Key result
Awake heart rate complexity inversely correlates with resting frontopolar brain activity.
Why the study?
The interplay between brain and heart electrical activity and whether central autonomic network fully explains their correlations remains uncertain.
Cross-Sectional (n=87)
Effect estimate: r = -0.363
p-value: p=0.012
There are significant inverse correlations between the signal complexity of cardiac and cerebral electrical activity in geriatric patients, suggesting complex heart-brain interactions beyond simple hierarchical central commands.
Does not support altering geriatric cardiac or cognitive monitoring; leaves open non-hierarchical brain-heart signal interplay for prospective study.
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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Lin et al. (2014) conducted a cross-sectional in Varied cognitive abilities (dementia and healthy controls) (n=87). Signal complexity of cerebral and cardiac electrical activity was evaluated on Correlation between the summed multiscale entropy (MSE) values on coarse scales of the awake RR interval and the resting-awake EEG (r = -0.363, p=0.012). The signal complexity of awake heart rate variability was significantly inversely correlated with the signal complexity of resting-awake brain activity at the right frontopolar area (r = -0.363, p = 0.012).
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