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血氧水平依赖性功能磁共振成像信号的生理成分:年龄及心率变异性生物反馈训练的影响

The physiological component of the BOLD signal: Impact of age and heart rate variability biofeedback training.

作者信息

Song Richard, Min Jungwon, Wang Shiyu, Goodale Sarah E, Rogge-Obando Kimberly, Yang Ruoqi, Yoo Hyun Joo, Nashiro Kaoru, Chen Jingyuan E, Mather Mara, Chang Catie

机构信息

Department of Computer Science, Vanderbilt University, Nashville, TN, USA.

Program in Neuroscience, Vanderbilt University, Nashville, TN, USA.

出版信息

Imaging Neurosci (Camb). 2025 Aug 7;3. doi: 10.1162/IMAG.a.99. eCollection 2025.

Abstract

Aging is associated with declines in autonomic nervous system (ANS) function, impaired neurovascular coupling, and diminished cerebrovascular responsiveness-factors that may contribute to cognitive decline and neurodegenerative diseases. Understanding how aging alters the integration of physiological signals in the brain is crucial for identifying potential interventions to promote brain health. This study examines age-related differences in coupling between low-frequency cardiac rate and respiratory volume fluctuations and the blood oxygenation level-dependent (BOLD) signal, using two independent resting-state fMRI datasets with concurrent physiological recordings from younger and older adults. Our findings reveal significant age-related reductions in the percent variance of the BOLD signal explained by heart rate (HR), respiratory variation (RV), and end-tidal CO, particularly in regions involved in autonomic regulation, including the orbitofrontal cortex, anterior cingulate cortex, insula, basal ganglia, and white matter. Cross-correlation analysis also revealed that younger adults exhibited stronger HR-BOLD coupling in white matter, as well as a more rapid BOLD response to RV and CO in gray matter. Additionally, we investigated the effects of heart rate variability biofeedback (HRV-BF) training, a non-invasive intervention designed to modulate heart rate oscillations. The intervention modulated physiological-BOLD coupling in a manner dependent on both age and training condition: older adults who underwent HRV-BF to enhance HR oscillations exhibited a shift toward younger-like HR-BOLD coupling patterns. These findings suggest that HRV-BF may help mitigate age-related declines in autonomic or cerebrovascular function. Overall, this study underscores the role of physiological dynamics in brain aging and highlights the importance of considering autonomic function when interpreting BOLD signals. By demonstrating that HRV-BF can modulate physiological-BOLD interactions, our findings suggest a potential pathway for enhancing cerebrovascular function and preserving brain health across the lifespan.

摘要

衰老与自主神经系统(ANS)功能下降、神经血管耦合受损以及脑血管反应性降低有关,这些因素可能导致认知能力下降和神经退行性疾病。了解衰老如何改变大脑中生理信号的整合对于确定促进大脑健康的潜在干预措施至关重要。本研究使用两个独立的静息态功能磁共振成像(fMRI)数据集,同时记录了年轻人和老年人的生理数据,研究了低频心率与呼吸量波动以及血氧水平依赖(BOLD)信号之间耦合的年龄相关差异。我们的研究结果显示,由心率(HR)、呼吸变化(RV)和呼气末二氧化碳(CO)解释的BOLD信号方差百分比存在显著的年龄相关降低,特别是在参与自主调节的区域,包括眶额皮质、前扣带回皮质、岛叶、基底神经节和白质。交叉相关分析还显示,年轻人在白质中表现出更强的HR-BOLD耦合,以及在灰质中对RV和CO的BOLD反应更快。此外,我们研究了心率变异性生物反馈(HRV-BF)训练的效果,这是一种旨在调节心率振荡的非侵入性干预措施。该干预以一种依赖于年龄和训练条件的方式调节生理-BOLD耦合:接受HRV-BF以增强心率振荡的老年人表现出向更年轻样的HR-BOLD耦合模式转变。这些发现表明,HRV-BF可能有助于减轻与年龄相关的自主或脑血管功能下降。总体而言,本研究强调了生理动力学在大脑衰老中的作用,并突出了在解释BOLD信号时考虑自主功能的重要性。通过证明HRV-BF可以调节生理-BOLD相互作用,我们的研究结果提示了一条在整个生命周期中增强脑血管功能和保持大脑健康的潜在途径。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b0ca/12336062/b24b49502d27/IMAG.a.99_fig1.jpg

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