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Sheikh SAA, Shah AJ, Bremner JD, Vaccarino V, Inan OT, Clifford GD, Rad AB. Impedance cardiogram based exploration of cardiac mechanisms in post-traumatic stress disorder during trauma recall. Psychophysiology 2024; 61:e14488. [PMID: 37986190 PMCID: PMC10939951 DOI: 10.1111/psyp.14488] [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: 05/05/2023] [Revised: 10/20/2023] [Accepted: 10/21/2023] [Indexed: 11/22/2023]
Abstract
Post-traumatic stress disorder (PTSD) is an independent risk factor for developing heart failure; however, the underlying cardiac mechanisms are still elusive. This study aims to evaluate the real-time effects of experimentally induced PTSD symptom activation on various cardiac contractility and autonomic measures. We recorded synchronized electrocardiogram and impedance cardiogram from 137 male veterans (17 PTSD, 120 non-PTSD; 48 twin pairs, 41 unpaired singles) during a laboratory-based traumatic reminder stressor. To identify the parameters describing the cardiac mechanisms by which trauma reminders can create stress on the heart, we utilized a feature selection mechanism along with a random forest classifier distinguishing PTSD and non-PTSD. We extracted 99 parameters, including 76 biosignal-based and 23 sociodemographic, medical history, and psychiatric diagnosis features. A subject/twin-wise stratified nested cross-validation procedure was used for parameter tuning and model assessment to identify the important parameters. The identified parameters included biomarkers such as pre-ejection period, acceleration index, velocity index, Heather index, and several physiology-agnostic features. These identified parameters during trauma recall suggested a combination of increased sympathetic nervous system (SNS) activity and deteriorated cardiac contractility that may increase the heart failure risk for PTSD. This indicates that the PTSD symptom activation associates with real-time reductions in several cardiac contractility measures despite SNS activation. This finding may be useful in future cardiac prevention efforts.
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Affiliation(s)
- Shafa-at Ali Sheikh
- Department of Biomedical Informatics, Emory University, Atlanta, USA
- School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, USA
| | - Amit J. Shah
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, USA
- Veterans Affairs Health Care System, USA
- Department of Medicine, Division of Cardiology, Emory University School of Medicine, Atlanta, USA
| | - J. Douglas Bremner
- Veterans Affairs Health Care System, USA
- Department of Psychiatry, Emory University School of Medicine, USA
| | - Viola Vaccarino
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, USA
| | - Omer T. Inan
- School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, USA
| | - Gari D. Clifford
- Department of Biomedical Informatics, Emory University, Atlanta, USA
- Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, USA
| | - Ali Bahrami Rad
- Department of Biomedical Informatics, Emory University, Atlanta, USA
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2
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Sheikh SAA, Alday EAP, Rad AB, Levantsevych O, Alkhalaf M, Soudan M, Abdulbaki R, Haffar A, Smith NL, Goldberg J, Bremner JD, Vaccarino V, Inan OT, Clifford GD, Shah AJ. Association between PTSD and Impedance Cardiogram-based contractility metrics during trauma recall: A controlled twin study. Psychophysiology 2023; 60:e14197. [PMID: 36285491 PMCID: PMC9976595 DOI: 10.1111/psyp.14197] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2022] [Revised: 09/02/2022] [Accepted: 10/02/2022] [Indexed: 01/25/2023]
Abstract
Post-traumatic stress disorder (PTSD) is an independent risk factor for incident heart failure, but the underlying cardiac mechanisms remained elusive. Impedance cardiography (ICG), especially when measured during stress, can help understand the underlying psychophysiological pathways linking PTSD with heart failure. We investigated the association between PTSD and ICG-based contractility metrics (pre-ejection period (PEP) and Heather index (HI)) using a controlled twin study design with a laboratory-based traumatic reminder stressor. PTSD status was assessed using structured clinical interviews. We acquired synchronized electrocardiograms and ICG data while playing personalized-trauma scripts. Using linear mixed-effects models, we examined twins as individuals and within PTSD-discordant pairs. We studied 137 male veterans (48 pairs, 41 unpaired singles) from Vietnam War Era with a mean (standard deviation) age of 68.5(2.5) years. HI during trauma stress was lower in the PTSD vs. non-PTSD individuals (7.2 vs. 9.3 [ohm/s2 ], p = .003). PEP reactivity (trauma minus neutral) was also more negative in PTSD vs. non-PTSD individuals (-7.4 vs. -2.0 [ms], p = .009). The HI and PEP associations with PTSD persisted for adjusted models during trauma and reactivity, respectively. For within-pair analysis of eight PTSD-discordant twin pairs (out of 48 pairs), PTSD was associated with lower HI in neutral, trauma, and reactivity, whereas no association was found between PTSD and PEP. PTSD was associated with reduced HI and PEP, especially with trauma recall stress. This combination of increased sympathetic activation and decreased cardiac contractility combined may be concerning for increased heart failure risk after recurrent trauma re-experiencing in PTSD.
