Longitudinal measurements of sleep EEG in adolescence

青春期睡眠脑电图的纵向测量

• 批准号: 7769475
• 负责人: IRWIN FEINBERG
• 金额: $ 38.27万
• 依托单位: UNIVERSITY OF CALIFORNIA AT DAVIS
• 依托单位国家: 美国
• 财政年份: 2002
• 资助国家: 美国
• 起止时间: 2002-04-17 至 2012-02-29
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7769475
• 关键词: 15 year old; 18 year old; 6 year old; Adolescence; Adolescent; Age; Area; Beds; Behavior; Benchmarking; Biological; Brain; Child; Childhood; Cohort Studies; Collaborations; Computer Analysis; Data; Data Collection; Deceleration; Development; Electroencephalography; Electrophysiology (science); Employee Strikes; Endocrine; Enrollment; Event; Fourier Transform; Frequencies; Goals; Homeostasis; Human; Incidence; Individual; Longitudinal Studies; Magnetic Resonance Imaging; Measurement; Measures; Mental Depression; Mental disorders; Methods; Modeling; Neurosciences; Patients; Pattern; Performance; Physiology; Polysomnography; Process; Public Health; REM Sleep; Research; Research Personnel; Schedule; Schizophrenia; Schools; Sex Characteristics; Sleep; Slow-Wave Sleep; Staging; Suggestion; Synapses; Task Performances; Testing; Thick; Time; United States National Institutes of Health; Visual; Work; aged; boys; brain metabolism; cohort; data sharing; density; girls; gray matter; high risk; indexing; interest; neurophysiology; non rapid eye movement; programs; sex; vigilance

DESCRIPTION (provided by applicant): Adolescence is now recognized as a period of major brain reorganization as well as rapid endocrine and physical development. Among the most prominent brain changes is a huge decline in the delta (<4 Hz) EEG of NREM sleep. Our ongoing study uses spectral and period-amplitude analyses to examine sleep and EEG longitudinally in semiannual 4-night recordings in two cohorts: C9 (N=30) ages 9-13 and C12 (N=38) ages 12-16. Data from the first two years yielded answers to important questions but raised new questions that require extending the study of these cohorts and adding a younger cohort, C6 (N=30) ages 6-10. Contrary to cross-sectional findings, our longitudinal results from C9 show little within-subject delta decline between 9 and 11 years. In contrast, C12 data show a strong delta decline across 12-14 years and levels were significantly lower in girls suggesting that they initiated the maturation process earlier. A striking result that contradicts previous suggestions is that, with age controlled, the delta decline was unrelated to pubertal (Tanner) status. The delta decline was also unrelated to the concurrent changes in sleep schedule. In C12 the increase in daytime sleepiness was related to the decline in delta but was not related to changes in sleep schedule. Extending the current study will enable us to determine within-individual patterns of delta decline from its start through its deceleration at the end of adolescence. We will also determine over a wider age range whether this decline is related to: pubertal development, the emergence of daytime sleepiness, performance on a daytime psychomotor vigilance task, and the ability to extend sleep. We have initiated a data sharing collaboration with Dr. Jay Giedd who has longitudinal MRI measures of cortical thickness over the same age ranges. The new 6 yr old cohort will provide quantitative benchmarks for sleep EEG across childhood over an age range where cortical grey matter is increasing. These data are the first within-S measurements of the decline in delta power across adolescence. We hypothesize that this decline is one component of a pervasive maturational reorganization during human adolescence. This reorganization is driven by synaptic pruning and includes a marked decline in waking brain metabolism. We have also hypothesized that errors in this process can give rise to mental illness, notably schizophrenia. Elucidating the normative trajectory of the delta changes across adolescence could provide an index of the related maturational brain events which could provide the platform necessary for the eventual study of patients at high-risk for schizophrenia. In addition, these data have implications for sleep homeostasis and for the public health implications for adolescent sleep schedules.

描述（由申请人提供）：青春期现在被认为是大脑主要重组以及内分泌和身体快速发育的时期。最显着的大脑变化是 NREM 睡眠的 Delta（<4 Hz）EEG 大幅下降。我们正在进行的研究使用频谱和周期幅度分析来纵向检查两个队列半年 4 晚记录的睡眠和脑电图：9-13 岁的 C9 (N=30) 和 12-16 岁的 C12 (N=38)。前两年的数据给出了重要问题的答案，但也提出了新的问题，需要扩大这些队列的研究并增加一个更年轻的队列，即 6-10 岁的 C6 (N=30)。与横断面研究结果相反，我们的 C9 纵向结果显示，9 至 11 年间受试者内 Delta 几乎没有下降。相比之下，C12 数据显示 12 至 14 年间 Delta 大幅下降，女孩的水平显着较低，表明她们更早开始成熟过程。与之前的建议相矛盾的一个惊人结果是，在控制年龄的情况下，Delta 下降与青春期（坦纳）状态无关。 Delta 下降也与睡眠时间表的同时变化无关。在 C12 中，白天嗜睡的增加与 Delta 的下降有关，但与睡眠时间表的变化无关。扩展当前的研究将使我们能够确定个体内部的 Delta 下降模式，从青春期开始到青春期末期的减速。我们还将在更广泛的年龄范围内确定这种下降是否与以下因素有关：青春期发育、白天嗜睡的出现、白天精神运动警戒任务的表现以及延长睡眠的能力。我们已经与 Jay Giedd 博士启动了数据共享合作，他对同一年龄段的皮质厚度进行了纵向 MRI 测量。新的 6 岁队列将为皮质灰质不断增加的整个儿童时期的睡眠脑电图提供定量基准。这些数据是对青春期德尔塔功率下降的首次 S 内测量。我们假设这种衰退是人类青春期普遍成熟重组的一个组成部分。这种重组是由突触修剪驱动的，包括清醒时大脑新陈代谢的显着下降。我们还假设，这个过程中的错误可能会导致精神疾病，特别是精神分裂症。阐明青春期δ变化的规范轨迹可以提供相关成熟大脑事件的指数，这可以为精神分裂症高危患者的最终研究提供必要的平台。此外，这些数据对睡眠稳态和青少年睡眠时间表的公共卫生影响也有影响。