Animals ; Autonomic Nervous System ; physiology ; Humans ; Parasympathetic Nervous System ; physiology ; Sepsis ; etiology ; physiopathology ; Sympathetic Nervous System ; physiology

The autonomic nervous system controls various internal organs and executes crucial functions through sophisticated neural connectivity and circuits. Its dysfunction causes an imbalance of homeostasis and numerous human disorders. In the past decades, great efforts have been made to study the structure and functions of this system, but so far, our understanding of the classification of autonomic neuronal subpopulations remains limited and a precise map of their connectivity has not been achieved. One of the major challenges that hinder rapid progress in these areas is the complexity and heterogeneity of autonomic neurons. To facilitate the identification of neuronal subgroups in the autonomic nervous system, here we review the well-established and cutting-edge technologies that are frequently used in peripheral neuronal tracing and profiling, and discuss their operating mechanisms, advantages, and targeted applications.
Animals ; Autonomic Nervous System ; physiology ; Cell Differentiation ; physiology ; Cell Lineage ; physiology ; Homeostasis ; physiology ; Humans ; Nervous System ; growth & development ; Neurons ; physiology

To extract sub-signal of heart period signal (HPS), a new statistical signal processing approach, namely independent component analysis (ICA) was addressed. Electrocardiosignal (ECS) was acquired from ten volunteers. ECS was sampled 8 minutes when the volunteer was in supine position, and then when the same volunteer was in erect position. HPS was extracted from ECS. According to time-delay, HPS was divided into five groups as mixed signals. Five signals were reconstructed into two groups by ICA. The rebuilt signals were transformed by Fourier transformation. One centralized in low frequency (called IC1); the other did in high frequency (called IC2). The power of IC1 was significantly increased (P<0.01) while that of IC2 showed no significant change (P>0.05), and the ratio of IC1 to total power also significantly increased with the change from supine position to erect position. Comparsion between the two postural results reveals that IC1 may express sympathetic activity, and IC2 represents parasympathetic activity. Sympathetic and parasympathetic nervous functions can be evaluated respectively and quantitatively by use of data and graphs from the two decomposed components.
Autonomic Nervous System ; physiology ; Electrocardiography ; Heart Rate ; physiology ; Humans ; Parasympathetic Nervous System ; physiology ; Signal Processing, Computer-Assisted

The autonomic nervous system consists of the sympathetic nervous system and the parasympathetic nervous system. These two systems control the heart and work in a reciprocal fashion to modulate myocardial energy metabolism, heart rate as well as blood pressure. Multiple cardiac pathological conditions are accompanied by autonomic imbalance, characterized by sympathetic overactivation and parasympathetic inhibition. Studies have shown that overactive sympathetic nervous system leads to increased cardiac inflammatory reaction. Orchestrated inflammatory response serves to clear dead cardiac tissue and activate reparative process, whereas excessive inflammation may result in pathological cardiac remodeling. Since the discovery of the α7 nicotinic acetylcholine receptor (α7nAChR)-mediated cholinergic anti-inflammatory pathway (CAP), the protective effects of the parasympathetic nervous system in cardiac inflammation have attracted more attention recently. In this review, we summarized the role and underlying mechanisms of the sympathetic and parasympathetic nervous systems in cardiac inflammation, in order to provide new insight into cardiac inflammatory response in cardiovascular diseases.
Autonomic Nervous System ; physiology ; Heart ; physiopathology ; Humans ; Inflammation ; physiopathology ; Parasympathetic Nervous System ; physiology ; alpha7 Nicotinic Acetylcholine Receptor ; physiology

Cardiac contractility variability (CCV) is a new concept which is introduced in the research field of cardiac contractility in recent years, that is to say, there are some disparities between cardiac contractilities when heart contracts. The changing signals of cardiac contractility contain a plenty of information on the cardiovascular function and disorder. In order to collect and analyze the message, we could quantitatively evaluate the tonicity and equilibrium of cardiac sympathetic nerve and parasympathetic nerve, and the effects of bio-molecular mechanism on the cardiovascular activities. By analyzing CCV, we could further understand the background of human being's heritage characteristics, nerve types, the adjusting mechanism, the molecular biology, and the adjustment of cardiac automatic nerve. With the development of the computing techniques, the digital signal processing method and its application in medical field, this analysis has been progressing greatly. By now, the assessment of CCV, just like the analysis of heart rate variability, is mainly via time domain and frequency domain analysis. CCV is one of the latest research fields in human cardiac signals being scarcely reported in the field of sports medicine; however, its research progresses are of important value for cardiac physiology and pathology in sports medicine and rehabilitation medicine.
Autonomic Nervous System ; physiology ; Exercise ; physiology ; Humans ; Myocardial Contraction ; physiology ; Phonocardiography ; methods ; Signal Processing, Computer-Assisted