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Affiliation(s)
- Shafa-at Ali Sheikh
- Department of Biomedical Informatics, Emory University, Atlanta, USA
- School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, USA
| | | | - Ali Bahrami Rad
- Department of Biomedical Informatics, Emory University, Atlanta, USA
| | - Oleksiy Levantsevych
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, USA
| | - Mhmtjamil Alkhalaf
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, USA
| | - Majd Soudan
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, USA
| | - Rami Abdulbaki
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, USA
| | - Ammer Haffar
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, USA
| | | | | | - J. Douglas Bremner
- Veterans Affairs Health Care System, USA
- Department of Psychiatry, Emory University School of Medicine, USA
| | - Viola Vaccarino
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, USA
| | - Omer T. Inan
- School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, USA
| | - Gari D. Clifford
- Department of Biomedical Informatics, Emory University, Atlanta, USA
- Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, USA
| | - Amit J. Shah
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, USA
- Veterans Affairs Health Care System, USA
- Department of Medicine, Division of Cardiology, Emory University School of Medicine, Atlanta, USA
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3
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Snijdewint JA, Scheepers D. Group‐based flow: The influence of cardiovascular synchronization and identifiability. Psychophysiology 2022; 60:e14227. [PMID: 36458474 DOI: 10.1111/psyp.14227] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2021] [Revised: 10/07/2022] [Accepted: 10/19/2022] [Indexed: 12/03/2022]
Abstract
Previous work has demonstrated the role of group-based flow in group performance and experience, but the physiological correlates of these relations are largely unknown. We examined the relation between cardiovascular synchronization, self-reported flow, and performance in a three-person online gaming task. We included measures of Heart Rate (HR), Pre-Ejection Period (PEP), and Cardiac Output (CO) as indices of task engagement and challenge (vs. threat) motivation. Group members were identifiable (i.e., visible) or anonymous during the game. Results indicated that PEP (as a marker of task engagement) and within-group synchronization in PEP, predicted flow, and that synchronization in PEP mediated the relation between group performance and experienced flow. The anonymity vs. identifiability of group members did not play a role in these effects. Results are discussed in terms of implications for flow theory, group dynamics, and physiological synchrony.
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Affiliation(s)
- Joyce A. Snijdewint
- Social, Economic, and Organizational Psychology Leiden University Leiden the Netherlands
| | - Daan Scheepers
- Social, Economic, and Organizational Psychology Leiden University Leiden the Netherlands
- Organizational Behavior Group Utrecht University Utrecht the Netherlands
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4
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Sheikh SAA, Gurel NZ, Gupta S, Chukwu IV, Levantsevych O, Alkhalaf M, Soudan M, Abdulbaki R, Haffar A, Vaccarino V, Inan OT, Shah AJ, Clifford GD, Rad AB. Data-driven approach for automatic detection of aortic valve opening: B point detection from impedance cardiogram. Psychophysiology 2022; 59:e14128. [PMID: 35717594 PMCID: PMC9643604 DOI: 10.1111/psyp.14128] [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: 11/27/2021] [Revised: 05/02/2022] [Accepted: 05/24/2022] [Indexed: 11/29/2022]
Abstract
Pre-ejection period (PEP), an indicator of sympathetic nervous system activity, is useful in psychophysiology and cardiovascular studies. Accurate PEP measurement is challenging and relies on robust identification of the timing of aortic valve opening, marked as the B point on impedance cardiogram (ICG) signals. The ICG sensitivity to noise and its waveform's morphological variability makes automated B point detection difficult, requiring inefficient and cumbersome expert visual annotation. In this article, we propose a machine learning-based automated algorithm to detect the aortic valve opening for PEP measurement, which is robust against noise and ICG morphological variations. We analyzed over 60 hr of synchronized ECG and ICG records from 189 subjects. A total of 3657 averaged beats were formed using our recently developed ICG noise removal algorithm. Features such as the averaged ICG waveform, its first and second derivatives, as well as high-level morphological and critical hemodynamic parameters were extracted and fed into the regression algorithms to estimate the B point location. The morphological features were extracted from our proposed "variable" physiologically valid search-window related to diverse B point shapes. A subject-wise nested cross-validation procedure was performed for parameter tuning and model assessment. After examining multiple regression models, Adaboost was selected, which demonstrated superior performance and higher robustness to five state-of-the-art algorithms that were evaluated in terms of low mean absolute error of 3.5 ms, low median absolute error of 0.0 ms, high correlation with experts' estimates (Pearson coefficient = 0.9), and low standard deviation of errors of 9.2 ms. For reproducibility, an open-source toolbox is provided.
