Longitudinal measurements of sleep EEG in adolescence

描述：(申请人提供)青春期现在被认为是一个时期 主要的大脑重组，除了快速的内分泌和身体 发展。在最显著的大脑变化中，总的减少 睡眠和脑三角洲脑电的幅度和丰度的大幅下降 NREM睡眠。青春期的其他大脑变化包括突触消除和 皮质代谢率降低。神经发育模型假设 精神分裂症可能是由这些成熟期的异常引起或显露出来的 流程。白天嗜睡出现在青春期，影响情绪和学校 性能。然而，对白天关系的特定研究对象内 嗜睡对睡眠脑电波形的定量变化尚未得到 据报道。 在我们的知识中还有其他主要的差距。我们不知道受试者内部 三角洲和其他区域脑电波的幅度和入射率的变化率 频率，是否在三角洲的‘喷发’正常发生，形状 年龄曲线，它们与年龄和青春期的关系，以及 个体和性别差异。我们的研究旨在通过以下方式填补这些空白 2个年龄组(9-13岁和12-16岁)的纵向睡眠研究 在变化最快的时期。基线和延长睡眠时间将为 学习两次/年，为期4年。脑电波形将被量化为 FFT-频谱和周期幅度分析(两种最广泛使用的计算机 方法)并结合视觉睡眠分期进行评分。昏昏欲睡将被用来评估 MSLT和行为评级以及情绪将在以下位置进行系统评估 每个时间点。 拟议的研究将有助于填补我们对 人类大脑最显著的成熟变化，它也将测试 关于这些变化的相关因素的具体假设。我们的数据 收购可能会揭示伴随而来的大脑变化，导致 识别新的生物关系。我们的研究还将提供 精神病患者神经发育研究的基准数据 青少年和“高危”人群。

DESCRIPTION: (provided by applicant) Adolescence is now recognized as a period of major brain-reorganization, in addition to rapid endocrine and physical development. Among the most prominent brain changes are reductions in total sleep and a huge decline in the amplitude and abundance of the delta EEG of NREM sleep. Other brain changes in adolescence include synaptic elimination and a reduction in cortical metabolic rate. Neurodevelopmental models posit that schizophrenia may be caused or unmasked by abnormalities in these maturational processes. Daytime sleepiness emerges in adolescence, impacting mood and school performance. However, a specific within-subjectstudy of the relation of daytime sleepiness to quantitative changes in sleep EEG waveforms has not been reported. There are other major gaps in our knowledge. We do not know the within-subject rates of change in the amplitude and incidence of EEG waves in delta and other frequencies, whether 'spurts' in delta decline normally occur, the shapes of the age curves, their relation to age vs. pubertal stage, and the extent of individual and gender differences. Our research aims to fill these gaps by studying sleep longitudinally in 2 age cohorts (ages 9-13 and 12-16 years) during the period of most rapid change. Baseline and extended sleep will be studied twice/yr for 4 years. EEG waveforms will be quantified with FFT-spectral and period amplitude analyses (the 2 most widely used computer methods) and with visual sleep stage scoring. Sleepiness will be assessed with the MSLT and behavioral ratings and mood will be systematically evaluated at each time point. The proposed research will help fill major gaps in our knowledge of one of the most pronounced maturational changes of the human brain, It will also test specific hypotheses regarding the : correlates of these changes. The data we acquire could shed light on concomitant brain changes, leading to the identification of new biological relationships. Our studies will also provide benchmark data for neurodevelopmental studies in psychiatrically ill adolescents and 'at-risk' population.