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Qin H, Fietze I, Mazzotti DR, Steenbergen N, Kraemer JF, Glos M, Wessel N, Song L, Penzel T, Zhang X. Obstructive sleep apnea heterogeneity and autonomic function: a role for heart rate variability in therapy selection and efficacy monitoring. J Sleep Res 2024; 33:e14020. [PMID: 37709966 DOI: 10.1111/jsr.14020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2023] [Revised: 07/23/2023] [Accepted: 08/03/2023] [Indexed: 09/16/2023]
Abstract
Obstructive sleep apnea is a highly prevalent sleep-related breathing disorder, resulting in a disturbed breathing pattern, changes in blood gases, abnormal autonomic regulation, metabolic fluctuation, poor neurocognitive performance, and increased cardiovascular risk. With broad inter-individual differences recognised in risk factors, clinical symptoms, gene expression, physiological characteristics, and health outcomes, various obstructive sleep apnea subtypes have been identified. Therapeutic efficacy and its impact on outcomes, particularly for cardiovascular consequences, may also vary depending on these features in obstructive sleep apnea. A number of interventions such as positive airway pressure therapies, oral appliance, surgical treatment, and pharmaceutical options are available in clinical practice. Selecting an effective obstructive sleep apnea treatment and therapy is a challenging medical decision due to obstructive sleep apnea heterogeneity and numerous treatment modalities. Thus, an objective marker for clinical evaluation is warranted to estimate the treatment response in patients with obstructive sleep apnea. Currently, while the Apnea-Hypopnea Index is used for severity assessment of obstructive sleep apnea and still considered a major guide to diagnosis and managements of obstructive sleep apnea, the Apnea-Hypopnea Index is not a robust marker of symptoms, function, or outcome improvement. Abnormal cardiac autonomic modulation can provide additional insight to better understand obstructive sleep apnea phenotyping. Heart rate variability is a reliable neurocardiac tool to assess altered autonomic function and can also provide cardiovascular information in obstructive sleep apnea. Beyond the Apnea-Hypopnea Index, this review aims to discuss the role of heart rate variability as an indicator and predictor of therapeutic efficacy to different modalities in order to optimise tailored treatment for obstructive sleep apnea.
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Affiliation(s)
- Hua Qin
- Department of Otolaryngology, Head and Neck Surgery, State Key Laboratory of Respiratory Disease, The Key Laboratory of Advanced Interdisciplinary Studies Center, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
- Interdisciplinary Center of Sleep Medicine, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Ingo Fietze
- Interdisciplinary Center of Sleep Medicine, Charité-Universitätsmedizin Berlin, Berlin, Germany
- The Fourth People's Hospital of Guangyuan, Guangyuan, China
| | - Diego R Mazzotti
- Division of Medical Informatics, Department of Internal Medicine, University of Kansas Medical Center, Kansas City, Kansas, USA
- Division of Pulmonary Critical Care and Sleep Medicine, Department of Internal Medicine, University of Kansas Medical Center, Kansas City, Kansas, USA
| | | | - Jan F Kraemer
- Department of Physics, Humboldt-Universität zu Berlin, Berlin, Germany
- Information Processing and Analytics Group, School of Library and Information Science, Humboldt-Universität zu Berlin, Berlin, Germany
| | - Martin Glos
- Interdisciplinary Center of Sleep Medicine, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Niels Wessel
- Department of Physics, Humboldt-Universität zu Berlin, Berlin, Germany
- Department of Medicine, Medical School Berlin, Berlin, Germany
| | - Lijun Song
- Department of Otolaryngology, Head and Neck Surgery, State Key Laboratory of Respiratory Disease, The Key Laboratory of Advanced Interdisciplinary Studies Center, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Thomas Penzel
- Interdisciplinary Center of Sleep Medicine, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Xiaowen Zhang
- Department of Otolaryngology, Head and Neck Surgery, State Key Laboratory of Respiratory Disease, The Key Laboratory of Advanced Interdisciplinary Studies Center, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
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Shin JH, Song MJ, Kim JH. Acute Effect of Positive Airway Pressure on Heart Rate Variability in Obstructive Sleep Apnea. J Clin Med 2023; 12:7606. [PMID: 38137675 PMCID: PMC10743594 DOI: 10.3390/jcm12247606] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2023] [Revised: 12/03/2023] [Accepted: 12/07/2023] [Indexed: 12/24/2023] Open
Abstract
Autonomic dysregulation is associated with cardiovascular consequences in obstructive sleep apnea (OSA). This study aimed to investigate the effect of acute continuous positive airway pressure (CPAP) treatment on autonomic activity and to identify factors contributing to heart rate variability (HRV) changes in OSA. Frequency domain HRV parameters were calculated and compared between the baseline polysomnography and during the CPAP titration in 402 patients with moderate to severe OSA. There were significant reductions in total power, very low-frequency band power, low-frequency band power, and high-frequency band power during the CPAP titration as compared to the baseline polysomnography. This tendency was pronounced in male patients with severe OSA. Multivariate analysis found that changes in the apnea-hypopnea index and oxygen saturation were significantly associated with changes in sympathetic and parasympathetic activity, respectively. This study demonstrated that HRV parameters significantly changed during the CPAP titration, indicating a beneficial effect of CPAP in the restoration of sympathetic and parasympathetic hyperactivity in OSA. Prospective longitudinal studies should determine whether long-term CPAP treatment aids in maintaining the long-lasting improvement of the autonomic functions, thereby contributing to the prevention of cardiovascular and cerebrovascular diseases in patients with OSA.
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Affiliation(s)
| | | | - Ji Hyun Kim
- Department of Neurology, Korea University Guro Hospital, Korea University College of Medicine, Seoul 08308, Republic of Korea; (J.H.S.); (M.J.S.)
