Department of Ethology, Doctoral School of Biology, Institute of Biology, Eötvös Loránd University, Budapest, Hungary.
MTA-ELTE Comparative Ethology Research Group, Budapest, Hungary.
Sci Rep. 2022 Jun 13;12(1):9792. doi: 10.1038/s41598-022-13643-x.
Sleep research greatly benefits from comparative studies to understand the underlying physiological and environmental factors affecting the different features of sleep, also informing us about the possible evolutionary changes shaping them. Recently, the domestic dog became an exceedingly valuable model species in sleep studies, as the use of non-invasive polysomnography methodologies enables direct comparison with human sleep data. In this study, we applied the same polysomnography protocol to record the sleep of dog's closest wild relative, the wolf. We measured the sleep of seven captive (six young and one senior), extensively socialized wolves using a fully non-invasive sleep EEG methodology, originally developed for family dogs. We provide the first descriptive analysis of the sleep macrostructure and NREM spectral power density of wolves using a completely non-invasive methodology. For (non-statistical) comparison, we included the same sleep data of similarly aged dogs. Although our sample size was inadequate to perform statistical analyses, we suggest that it may form the basis of an international, multi-site collection of similar samples using our methodology, allowing for generalizable, unbiased conclusions. As we managed to register both macrostructural and spectral sleep data, our procedure appears to be suitable for collecting valid data in other species too, increasing the comparability of non-invasive sleep studies.
睡眠研究极大地受益于比较研究，以了解影响睡眠不同特征的潜在生理和环境因素，也使我们了解塑造这些特征的可能进化变化。最近，家犬成为睡眠研究中非常有价值的模式物种，因为使用非侵入性多导睡眠图方法可以与人类睡眠数据直接进行比较。在这项研究中，我们应用了相同的多导睡眠图协议来记录狗的近亲狼的睡眠。我们使用最初为家庭犬开发的完全非侵入性睡眠 EEG 方法，测量了七只圈养（六只幼崽和一只成年）、社会化程度很高的狼的睡眠。我们使用完全非侵入性方法提供了狼睡眠的宏观结构和 NREM 光谱功率密度的首次描述性分析。为了（非统计）比较，我们还包括了同龄狗的相同睡眠数据。尽管我们的样本量不足以进行统计分析，但我们建议，它可以作为使用我们的方法进行类似样本的国际多地点收集的基础，从而得出具有普遍性、无偏倚的结论。由于我们成功地记录了宏观结构和光谱睡眠数据，我们的程序似乎也适用于其他物种的有效数据收集，从而增加了非侵入性睡眠研究的可比性。
