Data from: Multivariate classification of multichannel long-term electrophysiology data identifies different sleep stages in fruit flies, Part 14 of 16

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.