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Wang Z, Jiang F, Xiao J, Chen L, Zhang Y, Li J, Yi Y, Min W, Su L, Liu X, Zou Z. Heart rate variability changes in patients with obstructive sleep apnea: A systematic review and meta-analysis. J Sleep Res 2023; 32:e13708. [PMID: 36070876 DOI: 10.1111/jsr.13708] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2022] [Revised: 06/25/2022] [Accepted: 07/07/2022] [Indexed: 02/03/2023]
Abstract
Obstructive sleep apnea is a common sleep breathing disorder related to autonomic nervous function disturbances. Heart rate variability is an important non-invasive indicator of autonomic nervous system function. The PubMed, Embase, Medline and Web of Science databases were systematically searched for English literature comparing patients with obstructive sleep apnea with controls up to May 2021. Heart rate variability outcomes, including integrated indices (parasympathetic function and total variability), time domain indices (the standard deviation of NN intervals and the root mean square of the successive differences between normal heartbeats) and frequency domain indices (high-frequency, low-frequency, very-low-frequency and the ratio of low-frequency to high-frequency) were derived from the studies. Twenty-two studies that included 2565 patients with obstructive sleep apnea and 1089 healthy controls were included. Compared with controls, patients with obstructive sleep apnea exhibited significantly reduced parasympathetic function. For the obstructive sleep apnea severity subgroup meta-analysis, patients with severe obstructive sleep apnea had significantly lower parasympathetic function, high-frequency, root mean square of the successive differences between normal heartbeats and standard deviation of NN intervals, and higher low-frequency and ratios of low-frequency to high-frequency. However, only the ratio of low-frequency to high-frequency was significantly higher in patients with moderate obstructive sleep apnea than in controls. Finally, for the collection time analysis, patients with obstructive sleep apnea had significantly higher low-frequency and ratio of low-frequency to high-frequency at night, significantly lower parasympathetic function, high-frequency, root mean square of the successive differences between normal heartbeats and standard deviation of NN intervals, and a higher ratio of low-frequency to high-frequency during the day than controls. Autonomic function impairment was more serious in patients with severe obstructive sleep apnea. During sleep, low-frequency can well reflect the impairment of autonomic function in obstructive sleep apnea, and the ratio of low-frequency to high-frequency may play an important role in obstructive sleep apnea diagnosis.
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Affiliation(s)
- Zuxing Wang
- Sichuan Provincial Center for Mental Health, Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital, Chengdu, China.,Key Laboratory of Psychosomatic Medicine, Chinese Academy of Medical Sciences, Chengdu, China
| | - Fugui Jiang
- Sichuan Provincial Center for Mental Health, Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital, Chengdu, China.,Key Laboratory of Psychosomatic Medicine, Chinese Academy of Medical Sciences, Chengdu, China
| | - Jun Xiao
- Sichuan Provincial Center for Mental Health, Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital, Chengdu, China.,Key Laboratory of Psychosomatic Medicine, Chinese Academy of Medical Sciences, Chengdu, China
| | - Lili Chen
- Sichuan Provincial Center for Mental Health, Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital, Chengdu, China.,Key Laboratory of Psychosomatic Medicine, Chinese Academy of Medical Sciences, Chengdu, China
| | - Yuan Zhang
- Personalized Drug Therapy Key Laboratory of Sichuan Province, Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital, Chengdu, China
| | - Jieying Li
- Sichuan Provincial Center for Mental Health, Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital, Chengdu, China.,Key Laboratory of Psychosomatic Medicine, Chinese Academy of Medical Sciences, Chengdu, China
| | - Yang Yi
- Sichuan Provincial Center for Mental Health, Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital, Chengdu, China.,Key Laboratory of Psychosomatic Medicine, Chinese Academy of Medical Sciences, Chengdu, China
| | - Wenjiao Min
- Sichuan Provincial Center for Mental Health, Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital, Chengdu, China.,Key Laboratory of Psychosomatic Medicine, Chinese Academy of Medical Sciences, Chengdu, China
| | - Liuhui Su
- Sichuan Provincial Center for Mental Health, Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital, Chengdu, China.,Key Laboratory of Psychosomatic Medicine, Chinese Academy of Medical Sciences, Chengdu, China
| | - Xuemei Liu
- Sichuan Provincial Center for Mental Health, Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital, Chengdu, China.,Key Laboratory of Psychosomatic Medicine, Chinese Academy of Medical Sciences, Chengdu, China
| | - Zhili Zou
- Sichuan Provincial Center for Mental Health, Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital, Chengdu, China.,Key Laboratory of Psychosomatic Medicine, Chinese Academy of Medical Sciences, Chengdu, China
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Dissanayake HU, Bin YS, Sutherland K, Ucak S, de Chazal P, Cistulli PA. The effect of obstructive sleep apnea therapy on cardiovascular autonomic function: a systematic review and meta-analysis. Sleep 2022; 45:6700716. [PMID: 36107126 PMCID: PMC9742902 DOI: 10.1093/sleep/zsac210] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2022] [Revised: 07/01/2022] [Indexed: 12/15/2022] Open
Abstract
STUDY OBJECTIVES Autonomic function is impaired in obstructive sleep apnea (OSA) and may mediate the association between OSA and cardiovascular risk. We investigated the effect of OSA therapy on autonomic function through a systematic review and meta-analysis of intervention studies. METHODS A systematic search using three databases (Medline, Embase, and Scopus) was performed up to December 9, 2020. Studies of OSA patients ≥ 18 years with autonomic function assessed before and after treatment with positive airway pressure, oral appliance, positional therapy, weight loss, or surgical intervention were included for review. Random effects meta-analysis was carried out for five groups of autonomic function indices. Risk of bias was assessed using the Cochrane Collaboration tool. RESULTS Forty-three eligible studies were reviewed with 39 included in the meta-analysis. OSA treatment led to large decreases in muscle sympathetic nerve activity (Hedges' g = -1.08; 95% CI -1.50, -0.65, n = 8) and moderate decreases in catecholamines (-0.60; -0.94, -0.27, n = 3) and radio nucleotide imaging (-0.61; -0.99, -0.24, n = 2). OSA therapy had no significant effect on baroreflex function (Hedges' g = 0.15; 95% CI -0.09, 0.39, n = 6) or heart rate variability (0.02; -0.32, 0.36, n = 14). There was a significant risk of bias due to studies being primarily non-randomized trials. CONCLUSIONS OSA therapy selectively improves autonomic function measures. The strongest evidence for the effect of OSA therapy on autonomic function was seen in reduced sympathetic activity as assessed by microneurography, but without increased improvement in parasympathetic function. OSA therapy may reduce the risk of cardiovascular disease in OSA through reduced sympathetic activity.
