ArticleScience advances2024
Multivariate classification of multichannel long-term electrophysiology data identifies different sleep stages in fruit flies.
Article in Science advances, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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16 citing papers in PubMed, 29 citations in OpenAlex.
- Peroxisomal import is circadian in glia and regulates sleep and lipid metabolism.PLoS biology · 2026Article
- Revolutionizing Sleep Medicine: The Impact of Machine Learning on Diagnosis, Treatment, and Personalized Care.Health science reports · 2026Article
- A day sleep promoting role of phototransduction inNeurobiology of sleep and circadian rhythms · 2026Article
- Recognition of distinct sleep states in Drosophila uncovers previously obscured homeostatic and circadian control of sleep.Current biology : CB · 2026Article
- Inferring the genetic basis of sleep states inbioRxiv : the preprint server for biology · 2026Article
- Current Evidence for Sleep States inCurrent sleep medicine reports · 2026Review
- Recognition of distinct sleep states inbioRxiv : the preprint server for biology · 2025Article
- The exploration of consciousness in insects.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025Review
- Article
- Wakefulness can be distinguished from general anesthesia and sleep in flies using a massive library of univariate time series analyses.PLoS biology · 2025Article
- Long-term multichannel recordings in Drosophila flies reveal altered predictive processing during sleep compared with wake.The Journal of experimental biology · 2025Article
- Dynamics of glia and neurons regulate homeostatic rest, sleep and feeding behavior in Drosophila.Nature neuroscience · 2025Article
- FlyVISTA, an integrated machine learning platform for deep phenotyping of sleep inScience advances · 2025Article
- Four SpsP neurons are an integrating sleep regulation hub inScience advances · 2024Article
- Circadian Rhythm and Sleep Analyses in a Fruit Fly Model of Fragile X Syndrome Using a Video-Based Automated Behavioral Research System.International journal of molecular sciences · 2024Article
- FlyVISTA, an Integrated Machine Learning Platform for Deep Phenotyping of Sleep inbioRxiv : the preprint server for biology · 2024Article
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Authors and funding
4 authors at 2 institutions in 3 countries.
Funding
Abstract
Identifying different sleep stages in humans and other mammals has traditionally relied on electroencephalograms. Such an approach is not feasible in certain animals such as invertebrates, although these animals could also be sleeping in stages. Here, we perform long-term multichannel local field potential recordings in the brains of behaving flies undergoing spontaneous sleep bouts. We acquired consistent spatial recordings of local field potentials across multiple flies, allowing us to compare brain activity across awake and sleep periods. Using machine learning, we uncover distinct temporal stages of sleep and explore the associated spatial and spectral features across the fly brain. Further, we analyze the electrophysiological correlates of microbehaviors associated with certain sleep stages. We confirm the existence of a distinct sleep stage associated with rhythmic proboscis extensions and show that spectral features of this sleep-related behavior differ significantly from those associated with the same behavior during wakefulness, indicating a dissociation between behavior and the brain states wherein these behaviors reside.
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