Kis Anna, Szakadát Sára, Kovács Enikő, Gácsi Márta, Simor Péter, Gombos Ferenc, Topál József, Miklósi Adám, Bódizs Róbert
Department of Ethology, Eötvös University, H-1117 Pázmány P. stny. 1/c, Budapest, Hungary; Research Centre for Natural Sciences, Hungarian Academy of Sciences, H-1117 Magyar tudósok krt. 2, Budapest, Hungary.
Department of Ethology, Eötvös University, H-1117 Pázmány P. stny. 1/c, Budapest, Hungary; Department of Cognitive Science, Budapest University of Technology and Economics, H-1111 Egry József u. 1, Budapest, Hungary; Institute of Behavioural Sciences, Semmelweis University, H-1089 Nagyvárad tér 4, Budapest, Hungary.
Physiol Behav. 2014 May 10;130:149-56. doi: 10.1016/j.physbeh.2014.04.004. Epub 2014 Apr 12.
Recently dogs (Canis familiaris) have been demonstrated to be a promising model species for studying human behavior as they have adapted to the human niche and developed human-like socio-cognitive skills. Research on dog behavior, however, has so far almost exclusively focused on awake functioning. Here we present a self-developed non-invasive canine polysomnography method that can easily be applied to naive pet dogs. N=22 adult pet dogs (with their owners present) and N=12 adult humans participated in Study I. From these subjects, N=7 dogs returned on two more occasions for Study II. In Study I, we give a descriptive analysis of the sleep electroencephalogram of the dog and compare it to human data. In order to validate our canine polysomnography method in Study II, we compare the sleep macrostructure and the EEG spectrum of dogs after a behaviorally active day without sleep versus passive day with sleep. In Study I, we found that dogs' sleep EEG resembled that of human subjects and was generally in accordance with previous literature using invasive technology. In Study II, we show that similarly to previous results on humans daytime load of novel experiences and sleep deprivation affects the macrostructural and spectral aspects of subsequent sleep. Our results validate the family dog as a model species for studying the effects of pre-sleep activities on the EEG pattern under natural conditions and, thus, broaden the perspectives of the rapidly growing fields of canine cognition and sleep research.
最近，狗（家犬）已被证明是研究人类行为的一个很有前景的模型物种，因为它们已经适应了人类的生态位，并发展出了类似人类的社会认知技能。然而，迄今为止，对狗行为的研究几乎完全集中在清醒状态下的功能。在此，我们展示了一种自行开发的非侵入性犬类多导睡眠图方法，该方法可轻松应用于未经训练的宠物狗。22只成年宠物狗（主人在场）和12名成年人参与了研究I。在这些受试者中，7只狗又返回进行了另外两次研究II。在研究I中，我们对狗的睡眠脑电图进行了描述性分析，并将其与人类数据进行了比较。为了在研究II中验证我们的犬类多导睡眠图方法，我们比较了在无睡眠的行为活跃日与有睡眠的被动日之后狗的睡眠宏观结构和脑电图频谱。在研究I中，我们发现狗的睡眠脑电图与人类受试者的相似，并且总体上与之前使用侵入性技术的文献一致。在研究II中，我们表明，与之前关于人类的研究结果类似，新奇体验和睡眠剥夺的白天负荷会影响后续睡眠的宏观结构和频谱方面。我们的结果验证了宠物狗作为一种模型物种，可用于研究自然条件下睡前活动对脑电图模式的影响，从而拓宽了快速发展的犬类认知和睡眠研究领域的视野。
