Modeling Sleep and Wake Bouts in Drosophila Melanogaster
Abstract
Adequate sleep restores vital processes required for health and well-being; but the function and regulation of sleep is not well understood. Unfortunately, a definition of adequate sleep is unclear. On an hours-long timescale, consolidated and cycling sleep results in better health and performance outcomes. At shorter timescales, older studies report conflicting results regarding the relationship between sleep and wake bout durations. One approach to this problem has been to simply analyze the distribution of bout durations. While informative, this method eliminates the time relationship between bouts, which may be important. Here, we develop a model that describes the relationship between sleep and wake bout durations using the model organism, Drosophila melanogaster, which exhibits behavioral and molecular homology to human sleep. We present an exploratory analysis of the data to gain a better understanding of the sleep bout duration distribution by considering a broader range of potential distributions than considered in previous studies. We use the results of the distribution analysis to develop a model for sleep bout durations in the fly based upon their past sleep and wake history and find that this relationship should not be ignored.
Recommended Citation
G. R. Olbricht et al., "Modeling Sleep and Wake Bouts in Drosophila Melanogaster," Proceedings of the Kansas State University Conference on Applied Statistics in Agriculture, 2014, pp. 58 - 70, New Prairie Press, Jan 2014.
Meeting Name
Kansas State University Conference on Applied Statistics in Agriculture, 2014
Department(s)
Mathematics and Statistics
Second Department
Biological Sciences
Keywords and Phrases
Sleep, Drosophila Melanogaster, Sleep-Wake Transitions, Weibull Distribution, Modeling
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2014 New Prairie Press, All rights reserved.
Creative Commons Licensing
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.
Publication Date
01 Jan 2014