1
|
Ruchiwit M, Vuthiarpa S, Ruchiwit K, Muijeen K, Phanphairoj K. A Synthesized Model for Applying Stress Management and Biofeedback Interventions in Research Utilization: A Systematic Review and Meta-analysis. Clin Pract Epidemiol Ment Health 2024; 20:e17450179276691. [PMID: 38660573 PMCID: PMC11037511 DOI: 10.2174/0117450179276691231229071003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2023] [Revised: 11/01/2023] [Accepted: 11/08/2023] [Indexed: 04/26/2024]
Abstract
Background Stress management and biofeedback interventions have been shown to be effective in improving mental and physical health outcomes. However, previous research studies and synthesized models for applying these interventions in research utilization are insufficient. Objective This study aimed to synthesize a model for applying stress management and biofeedback interventions in research utilization. Methods A systematic review and meta-analysis were conducted according to the PRISMA guidelines.Multiple studies were used to assess the effectiveness of applying stress management and biofeedback interventions published from 2017 to 2023. The process included identifying the research questions, conducting a comprehensive literature search, assessing study quality, extracting data, synthesizing the data, analyzing and interpreting the findings, drawing conclusions, and making recommendations. Results The results indicated a significant mean effect size without evidence of publication bias. The effect sizes of the subgroups among the study variables were not significantly different [Q = 4.02, p = .26]. However, there were significant differences regarding the mean effect sizes among the studies [Q = 63.59, p < .001] and also in terms of the test of subgroups among the participants [Q = 8.49, p = .04]. Conclusion The results emphasize the importance of evidence-based practice and highlight the need for ongoing evaluation and refinement of interventions. The proposed model was supported by related theories and research studies in order to ensure the robustness and reliability to guide practice and future research in the field of biofeedback interventions. By following this model, researchers and practitioners can ensure that stress management and biofeedback interventions are evidence-based and are effective in improving mental and physical health outcomes.
Collapse
Affiliation(s)
- Manyat Ruchiwit
- Faculty of Nursing, Rattana Bundit University, Pathumthani, Thailand
| | - Sararud Vuthiarpa
- Faculty of Nursing, Rattana Bundit University, Pathumthani, Thailand
| | - Kampol Ruchiwit
- Faculty of Allied Health Sciences, Thammasat University, Pathumthani, Thailand
| | - Kasorn Muijeen
- Faculty of Nursing, Thammasat University, Pathumthani, Thailand
| | | |
Collapse
|
2
|
Parizek D, Visnovcova N, Hamza Sladicekova K, Veternik M, Jakus J, Jakusova J, Visnovcova Z, Ferencova N, Tonhajzerova I. Effect of Selected Music Soundtracks on Cardiac Vagal Control and Complexity Assessed by Heart Rate Variability. Physiol Res 2023; 72:587-596. [PMID: 38015758 PMCID: PMC10751054 DOI: 10.33549/physiolres.935114] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2023] [Accepted: 06/07/2023] [Indexed: 01/05/2024] Open
Abstract
Listening to music is experimentally associated with positive stress reduction effect on human organisms. However, the opinions of therapists about this complementary non-invasive therapy are still different. PURPOSE The aim of our study was to investigate the effect of selected passive music therapy frequencies without vocals on selected cardio-vagal and complexity indices of short-term heart rate variability (HRV) in healthy youth, in terms of calming the human. MAIN METHODS 30 probands (15 male, averaged age: 19.7+/-1.4 years, BMI: 23.3+/-3.8 kg/m2) were examined during protocol (Silence baseline, Music 1 (20-1000 Hz), Silence 1, Music 2 (250-2000 Hz), Silence 2, Music 3 (1000-16000 Hz), and Silence 3). Evaluated HRV parameters in time, spectral, and geometrical domains represent indices of cardio-vagal and emotional regulation. Additionally, HRV complexity was calculated by approximate entropy and sample entropy (SampEn) and subjective characteristics of each phase by Likert scale. RESULTS the distance between subsequent R-waves in the electrocardiogram (RR intervals [ms]) and SampEn were significantly higher during Music 3 compared to Silence 3 (p=0.015, p=0.021, respectively). Geometrical cardio-vagal index was significantly higher during Music 2 than during Silence 2 (p=0.006). In the subjective perception of the healthy youths evaluated statistically through a Likert scale, the phases of music were perceived significantly more pleasant than the silent phases (p<0.001, p=0.008, p=0.003, respectively). CONCLUSIONS Our findings revealed a rise of cardio-vagal modulation and higher complexity assessed by short-term HRV indices suggesting positive relaxing effect music especially of higher frequency on human organism.
