Department of Physiology, Anatomy and Genetics, University of Oxford, Sherrington Building, Sherrington Rd, Oxford OX1 3PT, UK.
Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, 43 Vassar St, Cambridge, MA 02139, USA.
Sci Adv. 2024 Sep 6;10(36):eadn6247. doi: 10.1126/sciadv.adn6247.
Here, we characterized the dynamics of sleep spindles, focusing on their damping, which we estimated using a metric called oscillatory-Quality (o-Quality), derived by fitting an autoregressive model to electrophysiological signals, recorded from the cortex in mice. The o-Quality of sleep spindles correlates weakly with their amplitude, shows marked laminar differences and regional topography across cortical regions, reflects the level of synchrony within and between cortical networks, is strongly modulated by sleep-wake history, reflects the degree of sensory disconnection, and correlates with the strength of coupling between spindles and slow waves. As most spindle events are highly localized and not detectable with conventional low-density recording approaches, o-Quality thus emerges as a valuable metric that allows us to infer the spread and dynamics of spindle activity across the brain and directly links their spatiotemporal dynamics with local and global regulation of brain states, sleep regulation, and function.
在这里，我们描述了睡眠纺锤波的动力学，重点关注其阻尼，我们使用一种称为振荡质量（o-Quality）的指标来估计，该指标通过对皮质层记录的电生理信号进行自回归模型拟合得出。睡眠纺锤波的 o-Quality 与振幅弱相关，在皮层区域的不同层和区域具有明显的差异，反映了皮层网络内部和之间的同步水平，受睡眠-觉醒历史的强烈调节，反映了感觉隔离的程度，并与纺锤波和慢波之间的耦合强度相关。由于大多数纺锤波事件具有高度的局域性，无法通过传统的低密度记录方法检测到，因此 o-Quality 成为一种有价值的指标，可以推断纺锤波活动在大脑中的传播和动态，并直接将其时空动态与大脑状态的局部和全局调节、睡眠调节和功能联系起来。