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Affiliation(s)
- Hasthi U Dissanayake
- Corresponding author. Hasthi Dissanayake, 3E67 Sleep Research Group, D17 Charles Perkins Centre, University of Sydney NSW 2006, Australia.
| | - Yu Sun Bin
- Sleep Research Group, Charles Perkins Centre, University of Sydney, Australia,Northern Clinical School, Faculty of Medicine and Health, University of Sydney, Australia
| | - Kate Sutherland
- Sleep Research Group, Charles Perkins Centre, University of Sydney, Australia,Northern Clinical School, Faculty of Medicine and Health, University of Sydney, Australia,Centre for Sleep Health and Research, Department of Respiratory Medicine, Royal North Shore Hospital, Australia
| | - Seren Ucak
- Sleep Research Group, Charles Perkins Centre, University of Sydney, Australia,Northern Clinical School, Faculty of Medicine and Health, University of Sydney, Australia
| | - Philip de Chazal
- Sleep Research Group, Charles Perkins Centre, University of Sydney, Australia,School of Biomedical Engineering, University of Sydney, Sydney, NSW, 2006, Australia
| | - Peter A Cistulli
- Sleep Research Group, Charles Perkins Centre, University of Sydney, Australia,Northern Clinical School, Faculty of Medicine and Health, University of Sydney, Australia,Centre for Sleep Health and Research, Department of Respiratory Medicine, Royal North Shore Hospital, Australia
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Xu L, Li Q, Ke Y, Yung WH. Chronic Intermittent Hypoxia-Induced Aberrant Neural Activities in the Hippocampus of Male Rats Revealed by Long-Term in vivo Recording. Front Cell Neurosci 2022; 15:784045. [PMID: 35126057 PMCID: PMC8813782 DOI: 10.3389/fncel.2021.784045] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2021] [Accepted: 12/13/2021] [Indexed: 11/13/2022] Open
Abstract
Chronic intermittent hypoxia (CIH) occurs in obstructive sleep apnea (OSA), a common sleep-disordered breathing associated with malfunctions in multiple organs including the brain. How OSA-associated CIH impacts on brain activities and functions leading to neurocognitive impairment is virtually unknown. Here, by means of in vivo electrophysiological recordings via chronically implanted multi-electrode arrays in male rat model of OSA, we found that both putative pyramidal neurons and putative interneurons in the hippocampal CA1 subfield were hyper-excitable during the first week of CIH treatment and followed by progressive suppression of neural firing in the longer term. Partial recovery of the neuronal activities was found after normoxia treatment but only in putative pyramidal neurons. These findings correlated well to abnormalities in dendritic spine morphogenesis of these neurons. The results reveal that hippocampal neurons respond to CIH in a complex biphasic and bidirectional manner eventually leading to suppression of firing activities. Importantly, these changes are attributed to a larger extent to impaired functions of putative interneurons than putative pyramidal neurons. Our findings therefore revealed functional and structural damages in central neurons in OSA subjects.
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Affiliation(s)
- Linhao Xu
- School of Biomedical Sciences, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, Hong Kong SAR, China
- Department of Cardiology, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Qian Li
- School of Biomedical Sciences, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, Hong Kong SAR, China
| | - Ya Ke
- School of Biomedical Sciences, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, Hong Kong SAR, China
- Gerald Choa Neuroscience Centre, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, Hong Kong SAR, China
- *Correspondence: Wing-Ho Yung
| | - Wing-Ho Yung
- School of Biomedical Sciences, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, Hong Kong SAR, China
- Gerald Choa Neuroscience Centre, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, Hong Kong SAR, China
- Ya Ke
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ECG and Heart Rate Variability in Sleep-Related Breathing Disorders. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2022; 1384:159-183. [PMID: 36217084 DOI: 10.1007/978-3-031-06413-5_10] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
Here we discuss the current perspectives of comprehensive heart rate variability (HRV) analysis in electrocardiogram (ECG) signals as a non-invasive and reliable measure to assess autonomic function in sleep-related breathing disorders (SDB). It is a tool of increasing interest as different facets of HRV can be implemented to screen and diagnose SDB, monitor treatment efficacy, and prognose adverse cardiovascular outcomes in patients with sleep apnea. In this context, the technical aspects, pathophysiological features, and clinical applications of HRV are discussed to explore its usefulness in better understanding SDB.
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Dissanayake HU, Bin YS, Ucak S, de Chazal P, Sutherland K, Cistulli PA. Association between autonomic function and obstructive sleep apnea: A systematic review. Sleep Med Rev 2021; 57:101470. [PMID: 33839505 DOI: 10.1016/j.smrv.2021.101470] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2020] [Revised: 01/31/2021] [Accepted: 02/14/2021] [Indexed: 12/18/2022]
Abstract
Obstructive sleep apnea (OSA) is an independent risk factor for hypertension and cardiovascular disease. Effects of OSA on the autonomic nervous system may mediate this association. We performed a systematic literature review to determine the profile of autonomic function associated with OSA. Three electronic databases were searched for studies of OSA patients aged ≥18 years in which autonomic function was assessed. Studies comparing patients with and without OSA, or examining the association of OSA severity with changes in autonomic function were included. Seventy-one studies met the inclusion criteria and autonomic function has been assessed using a range of techniques. The profile of autonomic function found in OSA include increased sympathetic activity, reduced parasympathetic activity and less consistently found low heart rate variability. Altered autonomic function in OSA may explain the pathophysiology of increased cardiovascular risk. Evidence from intervention studies is required to determine if treatment improves autonomic function associated with OSA.