Collapse
Affiliation(s)
- D Parizek
- Department of Medical Biophysics, Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava, Martin, Slovak Republic.
| | | | | | | | | | | | | | | | | |
Collapse
|
3
|
Lalanza JF, Lorente S, Bullich R, García C, Losilla JM, Capdevila L. Methods for Heart Rate Variability Biofeedback (HRVB): A Systematic Review and Guidelines. Appl Psychophysiol Biofeedback 2023; 48:275-297. [PMID: 36917418 PMCID: PMC10412682 DOI: 10.1007/s10484-023-09582-6] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/15/2023] [Indexed: 03/16/2023]
Abstract
Heart Rate Variability Biofeedback (HRVB) has been widely used to improve cardiovascular health and well-being. HRVB is based on breathing at an individual's resonance frequency, which stimulates respiratory sinus arrhythmia (RSA) and the baroreflex. There is, however, no methodological consensus on how to apply HRVB, while details about the protocol used are often not well reported. Thus, the objectives of this systematic review are to describe the different HRVB protocols and detect methodological concerns. PsycINFO, CINALH, Medline and Web of Science were searched between 2000 and April 2021. Data extraction and quality assessment were based on PRISMA guidelines. A total of 143 studies were finally included from any scientific field and any type of sample. Three protocols for HRVB were found: (i) "Optimal RF" (n = 37), each participant breathes at their previously detected RF; (ii) "Individual RF" (n = 48), each participant follows a biofeedback device that shows the optimal breathing rate based on cardiovascular data in real time, and (iii) "Preset-pace RF" (n = 51), all participants breathe at the same rate rate, usually 6 breaths/minute. In addition, we found several methodological differences for applying HRVB in terms of number of weeks, duration of breathing or combination of laboratory and home sessions. Remarkably, almost 2/3 of the studies did not report enough information to replicate the HRVB protocol in terms of breathing duration, inhalation/exhalation ratio, breathing control or body position. Methodological guidelines and a checklist are proposed to enhance the methodological quality of future HRVB studies and increase the information reported.
Collapse
Affiliation(s)
- Jaume F Lalanza
- Department of Basic Psychology, Universitat Autònoma de Barcelona, Bellaterra, Spain
- Department of Psychology, UiT The Arctic University of Norway, Tromsø, Norway
| | - Sonia Lorente
- Department of Psychobiology and Methodology of Health Science, Universitat Autònoma de Barcelona, Bellaterra, Spain
- Pediatric Area, Hospital de Terrassa, Consorci Sanitari de Terrassa, Terrassa, Spain
| | - Raimon Bullich
- Department of Basic Psychology, Universitat Autònoma de Barcelona, Bellaterra, Spain
| | - Carlos García
- Department of Basic Psychology, Universitat Autònoma de Barcelona, Bellaterra, Spain
| | - Josep-Maria Losilla
- Department of Psychobiology and Methodology of Health Science, Universitat Autònoma de Barcelona, Bellaterra, Spain
- Sport Research Institute UAB, Universitat Autònoma de Barcelona, Bellaterra, Spain
| | - Lluis Capdevila
- Department of Basic Psychology, Universitat Autònoma de Barcelona, Bellaterra, Spain.
