Department of Psychology, University of Arizona, Tucson, Arizona, USA.
Department of Psychiatry, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
J Sleep Res. 2023 Dec;32(6):e13845. doi: 10.1111/jsr.13845. Epub 2023 Feb 7.
Insomnia disorder (chronic sleep continuity disturbance) is a debilitating condition affecting 5%-10% of the adult population worldwide. To date, researchers have attempted to model insomnia in animals through breeding strategies that create pathologically short-sleeping individuals or with drugs and environmental contexts that directly impose sleeplessness. While these approaches have been invaluable for identifying insomnia susceptibility genes and mapping the neural networks that underpin sleep-wake regulation, they fail to capture concurrently several of the core clinical diagnostic features of insomnia disorder in humans, where sleep continuity disturbance is self-perpetuating, occurs despite adequate sleep opportunity, and is often not accompanied by significant changes in sleep duration or architecture. In the present review, we discuss these issues and then outline ways animal models can be used to develop approaches that are more ecologically valid in their recapitulation of chronic insomnia's natural aetiology and pathophysiology. Conditioning of self-generated sleep loss with these methods promises to create a better understanding of the neuroadaptations that maintain insomnia, including potentially within the infralimbic cortex, a substrate at the crossroads of threat habituation and sleep.
失眠障碍(慢性睡眠连续性障碍)是一种使人虚弱的病症,影响着全球 5%-10%的成年人口。迄今为止,研究人员试图通过以下策略在动物身上建立失眠模型:培育病理性的少眠个体,或使用药物和环境条件直接造成失眠。虽然这些方法对于鉴定失眠易感性基因和绘制睡眠-觉醒调节的神经网络非常有价值,但它们无法同时捕捉到失眠障碍的几个核心临床诊断特征,即睡眠连续性障碍是自我延续的,尽管有足够的睡眠机会,但仍会发生,而且通常不会伴随着睡眠时间或结构的显著变化。在本综述中,我们讨论了这些问题,然后概述了如何使用动物模型来开发更具生态有效性的方法,以重现慢性失眠的自然病因和病理生理学。通过这些方法对自我产生的睡眠剥夺进行条件训练,有望更好地了解维持失眠的神经适应,包括潜在的在边缘下皮层,这是威胁习惯化和睡眠的交汇点。