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Affiliation(s)
- Shafa-at Ali Sheikh
- Department of Biomedical Informatics, Emory University, Atlanta, USA
- School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, USA
| | - Nil Z. Gurel
- Neurocardiology Research Center of Excellence and Cardiac Arrhythmia Center, David Geffen School of Medicine at UCLA, Los Angeles, USA
| | - Shishir Gupta
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, USA
| | - Ikenna V. Chukwu
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, USA
| | - Oleksiy Levantsevych
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, USA
| | - Mhmtjamil Alkhalaf
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, USA
| | - Majd Soudan
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, USA
| | - Rami Abdulbaki
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, USA
| | - Ammer Haffar
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, USA
| | - Viola Vaccarino
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, USA
| | - Omer T. Inan
- School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, USA
| | - Amit J. Shah
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, USA
- Department of Medicine, Division of Cardiology, Emory University School of Medicine, Atlanta, USA
- Atlanta Veterans Affairs Health Care System, Atlanta, USA
| | - Gari D. Clifford
- Department of Biomedical Informatics, Emory University, Atlanta, USA
- Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, USA
| | - Ali Bahrami Rad
- Department of Biomedical Informatics, Emory University, Atlanta, USA
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5
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Sheikh SAA, Gurel NZ, Gupta S, Chukwu IV, Levantsevych O, Alkhalaf M, Soudan M, Abdulbaki R, Haffar A, Clifford GD, Inan OT, Shah AJ. Validation of a new impedance cardiography analysis algorithm for clinical classification of stress states. Psychophysiology 2022; 59:e14013. [PMID: 35150459 PMCID: PMC9177512 DOI: 10.1111/psyp.14013] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2021] [Revised: 01/10/2022] [Accepted: 01/11/2022] [Indexed: 01/01/2023]
Abstract
Pre-ejection period (PEP) is an index of sympathetic nervous system activity that can be computed from electrocardiogram (ECG) and impedance cardiogram (ICG) signals, but sensitive to speech/motion artifact. We sought to validate an ICG noise removal method, three-stage ensemble-average algorithm (TEA), in data acquired from a clinical trial comparing active versus sham non-invasive vagal nerve stimulation (tcVNS) after standardized speech stress. We first compared TEA's performance versus the standard conventional ensemble-average algorithm (CEA) approach to classify noisy ICG segments. We then analyzed ECG and ICG data to measure PEP and compared group-level differences in stress states with each approach. We evaluated 45 individuals, of whom 23 had post-traumatic stress disorder (PTSD). We found that the TEA approach identified artifact-corrupted beats with intraclass correlation coefficient > 0.99 compared to expert adjudication. TEA also resulted in higher group-level differences in PEP between stress states than CEA. PEP values were lower in the speech stress (vs. baseline rest) group using both techniques, but the differences were greater using TEA (12.1 ms) than CEA (8.0 ms). PEP differences in groups divided by PTSD status and tcVNS (active vs. sham) were also greater when using the TEA versus CEA method, although the magnitude of the differences was lower. In conclusion, TEA helps to accurately identify noisy ICG beats during speaking stress, and this increased accuracy improves sensitivity to group-level differences in stress states compared to CEA, suggesting greater clinical utility.
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Affiliation(s)
- Shafa-at Ali Sheikh
- Department of Biomedical Informatics, Emory University, Atlanta, USA
- School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, USA
| | - Nil Z. Gurel
- Neurocardiology Research Center of Excellence and Cardiac Arrhythmia Center, David Geffen School of Medicine at UCLA, Los Angeles, USA
| | - Shishir Gupta
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, USA
| | - Ikenna V. Chukwu
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, USA
| | - Oleksiy Levantsevych
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, USA
| | - Mhmtjamil Alkhalaf
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, USA
| | - Majd Soudan
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, USA
| | - Rami Abdulbaki
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, USA
| | - Ammer Haffar
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, USA
| | - Gari D. Clifford
- Department of Biomedical Informatics, Emory University, Atlanta, USA
- Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, USA
| | - Omer T. Inan
- School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, USA
| | - Amit J. Shah
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, USA
- Department of Medicine, Division of Cardiology, Emory University School of Medicine, Atlanta, USA
- Atlanta Veterans Affairs Health Care System, Atlanta, USA
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6
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Kerley L, Meredith P, Harnett P. Investigating autonomic biomarkers of sensory processing patterns in young adults. Br J Occup Ther 2022. [DOI: 10.1177/03080226221089845] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Introduction Autonomic nervous system functioning is theorised to underpin individual differences in sensory processing, with a small amount of supporting evidence. Despite recognition of the need to measure the balance between sympathetic and parasympathetic activity, most studies have measured only one of these systems. This study investigated whether sensory processing patterns are related to autonomic balance for young adults at rest and in response to a sensory-based stressor. Method In this cross-sectional laboratory study, 100 young adults completed the adolescent/adult sensory profile. Heart rate variability and pre-ejection period were recorded before, during and after a coldpressor task. Results Relationships between sensory processing patterns and autonomic balance varied by gender. In males, low sensory thresholds were generally related to a state of reciprocal sympathetic activation. In females, low thresholds were associated with greater autonomic reactivity in response to the coldpressor. Conclusion This study showed, for the first time in young adults, that sensory processing patterns may be linked to patterns of autonomic balance. Therapists should be aware that young men with low sensory thresholds may be more likely than others to exhibit a resting state of sympathetic hyperarousal and further research should investigate whether this impacts their daily functioning and wellbeing.