- Sport Research Institute UAB, Universitat Autònoma de Barcelona, Bellaterra, Spain.
- Departament of Basic Psychology, Universitat Autònoma de Barcelona, 08193, Bellaterra, Barcelona, Spain.
| |
Collapse
|
4
|
Bouny P, Arsac LM, Guérin A, Nerincx G, Deschodt-Arsac V. Guiding Breathing at the Resonance Frequency with Haptic Sensors Potentiates Cardiac Coherence. SENSORS (BASEL, SWITZERLAND) 2023; 23:s23094494. [PMID: 37177701 PMCID: PMC10181630 DOI: 10.3390/s23094494] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/14/2023] [Revised: 04/26/2023] [Accepted: 05/03/2023] [Indexed: 05/15/2023]
Abstract
Cardiac coherence is a state achieved when one controls their breathing rate during the so-called resonance frequency breathing. This maneuver allows respiratory-driven vagal modulations of the heart rate to superimpose with sympathetic modulations occurring at 0.1 Hz, thereby maximizing autonomous power in heart-to-brain connections. These stimulations have been shown to improve vagal regulations, which results in obvious benefits for both mental and organic health. Here, we present a device that is able to deliver visual and haptic cues, as well as HRV biofeedback information to guide the user in maintaining a 0.1 Hz breathing frequency. We explored the effectiveness of cardiac coherence in three guidance conditions: visual, haptic and visuo-haptic breathing. Thirty-two healthy students (sixteen males) were divided into three groups that experienced five minutes of either visual, haptic and visuo-haptic guided breathing at 0.1 Hz. The effects of guidance on the (adequate) breathing pattern and heart rate variability (HRV) were analyzed. The interest of introducing haptic breathing to achieve cardiac coherence was shown in the haptic and visuo-haptic groups. Especially, the P0.1 index, which indicates how the autonomous power is 'concentrated' at 0.1 Hz in the PSD spectrum, demonstrated the superiority of combining haptic with visual sensory inputs in potentiating cardiac coherence (0.55 ± 0.20 for visuo-haptic vs. 0.28 ± 0.14 for visual only guidance; p < 0.05) haptic-induced effectiveness could be an asset for a more efficient and time-saving practice, allowing improved health and well-being even under tight time constraints.
Collapse
Affiliation(s)
- Pierre Bouny
- Univ. Bordeaux, CNRS, Bordeaux INP, IMS, UMR 5218, F-33400 Talence, France
- URGOTECH, 15 Avenue d'Iéna, F-75116 Paris, France
| | - Laurent M Arsac
- Univ. Bordeaux, CNRS, Bordeaux INP, IMS, UMR 5218, F-33400 Talence, France
| | | | - Guillam Nerincx
- Univ. Bordeaux, CNRS, Bordeaux INP, IMS, UMR 5218, F-33400 Talence, France
- URGOTECH, 15 Avenue d'Iéna, F-75116 Paris, France
| | | |
Collapse
|
5
|
Riganello F, Vatrano M, Tonin P, Cerasa A, Cortese MD. Heart Rate Complexity and Autonomic Modulation Are Associated with Psychological Response Inhibition in Healthy Subjects. ENTROPY (BASEL, SWITZERLAND) 2023; 25:152. [PMID: 36673293 PMCID: PMC9857955 DOI: 10.3390/e25010152] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Revised: 01/10/2023] [Accepted: 01/10/2023] [Indexed: 06/17/2023]
Abstract
BACKGROUND the ability to suppress/regulate impulsive reactions has been identified as common factor underlying the performance in all executive function tasks. We analyzed the HRV signals (power of high (HF) and low (LF) frequency, Sample Entropy (SampEn), and Complexity Index (CI)) during the execution of cognitive tests to assess flexibility, inhibition abilities, and rule learning. METHODS we enrolled thirty-six healthy subjects, recording five minutes of resting state and two tasks of increasing complexity based on 220 visual stimuli with 12 × 12 cm red and white squares on a black background. RESULTS at baseline, CI was negatively correlated with age, and LF was negatively correlated with SampEn. In Task 1, the CI and LF/HF were negatively correlated with errors. In Task 2, the reaction time positively correlated with the CI and the LF/HF ratio errors. Using a binary logistic regression model, age, CI, and LF/HF ratio classified performance groups with a sensitivity and specificity of 73 and 71%, respectively. CONCLUSIONS this study performed an important initial exploration in defining the complex relationship between CI, sympathovagal balance, and age in regulating impulsive reactions during cognitive tests. Our approach could be applied in assessing cognitive decline, providing additional information on the brain-heart interaction.
