Characterizing Sleep Spindles in Sheep.
Schneider, Will T
Nicol, Alister U
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Schneider, W. T., Vas, S., Nicol, A. U., & Morton, A. J. (2020). Characterizing Sleep Spindles in Sheep.. eNeuro, 7 (2)https://doi.org/10.1523/ENEURO.0410-19.2020
Sleep spindles are distinctive transient patterns of brain activity that typically occur during non-rapid eye movement (NREM) sleep in humans and other mammals. Thought to be important for the consolidation of learning, they may also be useful for indicating the progression of aging and neurodegenerative diseases. The aim of this study was to characterize sleep spindles in sheep (Ovis aries). We recorded electroencephalographs wirelessly from six sheep over a continuous period containing 2 nights and a day. We detected and characterized spindles using an automated algorithm. We found that sheep sleep spindles fell within the classical range seen in humans (10-16 Hz), but we did not see a further separation into fast and slow bands. Spindles were detected predominantly during NREM sleep. Spindle characteristics (frequency, duration, density, topography) varied between individuals, but were similar within individuals between nights. Spindles that occurred during NREM sleep in daytime were indistinguishable from those found during NREM sleep at night. Surprisingly, we also detected numerous spindle-like events during unequivocal periods of wake during the day. These events were mainly local (detected at single sites), and their characteristics differed from spindles detected during sleep. These "wake spindles" are likely to be events that are commonly categorized as "spontaneous alpha activity" during wake. We speculate that wake and sleep spindles are generated via different mechanisms, and that wake spindles play a role in cognitive processes that occur during the daytime.
Learning, Spectral analysis, Slow Waves, Automated Detection, Awake Eeg, Wake Spindles
External DOI: https://doi.org/10.1523/ENEURO.0410-19.2020
This record's URL: https://www.repository.cam.ac.uk/handle/1810/304086
Attribution 4.0 International
Licence URL: https://creativecommons.org/licenses/by/4.0/