Wake EEG oscillation dynamics reflect both sleep pressure and brain maturation across childhood and adolescence.

Sophia Snipes, Valeria Jaramillo, Elena Krugliakova, Carina Volk, Melanie Furrer, Mirjam Studler, Monique LeBourgeois, Salome Kurth, Oskar G Jenni, Reto Huber
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Abstract

An objective measure of brain maturation is highly insightful for monitoring both typical and atypical development. Slow wave activity, recorded in the sleep electroencephalogram (EEG), reliably indexes age-related changes in sleep pressure as well as deficits related to developmental disorders such as attention-deficit hyperactivity disorder (ADHD). We aimed to determine whether wake EEG measured before and after sleep could index the same developmental changes in sleep pressure, using data collected from 163 participants 3-25 years old. We analyzed age- and sleep-dependent changes in two measures of oscillatory activity, amplitudes and density, as well as two measures of aperiodic activity, offsets and exponents. We then compared these wake measures to sleep slow wave amplitudes and slopes. Finally, we compared wake EEG in children with ADHD (N=58) to neurotypical controls. Of the four wake measures, only oscillation amplitudes consistently exhibited the same changes as sleep slow waves. Wake amplitudes decreased with age, decreased after sleep, and this overnight decrease decreased with age. Furthermore, wake amplitudes were significantly related to both sleep slow wave amplitudes and slopes. Wake oscillation densities decreased overnight in children but increased overnight in adolescents and adults. Aperiodic offsets decreased linearly with age, decreased after sleep, and were significantly related to sleep slow wave amplitudes. Aperiodic exponents also decreased with age, but increased after sleep. No wake measure showed significant effects of ADHD. Overall, our results indicate that wake oscillation amplitudes, and to some extent aperiodic offsets, behave like sleep slow waves across sleep and development. At the same time, overnight changes in oscillation densities independently reflect some yet-unknown shift in neural activity around puberty.

清醒时的脑电图振荡动态反映了儿童和青少年时期的睡眠需求和大脑成熟。
对大脑成熟度进行客观测量,对监测典型和非典型发育都非常有帮助。睡眠脑电图(EEG)记录的慢波活动能可靠地反映大脑可塑性随年龄的变化,以及与发育障碍(如注意力缺陷多动障碍(ADHD))有关的缺陷。遗憾的是,测量睡眠脑电图需要耗费大量资源,对参与者来说也是一种负担。因此,我们希望确定清醒时的脑电图是否也能反映大脑可塑性的发育变化。我们分析了从 163 名 3-25 岁的参与者处收集到的一夜睡眠前后的高密度清醒脑电图。我们比较了振荡脑电图活动的两个测量指标--振幅和密度,以及非周期性活动的两个测量指标--截距和斜率。此外,我们还比较了多动症患者(8-17 岁,58 人)和神经典型对照组的这些测量指标。我们发现,觉醒振荡振幅的表现与睡眠慢波活动相同:振幅随年龄增长而降低,在睡眠后降低,这种夜间降低随年龄增长而降低。振荡密度在很大程度上也与年龄有关,儿童的振荡密度在一夜之间减少,而青少年和成年人的振荡密度在一夜之间增加。虽然非周期性截距和斜率都随年龄呈线性下降,但截距在一夜之间减少,斜率在一夜之间增加。总之,我们的研究结果表明,唤醒振荡振幅与发育和睡眠需求有关,而振荡密度的夜间变化则反映了青春期前后神经活动的某种未知变化。醒着时的测量结果均未显示多动症的显著影响,这表明醒着时的脑电图测量虽然更容易记录,但不如睡眠时的敏感。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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