Collapse
Affiliation(s)
| | | | - Paolo Tonin
- S. Anna Institute, Via Siris 11, 88900 Crotone, Italy
| | - Antonio Cerasa
- S. Anna Institute, Via Siris 11, 88900 Crotone, Italy
- Institute for Biomedical Research and Innovation (IRIB), National Research Council of Italy (CNR), 98100 Messina, Italy
- Pharmacotechnology Documentation and Transfer Unit, Preclinical and Translational Pharmacology, Department of Pharmacy, Health Science and Nutrition, University of Calabria, 87036 Rende, Italy
| | | |
Collapse
|
6
|
Zeng J, Meng J, Wang C, Leng W, Zhong X, Gong A, Bo S, Jiang C. High vagally mediated resting-state heart rate variability is associated with superior working memory function. Front Neurosci 2023; 17:1119405. [PMID: 36891458 PMCID: PMC9986304 DOI: 10.3389/fnins.2023.1119405] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2022] [Accepted: 01/30/2023] [Indexed: 02/22/2023] Open
Abstract
Background Heart rate variability (HRV), a cardiac vagal tone indicator, has been proven to predict performance on some cognitive tasks that rely on the prefrontal cortex. However, the relationship between vagal tone and working memory remains understudied. This study explores the link between vagal tone and working memory function, combined with behavioral tasks and functional near-infrared spectroscopy (fNIRS). Methods A total of 42 undergraduate students were tested for 5-min resting-state HRV to obtain the root mean square of successive differences (rMSSD) data, and then divided into high and low vagal tone groups according to the median of rMSSD data. The two groups underwent the n-back test, and fNIRS was used to measure the neural activity in the test state. ANOVA and the independent sample t-test were performed to compare group mean differences, and the Pearson correlation coefficient was used for correlation analysis. Results The high vagal tone group had a shorter reaction time, higher accuracy, lower inverse efficiency score, and lower oxy-Hb concentration in the bilateral prefrontal cortex in the working memory tasks state. Furthermore, there were associations between behavioral performance, oxy-Hb concentration, and resting-state rMSSD. Conclusion Our findings suggest that high vagally mediated resting-state HRV is associated with working memory performance. High vagal tone means a higher efficiency of neural resources, beneficial to presenting a better working memory function.