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Affiliation(s)
- Lachlan Kerley
- School of Health and Rehabilitation Sciences, The University of Queensland, St Lucia, QLD, Australia
| | - Pamela Meredith
- School of Health and Rehabilitation Sciences, The University of Queensland, St Lucia, QLD, Australia
- School of Health and Behavioural Sciences, Sunshine Coast University, Maroochydore, Queensland, Australia
| | - Paul Harnett
- School of Criminology and Criminal Justice, Griffith University, Mt Gravatt, Queensland, Australia
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7
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Chabchoub S, Mansouri S, Ben Salah R. Signal processing techniques applied to impedance cardiography ICG signals - a review. J Med Eng Technol 2022; 46:243-260. [PMID: 35040738 DOI: 10.1080/03091902.2022.2026508] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Abstract
Over the last decade, Computer-Aided Diagnosis (CAD) systems have been provided significant research focus by researchers. CAD systems have been developed in order to minimise visual errors, to compensate manual interpretation, and to help medical staff to take decisions swiftly. These systems have been considered as powerful tools for a reliable, automatic, and low-cost monitoring and diagnosis. CAD systems are based on analysis and classification of several physiological signals for detecting and assessing different diseases related to the corresponding organ. The implementation of these systems requires the application of several advanced signal processing techniques. Specifically, in cardiology, CAD systems have achieved promising results in providing an accurate and rapid detection of cardiovascular diseases (CVDs). Particularly, the number of works on signal processing field for impedance cardiography (ICG) signals starts to grow slowly in recent years. This paper presents a review study of signal processing techniques applied to the ICG signal for the denoising, the analysis, the classification and the characterisation purposes. This review is intended to provide researchers with a broad overview of the currently used signal processing techniques for ICG signal analysis, as well as to improve future research by applying other recent advanced methods.
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Affiliation(s)
- Souhir Chabchoub
- Laboratory of Biophysics and Medical Technologies, University of Tunis El-Manar, ISTMT, Tunis, Tunisia
| | - Sofienne Mansouri
- Laboratory of Biophysics and Medical Technologies, University of Tunis El-Manar, ISTMT, Tunis, Tunisia.,Department of Medical Equipment Technology, College of Applied Medical Sciences, Prince Sattam Bin Abdulaziz University, Al-Kharj, Kingdom of Saudi Arabia
| | - Ridha Ben Salah
- Laboratory of Biophysics and Medical Technologies, University of Tunis El-Manar, ISTMT, Tunis, Tunisia
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8
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Silvia PJ, McHone AN, Mironovová Z, Eddington KM, Harper KL, Sperry SH, Kwapil TR. RZ Interval as an Impedance Cardiography Indicator of Effort-Related Cardiac Sympathetic Activity. Appl Psychophysiol Biofeedback 2021; 46:83-90. [PMID: 33170410 PMCID: PMC7880868 DOI: 10.1007/s10484-020-09493-w] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/03/2020] [Indexed: 11/27/2022]
Abstract
Research on effort and motivation commonly assesses how the sympathetic branch of the autonomic nervous system affects the cardiovascular system. The cardiac pre-ejection period (PEP), assessed via impedance cardiography, is a common outcome, but assessing PEP requires identifying subtle points on cardiac waveforms. The present research examined the psychometric value of the RZ interval (RZ), which has recently been proposed as an indicator of sympathetic activity, for effort research. Also known as the initial systolic time interval (ISTI), RZ is the time (in ms) between the ECG R peak and the dZ/dt Z peak. Unlike PEP, RZ involves salient waveform points that are easily and reliably identified. Data from two experiments evaluated the suitability of RZ for effort paradigms and compared it to a popular automated PEP method. In Studies 1 (n = 89) and 2 (n = 71), participants completed a standard appetitive task in which each correct response earned a small amount of cash. As expected, incentives significantly affected PEP and RZ in both experiments. PEP and RZ were highly correlated (all rs ≥ 0.89), and RZ consistently yielded a larger effect size than PEP. In Study 3, a quantitative synthesis of the experiments indicated that the effect size of RZ's response to incentives (Hedges's g = 0.432 [0.310, 0.554]) was roughly 15% larger than PEP's effect size (g = 0.376 [0.256, 0.496]). RZ thus appears promising for future research on sympathetic aspects of effort-related cardiac activity.
