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

被引:53
作者
Lin, Pei-Feng [1 ,2 ]
Lo, Men-Tzung [3 ]
Tsao, Jenho [2 ]
Chang, Yi-Chung [4 ]
Lin, Chen [3 ,5 ]
Ho, Yi-Lwun [6 ,7 ]
机构
[1] Tainan Hosp, Minist Hlth & Welf, Dept Geriatr, Tainan, Taiwan
[2] Natl Taiwan Univ, Grad Inst Biomed Elect & Bioinformat, Taipei 10764, Taiwan
[3] Natl Cent Univ, Res Ctr Adapt Data Anal, Jongli, Taiwan
[4] Natl Taiwan Univ, Grad Inst Commun Engn, Taipei 10764, Taiwan
[5] Natl Cent Univ, Inst Syst Biol & Bioinformat, Jongli, Taiwan
[6] Natl Taiwan Univ, Coll Med, Grad Inst Clin Med, Taipei 10764, Taiwan
[7] Natl Taiwan Univ Hosp, Dept Internal Med, Taipei 100, Taiwan
来源
PLOS ONE | 2014年 / 9卷 / 02期
关键词
HEART-RATE-VARIABILITY; TIME-SERIES ANALYSIS; EMPIRICAL MODE DECOMPOSITION; ALZHEIMERS-DISEASE; PHOTIC-STIMULATION; VASCULAR DEMENTIA; SAMPLE ENTROPY; BLOOD-PRESSURE; PHASE-LOCKING; EEG;
D O I
10.1371/journal.pone.0087798
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
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.
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