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Affiliation(s)
- Hasthi U Dissanayake
- Sleep Research Group, Charles Perkins Centre, The University of Sydney, Australia; Northern Clinical School, Faculty of Medicine and Health, The University of Sydney, Australia.
| | - Yu S Bin
- Sleep Research Group, Charles Perkins Centre, The University of Sydney, Australia; Northern Clinical School, Faculty of Medicine and Health, The University of Sydney, Australia
| | - Seren Ucak
- Sleep Research Group, Charles Perkins Centre, The University of Sydney, Australia; Northern Clinical School, Faculty of Medicine and Health, The University of Sydney, Australia
| | - Philip de Chazal
- Sleep Research Group, Charles Perkins Centre, The University of Sydney, Australia; School of Biomedical Engineering, University of Sydney, Sydney, NSW, 2006, Australia
| | - Kate Sutherland
- Sleep Research Group, Charles Perkins Centre, The University of Sydney, Australia; Northern Clinical School, Faculty of Medicine and Health, The University of Sydney, Australia; Centre for Sleep Health & Research, Department of Respiratory Medicine, Royal North Shore Hospital, Australia
| | - Peter A Cistulli
- Sleep Research Group, Charles Perkins Centre, The University of Sydney, Australia; Northern Clinical School, Faculty of Medicine and Health, The University of Sydney, Australia; Centre for Sleep Health & Research, Department of Respiratory Medicine, Royal North Shore Hospital, Australia
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Ucak S, Dissanayake HU, Sutherland K, de Chazal P, Cistulli PA. Heart rate variability and obstructive sleep apnea: Current perspectives and novel technologies. J Sleep Res 2021; 30:e13274. [PMID: 33462936 DOI: 10.1111/jsr.13274] [Citation(s) in RCA: 33] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2020] [Revised: 12/15/2020] [Accepted: 12/17/2020] [Indexed: 12/20/2022]
Abstract
Obstructive sleep apnea (OSA) is a highly prevalent condition, resulting in recurrent hypoxic events, sleep arousal, and daytime sleepiness. Patients with OSA are at an increased risk of cardiovascular morbidity and mortality. The mechanisms underlying the development of cardiovascular disease in OSA are multifactorial and cause a cascade of events. The primary contributing factor is sympathetic overactivity. Heart rate variability (HRV) can be used to evaluate shifts in the autonomic nervous system, during sleep and in response to treatment in patients with OSA. Newer technologies are aimed at improving HRV analysis to accelerate processing time, improve the diagnosis of OSA, and detection of cardiovascular risk. The present review will present contemporary understandings and uses for HRV, specifically in the realms of physiology, technology, and clinical management.
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Affiliation(s)
- Seren Ucak
- Faculty of Medicine and Health, Charles Perkins Centre, University of Sydney, Sydney, NSW, Australia
| | - Hasthi U Dissanayake
- Faculty of Medicine and Health, Charles Perkins Centre, University of Sydney, Sydney, NSW, Australia
| | - Kate Sutherland
- Faculty of Medicine and Health, Charles Perkins Centre, University of Sydney, Sydney, NSW, Australia.,Department of Respiratory and Sleep Medicine, Royal North Shore Hospital, Sydney, NSW, Australia
| | - Philip de Chazal
- Faculty of Engineering, School of Biomedical Engineering, Charles Perkins Centre, University of Sydney, Sydney, NSW, Australia
| | - Peter A Cistulli
- Faculty of Medicine and Health, Charles Perkins Centre, University of Sydney, Sydney, NSW, Australia.,Department of Respiratory and Sleep Medicine, Royal North Shore Hospital, Sydney, NSW, Australia
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Montero-Nava JE, Pliego-Carrillo AC, Ledesma-Ramírez CI, Peña-Castillo MÁ, Echeverría JC, Pacheco-López G, Reyes-Lagos JJ. Analysis of the fetal cardio-electrohysterographic coupling at the third trimester of gestation in healthy women by Bivariate Phase-Rectified Signal Averaging. PLoS One 2020; 15:e0236123. [PMID: 32649719 PMCID: PMC7351174 DOI: 10.1371/journal.pone.0236123] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2020] [Accepted: 06/29/2020] [Indexed: 11/18/2022] Open
Abstract
INTRODUCTION The fetal cardio-electrohysterographic coupling (FCEC) is defined as the influence of the uterine electrical activity on fetal heart rate. FCEC has been mainly evaluated by visual analysis of cardiotocographic data during labor; however, this physiological phenomenon is poorly explored during the antenatal period. Here we propose an approach known as Bivariate Phase-Rectified Signal Averaging analysis (BPRSA) to assess such FCEC in the late third trimester of low-risk pregnancies. We hypothesized that BPRSA is a more reliable measure of FCEC than visual analysis and conventional measures such as cross-correlation, coherence, and cross-sample entropy. Additionally, by using BPRSA it is possible to detect FCEC even from the third trimester of pregnancy. MATERIAL AND METHODS Healthy pregnant women in the last third trimester of pregnancy (36.6 ± 1.8 gestational weeks) without any clinical manifestation of labor were enrolled in the Maternal and Childhood Research Center (CIMIGen), Mexico City (n = 37). Ten minutes of maternal electrohysterogram (EHG) and fetal heart rate (FHR) data were collected by a transabdominal non-invasive device. The FCEC was quantified by the coefficient of coherence, the maximum normalized cross-correlation, and the cross-sample entropy obtained either from the EHG and FHR raw signals or from the corresponding BPRSA graphs. RESULTS We found that by using BPRSA, the FCEC was detected in 92% cases (34/37) compared to 48% cases (18/37) using the coefficient of coherence between the EHG and FHR raw signals. Also, BPRSA indicated FCEC in 82% cases (30/37) compared to 30% cases (11/37) using the maximum normalized cross-correlation. By comparing the analyses, the BPRSA evidenced higher FCEC in comparison to the coupling estimated from the raw EHG and FHR signals. CONCLUSIONS Our results support the consideration that in the third trimester of pregnancy, the fetal heart rate is also influenced by uterine activity despite the emerging manifestation of this activity before labor. To quantify FCEC, the BPRSA can be applied to FHR and EHG transabdominal signals acquired in the third trimester of pregnancy.