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Affiliation(s)
- Paul J Silvia
- Department of Psychology, University of North Carolina at Greensboro, P.O. Box 26170, Greensboro, NC, 27402-6170, USA.
| | - Ashley N McHone
- Department of Psychology, University of North Carolina at Greensboro, P.O. Box 26170, Greensboro, NC, 27402-6170, USA
| | - Zuzana Mironovová
- Department of Psychology, University of North Carolina at Greensboro, P.O. Box 26170, Greensboro, NC, 27402-6170, USA
| | - Kari M Eddington
- Department of Psychology, University of North Carolina at Greensboro, P.O. Box 26170, Greensboro, NC, 27402-6170, USA
| | - Kelly L Harper
- Behavioral Science Division, VA Boston Healthcare System, National Center for PTSD, Boston, USA
| | - Sarah H Sperry
- Department of Psychology, University of Illinois at Urbana-Champaign, Champaign, USA
| | - Thomas R Kwapil
- Department of Psychology, University of Illinois at Urbana-Champaign, Champaign, USA
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9
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de Zambotti M, Forouzanfar M, Javitz H, Goldstone A, Claudatos S, Alschuler V, Baker FC, Colrain IM. Impact of evening alcohol consumption on nocturnal autonomic and cardiovascular function in adult men and women: a dose-response laboratory investigation. Sleep 2021; 44:zsaa135. [PMID: 32663278 PMCID: PMC7819834 DOI: 10.1093/sleep/zsaa135] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2020] [Revised: 07/07/2020] [Indexed: 12/12/2022] Open
Abstract
STUDY OBJECTIVES To investigate the dose-dependent impact of moderate alcohol intake on sleep-related cardiovascular (CV) function, in adult men and women. METHODS A total of 26 healthy adults (30-60 years; 11 women) underwent 3 nights of laboratory polysomnographic (PSG) recordings in which different doses of alcohol (low: 1 standard drink for women and 2 drinks for men; high: 3 standard drinks for women and 4 drinks for men; placebo: no alcohol) were administered in counterbalanced order before bedtime. These led to bedtime average breath alcohol levels of up to 0.02% for the low doses and around 0.05% for the high doses. Autonomic and CV function were evaluated using electrocardiography, impedance cardiography, and beat-to-beat blood pressure monitoring. RESULTS Presleep alcohol ingestion resulted in an overall increase in nocturnal heart rate (HR), suppressed total and high-frequency (vagal) HR variability, reduced baroreflex sensitivity, and increased sympathetic activity, with effects pronounced after high-dose alcohol ingestion (p's < 0.05); these changes followed different dose- and measure-dependent nocturnal patterns in men and women. Systolic blood pressure showed greater increases during the morning hours of the high-alcohol dose night compared to the low-alcohol dose night and placebo, in women only (p's < 0.05). CONCLUSIONS Acute evening alcohol consumption, even at moderate doses, has marked dose- and time-dependent effects on sleep CV regulation in adult men and women. Further studies are needed to evaluate the potential CV risk of repeated alcohol-related alterations in nighttime CV restoration in healthy individuals and in those at high risk for CV diseases, considering sex and alcohol dose and time effects.
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Affiliation(s)
| | | | - Harold Javitz
- Center for Health Sciences, SRI International, Menlo Park, CA
| | - Aimee Goldstone
- Center for Health Sciences, SRI International, Menlo Park, CA
| | | | - Vanessa Alschuler
- Center for Interdisciplinary Brain Sciences, Stanford University School of Medicine, Stanford, CA
| | - Fiona C Baker
- Center for Health Sciences, SRI International, Menlo Park, CA
- Brain Function Research Group, School of Physiology, University of the Witwatersrand, Johannesburg, South Africa
| | - Ian M Colrain
- Center for Health Sciences, SRI International, Menlo Park, CA
- Melbourne School of Psychological Sciences, University of Melbourne, Parkville, Victoria, Australia
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10
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Czarnek G, Richter M, Strojny P. Cardiac sympathetic activity during recovery as an indicator of sympathetic activity during task performance. Psychophysiology 2020; 58:e13724. [PMID: 33205516 DOI: 10.1111/psyp.13724] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2020] [Revised: 10/20/2020] [Accepted: 10/23/2020] [Indexed: 11/28/2022]
Abstract
The goals of this research were to analyze cardiac sympathetic recovery patterns and evaluate whether sympathetic cardiac responses to a task challenge can be predicted using residual cardiac activity measured directly after the task (that is, during the recovery period). In two studies (total N = 181), we measured cardiac sympathetic activity, quantified as pre-ejection period and RB interval, during both task performance and the 2-min recovery period following the task. Additional analyses examined effects on the RZ interval. We found that sympathetic recovery from a task was rather quick: Cardiovascular recovery occurred within the first 30 s of the recovery period. Nevertheless, residual cardiac activity during the recovery period had predictive power for task-related cardiac activity. This suggests that sympathetic cardiac activity during recovery may serve as a useful indicator of task-related cardiac sympathetic activity. We discuss the implications of these findings for practical applications and the design of future studies.
