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Comparative Study
. 2020 Jul 18;41(4):437-443.
doi: 10.24272/j.issn.2095-8137.2020.056.

Potential use of actigraphy to measure sleep in monkeys: comparison with behavioral analysis from videography

Affiliations
Comparative Study

Potential use of actigraphy to measure sleep in monkeys: comparison with behavioral analysis from videography

Dong-Dong Qin et al. Zool Res. .

Abstract

Sleep is indispensable for human health, with sleep disorders initiating a cascade of negative consequences. As our closest phylogenetic relatives, non-human primates (NHPs) are invaluable for comparative sleep studies and exhibit tremendous potential for improving our understanding of human sleep and related disorders. Previous work on measuring sleep in NHPs has mostly used electroencephalography or videography. In this study, simultaneous videography and actigraphy were applied to observe sleep patterns in 10 cynomolgus monkeys ( Macaca fascicularis) over seven nights (12 h per night). The durations of wake, transitional sleep, and relaxed sleep were scored by analysis of animal behaviors from videography and actigraphy data, using the same behavioral criteria for each state, with findings then compared. Here, results indicated that actigraphy constituted a reliable approach for scoring the state of sleep in monkeys and showed a significant correlation with that scored by videography. Epoch-by-epoch analysis further indicated that actigraphy was more suitable for scoring the state of relaxed sleep, correctly identifying 97.57% of relaxed sleep in comparison with video analysis. Only 34 epochs (0.13%) and 611 epochs (2.30%) were differently interpreted as wake and transitional sleep compared with videography analysis. The present study validated the behavioral criteria and actigraphy methodology for scoring sleep, which can be considered as a useful and a complementary technique to electroencephalography and/or videography analysis for sleep studies in NHPs.

Keywords: Actigraphy; Non-human primates; Sleep; Videography.

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Figures

Figure 1
Figure 1. Locomotor activity, correlations, and Bland-Altman plots

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