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Affiliation(s)
| | | | | | - Miguel Ángel Peña-Castillo
- Metropolitan Autonomous University (UAM), Campus Iztapalapa, Basic Sciences and Engineering Division, Mexico City, Mexico
| | - Juan Carlos Echeverría
- Metropolitan Autonomous University (UAM), Campus Iztapalapa, Basic Sciences and Engineering Division, Mexico City, Mexico
| | - Gustavo Pacheco-López
- Metropolitan Autonomous University (UAM), Campus Lerma, Biological and Health Sciences Division, Lerma, Mexico
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de Chazal P, Sutherland K, Cistulli PA. Advanced polysomnographic analysis for OSA: A pathway to personalized management? Respirology 2019; 25:251-258. [PMID: 31038827 DOI: 10.1111/resp.13564] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2019] [Accepted: 03/11/2019] [Indexed: 12/15/2022]
Abstract
Obstructive sleep apnea (OSA) is a highly heterogeneous disorder, with diverse pathways to disease, expression of disease, susceptibility to co-morbidities and response to therapy, and is ideally suited to precision medicine approaches. Clinically, the content of the information-rich polysomnogram (PSG) is not currently fully utilized in determining patient management. Novel PSG parameters such as hypoxic burden, pulse transit time, cardiopulmonary coupling and the frequency representations of PSG sensor signals could predict a variety of cardiovascular disease, cancer and neurodegeneration co-morbidities. The PSG can also be used to identify key pathophysiological parameters such as loop gain, arousal threshold and muscle compensation which can enhance understanding of the causes of OSA in an individual, and thereby guide choices on therapy. Machine learning methods performing their own parameter extraction coupled with large PSG data sets offer an exciting opportunity for discovering new links between the PSG variables and disease outcomes. By exploiting existing and emerging analytical methods, the PSG may offer a pathway to personalized management for OSA.
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Affiliation(s)
- Philip de Chazal
- Charles Perkins Centre, Faculty of Engineering and I.T., University of Sydney, Sydney, NSW, Australia
| | - Kate Sutherland
- Charles Perkins Centre and Northern Clinical School, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia
| | - Peter A Cistulli
- Charles Perkins Centre and Northern Clinical School, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia
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Zhao L, Yang L, Su Z, Liu C. Cardiorespiratory Coupling Analysis Based on Entropy and Cross-Entropy in Distinguishing Different Depression Stages. Front Physiol 2019; 10:359. [PMID: 30984033 PMCID: PMC6449862 DOI: 10.3389/fphys.2019.00359] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2018] [Accepted: 03/14/2019] [Indexed: 12/15/2022] Open
Abstract
Aims This study used entropy- and cross entropy-based methods to explore the cardiorespiratory coupling of depressive patients, and thus to assess the values of those entropy methods for identifying depression patients with different disease severities. Methods Electrocardiogram (ECG) and respiration signals from 69 depression patients were recorded simultaneously for 5 min. Patients were classified into three groups according to the Hamilton Depression Rating Scale (HDRS) scores: group Non-De (HDRS 0–7), Mid-De (HDRS 8–17), and Con-De (HDRS >17). Sample entropy (SEn), fuzzy measure entropy (FMEn) and high-frequency power (HF) were computed on the original RR interval time series and breath-to-breath interval time series. Cross sample entropy (CSEn) and cross fuzzy measure entropy (CFMEn) were computed on interval time series resampled at 2 Hz and 4 Hz, respectively. The difference among three patient groups and correlation between entropy values and HDRS scores were analyzed by statistical analysis. Surrogate data were also employed to confirm the validation of entropy measures in this study. Results A consistent increasing trend has been found among most entropy measures from Non-De, to Mid-De, and to Con-De groups, and a significant (p < 0.05) difference in FMEn of RR intervals exists between Non-De and Mid-De or Con-De groups. Significant differences have been also found in all cross entropies, between Non-De and Con-De groups and between Mid-De and Con-De groups. Furthermore, significant correlations also exist between HDRS scores and FMEn of RR intervals (R = 0.24, p < 0.05), CSEn at 4 Hz (R = 0.26, p < 0.05) or 2 Hz (R = 0.28, p < 0.05) resampling, and CFMEn at 4 Hz (R = 0.31, p < 0.01) or 2 Hz (R = 0.30, p < 0.05) resampling. A significant difference of cardiorespiratory coupling parameters between different depression stages and significant correlations between entropy measures and depression severity both indicate central autonomic dysregulation in depression patients and reflect varying degrees of vagal modulation reduction among different depression levels. Analysis based on surrogate data confirms that the non-linear properties of the physiological signals played a major role in depression recognition. Conclusion The current study demonstrates the potential of cardiorespiratory coupling in the auxiliary diagnosis of depression based on the entropy method.
