Modelling the effects of sleep deprivation – from physiological to biochemical analyses
conference paper
Sleep deprivation is unavoidable in certain professions but negatively affects well-being, health and performance. We are interested in the relation between sleep deprivation and cognitive performance. While sleep deprivation decreases cognitive performance in general, it does so at very different degrees between individuals. As of yet, we cannot predict decreased performance due to sleep deprivation, and we do not understand what causes this decrease. If we better understand the reasons, we may predict (momentary) resilience of individuals to sleep deprivation and develop (personalized) counter measures against the negative effects. Our working hypothesis is that sleep deprivation-induced inflammatory processes underlie cognitive decline due to sleep deprivation. These processes are reflected by biochemical analytes such as cytokines, lipids and cortisol in blood and saliva. Skin conductance and heart rate may be of interest as well since they reflect the level of arousal which may also have explanatory value. The advantage of the physiological measures is that they are non-invasive and continuous.
In the current study, we compare 1 night sleep deprived and control individuals on a number of physiological, biochemical and performance markers. To evaluate the biochemical and physiological effect of sleep deprivation, we use machine learning models to select features that best describe the difference between sleep deprived and control participants.
In the current study, we compare 1 night sleep deprived and control individuals on a number of physiological, biochemical and performance markers. To evaluate the biochemical and physiological effect of sleep deprivation, we use machine learning models to select features that best describe the difference between sleep deprived and control participants.
TNO Identifier
1013470
Publisher
Society for Neuroadaptive Technology
Source title
The Third Neuroadaptive Technology Conference, NAT 2022, October 9 – October 12, 2022,Lübbenau, Germany
Place of publication
S.L.
Pages
91-92