimental conditions: a spontaneous breathing state (Rest) and two controlled breathing tasks (CBT 1 and CBT 2). EEG recordings were analyzed to compute BPts across the δ, θ, α, β, and γ frequency bands, while HRV and breathing signals were derived from ECG data. Cross-spectrum analysis and Granger causality tests were performed between HRV and BPts. To further investigate directional interactions, Granger-causal relationships were explored between components of the BPts extracted using empirical mode decomposition and the HRV and breathing signals.

Results: Bidirectional Granger-causal relationships were found between neural and autonomic systems, emphasizing the dynamic interaction between the brain and body. Specific BPts components mediated neural-autonomic communication, with one component consistently aligning with the frequency of conscious breathing (~0.05 Hz) during the CBTs. Cross-spectral peaks at this frequency and its harmonics highlight the role of respiratory entrainment in optimizing neuro-autonomic synchronization. Frequency-specific mechanisms observed in both fast and slow components reflect the complex regulation of autonomic functions through cortical modulation. The most prominent causal effects were observed in the γ band, suggesting its pivotal role in dynamic autonomic regulation, potentially acting as a communication pathway between the brain and body.

Discussion: Our results demonstrate that conscious breathing enhances bidirectional cortical-autonomic modulation through frequency-specific dynamic neural mechanisms. These findings support a closed-loop model of physiological regulation driven by neural-respiratory entrainment and suggest that respiration can serve as a top-down mechanism for autonomic control. By clarifying how conscious breathing shapes brain-body dynamics, this work lays the foundation for research on neural self-regulation and supports the development of non-pharmacological interventions for improving mental and physiological health.

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来源期刊
Frontiers in Systems Neuroscience
Frontiers in Systems Neuroscience Neuroscience-Developmental Neuroscience
CiteScore
6.00
自引率
3.30%
发文量
144
审稿时长
14 weeks
期刊介绍: Frontiers in Systems Neuroscience publishes rigorously peer-reviewed research that advances our understanding of whole systems of the brain, including those involved in sensation, movement, learning and memory, attention, reward, decision-making, reasoning, executive functions, and emotions.
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