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Social motor and cognitive development through the lens of sleep network dynamics in infants and toddlers between 12 and 30 months of age

机译:通过12到30个月大的婴幼儿的睡眠网络动态来了解社交运动和认知发展

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摘要

Widespread change in behavior and the underlying brain network substrate is a hallmark of early development. Sleep plays a fundamental role in this process. Both slow waves and spindles are key features of nonrapid eye movement sleep (NREM) that exhibit pronounced developmental trajectories from infancy to adulthood. Yet, these prominent features of NREM sleep are poorly understood in infants and toddlers in the age range of 12 to 30 months. Moreover, it is unknown how network dynamics of NREM sleep are associated with outcomes of early development. Addressing this gap in our understanding of sleep during development will enable the subsequent study of pathological changes in neurodevelopmental disorders. The aim of the current study was to characterize the sleep topography with high-density electroencephalography in this age group. We found that δ, θ, and β oscillations and sleep spindles exhibited clear developmental changes. Low δ and high θ oscillations correlated with motor, language, and social skills, independent of age. These findings suggest an important role of network dynamics of NREM sleep in cortical maturation and the associated development of skills during this important developmental period.
机译:行为的广泛变化和潜在的大脑网络基础是早期发展的标志。睡眠在此过程中起着基本作用。慢波和纺锤体都是非快速眼动睡眠(NREM)的关键特征,其从婴儿期到成年期都有明显的发育轨迹。然而,对于12至30个月大的婴幼儿,NREM睡眠的这些突出特征了解甚少。此外,还不清楚NREM睡眠的网络动力学与早期发育的结果如何相关。解决我们在发育过程中对睡眠的理解上的这种差距将使神经发育障碍的病理变化的后续研究成为可能。本研究的目的是通过该年龄组的高密度脑电图来表征睡眠地形。我们发现δ,θ和β振荡和睡眠纺锤表现出明显的发育变化。低δ和高θ振荡与运动,语言和社交技巧有关,与年龄无关。这些发现表明,在这个重要的发育时期,NREM睡眠的网络动力学在皮质成熟以及相关技能发展中起着重要作用。

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