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大脑中的心肺动力学:关于功能磁共振成像信号中心血管和呼吸相关性意义的综述

Cardiorespiratory dynamics in the brain: Review on the significance of cardiovascular and respiratory correlates in functional MRI signal.

作者信息

Kandimalla Mahathi, Lim Seokbeen, Thakkar Jay, Dewan Sannidhi, Kang Daehun, In Myung-Ho, Jo Hang Joon, Jang Dong Pyo, Nedelska Zuzana, Lapid Maria I, Shu Yunhong, Cogswell Petrice M, Lowe Val J, Lee Jeyeon, Min Hoon-Ki

机构信息

Department of Radiology, Mayo Clinic, Rochester, MN, USA.

Department of Radiology, Jefferson Health, Philadelphia, PA, USA.

出版信息

Neuroimage. 2025 Feb 1;306:121000. doi: 10.1016/j.neuroimage.2024.121000. Epub 2025 Jan 1.

Abstract

Cardiorespiratory signals have long been treated as "noise" in functional magnetic resonance imaging (fMRI) research, with the goal of minimizing their impact to isolate neural activity. However, there is a growing recognition that these signals, once seen as confounding variables, provide valuable insights into brain function and overall health. This shift reflects the dynamic interaction between the cardiovascular, respiratory, and neural systems, which together support brain activity. In this review, we explore the role of cardiorespiratory dynamics-such as heart rate variability (HRV), respiratory sinus arrhythmia (RSA), and changes in blood flow, oxygenation, and carbon dioxide levels-embedded within fMRI signals. These physiological signals reflect critical aspects of neurovascular coupling and are influenced by factors such as physiological stress, breathing patterns, and age-related changes. We also discuss the complexities of distinguishing these signals from neuronal activity in fMRI data, given their significant contribution to signal variability and interactions with cerebrospinal fluid (CSF). Recognizing the influence of these cardiorespiratory dynamics is crucial for improving the interpretation of fMRI data, shedding light on heart-brain and respiratory-brain connections, and enhancing our understanding of circulation, oxygen delivery, and waste elimination within the brain.

摘要

在功能磁共振成像(fMRI)研究中,心肺信号长期以来一直被视为“噪声”,目的是尽量减少它们的影响以分离神经活动。然而,人们越来越认识到,这些曾经被视为混杂变量的信号,能为脑功能和整体健康提供有价值的见解。这种转变反映了心血管、呼吸和神经系统之间的动态相互作用,它们共同支持大脑活动。在这篇综述中,我们探讨了心肺动力学(如心率变异性(HRV)、呼吸性窦性心律不齐(RSA)以及血流、氧合和二氧化碳水平的变化)在fMRI信号中的作用。这些生理信号反映了神经血管耦合的关键方面,并受生理应激、呼吸模式和年龄相关变化等因素影响。我们还讨论了在fMRI数据中区分这些信号与神经元活动的复杂性,因为它们对信号变异性有重大贡献,并与脑脊液(CSF)相互作用。认识到这些心肺动力学的影响对于改进fMRI数据的解释、阐明心脑和呼吸脑连接以及增强我们对大脑内循环、氧气输送和废物清除的理解至关重要。

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