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Affiliation(s)
- Lulu Zhao
- School of Control Science and Engineering, Shandong University, Jinan, China
| | - Licai Yang
- School of Control Science and Engineering, Shandong University, Jinan, China
| | - Zhonghua Su
- Second Affiliated Hospital of Jining Medical College, Jining, China
| | - Chengyu Liu
- School of Instrument Science and Engineering, Southeast University, Nanjing, China
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12
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Sequeira VCC, Bandeira PM, Azevedo JCM. Heart rate variability in adults with obstructive sleep apnea: a systematic review. ACTA ACUST UNITED AC 2019; 12:214-221. [PMID: 31890098 PMCID: PMC6932836 DOI: 10.5935/1984-0063.20190082] [Citation(s) in RCA: 43] [Impact Index Per Article: 8.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
Obstructive Sleep Apnea is a common respiratory disorder characterized by recurrent nocturnal episodes of normal breathing interruption due to upper airway total or partial collapse. Obstructive sleep apnea and cardiovascular diseases has similar risk factors, but the first is also a predisposing factor for cardiovascular pathologies independently of individuals demographic characteristics or risk markers. Heart rate variability is a non-invasive method to evaluate the regulation of autonomic nervous system and its a promising marker for health and disease, such as cardiovascular and respiratory diseases. The aim was to review whether heart rate variability is altered in patients with obstructive sleep apnea. We searched in five databases, including BIREME, Cochrane, Scholar Google, MEDLINE/PubMed and Periodics CAPES, and reference lists were also searched. Only cross-sectional studies comparing the heart rate variability of obstructive sleep patients with controls were included. Two authors independently extracted data and assessed trial quality. Twelve studies (513 participants with obstructive sleep apnea and 340 controls) met the inclusion criteria. This review evidence that adults with obstructive sleep apnea may demonstrate diminished vagal tone and higher sympathetic responsiveness.
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Affiliation(s)
- Vanessa Cristina Cunha Sequeira
- Veiga de Almeida University, Neuroscience Postgraduate - Rio de Janeiro - Rio de Janeiro - Brazil.,Federal University of Rio de Janeiro, Edson Saad Heart Institute - Rio de Janeiro - Rio de Janeiro - Brazil
| | - Pamela Martin Bandeira
- Federal University of Rio de Janeiro, Edson Saad Heart Institute - Rio de Janeiro - Rio de Janeiro - Brazil
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13
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Yoon H, Choi SH, Kwon HB, Kim SK, Hwang SH, Oh SM, Choi JW, Lee YJ, Jeong DU, Park KS. Sleep-Dependent Directional Coupling of Cardiorespiratory System in Patients With Obstructive Sleep Apnea. IEEE Trans Biomed Eng 2018; 65:2847-2854. [DOI: 10.1109/tbme.2018.2819719] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
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14
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Mazzotti DR, Lim DC, Sutherland K, Bittencourt L, Mindel JW, Magalang U, Pack AI, de Chazal P, Penzel T. Opportunities for utilizing polysomnography signals to characterize obstructive sleep apnea subtypes and severity. Physiol Meas 2018; 39:09TR01. [PMID: 30047487 DOI: 10.1088/1361-6579/aad5fe] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
BACKGROUND Obstructive sleep apnea (OSA) is a heterogeneous sleep disorder with many pathophysiological pathways to disease. Currently, the diagnosis and classification of OSA is based on the apnea-hypopnea index, which poorly correlates to underlying pathology and clinical consequences. A large number of in-laboratory sleep studies are performed around the world every year, already collecting an enormous amount of physiological data within an individual. Clinically, we have not yet fully taken advantage of this data, but combined with existing analytical approaches, we have the potential to transform the way OSA is managed within an individual patient. Currently, respiratory signals are used to count apneas and hypopneas, but patterns such as inspiratory flow signals can be used to predict optimal OSA treatment. Electrocardiographic data can reveal arrhythmias, but patterns such as heart rate variability can also be used to detect and classify OSA. Electroencephalography is used to score sleep stages and arousals, but specific patterns such as the odds-ratio product can be used to classify how OSA patients responds differently to arousals. OBJECTIVE In this review, we examine these and many other existing computer-aided polysomnography signal processing algorithms and how they can reflect an individual's manifestation of OSA. SIGNIFICANCE Together with current technological advance, it is only a matter of time before advanced automatic signal processing and analysis is widely applied to precision medicine of OSA in the clinical setting.
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Affiliation(s)
- Diego R Mazzotti
- Center for Sleep and Circadian Neurobiology, University of Pennsylvania, Philadelphia, United States of America
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15
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Guo W, Lv T, She F, Miao G, Liu Y, He R, Xue Y, Nu NK, Yang J, Li K, Zhang P. The impact of continuous positive airway pressure on heart rate variability in obstructive sleep apnea patients during sleep: A meta-analysis. Heart Lung 2018; 47:516-524. [PMID: 30031552 DOI: 10.1016/j.hrtlng.2018.05.019] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2018] [Accepted: 05/21/2018] [Indexed: 12/13/2022]
Abstract
BACKGROUND Heart rate variability (HRV), modulated by cardiac autonomic function, is impaired in obstructive sleep apnea (OSA). However, the effect of continuous positive airway pressure (CPAP) on HRV is debated. OBJECTIVES To investigate the associations between CPAP and HRV in OSA. METHODS Based on literature from five databases published through August 2017, we performed a meta-analysis of cohort studies of OSA treated with CPAP. The change of low-frequency band (LF), high-frequency band (HF) and the ratio between LF and HF (LHR) were analyzed. RESULTS Eleven studies were included. Decreased LF (SMD = -0.32, 95%CI: -0.62,-0.01; P = 0.043) and HF (SMD = -0.51, 95%CI: -0.95, -0.08, P = 0.020) were shown while measured on CPAP. When measured off CPAP, HF was increased remarkably (SMD: 0.31, 95%CI: 0.02, 0.60, P = 0.034). CONCLUSIONS CPAP can improve autonomic activity, which might be one mechanism to reduce the risk of cardiovascular diseases in OSA.
