Bolt Taylor, Wang Shiyu, Nomi Jason S, Setton Roni, Gold Benjamin P, deB Frederick Blaise, Yeo B T Thomas, Chen J Jean, Picchioni Dante, Duyn Jeff H, Spreng R Nathan, Keilholz Shella D, Uddin Lucina Q, Chang Catie
Department of Psychiatry and Biobehavioral Sciences, University of California Los Angeles, Los Angeles, CA, USA.
Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA.
Nat Neurosci. 2025 May 7. doi: 10.1038/s41593-025-01945-y.
The brain is closely attuned to visceral signals from the body's internal environment, as evidenced by the numerous associations between neural, hemodynamic and peripheral physiological signals. Here we show that a major mode of these brain-body cofluctuations can be captured by a single spatiotemporal pattern. Across several independent samples, as well as single-echo and multi-echo functional magnetic resonance imaging (fMRI) data acquisition sequences, we identify widespread cofluctuations in the low-frequency range (0.01-0.1 Hz) between resting-state global fMRI signals, electroencephalogram (EEG) activity, and a host of peripheral autonomic signals spanning cardiovascular, pulmonary, exocrine and smooth muscle systems. The same brain-body cofluctuations observed at rest are elicited by cued deep breathing and intermittent sensory stimuli, as well as spontaneous phasic EEG events during sleep. Furthermore, we show that the spatial structure of global fMRI signals is maintained under experimental suppression of end-tidal carbon dioxide variations, suggesting that respiratory-driven fluctuations in arterial CO accompanying arousal cannot fully explain the origin of these signals in the brain. These findings suggest that the global fMRI signal is a substantial component of the arousal response governed by the autonomic nervous system.
大脑与来自身体内部环境的内脏信号密切协调，神经、血液动力学和外周生理信号之间的众多关联就证明了这一点。在这里，我们表明，这些脑体协同波动的一种主要模式可以通过单一的时空模式来捕捉。在几个独立样本以及单回波和多回波功能磁共振成像（fMRI）数据采集序列中，我们识别出静息态全脑fMRI信号、脑电图（EEG）活动与一系列跨越心血管、肺、外分泌和平滑肌系统的外周自主信号之间在低频范围（0.01-0.1Hz）存在广泛的协同波动。在静息状态下观察到的相同脑体协同波动可由提示性深呼吸和间歇性感觉刺激引发，也可由睡眠期间的自发性相位性EEG事件引发。此外，我们表明，在实验性抑制呼气末二氧化碳变化的情况下，全脑fMRI信号的空间结构得以维持，这表明与觉醒相关的动脉血二氧化碳呼吸驱动波动不能完全解释这些脑内信号的起源。这些发现表明，全脑fMRI信号是自主神经系统控制的觉醒反应的一个重要组成部分。