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Affiliation(s)
- Gabriela Czarnek
- Nano Games, Cracow, Poland.,Institute of Psychology, Jagiellonian University, Krakow, Poland
| | - Michael Richter
- School of Psychology, Liverpool John Moores University, Liverpool, UK
| | - Paweł Strojny
- Nano Games, Cracow, Poland.,Faculty of Management and Social Communication, Jagiellonian University, Krakow, Poland
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11
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Saltsman TL, Seery MD, Ward DE, Lamarche VM, Kondrak CL. Is satisficing really satisfying? Satisficers exhibit greater threat than maximizers during choice overload. Psychophysiology 2020; 58:e13705. [PMID: 33107043 DOI: 10.1111/psyp.13705] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2019] [Revised: 09/13/2020] [Accepted: 09/21/2020] [Indexed: 11/27/2022]
Abstract
When selecting from too many options (i.e., choice overload), maximizers (people who search exhaustively to make decisions that are optimal) report more negative post-decisional evaluations of their choices than do satisficers (people who search minimally to make decisions that are sufficient). Although ample evidence exists for differences in responses after-the-fact, little is known about possible divergences in maximizers' and satisficers' experiences during choice overload. Thus, using the biopsychosocial model of challenge/threat, we examined 128 participants' cardiovascular responses as they actively made a selection from many options. Specifically, we focused on cardiovascular responses assessing the degree to which individuals (a) viewed their decisions as valuable/important and (b) viewed themselves as capable (vs. incapable) of making a good choice. Although we found no differences in terms of the value individuals placed on their decisions (i.e., cardiovascular responses of task engagement), satisficers-compared to maximizers-exhibited cardiovascular responses consistent with feeling less capable of making their choice (i.e., greater relative threat). The current work provides a novel investigation of the nature of differences in maximizers'/satisficers' momentary choice overload experiences, suggesting insight into why they engage in such distinct search behaviors.
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Affiliation(s)
- Thomas L Saltsman
- Department of Psychology, University at Buffalo, The State University of New York, Buffalo, NY, USA
| | - Mark D Seery
- Department of Psychology, University at Buffalo, The State University of New York, Buffalo, NY, USA
| | - Deborah E Ward
- Department of Psychology, University at Buffalo, The State University of New York, Buffalo, NY, USA
| | | | - Cheryl L Kondrak
- Department of Psychology, University at Buffalo, The State University of New York, Buffalo, NY, USA
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Silvia PJ, Eddington KM, Harper KL, Burgin CJ, Kwapil TR. Appetitive Motivation in Depressive Anhedonia: Effects of Piece-Rate Cash Rewards on Cardiac and Behavioral Outcomes. MOTIVATION SCIENCE 2020; 6:259-265. [PMID: 33778105 PMCID: PMC7989634 DOI: 10.1037/mot0000151] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
Deficits in self-regulation and motivation are central to depression. Using motivational intensity theory (Brehm & Self, 1989), the present research examined how depressive anhedonia influences effort during a piece-rate appetitive task. In piece-rate tasks, people can work at their own pace and are rewarded for each correct response, so they can gain rewards more quickly by expending more effort. A sample of community adults (n = 78) was evaluated for depressive anhedonia using a structured clinical interview, yielding depressive anhedonia and control groups. Participants completed a self-paced cognitive task, and each correct response yielded a cash reward (3 cents or 15 cents, manipulated within-person). Using impedance cardiography, effort-related physiological activity was assessed via the cardiac pre-ejection period (PEP). The results indicated lower reward responsiveness in the anhedonia group. Compared to the control group, the depressive anhedonia group showed significantly less baseline-to-task change in PEP, and they performed marginally worse on the task. The experiment supports the predictions made by applying motivational intensity theory to depression and offers a useful paradigm for evaluating anhedonic effects on effort while people are striving for appealing rewards.
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Affiliation(s)
- Paul J Silvia
- Department of Psychology, University of North Carolina at Greensboro
| | - Kari M Eddington
- Department of Psychology, University of North Carolina at Greensboro
| | - Kelly L Harper
- Department of Psychology, University of North Carolina at Greensboro
| | | | - Thomas R Kwapil
- Department of Psychology, University of North Carolina at Greensboro
- Department of Psychology, University of Illinois at Urbana-Champaign
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Ali Sheikh SA, Shah A, Levantsevych O, Soudan M, Alkhalaf J, Bahrami Rad A, Inan OT, Clifford GD. An open-source automated algorithm for removal of noisy beats for accurate impedance cardiogram analysis. Physiol Meas 2020; 41:075002. [PMID: 32784269 DOI: 10.1088/1361-6579/ab9b71] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
OBJECTIVE The impedance cardiogram (ICG) is a non-invasive sensing modality for assessing the mechanical aspects of cardiac function, but is sensitive to artifacts from respiration, speaking, motion, and electrode displacement. Electrocardiogram (ECG)-synchronized ensemble averaging of ICG (conventional ensemble averaging method) partially mitigates these disturbances, as artifacts from intra-subject variability (ISVar) of ICG morphology and event latency remain. This paper describes an automated algorithm for removing noisy beats for improved artifact suppression in ensemble-averaged (EA) ICG beats. APPROACH Synchronized ECG and ICG signals from 144 male subjects at rest in different psychological conditions were recorded. A 'three-stage EA ICG beat' was formed by passing 60-seconds non-overlapping ECG-synchronized ICG signals through three filtering stages. The amplitude filtering stage removed spikes/noisy beats with amplitudes outside of normal physiological ranges. Cross-correlation was applied to remove noisy beats in coarse and fine filtering stages. The accuracy of the algorithm-detected artifacts was measured with expert-identified artifacts. Agreement between the expert and the algorithm was assessed using intraclass correlation coefficients (ICC) and Bland-Altman plots. The ISVar of the cardiac parameters was evaluated to quantify improvement in these estimates provided by the proposed method. MAIN RESULTS The proposed algorithm yielded an accuracy of 96.3% and high inter-rater reliability (ICC > 0.997). Bland-Altman plots showed consistently accurate results across values. The ISVar of the cardiac parameters derived using the proposed method was significantly lower than those derived via conventional ensemble averaging method (p < 0.0001). Enhancement in resolution of fiducial points and smoothing of higher-order time derivatives of the EA ICG beats were observed. SIGNIFICANCE The proposed algorithm provides a robust framework for removal of noisy beats and accurate estimation of ICG-based parameters. Importantly, the methodology reduced the ISVar of cardiac parameters. An open-source toolbox has been provided to enable other researchers to readily reproduce and improve upon this work.