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Affiliation(s)
- Wenjia Guo
- School of Clinical Medicine, Tsinghua University, NO.1, Tsinghua Yuan, Haidian District, Beijing, 100084, China
| | - Tingting Lv
- School of Medicine, Tsinghua University, NO.1, Tsinghua Yuan, Haidian District, Beijing, 100084, China
| | - Fei She
- Department of Cardiology, Beijing Tsinghua Changgung Hospital, Tsinghua University, NO.168, LiTang Road, Beijing, 102218, China
| | - Guobin Miao
- Department of Cardiology, Beijing Tsinghua Changgung Hospital, Tsinghua University, NO.168, LiTang Road, Beijing, 102218, China
| | - Yuanwei Liu
- Department of Cardiology, Beijing Tsinghua Changgung Hospital, Tsinghua University, NO.168, LiTang Road, Beijing, 102218, China
| | - Rong He
- Department of Cardiology, Beijing Tsinghua Changgung Hospital, Tsinghua University, NO.168, LiTang Road, Beijing, 102218, China
| | - Yajun Xue
- Department of Cardiology, Beijing Tsinghua Changgung Hospital, Tsinghua University, NO.168, LiTang Road, Beijing, 102218, China
| | - Nang Kham Nu
- School of Clinical Medicine, Tsinghua University, NO.1, Tsinghua Yuan, Haidian District, Beijing, 100084, China
| | - Jing Yang
- Department of Cardiology, Beijing Tsinghua Changgung Hospital, Tsinghua University, NO.168, LiTang Road, Beijing, 102218, China
| | - Kun Li
- School of Clinical Medicine, Tsinghua University, NO.1, Tsinghua Yuan, Haidian District, Beijing, 100084, China
| | - Ping Zhang
- School of Clinical Medicine, Tsinghua University, NO.1, Tsinghua Yuan, Haidian District, Beijing, 100084, China; Department of Cardiology, Beijing Tsinghua Changgung Hospital, Tsinghua University, NO.168, LiTang Road, Beijing, 102218, China.
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16
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Garcia-Retortillo S, Javierre C, Hristovski R, Ventura JL, Balagué N. Cardiorespiratory Coordination in Repeated Maximal Exercise. Front Physiol 2017. [PMID: 28638349 PMCID: PMC5461287 DOI: 10.3389/fphys.2017.00387] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022] Open
Abstract
Increases in cardiorespiratory coordination (CRC) after training with no differences in performance and physiological variables have recently been reported using a principal component analysis approach. However, no research has yet evaluated the short-term effects of exercise on CRC. The aim of this study was to delineate the behavior of CRC under different physiological initial conditions produced by repeated maximal exercises. Fifteen participants performed 2 consecutive graded and maximal cycling tests. Test 1 was performed without any previous exercise, and Test 2 6 min after Test 1. Both tests started at 0 W and the workload was increased by 25 W/min in males and 20 W/min in females, until they were not able to maintain the prescribed cycling frequency of 70 rpm for more than 5 consecutive seconds. A principal component (PC) analysis of selected cardiovascular and cardiorespiratory variables (expired fraction of O2, expired fraction of CO2, ventilation, systolic blood pressure, diastolic blood pressure, and heart rate) was performed to evaluate the CRC defined by the number of PCs in both tests. In order to quantify the degree of coordination, the information entropy was calculated and the eigenvalues of the first PC (PC1) were compared between tests. Although no significant differences were found between the tests with respect to the performed maximal workload (Wmax), maximal oxygen consumption (VO2 max), or ventilatory threshold (VT), an increase in the number of PCs and/or a decrease of eigenvalues of PC1 (t = 2.95; p = 0.01; d = 1.08) was found in Test 2 compared to Test 1. Moreover, entropy was significantly higher (Z = 2.33; p = 0.02; d = 1.43) in the last test. In conclusion, despite the fact that no significant differences were observed in the conventionally explored maximal performance and physiological variables (Wmax, VO2 max, and VT) between tests, a reduction of CRC was observed in Test 2. These results emphasize the interest of CRC evaluation in the assessment and interpretation of cardiorespiratory exercise testing.
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Affiliation(s)
- Sergi Garcia-Retortillo
- Complex Systems in Sport, Institut Nacional d'Educació Física de Catalunya (INEFC), Universitat de Barcelona (UB)Barcelona, Spain.,Complex Systems in Sport, School of Health and Sport Sciences (EUSES), Universitat de GironaGirona, Spain
| | - Casimiro Javierre
- Department Physiological Sciences, Universitat de Barcelona (UB)Barcelona, Spain
| | - Robert Hristovski
- Complex Systems in Sport, Faculty of Physical Education, Sport and Health, Saints Cyril and Methodius University of SkopjeSkopje, Macedonia
| | - Josep L Ventura
- Department Physiological Sciences, Universitat de Barcelona (UB)Barcelona, Spain
| | - Natàlia Balagué
- Complex Systems in Sport, School of Health and Sport Sciences (EUSES), Universitat de GironaGirona, Spain
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17
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Tobaldini E, Covassin N, Calvin A, Singh P, Bukartyk J, Wang S, Montano N, Somers VK. Cardiac autonomic control and complexity during sleep are preserved after chronic sleep restriction in healthy subjects. Physiol Rep 2017; 5:e13197. [PMID: 28408635 PMCID: PMC5392506 DOI: 10.14814/phy2.13197] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2017] [Accepted: 02/13/2017] [Indexed: 11/29/2022] Open
Abstract
Acute sleep deprivation (SD) alters cardiovascular autonomic control (CAC) and is associated with an increased risk of cardiovascular disorders. However, the effects of partial SD on CAC are unclear. Thus, we aimed to investigate the effects of partial SD on CAC during sleep. We randomized seventeen healthy subjects to a restriction group (RES, n = 8, subjects slept two-thirds of normal sleep time based on individual habitual sleep duration for 8 days and 8 nights) or a Control group (CON, n = 9, subjects were allowed to sleep their usual sleep time). Attended polysomnographic (PSG) studies were performed every night; a subset of them was selected for the analysis at baseline (day 3-D3), the first night after sleep restriction (day 5-D5), at the end of sleep restriction period (day 11-D11), and at the end of recovery phase (day 14-D14). We extracted electrocardiogram (ECG) and respiration from the PSG and divided into wakefulness (W), nonrapid eye movements (REM) sleep (N2 and N3) and REM sleep. CAC was evaluated by means of linear spectral analysis, nonlinear symbolic analysis and complexity indexes. In both RES and CON groups, sympathetic modulation decreased and parasympathetic modulation increased during N2 and N3 compared to W and REM at D3, D5, D11, D14. Complexity analysis revealed a reduction in complexity during REM compared to NREM sleep in both DEP and CON After 8 days of moderate SD, cardiac autonomic dynamics, characterized by decreased sympathetic, and increased parasympathetic modulation, and higher cardiac complexity during NREM sleep, compared to W and REM, are preserved.
