The Science of Sleep

Explore the science of sleep in this 28-minute conference talk from GOTO Copenhagen 2018. Delve into the function of sleep, consequences of poor sleep, and how short and long sleep durations relate to poorer health. Learn about chronotypes, the Two Process model, and the neurobiology of wakefulness. Discover the flip-flop switch model, circadian regulation, and the 2017 Nobel Prize-winning research on molecular mechanisms regulating circadian clocks. Examine factors affecting sleep, including light, temperature, and external noise. Investigate sleep changes with age, indicators of hyperarousal in insomnia, and sleep-related breathing disorders. Gain insights into neurological disorders associated with sleep problems and explore the societal and industrial potential for improving sleep. Understand polygraphic measures during wake and sleep, and learn about optimizing machine learning performance for sleep staging.

Intro
Function of sleep
Consequences of poor sleep
Short and long sleep are related to poorer health
Chronotype affect health
The Two Process model
Neurobiology of wakefulness- Ascending Reticular Activating System
The flip-flop switch model
Circadian regulation
2017 Nobel prize for the discovery of molecular (bene) mechanism regulating the circadian clock
Biological rhythm
Illustration of how circadian clocks allow predictive homeostasis and receive reactive homeostatic feedback
Resetting of the clock
Factors that may affect sleep
Light and sleep sleep
Regulation of sleep by temperature (Drosophila)
Night-time temperature and human sleep loss in a changing climate
External noise and sleep quality
Road traffic noise and human health
Sleep changes with age
Complaints of sleep problems with age
Factors involved in sleep disturbances in the elderly
Indicators of hyperarousal in insomnia
Sleep-related breathing disorders
Neurological disorders associated with sleep problems causing sleep disturbances
Societal and industrial potential for improving sleep
Polygraphic measures during wake and sleep
Optimizing Machine Learning performance for sleep staging
Narcoleptic subject versus normal subject: narcolepsy show higher fragmentation
Conclusion