This webinar was the second session of the ‘Network Physiology: Mapping Physiological Networks in Health and Disease’ webinar series. This series also included webinars on Network Physiology: Overview, Network Physiology in Respiratory Diseases and Critical Care and Network Physiology in Liver Failure. 

This event has now passed, so registration is now closed. You can watch the webinar recording below.

Watch the full webinar series playlist

Extreme environment physiology is the study of how humans adapt to and survive in environments that present extreme physical, chemical, or biological challenges. These environments include conditions that deviate significantly from what is considered normal or optimal for life, such as extreme temperatures, extreme pressures, or limited oxygen availability (e.g., high altitude). Understanding the integrated physiological response to these extreme conditions is essential for optimizing performance, developing effective protective and monitoring systems, and advancing our knowledge of human adaptability and resilience under stress. Network physiology holds promise for mapping the complex interactions among different physiological components during exposure to extreme environments, such as hypoxia.  

Recent research, inspired by information theory, has enabled the measurement of interactions between components of the cardiorespiratory system using non-invasively recorded physiological signals. In this webinar, we discussed the potential applications of network physiology in extreme environments. We also reviewed how principles of information theory, such as entropy analysis, provide analytical methods for quantifying the flow of information between different physiological signals. Additionally, we showcased the results of a recent study that demonstrates the development of a non-invasive method, based on information theory principles, to visualize integrated cardiorespiratory responses to various physiological stressors, including hypoxia, exercise, and sleep deprivation. 

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Registration closes at 23:59 GMT on Monday 24 March 2025.