Analysis of interconnection between central nervous and cardiovascular systems

М А Жуков

doi:10.20535/2312-1807.2014.19.1.142301

Abstract

In the paper the aspects of collaboration and interconnection between central nervous and cardiovascular systems are described. Existing methods to estimate the connectivity between HRV and EEG signals and corresponding up-to-date studies are reviewed. It can be affirmed that there is an apparent interconnection between central nervous and cardiovascular systems on the basis of examined papers. But the definite method of assessment of this interconnection capable to take into account the underlying manner of this connection is yet to be defined. It was determined that further research should be directed into examination of non-linear connectivity between HRV and EEG signals, methods for non-linear connectivity assessment and comparison of their performance. On this basis the new ways to improve the current approaches are expounded.Reference 29, figures 1.

Highlights

The study of interconnection between central nervous system (CNS) and cardiovascular system (CVS) is of great importance for understanding their physiology, control and regulation
Heart is dually innervated by the autonomic nervous system such that relative increases in sympathetic activity are associated with heart rate increases and relative increases in parasympathetic activity are associated with heart rate decreases [14]
Cardiac changes preceded EEG changes by about 5 min. These findings demonstrate the existence of an inverse coupling between oscillations in delta wave activity and heart rate variability

Summary

Introduction

The study of interconnection between central nervous system (CNS) and cardiovascular system (CVS) is of great importance for understanding their physiology, control and regulation. Up to date research include following areas of problems: − detecting and assessment of physiological state changes e.g. altered states of consciousness as in sleep and meditation; − use of heart rate variability in assessment of sleep quality and sleep stages; − estimation of driver drowsiness; − quantification of respiratory sinus arrhythmia (RSA); − development of a reliable tool for diagnosis of various diseases, such as sleep disorders, epilepsy etc. The role of brainstem in controlling of cardiac output through autonomic nervous system has been well established. There is still a lot of uncertainty on what kind of roles the different parts of cerebral cortex have on the regulation of cardiac system [13]

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