Multivariate classification of multichannel long-term electrophysiology data identifies different sleep stages in fruit flies DOI Creative Commons
Sridhar R. Jagannathan, Rhiannon Jeans, Matthew N. Van De Poll

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2023, Volume and Issue: unknown

Published: June 13, 2023

ABSTRACT Sleep is observed in most animals, which suggests it subserves a fundamental process associated with adaptive biological functions. However, the evidence to directly associate sleep specific function lacking, part because not single many animals. In humans and other mammals, different stages have traditionally been identified using electroencephalograms (EEGs), but such an approach feasible animals as insects. Here, we perform long-term multichannel local field potential (LFP) recordings brains of behaving flies undergoing spontaneous bouts. We developed protocols allow for consistent spatial LFPs across multiple flies, allowing us compare LFP activity awake periods further same induced sleep. Using machine learning, uncover existence distinct temporal explore spectral features fly brain. Further, analyze electrophysiological correlates micro-behaviours certain stages. confirm stage rhythmic proboscis extensions show that this sleep-related behavior differ significantly from those during wakefulness, indicating dissociation between brain states wherein these behaviors reside.

Language: Английский

Stem cell-specific ecdysone signaling regulates the development of dorsal fan-shaped body neurons and sleep homeostasis DOI Creative Commons
Adil R. Wani, Budhaditya Chowdhury,

Jenny Luong

et al.

Current Biology, Journal Year: 2024, Volume and Issue: 34(21), P. 4951 - 4967.e5

Published: Oct. 8, 2024

Highlights•Sleep-regulating 23E10 dFB neurons originate from late larval type II NSCs•DL1 and DM1 NSCs specifically produce neurons•Ecdysone signaling in is essential for neuronal fate•E93 regulates fate sleep homeostasisSummaryComplex behaviors arise neural circuits that assemble diverse cell types. Sleep a conserved behavior survival, yet little known about how the nervous system generates neuron types of sleep-wake circuit. Here, we focus on specification Drosophila 23E10-labeled dorsal fan-shaped body (dFB) long-field tangential input project to layers neuropil central complex. We use lineage analysis genetic birth dating identify two bilateral stem cells (NSCs) generate neurons. show adult express ecdysone-induced protein 93 (E93) loss ecdysone or E93 results their misspecification. Finally, knockdown impairs behavior. Our provide insight into extrinsic hormonal acts diversity required These findings suggest some disorders might derive defects cell-specific temporal neurodevelopmental programs.Graphical abstract

Language: Английский

Citations

2
Multivariate classification of multichannel long-term electrophysiology data identifies different sleep stages in fruit flies DOI Creative Commons
Sridhar R. Jagannathan, Rhiannon Jeans, Matthew N. Van De Poll

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2023, Volume and Issue: unknown

Published: June 13, 2023

ABSTRACT Sleep is observed in most animals, which suggests it subserves a fundamental process associated with adaptive biological functions. However, the evidence to directly associate sleep specific function lacking, part because not single many animals. In humans and other mammals, different stages have traditionally been identified using electroencephalograms (EEGs), but such an approach feasible animals as insects. Here, we perform long-term multichannel local field potential (LFP) recordings brains of behaving flies undergoing spontaneous bouts. We developed protocols allow for consistent spatial LFPs across multiple flies, allowing us compare LFP activity awake periods further same induced sleep. Using machine learning, uncover existence distinct temporal explore spectral features fly brain. Further, analyze electrophysiological correlates micro-behaviours certain stages. confirm stage rhythmic proboscis extensions show that this sleep-related behavior differ significantly from those during wakefulness, indicating dissociation between brain states wherein these behaviors reside.

Language: Английский

Citations

4