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Affiliation(s)
- Shafa-At Ali Sheikh
- Department of Biomedical Informatics, Emory University, Atlanta, GA, United States of America. School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, United States of America
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Zia J, Kimball J, Rozell C, Inan OT. Harnessing the Manifold Structure of Cardiomechanical Signals for Physiological Monitoring During Hemorrhage. IEEE Trans Biomed Eng 2020; 68:1759-1767. [PMID: 32749958 DOI: 10.1109/tbme.2020.3014040] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
OBJECTIVE Local oscillation of the chest wall in response to events during the cardiac cycle may be captured using a sensing modality called seismocardiography (SCG), which is commonly used to infer cardiac time intervals (CTIs) such as the pre-ejection period (PEP). An important factor impeding the ubiquitous application of SCG for cardiac monitoring is that morphological variability of the signals makes consistent inference of CTIs a difficult task in the time-domain. The goal of this work is therefore to enable SCG-based physiological monitoring during trauma-induced hemorrhage using signal dynamics rather than morphological features. METHODS We introduce and explore the observation that SCG signals follow a consistent low-dimensional manifold structure during periods of changing PEP induced in a porcine model of trauma injury. Furthermore, we show that the distance traveled along this manifold correlates strongly to changes in PEP ( ∆PEP). RESULTS ∆PEP estimation during hemorrhage was achieved with a median R2 of 92.5% using a rapid manifold approximation method, comparable to an ISOMAP reference standard, which achieved an R2 of 95.3%. CONCLUSION Rapidly approximating the manifold structure of SCG signals allows for physiological inference abstracted from the time-domain, laying the groundwork for robust, morphology-independent processing methods. SIGNIFICANCE Ultimately, this work represents an important advancement in SCG processing, enabling future clinical tools for trauma injury management.
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Lamarche VM, Seery MD, Kondrak CL, Saltsman TL, Streamer L. Clever girl: Benevolent sexism and cardiovascular threat. Biol Psychol 2020; 149:107781. [DOI: 10.1016/j.biopsycho.2019.107781] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2018] [Revised: 10/01/2019] [Accepted: 10/02/2019] [Indexed: 10/25/2022]
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Saltsman TL, Seery MD, Kondrak CL, Lamarche VM, Streamer L. Too many fish in the sea: A motivational examination of the choice overload experience. Biol Psychol 2019; 145:17-30. [DOI: 10.1016/j.biopsycho.2019.03.010] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2018] [Revised: 03/02/2019] [Accepted: 03/21/2019] [Indexed: 01/05/2023]
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Forouzanfar M, Baker FC, Colrain IM, Goldstone A, de Zambotti M. Automatic analysis of pre-ejection period during sleep using impedance cardiogram. Psychophysiology 2019; 56:e13355. [PMID: 30835856 PMCID: PMC6824194 DOI: 10.1111/psyp.13355] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2018] [Revised: 12/19/2018] [Accepted: 01/31/2019] [Indexed: 12/17/2022]
Abstract
The pre-ejection period (PEP) is a valid index of myocardial contractility and beta-adrenergic sympathetic control of the heart defined as the time between electrical systole (ECG Q wave) to the initial opening of the aortic valve, estimated as the B point on the impedance cardiogram (ICG). B-point detection accuracy can be severely impacted if ICG cardiac cycles corrupted by motion artifact, noise, or electrode displacement are included in the analyses. Here, we developed new algorithms to detect and exclude corrupted ICG cycles by analyzing their level of activity. PEP was then estimated and analyzed on ensemble-averaged clean ICG cycles using an automatic algorithm previously developed by the authors for the detection of B point in awake individuals. We investigated the algorithms' performance relative to expert visual scoring on long-duration data collected from 20 participants during overnight recordings, where the quality of ICG could be highly affected by movement artifacts and electrode displacements and the signal could also vary according to sleep stage and time of night. The artifact rejection algorithm achieved a high accuracy of 87% in detection of expert-identified corrupted ICG cycles, including those with normal amplitude as well as out-of-range values, and was robust to different types and levels of artifact. Intraclass correlations for concurrent validity of the B-point detection algorithm in different sleep stages and in-bed wakefulness exceeded 0.98, indicating excellent agreement with the expert. The algorithms show promise toward sleep applications requiring accurate and reliable automatic measurement of cardiac hemodynamic parameters.
