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      Leveraging Vagally Mediated Heart Rate Variability as an Actionable, Noninvasive Biomarker for Self-Regulation: Assessment, Intervention, and Evaluation

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          Abstract

          This contribution highlights the significance of using vagally-mediated heart rate variability (vmHRV), a general indicator of adaptation, as an actionable biomarker to assess and enhance self-regulation abilities in individuals and organizations. The paper reviews the state-of-the-art on vmHRV and introduces various techniques to enhance vmHRV, including slow-paced breathing, the diving reflex, transcutaneous vagus nerve stimulation (tVNS), transcranial magnetic stimulation (TMS), and transcranial direct current stimulation (tDCS). The recommendations for policymaking are based on recent systematic reviews and meta-analyses related to the implementation of these techniques in diverse settings, such as clinical, organizational, and educational contexts. The discussion emphasizes the efficacy, accessibility, and cost-effectiveness of vmHRV assessments and offers practical tools for individuals and organizations through a three-part framework—assessment, intervention, and evaluation—ultimately fostering self-regulation abilities at both individual and societal levels.

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          Most cited references51

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          Heart rate variability: Standards of measurement, physiological interpretation, and clinical use

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            A meta-analysis of heart rate variability and neuroimaging studies: implications for heart rate variability as a marker of stress and health.

            The intimate connection between the brain and the heart was enunciated by Claude Bernard over 150 years ago. In our neurovisceral integration model we have tried to build on this pioneering work. In the present paper we further elaborate our model and update it with recent results. Specifically, we performed a meta-analysis of recent neuroimaging studies on the relationship between heart rate variability and regional cerebral blood flow. We identified a number of regions, including the amygdala and ventromedial prefrontal cortex, in which significant associations across studies were found. We further propose that the default response to uncertainty is the threat response and may be related to the well known negativity bias. Heart rate variability may provide an index of how strongly 'top-down' appraisals, mediated by cortical-subcortical pathways, shape brainstem activity and autonomic responses in the body. If the default response to uncertainty is the threat response, as we propose here, contextual information represented in 'appraisal' systems may be necessary to overcome this bias during daily life. Thus, HRV may serve as a proxy for 'vertical integration' of the brain mechanisms that guide flexible control over behavior with peripheral physiology, and as such provides an important window into understanding stress and health. Copyright © 2011 Elsevier Ltd. All rights reserved.
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              Is Open Access

              A healthy heart is not a metronome: an integrative review of the heart's anatomy and heart rate variability

              Heart rate variability (HRV), the change in the time intervals between adjacent heartbeats, is an emergent property of interdependent regulatory systems that operate on different time scales to adapt to challenges and achieve optimal performance. This article briefly reviews neural regulation of the heart, and its basic anatomy, the cardiac cycle, and the sinoatrial and atrioventricular pacemakers. The cardiovascular regulation center in the medulla integrates sensory information and input from higher brain centers, and afferent cardiovascular system inputs to adjust heart rate and blood pressure via sympathetic and parasympathetic efferent pathways. This article reviews sympathetic and parasympathetic influences on the heart, and examines the interpretation of HRV and the association between reduced HRV, risk of disease and mortality, and the loss of regulatory capacity. This article also discusses the intrinsic cardiac nervous system and the heart-brain connection, through which afferent information can influence activity in the subcortical and frontocortical areas, and motor cortex. It also considers new perspectives on the putative underlying physiological mechanisms and properties of the ultra-low-frequency (ULF), very-low-frequency (VLF), low-frequency (LF), and high-frequency (HF) bands. Additionally, it reviews the most common time and frequency domain measurements as well as standardized data collection protocols. In its final section, this article integrates Porges' polyvagal theory, Thayer and colleagues' neurovisceral integration model, Lehrer et al.'s resonance frequency model, and the Institute of HeartMath's coherence model. The authors conclude that a coherent heart is not a metronome because its rhythms are characterized by both complexity and stability over longer time scales. Future research should expand understanding of how the heart and its intrinsic nervous system influence the brain.
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                Author and article information

                Journal
                Policy Insights from the Behavioral and Brain Sciences
                Policy Insights from the Behavioral and Brain Sciences
                SAGE Publications
                2372-7322
                2372-7330
                October 2023
                October 26 2023
                October 2023
                : 10
                : 2
                : 212-220
                Affiliations
                [1 ]Department of Performance Psychology, German Sport University Cologne, Institute of Psychology, Cologne, Germany
                [2 ]Research Group Health Psychology, KU Leuven, Leuven, Belgium
                [3 ]Department of Biological Psychology and Affective Science, University of Potsdam, Potsdam, Germany
                [4 ]Bournemouth University, Poole, UK
                [5 ]University of Roma – La Sapienza, Rome, Italy
                Article
                10.1177/23727322231196789
                5be7d574-60e1-4d32-9476-47e04574dc68
                © 2023

                http://journals.sagepub.com/page/policies/text-and-data-mining-license

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