Figorilli Michela, Lanza Giuseppe, Congiu Patrizia, Lecca Rosamaria, Casaglia Elisa, Mogavero Maria P, Puligheddu Monica, Ferri Raffaele
Neurology Unit, Department of Medical Sciences and Public Health, University of Cagliari and AOU Cagliari, Monserrato, 09042 Cagliari, Italy.
Sleep Disorders Center, Department of Medical Sciences and Public Health, University of Cagliari, Asse Didattico E., SS 554 Bivio Sestu, Monserrato, 09042 Cagliari, Italy.
Brain Sci. 2021 Nov 30;11(12):1588. doi: 10.3390/brainsci11121588.
REM sleep without atonia (RSWA) is the polysomnographic (PSG) hallmark of rapid eye movement (REM) sleep behavior disorder (RBD), a feature essential for the diagnosis of this condition. Several additional neurophysiological aspects of this complex disorder have also recently been investigated in depth, which constitute the focus of this narrative review, together with RSWA. First, we describe the complex neural network underlying REM sleep and its muscle atonia, focusing on the disordered mechanisms leading to RSWA. RSWA is then described in terms of its polysomnographic features, and the methods (visual and automatic) currently available for its scoring and quantification are exposed and discussed. Subsequently, more recent and advanced neurophysiological features of RBD are described, such as electroencephalography during wakefulness and sleep, transcranial magnetic stimulation, and vestibular evoked myogenic potentials. The role of the assessment of neurophysiological features in the study of RBD is then carefully discussed, highlighting their usefulness and sensitivity in detecting neurodegeneration in the early or prodromal stages of RBD, as well as their relationship with other proposed biomarkers for the diagnosis, prognosis, and monitoring of this condition. Finally, a future research agenda is proposed to help clarify the many still unclear aspects of RBD.
快速眼动睡眠期无张力缺失(RSWA)是快速眼动睡眠行为障碍(RBD)的多导睡眠图(PSG)特征,是诊断该疾病的一个重要特征。最近,人们还对这种复杂疾病的其他几个神经生理学方面进行了深入研究,这些方面与RSWA一起构成了本叙述性综述的重点。首先,我们描述了快速眼动睡眠及其肌肉无张力缺失背后的复杂神经网络,重点关注导致RSWA的紊乱机制。然后从多导睡眠图特征方面描述RSWA,并介绍和讨论目前可用于其评分和量化的方法(视觉和自动)。随后,描述了RBD更新的和先进的神经生理学特征,如清醒和睡眠期间的脑电图、经颅磁刺激和前庭诱发肌源性电位。然后仔细讨论了神经生理学特征评估在RBD研究中的作用,强调了它们在检测RBD早期或前驱期神经退行性变方面的有用性和敏感性,以及它们与其他用于该疾病诊断、预后和监测的生物标志物的关系。最后,提出了一个未来研究议程,以帮助阐明RBD许多仍不清楚的方面。