Brain age from the electroencephalogram of sleep
Brain age from the electroencephalogram of sleep
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DOI：
10.1016/j.neurobiolaging.2018.10.016
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发表时间：
2019-02-01
影响因子：
4.2
通讯作者：
Westover, M. Brandon
中科院分区：
文献类型：
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作者：
Sun, Haoqi;Paixao, Luis;Westover, M. Brandon
人的睡眠脑电图（EEG）随着年龄的增长而发生深刻的变化。这些变化可以被概念化为“脑年龄（BA）”，它可以与实足年龄进行比较，以反映偏离正常衰老的程度。在这里，我们开发了一个可解释的机器学习模型来预测基于2个大型睡眠脑电图数据集的BA：马萨诸塞州总医院（MGH）睡眠实验室数据集（N = 2532，年龄18-80）；以及睡眠心脏健康研究（SHHS, N = 1974；年龄40-80岁）。该模型得出MGH数据集中健康参与者的BA和实足年龄（CA）之间的平均绝对偏差为7.6岁。作为验证，SHHS的一个子集包含间隔5.2年的纵向脑电图，显示BA平均增加5.4年。与健康对照组相比，患有严重神经或精神疾病的参与者表现出平均过量的BA或“脑年龄指数”（BAI = BA- ca） 4年。高血压和糖尿病患者的平均寿命为3.5年。这一发现提高了使用睡眠脑电图作为健康大脑衰老的潜在生物标志物的前景。(C) 2018爱思唯尔公司版权所有。
The human electroencephalogram (EEG) of sleep undergoes profound changes with age. These changes can be conceptualized as "brain age (BA)," which can be compared to chronological age to reflect the degree of deviation from normal aging. Here, we develop an interpretable machine learning model to predict BA based on 2 large sleep EEG data sets: the Massachusetts General Hospital (MGH) sleep lab data set (N = 2532; ages 18-80); and the Sleep Heart Health Study (SHHS, N = 1974; ages 40-80). The model obtains a mean absolute deviation of 7.6 years between BA and chronological age (CA) in healthy participants in the MGH data set. As validation, a subset of SHHS containing longitudinal EEGs 5.2 years apart shows an average of 5.4 years increase in BA. Participants with significant neurological or psychiatric disease exhibit a mean excess BA, or "brain age index" (BAI = BA-CA) of 4 years relative to healthy controls. Participants with hypertension and diabetes have a mean excess BA of 3.5 years. The findings raise the prospect of using the sleep EEG as a potential biomarker for healthy brain aging. (C) 2018 Elsevier Inc. All rights reserved.