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Correlations between the Signal Complexity of Cerebral and Cardiac Electrical Activity: A Multiscale Entropy Analysis

机译:脑的信号复杂性与心脏电活动之间的相关性:多尺度熵分析。

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摘要

The heart begins to beat before the brain is formed. Whether conventional hierarchical central commands sent by the brain to the heart alone explain all the interplay between these two organs should be reconsidered. Here, we demonstrate correlations between the signal complexity of brain and cardiac activity. Eighty-seven geriatric outpatients with healthy hearts and varied cognitive abilities each provided a 24-hour electrocardiography (ECG) and a 19-channel eye-closed routine electroencephalography (EEG). Multiscale entropy (MSE) analysis was applied to three epochs (resting-awake state, photic stimulation of fast frequencies (fast-PS), and photic stimulation of slow frequencies (slow-PS)) of EEG in the 1–58 Hz frequency range, and three RR interval (RRI) time series (awake-state, sleep and that concomitant with the EEG) for each subject. The low-to-high frequency power (LF/HF) ratio of RRI was calculated to represent sympatho-vagal balance. With statistics after Bonferroni corrections, we found that: (a) the summed MSE value on coarse scales of the awake RRI (scales 11–20, RRI-MSE-coarse) were inversely correlated with the summed MSE value on coarse scales of the resting-awake EEG (scales 6–20, EEG-MSE-coarse) at Fp2, C4, T6 and T4; (b) the awake RRI-MSE-coarse was inversely correlated with the fast-PS EEG-MSE-coarse at O1, O2 and C4; (c) the sleep RRI-MSE-coarse was inversely correlated with the slow-PS EEG-MSE-coarse at Fp2; (d) the RRI-MSE-coarse and LF/HF ratio of the awake RRI were correlated positively to each other; (e) the EEG-MSE-coarse at F8 was proportional to the cognitive test score; (f) the results conform to the cholinergic hypothesis which states that cognitive impairment causes reduction in vagal cardiac modulation; (g) fast-PS significantly lowered the EEG-MSE-coarse globally. Whether these heart-brain correlations could be fully explained by the central autonomic network is unknown and needs further exploration.
机译:在大脑形成之前,心脏开始跳动。是否应该单独考虑由大脑发送给心脏的常规分层中央命令来解释这两个器官之间的相互作用。在这里,我们证明了大脑信号强度与心脏活动之间的相关性。八十七名心脏健康且认知能力各不相同的老年患者均提供了24小时心电图(ECG)和19通道闭眼常规脑电图(EEG)。多尺度熵(MSE)分析应用于1至58 Hz频率范围内的三个时期(静息清醒状态,快速刺激的光刺激(fast-PS)和慢刺激的光刺激(slow-PS)) ,以及每个受试者的三个RR间隔(RRI)时间序列(清醒状态,睡眠以及与EEG伴随的时间)。计算RRI的低频/高频功率(LF / HF)比,以表示交感迷走神经平衡。通过Bonferroni校正后的统计数据,我们发现:(a)清醒RRI的粗尺度(尺度11–20,RRI-MSE-粗)上的MSE总和与静息的粗尺度的MSE总和成反比。 -在Fp2,C4,T6和T4时清醒脑电图(6-20级,EEG-MSE粗略); (b)清醒的RRI-MSE粗度与O1,O2和C4处的快速PS EEG-MSE粗度呈负相关; (c)在Fp2时,睡眠RRI-MSE-粗略与慢PS EEG-MSE-粗略成反比; (d)清醒的RRI的RRI-MSE-粗略和LF / HF比彼此正相关; (e)F8时的EEG-MSE粗略与认知测试分数成正比; (f)结果符合胆碱能假说,该假说指出认知障碍会导致迷走性心脏调节降低; (g)快速PS显着降低了全球的EEG-MSE粗略水平。这些心脑相关性能否由中央自主神经网络完全解释尚不清楚,需要进一步探索。

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