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Review
. 2015 Jan;4(1):46-61.
doi: 10.7453/gahmj.2014.073.

Heart Rate Variability: New Perspectives on Physiological Mechanisms, Assessment of Self-regulatory Capacity, and Health risk

Affiliations
Review

Heart Rate Variability: New Perspectives on Physiological Mechanisms, Assessment of Self-regulatory Capacity, and Health risk

Rollin McCraty et al. Glob Adv Health Med. 2015 Jan.

Abstract

Heart rate variability, the change in the time intervals between adjacent heartbeats, is an emergent property of interdependent regulatory systems that operates on different time scales to adapt to environmental and psychological challenges. This article briefly reviews neural regulation of the heart and offers some new perspectives on mechanisms underlying the very low frequency rhythm of heart rate variability. Interpretation of heart rate variability rhythms in the context of health risk and physiological and psychological self-regulatory capacity assessment is discussed. The cardiovascular regulatory centers in the spinal cord and medulla integrate inputs from higher brain centers with afferent cardiovascular system inputs to adjust heart rate and blood pressure via sympathetic and parasympathetic efferent pathways. We also discuss the intrinsic cardiac nervous system and the heart-brain connection pathways, through which afferent information can influence activity in the subcortical, frontocortical, and motor cortex areas. In addition, the use of real-time HRV feedback to increase self-regulatory capacity is reviewed. We conclude that the heart's rhythms are characterized by both complexity and stability over longer time scales that reflect both physiological and psychological functional status of these internal self-regulatory systems.

心率变异性 (HRC)(在相邻心跳之 间的时间间隔的变化)是相互依存 的调节系统的一种紧急特性,在不 同时段内发生,以适应环境和心理 挑战。这篇文章简要回顾了心脏的 神经调节,在心率变异性的极低频 率节奏机制方面,提供了一些新的 观点。在健康风险和生理及心理自 我调节能力评估讨论的背景下解读 HRV 节律。伴有心血管系统输入功 能的更高级的大脑中枢集成输入的 脊髓和延髓心血管监管中心,通过 交感和副交感神经传出通路调节心 率和血压。我们还讨论了先天性心 脏神经系统和心脏大脑连接通路, 借以传入信息并可以影响皮质下 区,皮质前区和运动皮质区的活 动。此外,审查了使用实时的 HRV 反馈以提高自我调节能力。我们的 结论是,心脏节律的特征在于在更 长的时段上既有复杂性又有稳定 性,这反映出这些内部自我调节系 统的生理和心理功能状态。

La variabilidad de la frecuencia cardiaca, o modificación de los intervalos de tiempo entre los latidos consecutivos del corazón, es una propiedad emergente de los sistemas reguladores interdependientes que opera sobre diferentes escalas temporales para adaptarse a los retos ambientales y psicológicos. Este artículo revisa brevemente la regulación nerviosa del corazón y ofrece nuevas perspectivas sobre los mecanismos subyacentes al ritmo de muy baja frecuencia de la variabilidad de la frecuencia cardiaca. Se analiza la interpretación de los ritmos de la variabilidad de la frecuencia cardiaca en el contexto del riesgo para la salud y la valoración de la capacidad autorregulatoria fisiológica y psicológica. Los centros reguladores cardiovasculares de la médula espinal y del bulbo raquídeo integran entradas de centros cerebrales superiores con entradas de sistemas cardiovasculares aferentes para ajustar la frecuencia cardiaca y la tensión arterial por vías eferentes simpáticas y parasimpáticas. También hablamos sobre el sistema cardiaco nervioso intrínseco y las vías de conexión corazón-cerebro, a través de las cuales la información aferente puede influir sobre la actividad en las áreas subcortical, frontocortical y de la corteza motora. Además, se revisa el uso de retroalimentación de variabilidad de la frecuencia cardiaca a tiempo real para aumentar la capacidad autorreguladora. Concluimos que los ritmos cardiacos se caracterizan tanto por su complejidad como por su estabilidad sobre escalas temporales más largas que reflejan los estados funcionales tanto fisiológicos como psicológicos de estos sistemas internos autorreguladores.

