Networks in sleep under physiological and pathological conditions

Physiological systems in the human body interact with each other throughout life and show specific patterns during sleep. These interconnected patterns are present from birth and are shaped by various physiological conditions during sleep (e.g., sleep stages) and in disease (e.g., sleep apnea, insomnia, periodic limb movements). For example, breathing is an important rhythm driver in the brain and cardiovascular system; there are complex interactions. The study of cardiopulmonary networks provides insights into network evolution and provides clues for monitoring health and disease states. The emergence of consumer sleep technologies adds a new dimension to the dynamic measurement of physiological system couplings and networked interactions.

Network physiology has been documented since the beginning of physiological studies. However, its use in clinical practice has been limited. This Research Topic aims to bring together laboratory and bedside studies to demonstrate the potential of analyzing system connectivity (e.g. cardiopulmonary network) during sleep.

This Research Topic welcomes a wide range of contributions, including studies of development, physiology, integration across the neuraxis (including the central nervous system), cardiopulmonary coupling, brainstem mechanisms, regulation, disease patterns, and measurement techniques (e.g., wearable/approachable technology). and diagnostic applications.

Manuscripts that include, but are not limited to, original research and targeted reviews are encouraged.

Keywords: brainstem, cardiopulmonary, cardiovascular, carotid body, central, coupling, oscillatory, respiratory, peripheral, sleep apnea, variability, 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 forward an out-of-scope manuscript to a more appropriate section or journal at any stage of peer review.

Physiological systems in the human body interact with each other throughout life and show specific patterns during sleep. These interconnected patterns are present from birth and are shaped by various physiological conditions during sleep (e.g., sleep stages) and in disease (e.g., sleep apnea, insomnia, periodic limb movements). For example, breathing is an important rhythm driver in the brain and cardiovascular system; there are complex interactions. The study of cardiopulmonary networks provides insights into network evolution and provides clues for monitoring health and disease states. The emergence of consumer sleep technologies adds a new dimension to the dynamic measurement of physiological system couplings and networked interactions.

Network physiology has been documented since the beginning of physiological studies. However, its use in clinical practice has been limited. This Research Topic aims to bring together laboratory and bedside studies to demonstrate the potential of analyzing system connectivity (e.g. cardiopulmonary network) during sleep.

This Research Topic welcomes a wide range of contributions, including studies of development, physiology, integration across the neuraxis (including the central nervous system), cardiopulmonary coupling, brainstem mechanisms, regulation, disease patterns, and measurement techniques (e.g., wearable/approachable technology). and diagnostic applications.

Manuscripts that include, but are not limited to, original research and targeted reviews are encouraged.

Keywords: brainstem, cardiopulmonary, cardiovascular, carotid body, central, coupling, oscillatory, respiratory, peripheral, sleep apnea, variability, 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 forward an out-of-scope manuscript to a more appropriate section or journal at any stage of peer review.