Wake EEG oscillation dynamics reflect both sleep need and brain maturation across childhood and adolescence.
Wake EEG oscillation dynamics reflect both sleep need and brain maturation across childhood and adolescence.
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唤醒脑电图振荡动态反映了儿童期和青春期的睡眠需求和大脑成熟度。
DOI：
10.1101/2024.02.24.581878
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发表时间：
2024
期刊：
影响因子：
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通讯作者：
Huber,Reto
中科院分区：
文献类型：
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作者：
Snipes,Sophia;Krugliakova,Elena;Jaramillo,Valeria;Volk,Carina;Furrer,Melanie;Studler,Mirjam;LeBourgeois,Monique;Kurth,Salome;Jenni,OskarG;Huber,Reto
大脑成熟的客观测量对于监测典型和非典型发育都是非常有洞察力的。睡眠脑电图（EEG）中记录的慢波活动可靠地指示了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））相关的缺陷。不幸的是，测量睡眠EEG对参与者来说是资源密集型的和繁重的。因此，我们的目的是确定唤醒EEG是否同样可以指示大脑可塑性的发育变化。我们分析了从163名3-25岁的参与者中收集的高密度唤醒EEG，在一夜睡眠之前和之后。我们比较了两个措施的振荡脑电活动，振幅和密度，以及两个措施的非周期性活动，截距和斜率。此外，我们比较了ADHD患者（8-17岁，N=58）与神经型对照组比较。我们发现，唤醒振荡幅度表现出与睡眠慢波活动相同的行为：幅度随着年龄的增长而下降，睡眠后下降，这种夜间下降随着年龄的增长而下降。振荡密度也有很大的年龄依赖性，在儿童中一夜之间下降，在青少年和成人中一夜之间增加。而非周期性截距和斜率随年龄线性下降，截距下降过夜，斜率增加过夜。总的来说，我们的研究结果表明，唤醒振荡幅度跟踪发育和睡眠需求，振荡密度的夜间变化反映了青春期周围神经活动的一些未知变化。没有唤醒措施显示ADHD的显着影响，因此表明唤醒EEG测量，虽然更容易记录，但不如睡眠期间敏感。
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 changes in brain plasticity with age, as well as deficits related to developmental disorders such as attention-deficit hyperactivity disorder (ADHD). Unfortunately, measuring sleep EEG is resource-intensive and burdensome for participants. We therefore aimed to determine whether wake EEG could likewise index developmental changes in brain plasticity. We analyzed high-density wake EEG collected from 163 participants 3–25 years old, before and after a night of sleep. We compared two measures of oscillatory EEG activity, amplitudes and density, as well as two measures of aperiodic activity, intercepts and slopes. Furthermore, we compared these measures in patients with ADHD (8–17 y.o., N=58) to neurotypical controls. We found that wake oscillation amplitudes behaved the same as sleep slow wave activity: amplitudes decreased with age, decreased after sleep, and this overnight decrease decreased with age. Oscillation densities were also substantially age-dependent, decreasing overnight in children and increasing overnight in adolescents and adults. While both aperiodic intercepts and slopes decreased linearly with age, intercepts decreased overnight, and slopes increased overnight. Overall, our results indicate that wake oscillation amplitudes track both development and sleep need, and overnight changes in oscillation density reflect some yet-unknown shift in neural activity around puberty. No wake measure showed significant effects of ADHD, thus indicating that wake EEG measures, while easier to record, are not as sensitive as those during sleep.