Collapse
Affiliation(s)
- Jia Zeng
- The Center of Neuroscience and Sports, Capital University of Physical Education and Sports, Beijing, China
| | - Jiao Meng
- The Center of Neuroscience and Sports, Capital University of Physical Education and Sports, Beijing, China
| | - Chen Wang
- The Center of Neuroscience and Sports, Capital University of Physical Education and Sports, Beijing, China
| | - Wenwu Leng
- The Center of Neuroscience and Sports, Capital University of Physical Education and Sports, Beijing, China
| | - Xiaoke Zhong
- The Center of Neuroscience and Sports, Capital University of Physical Education and Sports, Beijing, China
| | - Anmin Gong
- School of Information Engineering, Engineering University of People's Armed Police, Xi'an, China
| | - Shumin Bo
- School of Kinesiology and Health, Capital University of Physical Education and Sports, Beijing, China
| | - Changhao Jiang
- The Center of Neuroscience and Sports, Capital University of Physical Education and Sports, Beijing, China.,School of Kinesiology and Health, Capital University of Physical Education and Sports, Beijing, China
| |
Collapse
|
7
|
Inhibitory Control and Brain–Heart Interaction: An HRV-EEG Study. Brain Sci 2022; 12:brainsci12060740. [PMID: 35741625 PMCID: PMC9221218 DOI: 10.3390/brainsci12060740] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2022] [Revised: 06/01/2022] [Accepted: 06/02/2022] [Indexed: 12/10/2022] Open
Abstract
Background: Motor inhibition is a complex cognitive function regulated by specific brain regions and influenced by the activity of the Central Autonomic Network. We investigate the two-way Brain–Heart interaction during a Go/NoGo task. Spectral EEG ϑ, α powerbands, and HRV parameters (Complexity Index (CI), Low Frequency (LF) and High Frequency (HF) powers) were recorded. Methods: Fourteen healthy volunteers were enrolled. We used a modified version of the classical Go/NoGo task, based on Rule Shift Cards, characterized by a baseline and two different tasks of different complexity. The participants were divided into subjects with Good (GP) and Poor (PP) performances. Results: In the baseline, CI was negatively correlated with α/ϑ. In task 1, the CI was negatively correlated with the errors and α/ϑ, while the errors were positively correlated with α/ϑ. In task 2, CI was negatively correlated with the Reaction Time and positively with α, and the errors were negatively correlated with the Reaction Time and positively correlated with α/ϑ. The GP group showed, at baseline, a negative correlation between CI and α/ϑ. Conclusions: We provide a new combined Brain–Heart model underlying inhibitory control abilities. The results are consistent with the complementary role of α and ϑ oscillations in cognitive control.
Collapse
|
8
|
Quadt L, Critchley H, Nagai Y. Cognition, emotion, and the central autonomic network. Auton Neurosci 2022; 238:102948. [PMID: 35149372 DOI: 10.1016/j.autneu.2022.102948] [Citation(s) in RCA: 34] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2021] [Revised: 12/05/2021] [Accepted: 01/16/2022] [Indexed: 10/19/2022]
Abstract
The demands of both mental and physical activity are integrated with the dynamic control of internal bodily states. The set of neural interactions that supports autonomic regulation extends beyond afferent-efferent homeostatic reflexes (interoceptive feedback, autonomic action) to encompass allostatic policies reflecting more abstract and predictive mental representations, often accessed as conscious thoughts and feelings. Historically and heuristically, reason is contrasted with passion, cognition with emotion, and 'cold' with 'hot' cognition. These categories are themselves arbitrary and blurred. Investigations of psychological processes have been generally pursued during states of musculoskeletal quiescence and are thus relatively insensitive to autonomic interaction with attentional, perceptual, mnemonic and decision-making processes. Autonomic psychophysiology has nevertheless highlighted the bidirectional coupling of distinct cognitive domains to the internal states of bodily arousal. More powerfully perhaps, in the context of emotion, autonomically mediated changes in inner bodily physiological states are viewed as intrinsic constituents of the expression of emotions, while their feedback representation is proposed to underpin emotional and motivational feelings. Here, we review the brain systems, encapsulated by the notion of central autonomic network, that provide the interface between cognitive, emotional and autonomic state. These systems span the neuraxis, overlap with the more general governance of behaviour, and represent district levels of proximity to survival-related imperatives. We touch upon the conceptual relevance of prediction and surprise to understanding the integration of cognition and emotion with autonomic control.
