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    Please use this identifier to cite or link to this item: https://ir.lib.ncu.edu.tw/handle/987654321/102715


    Title: Correlations between the signal complexity of cerebral and cardiac electrical activity: A multiscale entropy analysis
    Authors: 林澂;Lin, Pei-Feng;Lo, Men-Tzung;Tsao, Jenho;Chang, Yi-Chung;Lin, Chen;Ho, Yi-Lwun
    Contributors: 生醫理工學院生醫科學與工程學系
    Keywords: Age;Aged;Aged, 80 and over;Aging;Aging - physiology;Alzheimer's disease;Alzheimers disease;Bioinformatics;Brain;Brain - physiology;Brain research;Cardiology;Cognition - physiology;Cognitive ability;Cognitive impairment;Commands;Complexity;Correlation;Data analysis;Dementia;EEG;EKG;Electrocardiography;Electroencephalography;Electroencephalography - methods;Engineering;Entropy;Eye movements;Fasting - physiology;Female;Geriatrics;Heart;Heart - physiology;Heart diseases;Heart rate;Humans;Hypertension;Illiteracy;Male;Mathematics;Measurement techniques;Medicine;Multiscale analysis;Nervous system;Organs;Photic Stimulation;Rest - physiology;Signal processing;Sleep;Statistical analysis;Stimulation;Time series;Vagus nerve;Wakefulness - physiology
    Date: 2014-02-03
    Issue Date: 2026-04-23 11:15:28 (UTC+8)
    Publisher: Public Library of Science;United States: Public Library of Science (PLoS)
    Abstract: 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.
    其他題名: PLoS One
    出版者: United States: Public Library of Science (PLoS)
    出版日期: 2014-02-03
    出處: PLoS ONE, 2014-02, Vol.9 (2), p.e87798-
    資源來源: Publicly Available Content Database (Proquest)
    版權: COPYRIGHT 2014 Public Library of Science
    版權: 2014 Lin et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
    版權: 2014 Lin et al 2014 Lin et al
    識別號: ISSN: 1932-6203
    識別號: EISSN: 1932-6203
    識別號: DOI: 10.1371/journal.pone.0087798
    識別號: PMID: 24498375
    Appears in Collections:[Department of Biomedical Sciences and Engineering ] journal & Dissertation

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