About this Research Topic
The non-invasive study of the cardiovascular autonomic system through measurements of heart rate and blood pressure variability (HRV and BPV, respectively), has proven to be an important marker for monitoring training status, avoid overtraining, and assisting in exercise prescription in the sports field. However, the autonomic control depends on its complex interaction with several subsystems, such as the respiratory system. Since both parasympathetic and sympathetic nerves have respiratory-modulated activity patterns, it is expected that respiration modulates heart rate and blood pressure dynamics. Therefore, the cardiorespiratory coupling (CRC) based on the study of interaction between cardiovascular and respiratory time series, using linear and nonlinear mathematical approaches, has emerged as a complementary measure to investigate the mechanisms responsible for generating HRV and BPV patterns, driven by respiration. Although the physiological and practical contribution of CRC is still being investigated, these results may be useful for a better understanding of the cardiovascular control, its responses to physical exercise, and relationship with better health outcomes.
This research topic aims to expand our knowledge on the different non-invasive approaches and models for estimating CRC using network-based measures considering the oscillations of cardiovascular and respiratory time series at rest and/or during induced physiological stresses. Furthermore, our focus is on the relationship between CRC indexes and health outcomes in pathological conditions, as well as physical performance in elite and recreational athletes. We welcome original research to investigate the feasibility, challenges and clinical applicability of this measure, physiological relevance, review of the state of the art and opinions for new insights, in order to improve the framework of exercise physiology based on CRC analysis.
For this research topic we would like to address specific topics such as:
• linear and nonlinear approaches to estimate the CRC
• applicability of the CRC for healthcare professionals
• CRC indexes to predict health outcomes in pathological conditions
• relationship of CRC with physical performance
• to discuss new insights into the physiological mechanisms and components involved in CRC patterns.
We ask for original research articles, case reports, opinions, perspectives, data reports, reviews, systematic reviews, or mini reviews. This research topic welcomes contributions from Network Physiology of Exercise, Networks in the Cardiovascular System and Networks in the Respiratory System sections.
This research topic aims to expand our knowledge on the different non-invasive approaches and models for estimating CRC using network-based measures considering the oscillations of cardiovascular and respiratory time series at rest and/or during induced physiological stresses. Furthermore, our focus is on the relationship between CRC indexes and health outcomes in pathological conditions, as well as physical performance in elite and recreational athletes. We welcome original research to investigate the feasibility, challenges and clinical applicability of this measure, physiological relevance, review of the state of the art and opinions for new insights, in order to improve the framework of exercise physiology based on CRC analysis.
For this research topic we would like to address specific topics such as:
• linear and nonlinear approaches to estimate the CRC
• applicability of the CRC for healthcare professionals
• CRC indexes to predict health outcomes in pathological conditions
• relationship of CRC with physical performance
• to discuss new insights into the physiological mechanisms and components involved in CRC patterns.
We ask for original research articles, case reports, opinions, perspectives, data reports, reviews, systematic reviews, or mini reviews. This research topic welcomes contributions from Network Physiology of Exercise, Networks in the Cardiovascular System and Networks in the Respiratory System sections.
Keywords: Autonomic nervous system, heart rate variability, blood pressure variability, baroreflex, respiratory dynamics, physical performance, sports medicine, cardiovascular oscillations, sports physiology, network physiology
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
