Department of Neurology, Massachusetts General Hospital, Boston, MA, USA; Henry and Allison McCance Center for Brain Health, Massachusetts General Hospital, MA, USA.
Department of Neurology, Massachusetts General Hospital, Boston, MA, USA.
Neurobiol Aging. 2023 Apr;124:60-70. doi: 10.1016/j.neurobiolaging.2023.01.006. Epub 2023 Jan 19.
Both sleep and wake encephalograms (EEG) change over the lifespan. While prior studies have characterized age-related changes in the EEG, the datasets span a particular age group, or focused on sleep and wake macrostructure rather than the microstructure. Here, we present sex-stratified data from 3372 community-based or clinic-based otherwise neurologically and psychiatrically healthy participants ranging from 11 days to 80 years of age. We estimate age norms for key sleep and wake EEG parameters including absolute and relative powers in delta, theta, alpha, and sigma bands, as well as sleep spindle density, amplitude, duration, and frequency. To illustrate the potential use of the reference measures developed herein, we compare them to sleep EEG recordings from age-matched participants with Alzheimer's disease, severe sleep apnea, depression, osteoarthritis, and osteoporosis. Although the partially clinical nature of the datasets may bias the findings towards less normal and hence may underestimate pathology in practice, age-based EEG reference values enable objective screening of deviations from healthy aging among individuals with a variety of disorders that affect brain health.
睡眠和觉醒脑电图(EEG)在整个生命周期中都会发生变化。虽然先前的研究已经描述了与年龄相关的 EEG 变化,但这些数据集仅涵盖特定年龄组,或者仅关注睡眠和觉醒的宏观结构,而不是微观结构。在这里,我们展示了来自 3372 名基于社区或诊所的、无神经和精神病史的健康参与者的性别分层数据,年龄从 11 天到 80 岁不等。我们估计了关键睡眠和觉醒 EEG 参数的年龄规范,包括 delta、theta、alpha 和 sigma 波段的绝对和相对功率,以及睡眠纺锤波密度、振幅、持续时间和频率。为了说明本文中开发的参考指标的潜在用途,我们将其与年龄匹配的阿尔茨海默病、严重睡眠呼吸暂停、抑郁症、骨关节炎和骨质疏松症患者的睡眠 EEG 记录进行了比较。尽管数据集的部分临床性质可能会使研究结果偏向于不太正常,从而在实践中低估病理学,但基于年龄的 EEG 参考值可用于对各种影响大脑健康的疾病患者的健康衰老偏离进行客观筛查。