Collapse
Affiliation(s)
- Lisa Quadt
- BSMS Department of Neuroscience, University of Brighton and University of Sussex, UK; Sussex Neuroscience, University of Sussex, UK
| | - Hugo Critchley
- BSMS Department of Neuroscience, University of Brighton and University of Sussex, UK; Sussex Neuroscience, University of Sussex, UK; Sackler Centre for Consciousness Science, University of Sussex, UK; Sussex Partnership NHS Foundation Trust, UK.
| | - Yoko Nagai
- BSMS Department of Neuroscience, University of Brighton and University of Sussex, UK; Sussex Neuroscience, University of Sussex, UK
| |
Collapse
|
9
|
Degraded Psychophysiological Status in Caregivers and Human Resources Staff during a COVID-19 Peak Unveiled by Psychological and HRV Testing at Workplace. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19031710. [PMID: 35162733 PMCID: PMC8835268 DOI: 10.3390/ijerph19031710] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/26/2021] [Revised: 01/25/2022] [Accepted: 01/28/2022] [Indexed: 12/04/2022]
Abstract
During COVID-19 pandemic peaks, healthcare professionals are a frontline workforce that deals with death on an almost daily basis and experiences a marked increase in workload. Returning home is also associated with fear of contaminating or be contaminated. An obvious consequence is stress accumulation and associated risks, especially in caregivers in mobility and possibly in human resource teams managing mobility. Here, during the second pandemic peak, we designed a 15-min testing procedure at the workplace, combining HADS and Brief COPE questionnaires with heart rate variability (HRV) recordings to evaluate psychophysiological status in four groups: caregivers in mobility (MOB); human resources teams managing mobility (ADM); caregivers without mobility (N-MOB); and university researchers teaching online (RES). Anxiety, depression, coping strategies, vagally-mediated heart rate regulation, and nonlinear dynamics (entropy) in cardiac autonomic control were quantified. Anxiety reached remarkably high levels in both MOB and ADM, which was reflected in vagal and nonlinear HRV markers. ADM maintained a better problem-solving capacity. MOB and N-MOB exhibited degraded problem-solving capacity. Multivariate approaches show how combining psychological and physiological markers helps draw highly group-specific psychophysiological profiles. Entropy in HRV and problem-solving capacity were highly relevant for that. Combining HADS and Brief COPE questionnaires with HRV testing at the workplace may provide highly relevant cues to manage mobility during crises as well as prevent health risks, absenteeism, and more generally malfunction incidents at hospitals.
Collapse
|
10
|
Moon E, Yang M, Seon Q, Linnaranta O. Relevance of Objective Measures in Psychiatric Disorders-Rest-Activity Rhythm and Psychophysiological Measures. Curr Psychiatry Rep 2021; 23:85. [PMID: 34714422 PMCID: PMC8556205 DOI: 10.1007/s11920-021-01291-3] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 09/08/2021] [Indexed: 12/28/2022]
Abstract
PURPOSE OF REVIEW We present a review of recent methods of objective measurement in psychiatry and psychology with a focus on home monitoring and its utility in guiding treatment. RECENT FINDINGS For individualized diagnostics and treatment of insomnia, actigraphy can generate clinically useful graphical presentations of sleep timing and patterns. Psychophysiological measures may complement psychometrics by tracking parallel changes in physiological responses and emotional functioning, especially during therapy for trauma symptoms and emotion regulation. It seems that rather than defining universal cut-offs, an individualised range of variability could characterize treatment response. Wearable actigraphy and psychophysiological sensors are promising devices to provide biofeedback and guide treatment. Use of feasible and reliable technology during experimental and clinical procedures may necessitate defining healthy and abnormal responses in different populations and pathological states. We present a "call for action" towards further collaborative work to enable large scale use of objective measures.
Collapse
Affiliation(s)
- Eunsoo Moon
- Department of Psychiatry, Pusan National University School of Medicine, Yangsan, Republic of Korea
- Department of Psychiatry and Biomedical Institute, Pusan National University Hospital, Busan, Republic of Korea
| | - Michelle Yang
- Interdisciplinary Health Sciences, University of Ottawa, Ottawa, ON, Canada
| | - Quinta Seon
- Department of Psychiatry, McGill University, Montreal, QC, Canada
| | - Outi Linnaranta
- Department of Psychiatry, McGill University, Montreal, QC, Canada.