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Affiliation(s)
- Eleonora Tobaldini
- Department of Internal Medicine, Fondazione IRCSS Ca' Granda, Ospedale Maggiore Policlinico, Milan, Italy
- Department of Clinical Sciences and Community of Health, University of Milan, Milan, Italy
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, Minnesota, USA
| | - Naima Covassin
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, Minnesota, USA
| | - Andrew Calvin
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, Minnesota, USA
| | - Prachi Singh
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, Minnesota, USA
| | - Jan Bukartyk
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, Minnesota, USA
| | - Shiang Wang
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, Minnesota, USA
| | - Nicola Montano
- Department of Internal Medicine, Fondazione IRCSS Ca' Granda, Ospedale Maggiore Policlinico, Milan, Italy
- Department of Clinical Sciences and Community of Health, University of Milan, Milan, Italy
| | - Virend K Somers
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, Minnesota, USA
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18
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Martin A, Guerrero-Mora G, Dorantes-Méndez G, Alba A, Méndez MO, Chouvarda I. Non-linear analysis of EEG and HRV signals during sleep. ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY. ANNUAL INTERNATIONAL CONFERENCE 2016; 2015:4174-7. [PMID: 26737214 DOI: 10.1109/embc.2015.7319314] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
The sleep phenomenon is a complex process that involves fluctuations of autonomic functions such as the blood pressure, temperature and brain function. These fluctuations change their properties through the different sleep stages with specific relations among the different systems. In order to understand the relation between the cardiovascular and central nervous system at the different sleep stages, we applied different non-linear methods to the energy of electroencephalographic signal (EEG) and the heart rate fluctuations. The EEG was divided in the Delta, Theta, Alpha and Beta frequency bands and the mean energy of these bands was computed at each heart rate interval. Thus, the non-linear relation was evaluated between the energy of the EEG bands and the heart rate fluctuations using Cross-Correlation, Cross-Sample Entropy and Recurrence Quantification Analysis in segments of 5 minutes grouped by sleep stage. The results showed that a relation exists between the changes of the energy in the Delta band and the Heart rate fluctuations.
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19
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Chang JS, Kim EY, Jung D, Jeong SH, Kim Y, Roh MS, Ahn YM, Hahm BJ. Altered cardiorespiratory coupling in young male adults with excessive online gaming. Biol Psychol 2015; 110:159-66. [PMID: 26253868 DOI: 10.1016/j.biopsycho.2015.07.016] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2014] [Revised: 07/10/2015] [Accepted: 07/30/2015] [Indexed: 12/14/2022]
Abstract
INTRODUCTION This study aimed to investigate changes in heart rate variability and cardiorespiratory coupling in male college students with problematic Internet use (PIU) excessive gaming type during action video game play to assess the relationship between PIU tendency and central autonomic regulation. METHOD Electrocardiograms and respiration were simultaneously recorded from 22 male participants with excessive online gaming and 22 controls during action video game play. Sample entropy (SampEn) was computed to assess autonomic regularity, and cross-SampEn was calculated to quantify autonomic coordination. RESULTS During video game play, reduced cardiorespiratory coupling (CRC) was observed in individuals with PIU excessive gaming type compared with controls, implicating central autonomic dysregulation. The PIU tendency was associated with the severity of autonomic dysregulation. CONCLUSION These findings indicate impaired CRC in PIU excessive gaming type, which may reflect alterations of central inhibitory control over autonomic responses to pleasurable online stimuli.
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Affiliation(s)
- Jae Seung Chang
- Department of Psychiatry and Institute of Clinical Psychopharmacology, Dongguk University Ilsan Medical Center, 27 Dongguk-Ro, Ilsandong-Gu, Goyang, Gyeonggi 410-773, Republic of Korea
| | - Eun Young Kim
- Mental Health Clinic, National Cancer Center, 323 Ilsan-Ro, Ilsandong-Gu, Goyang, Gyeonggi 410-769, Republic of Korea
| | - Dooyoung Jung
- Department of Psychiatry, Seoul National University Hospital, 101 Daehak-Ro, Jongno-Gu, Seoul 110-744, Republic of Korea
| | - Seong Hoon Jeong
- Department of Psychiatry, Eulji University Hospital, 1306 Seo-Gu, Dunsan-Dong, Daejeon 302-799, Republic of Korea
| | - Yeni Kim
- Department of Adolescent Psychiatry, National Center for Child and Adolescent Psychiatry, Seoul National Hospital, 398 Neungdong-Ro, Gwangin-Gu, Seoul 143-711, Republic of Korea
| | - Myoung-Sun Roh
- Department of Medicine, Seoul National University College of Medicine, 103 Daehak-Ro, Jongno-Gu, Seoul 110-799, Republic of Korea
| | - Yong Min Ahn
- Department of Psychiatry, Seoul National University Hospital, 101 Daehak-Ro, Jongno-Gu, Seoul 110-744, Republic of Korea; Department of Psychiatry and Behavioral Science, Seoul National University College of Medicine, 101 Daehak-Ro, Jongno-Gu, Seoul 110-744, Republic of Korea
| | - Bong-Jin Hahm
- Department of Psychiatry, Seoul National University Hospital, 101 Daehak-Ro, Jongno-Gu, Seoul 110-744, Republic of Korea; Department of Psychiatry and Behavioral Science, Seoul National University College of Medicine, 101 Daehak-Ro, Jongno-Gu, Seoul 110-744, Republic of Korea.
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