Data from: Multivariate classification of multichannel long-term electrophysiology data identifies different sleep stages in fruit flies, Part 16 of 16
Data files
Jan 17, 2024 version files 92.11 GB
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DrosSponSleep_SciAdvances2023_16_lfp_01.zip
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DrosSponSleep_SciAdvances2023_16_lfp_02.zip
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DrosSponSleep_SciAdvances2023_16_video_01.zip
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DrosSponSleep_SciAdvances2023_16_video_02.zip
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README.md
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 with a specific function is lacking, in part because sleep is not a single process in many animals. In humans and other mammals, different sleep stages have traditionally been identified using electroencephalograms (EEGs), but such an approach is not feasible in different animals such as insects. Here, we perform long-term multichannel local field potential (LFP) recordings in the brains of behaving flies undergoing spontaneous sleep bouts. We developed protocols to allow for consistent spatial recordings of LFPs across multiple flies, allowing us to compare the LFP activity across awake and sleep periods and further compare the same to induced sleep. Using machine learning, we uncover the existence of distinct temporal stages of sleep and explore the associated spatial and spectral features across the fly brain. Further, we analyze the electrophysiological correlates of micro-behaviours 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.
README
Data from: Multivariate classification of multichannel long-term electrophysiology data identifies different sleep stages in fruit flies, Part 16 of 16
https://doi.org/10.5061/dryad.6wwpzgn4z
Description of the data and file structure
This is a part of the multi-part dataset containing local field potential (lfp) recordings and video data of 16 Drosophila melanogaster
flies.
This part contains data from 23_13032019_SponSleep_LFP
Dataset contents
Each dataset (after collation for individual fly using software below) consists of a specific spontaneous sleep recording for each fly. For e.g. 23_13032019_SponSleep_LFP contains lfp and video recorded from a particular drosophila on 13-03-2019. Within each folder there are two subfolders.
- lfp: contains two further subfolders:
- folder ending with
_Calib
contains lfp data recorded when calibration (electrode insertion) was performed as a single block. - folder ending with
_LFP
contains lfp data of the full recording, either as a single block or as multiple blocks (1 block per recording hour).
- folder ending with
- video: contains movies in the form of
.avi
files and for each frame of the corresponding movie a.csv
file containing recorded time of each frame. The columns of the.csv
file contain: year, month, date, hour, date, hour, minutes, seconds, microseconds and number of the frame in the corresponding columnsYear,Month,Date,Hour,Mins,Seconds,usec,nFrames
. Some recordings also contain files with_Setup
and_Calib
indicating videos recorded during setup and calibration of the experiment.
Code/Software
To extract/use this part of a multi-part dataset, please refer to https://doi.org/10.5281/zenodo.10277443