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双向内在调制的 EEG 波段功率时间序列和心率变异性的谱成分。

Bidirectional intrinsic modulation of EEG band power time series and spectral components of heart rate variability.

机构信息

Universidad Iberoamericana Ciudad de México, Prol. Paseo de la Reforma 880, PO Box 01219, Mexico City, Mexico.

Universidad Iberoamericana Ciudad de México, Prol. Paseo de la Reforma 880, PO Box 01219, Mexico City, Mexico.

出版信息

Auton Neurosci. 2021 May;232:102776. doi: 10.1016/j.autneu.2021.102776. Epub 2021 Feb 20.

Abstract

Some hypotheses relate oscillations of EEG band power with autonomic processes derived from homeostatic control modulated by structures like the Central Autonomic Network and the Autonomic Nervous System. This research project studies the causal relationships between fluctuations of an autonomic process marker like the Heart Rate Variability (HRV) and the proposed EEG band power time series (BPts). To verify the existence of directional causal relationships, using Granger Causality (GC) test between HRV and BPts. Analyses were performed using two databases, of 9 and 14 subjects respectively. Experiments consisted of spontaneous breathing and a controlled breathing task (CBT). GC was tested over Intrinsinc Mode Functions of HRV derived from Empirical Mode Decomposition and BPts computed over α, β and γ bands. Positive GC tests were observed through each experimental task, channels, IMFs, EEG band, and direction. The largest number of positive GC relationships were found from BPts to HRV when testing, higher EEG band and IMF with lower spectral content. Opposite direction achieves lower total counts, but more related with IMFs of higher spectral content. Its presence also suggests that some homeostatic condition alters the BPts course given its increment under the CBT. It is important to notice that in both cases γ band achieves larger values for almost all of the studied conditions. Suggesting that such band has an important influence over HRV, but alterations on breathing condition also produce changes on BPts evolution, suggesting that the closed loop for homeostatic control alters neural dynamics at cortical level.

摘要

一些假说将脑电图(EEG)频带功率的波动与自主过程联系起来,这些自主过程源于由中央自主网络和自主神经系统等结构调节的稳态控制。本研究项目旨在研究自主过程标志物(如心率变异性(HRV))的波动与所提出的 EEG 频带功率时间序列(BPts)之间的因果关系。为了验证方向因果关系的存在,使用 HRV 和 BPts 之间的格兰杰因果关系(GC)检验。分析分别使用两个数据库进行,分别包含 9 名和 14 名受试者。实验包括自发性呼吸和受控呼吸任务(CBT)。GC 在 HRV 的固有模式函数(基于经验模态分解)和 BPts 上进行了测试,后者计算自 α、β 和 γ 频带。通过每个实验任务、通道、IMF、EEG 频带和方向,都观察到了阳性 GC 测试。在测试时,当测试更高的 EEG 频带和 IMF 且具有更低的谱内容时,从 BPts 到 HRV 的 GC 测试结果为阳性。相反的方向获得的总计数较低,但与具有更高谱内容的 IMF 更相关。其存在还表明,某些稳态条件会改变 BPts 的过程,因为在 CBT 下它会增加。值得注意的是,在这两种情况下,γ 频带几乎在所有研究条件下都能达到较大的值。这表明该频带对 HRV 有重要影响,但呼吸条件的改变也会导致 BPts 演变的变化,这表明稳态控制的闭环会改变皮质水平的神经动力学。

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