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Affiliation(s)
- Mohamad Forouzanfar
- Human Sleep Research Program, Center for Health Sciences, SRI International, Menlo Park, California
| | - Fiona C Baker
- Human Sleep Research Program, Center for Health Sciences, SRI International, Menlo Park, California
| | - Ian M Colrain
- Human Sleep Research Program, Center for Health Sciences, SRI International, Menlo Park, California
| | - Aimée Goldstone
- Human Sleep Research Program, Center for Health Sciences, SRI International, Menlo Park, California
| | - Massimiliano de Zambotti
- Human Sleep Research Program, Center for Health Sciences, SRI International, Menlo Park, California
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Le PQ, Saltsman TL, Seery MD, Ward DE, Kondrak CL, Lamarche VM. When a small self means manageable obstacles: Spontaneous self-distancing predicts divergent effects of awe during a subsequent performance stressor. JOURNAL OF EXPERIMENTAL SOCIAL PSYCHOLOGY 2019. [DOI: 10.1016/j.jesp.2018.07.010] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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Kortekaas MC, van Velzen MHN, Grüne F, Niehof SP, Stolker RJ, Huygen FJPM. Small intra-individual variability of the pre-ejection period justifies the use of pulse transit time as approximation of the vascular transit. PLoS One 2018; 13:e0204105. [PMID: 30304059 PMCID: PMC6179208 DOI: 10.1371/journal.pone.0204105] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2017] [Accepted: 09/03/2018] [Indexed: 12/15/2022] Open
Abstract
Background Vascular transit time (VTT) is the propagation time of a pulse wave through an artery; it is a measure for arterial stiffness. Because reliable non-invasive VTT measurements are difficult, as an alternative we measure pulse transit time (PTT). PTT is defined as the time between the R-wave on electrocardiogram and arrival of the resulting pulse wave in a distal location measured with photoplethysmography (PPG). The time between electrical activation of the ventricles and the resulting pulse wave after opening of the aortic valve is called the pre-ejection period (PEP), a component of PTT. The aim of this study was to estimate the variability of PEP at rest, to establish how accurate PTT is as approximation of VTT. Methods PTT was measured and PEP was assessed with echocardiography (gold standard) in three groups of 20 volunteers: 1) a control group without cardiovascular disease aged <50 years and 2) aged >50 years, and 3) a group with cardiovascular risk factors, defined as arterial hypertension, dyslipidemia, kidney failure and diabetes mellitus. Results Per group, the mean PEP was: 1) 58.5 ± 13.0 ms, 2) 52.4 ± 11.9 ms, and 3) 57.6 ± 11.6 ms. However, per individual the standard deviation was much smaller, i.e. 1) 2.0–5.9 ms, 2) 2.8–5.1 ms, and 3) 1.6–12.0 ms, respectively. There was no significant difference in the mean PEP of the 3 groups (p = 0.236). Conclusion In conclusion, the intra-individual variability of PEP is small. A change in PTT in a person at rest is most probably the result of a change in VTT rather than of PEP. Thus, PTT at rest is an easy, non-invasive and accurate approximation of VTT for monitoring arterial stiffness.
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Affiliation(s)
- Minke C. Kortekaas
- Department of Anesthesiology, Erasmus University Medical Centre, Rotterdam, the Netherlands
- * E-mail:
| | - Marit H. N. van Velzen
- Department of Anesthesiology, Erasmus University Medical Centre, Rotterdam, the Netherlands
| | - Frank Grüne
- Department of Anesthesiology, Erasmus University Medical Centre, Rotterdam, the Netherlands
| | - Sjoerd P. Niehof
- Department of Anesthesiology, Erasmus University Medical Centre, Rotterdam, the Netherlands
| | - Robert J. Stolker
- Department of Anesthesiology, Erasmus University Medical Centre, Rotterdam, the Netherlands
| | - Frank J. P. M. Huygen
- Department of Anesthesiology, Erasmus University Medical Centre, Rotterdam, the Netherlands
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Kondrak CL, Seery MD, Gabriel S, Lupien SP. What’s good for me depends on what I see in you: Intimacy avoidance and resources derived from close others. SELF AND IDENTITY 2017. [DOI: 10.1080/15298868.2017.1291447] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Affiliation(s)
- Cheryl L. Kondrak
- Department of Psychology, University at Buffalo, The State University of New York, Buffalo, NY, USA
| | - Mark D. Seery
- Department of Psychology, University at Buffalo, The State University of New York, Buffalo, NY, USA
| | - Shira Gabriel
- Department of Psychology, University at Buffalo, The State University of New York, Buffalo, NY, USA
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Not I, but she: The beneficial effects of self-distancing on challenge/threat cardiovascular responses. JOURNAL OF EXPERIMENTAL SOCIAL PSYCHOLOGY 2017. [DOI: 10.1016/j.jesp.2016.11.008] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
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