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自主神经系统:脉搏的慢节律与大脑静息状态的同步与个性和情绪有关。

An Autonomic Network: Synchrony Between Slow Rhythms of Pulse and Brain Resting State Is Associated with Personality and Emotions.

机构信息

Laboratory of Neuroimaging, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD, USA.

National Institute on Drug Abuse, National Institutes of Health, Bethesda, MD, USA.

出版信息

Cereb Cortex. 2018 Sep 1;28(9):3356-3371. doi: 10.1093/cercor/bhy144.

DOI:10.1093/cercor/bhy144
PMID:29955858
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6095212/
Abstract

The sympathetic system's role in modulating vasculature and its influence on emotions and personality led us to test the hypothesis that interactions between brain resting-state networks (RSNs) and pulse amplitude (indexing sympathetic activity) would be associated with emotions and personality. In 203 participants, we characterized RSN spatiotemporal characteristics, and phase-amplitude associations of RSN fluctuations with pulse and respiratory recordings. We found that RSNs are spatially reproducible within participants and were temporally associated with low frequencies (LFs < 0.1 Hz) in physiological signals. LF fluctuations in pulse amplitude were not related to cardiac electrical activity and preceded LF fluctuations in RSNs, while LF respiratory amplitude fluctuations followed LF fluctuations in RSNs. LF phase dispersion (PD) (lack of synchrony) between RSNs and pulse (PDpulse) (not respiratory) correlated with the common variability in measures of personality and emotions, with more synchrony being associated with more positive temperamental characteristics. Voxel-level PDpulse mapping revealed an "autonomic brain network," including sensory cortices and dorsal attention stream, with significant interactions with peripheral signals. Here, we uncover associations between pulse signal amplitude (presumably of sympathetic origin) and brain resting state, suggesting that interactions between central and autonomic nervous systems are important for characterizing personality and emotions.

摘要

交感神经系统在调节血管系统及其对情绪和个性的影响促使我们检验这样一个假设,即大脑静息态网络(RSN)与脉搏振幅(交感活动指标)之间的相互作用与情绪和个性有关。在 203 名参与者中,我们描述了 RSN 的时空特征,以及 RSN 波动与脉搏和呼吸记录的相位-振幅关联。我们发现,RSN 在参与者之间具有空间可重复性,并且与生理信号中的低频(LFs < 0.1 Hz)有关。脉搏振幅的 LF 波动与心脏电活动无关,并且先于 RSN 中的 LF 波动,而 RSN 中的 LF 呼吸幅度波动则紧随 LF 波动之后。RSN 与脉搏(PDpulse)(而不是呼吸)之间的 LF 相位弥散(PD)(失同步)与人格和情绪的共同可变性相关,同步性越高,气质特征越积极。体素水平的 PDpulse 映射显示出一个“自主神经系统网络”,包括感觉皮层和背侧注意流,与外周信号有显著的相互作用。在这里,我们揭示了脉搏信号振幅(推测为交感起源)与大脑静息状态之间的关联,表明中枢和自主神经系统之间的相互作用对于描述人格和情绪很重要。

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