In the study the changes of scalp potential and cardiac autonomic nervous system during volitional control of heart beat are explored with the wavelet packet parameters and approximate entropy (ApEn) of Electroencephalogram (EEG) and heart rate variability. The results show that volition can control heart beat and the changes of brain activity are earlier than that of autonomic activity. But its control of heart beat is very different from the motor nervous system because different cortical positions are respectively concerned during the quick and slow control of heart beat. The pre-central areas of brain are correlated with parasympathetic activity by which HR is controlled to slow down. The post-central areas of brain are correlated with sympathetic activity by which HR is controlled to accelerate.
Autonomic Nervous System ; physiology ; Consciousness ; physiology ; Electroencephalography ; Heart Rate ; physiology ; Humans ; Scalp

To evaluate the effect of aerobic and anaerobic endurance training the regulating the function of autonomic nervous system, in order to provide scientific basis for optimizing the project of physical fitness training. Fourty-one healthy young men were randomly divided into aerobic and anaerobic endurance training groups. The training period was 8 weeks. Pre-exercise, 4 weeks and 8 weeks after trained, HRV were measured compared with pre-exercise. The autonomic balance in aerobic endurance group had an increasing parasympathetic activity (HF, HFnu, RMSSD, PNN50, all P was < 0.05) and relatively decreasing sympathetic activity (LFnu). This group showed a parasympathetic predominance (LF/HF) and increase of HRV. While in the anaerobic group there was a relative stabilization with the function of autonomic nervous system. The present study shows that the effect of aerobic and anaerobic endurance training on the autonomic nervous system depends on its intensity. Proper intensity of anaerobic endurance training may be beneficial to improve the adaptability of human body for circumstances as aerobic endurance training.
Adolescent ; Adult ; Autonomic Nervous System ; physiology ; Electrocardiography ; Exercise ; physiology ; Heart Rate ; physiology ; Humans ; Male ; Physical Endurance ; physiology ; Running ; physiology ; Sympathetic Nervous System ; physiology ; Vagus Nerve ; physiology

The characteristics of cardiovascular autonomic nerve system(ANS) modulation during exposure to three different altitudes were compared by time domain, spectral and nonlinear analysis of short-(5 minutes)term heart rate variability (HRV). The standard deviation of all RR intervals (SDNN), the square root of the mean squared differences of successive RR intervals (rMSSD), the percentage of successive interval differences >50 ms (PNN50), low frequency (LF), high frequency power (HF), and total power (TP) at 2800 m were slightly higher than those at 1856 m, but the differences were non-significant statistically. SDNN, rMSSD, LF and HF at 3040 m were significantly lower than those at 1856 m and 2800 m. These results show that parasympathetic nerve activity decreases significantly, and ANS modulation is blunted after exposure to higher altitude. This kind of change of ANS may contribute to further elucidate pathophysiology in body after exposure to high altitude.
Adult ; Altitude ; Autonomic Nervous System ; physiology ; Electrocardiography ; Heart Rate ; physiology ; Humans ; Male

A heart rate variability (HRV)analysis system is presented. The change of the activity of Sympathetic and vagus nerve is evaluated by detecting the parameters of heart rate variability of the tested in different states using the system. The system provides a tool for the study of heart rate variability.
Autonomic Nervous System ; physiology ; Electrocardiography ; instrumentation ; methods ; Equipment Design ; Heart Rate ; physiology ; Signal Processing, Computer-Assisted

The non-stationary interference with the analysis parameters of short-term heart rate variability (HRV) has been studied. The results show that although all considered parameters fluctuate with the lapse of time, only HFnorm and sample entropy (SE) correlate significantly with non-stationary interference. Therefore, the low frequency fluctuations of HRV contain not only the non-stationary interference, but also the intrinsic cardiac dynamic characteristics. Specially, the results of the base-scale entropy (BE) analysis of three groups of people, and of three kinds of noises are contrasted. It is shown that, at the expense of outstanding anti-nonstationarity, BE fails to depict the long range correlation of HRV.
Algorithms ; Autonomic Nervous System ; physiology ; Electrocardiography ; methods ; Entropy ; Heart Rate ; physiology ; Humans ; Signal Processing, Computer-Assisted