Keywords: Heart rate variability; health risk; physiological mechanisms; self-regulatory capacity.

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Figures

Figure 1
Figure 1
An example of the heart rate (HR) tachogram, a plot of the sequence of time intervals between heartbeats over an 8-hour period in ambulatory recording taken from a 36-year-old male. Each of the traces is 1 hour long, with the starting time of the hour on the left hand side of the figure. The time between each vertical line is 5 minutes. The vertical axis within each of the hourly tracings is the time between heartbeats (inter-beat-intervals) ranging between 400 and 1200 milliseconds (label shown on second row). The hours beginning at 10:45 through 12:45 were during a time when he was in a low-stress classroom setting. His overall HR increased, and the range of the HRV is considerably less during the hour starting at 13:45 (public speaking), when he was presenting to the class. In this case, the relative autonomic nervous system balance is shifted to sympathetic predominance due to the emotional stress around presenting to a group of his peers. Once the presentation completed near the end of the hour, his HR dropped and normal HRV was restored. In the following hours, he was listening to others present and providing feedback. In the hour starting at 17:45, he was engaged in physical exercise (walking up a long steep hill) starting about 20 minutes into the hour where his HR is increased and the HRV is reduced due to cycle-length dependence effects.
Figure 2
Figure 2
Long-term single-neuron recordings from an afferent neuron in the intrinsic cardiac nervous system in a beating dog heart. The top row shows neural activity. The second row is the actual neural recording. The third row is the left ventricular pressure. This intrinsic rhythm has an average period of 90 seconds with a range between 75 to 100 seconds (0.013 Hz - 0.01 Hz), which falls within the VLF band. Used with permission from Dr J. Andrew Armour.
Figure 3
Figure 3
A typical heart rate variability (HRV) recording over a 15-minute period during resting conditions in a healthy individual. The top tracing shows the original HRV waveform. Filtering techniques were used to separate the original waveform into VLF, LF, and HF bands as shown in the lower traces. The bottom of the figure shows the power spectra (left) and the percentage of power (right) in each band. Abbreviations: HF, high frequency; LF, low frequency; PSD: power spectral density; VLF, very low frequency.
Figure 4
Figure 4
Schematic diagram showing the relationship of the principal descending neural pathways from the insular and prefrontal cortex to subcortical structures and the medulla oblongata as outlined by Oppenheimer and Hopkins. The insular and prefrontal cortexes are key sites involved in modulating the heart's rhythm, particularly during emotionally charged circumstances. These structures alone with other centers such as the orbitofrontal cortex and cingulate gyrus can inhibit or enhance emotional responses. The amygdala is involved with refined integration of emotional content in higher centers to produce cardiovascular responses that are appropriate for the emotional aspects of the current circumstances. Imbalances between the neurons in the insula, amygdala and hypothalamus may initiate cardiac rhythm disturbances and arrhythmias. The structures in the medulla represent an interface between incoming afferent information from the heart, lungs and other body systems and outgoing efferent neuronal activity.
Figure 5
Figure 5
Microscopic image of interconnected intrinsic cardiac ganglia in the human heart. The thin, light blue structures are multiple axons that connect the ganglia. Used with permission from Dr J. Andrew Armour.
Figure 6
Figure 6
The neural communication pathways interacting between the heart and the brain are responsible for the generation of heart rate variability. The intrinsic cardiac nervous system integrates information from the extrinsic nervous system and from the sensory neurites within the heart. The extrinsic cardiac ganglia located in the thoracic cavity have connections to the lungs and esophagus and are indirectly connected via the spinal cord to many other organs such as the skin and arteries. The vagus nerve primarily consists of afferent fibers that connect to the medulla after passing through the nodose ganglion. Used with permission from the Institute of HeartMath, Boulder Creek, California.

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