- Mental Health Unit, Finnish Institute for Health and Welfare, P.O. Box 30, 00271, Helsinki, Finland.
- Douglas Centre for Sleep and Biological Rhythms, Douglas Mental Health University Institute, 6875 LaSalle Boulevard, Montreal, QC, H4H 1R3, Canada.
| |
Collapse
|
11
|
Pham T, Lau ZJ, Chen SHA, Makowski D. Heart Rate Variability in Psychology: A Review of HRV Indices and an Analysis Tutorial. SENSORS (BASEL, SWITZERLAND) 2021; 21:3998. [PMID: 34207927 PMCID: PMC8230044 DOI: 10.3390/s21123998] [Citation(s) in RCA: 71] [Impact Index Per Article: 23.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/03/2021] [Revised: 06/04/2021] [Accepted: 06/04/2021] [Indexed: 12/16/2022]
Abstract
The use of heart rate variability (HRV) in research has been greatly popularized over the past decades due to the ease and affordability of HRV collection, coupled with its clinical relevance and significant relationships with psychophysiological constructs and psychopathological disorders. Despite the wide use of electrocardiograms (ECG) in research and advancements in sensor technology, the analytical approach and steps applied to obtain HRV measures can be seen as complex. Thus, this poses a challenge to users who may not have the adequate background knowledge to obtain the HRV indices reliably. To maximize the impact of HRV-related research and its reproducibility, parallel advances in users' understanding of the indices and the standardization of analysis pipelines in its utility will be crucial. This paper addresses this gap and aims to provide an overview of the most up-to-date and commonly used HRV indices, as well as common research areas in which these indices have proven to be very useful, particularly in psychology. In addition, we also provide a step-by-step guide on how to perform HRV analysis using an integrative neurophysiological toolkit, NeuroKit2.
Collapse
Affiliation(s)
- Tam Pham
- School of Social Sciences, Nanyang Technological University, Singapore 639818, Singapore; (T.P.); (Z.J.L.); (D.M.)
| | - Zen Juen Lau
- School of Social Sciences, Nanyang Technological University, Singapore 639818, Singapore; (T.P.); (Z.J.L.); (D.M.)
| | - S. H. Annabel Chen
- School of Social Sciences, Nanyang Technological University, Singapore 639818, Singapore; (T.P.); (Z.J.L.); (D.M.)
- Centre for Research and Development in Learning, Nanyang Technological University, Singapore 637460, Singapore
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore 636921, Singapore
- National Institute of Education, Nanyang Technological University, Singapore 637616, Singapore
| | - Dominique Makowski
- School of Social Sciences, Nanyang Technological University, Singapore 639818, Singapore; (T.P.); (Z.J.L.); (D.M.)
| |
Collapse
|
12
|
Bouny P, Arsac LM, Touré Cuq E, Deschodt-Arsac V. Entropy and Multifractal-Multiscale Indices of Heart Rate Time Series to Evaluate Intricate Cognitive-Autonomic Interactions. ENTROPY 2021; 23:e23060663. [PMID: 34070402 PMCID: PMC8230296 DOI: 10.3390/e23060663] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/29/2021] [Revised: 05/20/2021] [Accepted: 05/21/2021] [Indexed: 12/17/2022]
Abstract
Recent research has clarified the existence of a networked system involving a cortical and subcortical circuitry regulating both cognition and cardiac autonomic control, which is dynamically organized as a function of cognitive demand. The main interactions span multiple temporal and spatial scales and are extensively governed by nonlinear processes. Hence, entropy and (multi)fractality in heart period time series are suitable to capture emergent behavior of the cognitive-autonomic network coordination. This study investigated how entropy and multifractal-multiscale analyses could depict specific cognitive-autonomic architectures reflected in the heart rate dynamics when students performed selective inhibition tasks. The participants (N=37) completed cognitive interference (Stroop color and word task), action cancellation (stop-signal) and action restraint (go/no-go) tasks, compared to watching a neutral movie as baseline. Entropy and fractal markers (respectively, the refined composite multiscale entropy and multifractal-multiscale detrended fluctuation analysis) outperformed other time-domain and frequency-domain markers of the heart rate variability in distinguishing cognitive tasks. Crucially, the entropy increased selectively during cognitive interference and the multifractality increased during action cancellation. An interpretative hypothesis is that cognitive interference elicited a greater richness in interactive processes that form the central autonomic network while action cancellation, which is achieved via biasing a sensorimotor network, could lead to a scale-specific heightening of multifractal behavior.
Collapse
Affiliation(s)
- Pierre Bouny
- Univ. Bordeaux, CNRS, Laboratoire IMS, UMR 5218 Talence, France; (L.M.A.); (V.D.-A.)
- URGOTECH, 15 avenue d’Iéna, 75116 Paris, France;
- Correspondence:
| | - Laurent M. Arsac
- Univ. Bordeaux, CNRS, Laboratoire IMS, UMR 5218 Talence, France; (L.M.A.); (V.D.-A.)
| | | | | |
Collapse
|
13
|
Physiological Resonance in Empathic Stress: Insights from Nonlinear Dynamics of Heart Rate Variability. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph18042081. [PMID: 33669908 PMCID: PMC7924605 DOI: 10.3390/ijerph18042081] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/30/2020] [Revised: 01/29/2021] [Accepted: 02/13/2021] [Indexed: 01/10/2023]
Abstract
Because most humans live and work in populated environments, researchers recently took into account that people may not only experience first-hand stress, but also second-hand stress related to the ability to empathically share another person’s stress response. Recently, researchers have begun to more closely examine the existence of such empathic stress and highlighted the human propensity to physiologically resonate with the stress responses of others. As in case of first-hand stress, empathic stress could be deleterious for health if people experience exacerbated activation of hypothalamic–pituitary–adrenal and autonomic nervous systems. Thus, exploring empathic stress in an observer watching someone else experiencing stress is critical to gain a better understanding of physiological resonance and conduct strategies for health prevention. In the current study, we investigated the influence of empathic stress responses on heart rate variability (HRV) with a specific focus on nonlinear dynamics. Classic and nonlinear markers of HRV time series were computed in both targets and observers during a modified Trier social stress test (TSST). We capitalized on multiscale entropy, a reliable marker of complexity for depicting neurovisceral interactions (brain-to-heart and heart-to-brain) and their role in physiological resonance. State anxiety and affect were evaluated as well. While classic markers of HRV were not impacted by empathic stress, we showed that the complexity marker reflected the existence of empathic stress in observers. More specifically, a linear model highlighted a physiological resonance phenomenon. We conclude on the relevance of entropy in HRV dynamics, as a marker of complexity in neurovisceral interactions reflecting physiological resonance in empathic stress.
Collapse
|
14
|
Castiglioni P, Faes L, Valenza G. Assessing Complexity in Physiological Systems through Biomedical Signals Analysis. ENTROPY (BASEL, SWITZERLAND) 2020; 22:E1005. [PMID: 33286774 PMCID: PMC7597077 DOI: 10.3390/e22091005] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 09/07/2020] [Accepted: 09/08/2020] [Indexed: 12/20/2022]
Abstract
The idea that most physiological systems are complex has become increasingly popular in recent decades [...].
Collapse
Affiliation(s)
| | - Luca Faes
- Department of Engineering, University of Palermo, 90128 Palermo, Italy;
| | - Gaetano Valenza
- Department of Information Engineering and Research Center “E. Piaggio”, University of Pisa, 56122 Pisa, Italy;
| |
Collapse
|