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Excess Brain Age in the Sleep Electroencephalogram Predicts Reduced Life Expectancy
Neurobiology of Aging ( IF 3.7 ) Pub Date : 2020-04-01 , DOI: 10.1016/j.neurobiolaging.2019.12.015
Luis Paixao 1 , Pooja Sikka 2 , Haoqi Sun 1 , Aayushee Jain 1 , Jacob Hogan 1 , Robert Thomas 3 , M Brandon Westover 1
Affiliation  

The brain age index (BAI) measures the difference between an individual's apparent "brain age" (BA; estimated by comparing EEG features during sleep from an individual with age norms), and their chronological age (CA); that is BAI = BA-CA. Here, we evaluate whether BAI predicts life expectancy. Brain age was quantified using a previously published machine learning algorithm for a cohort of participants ≥40 years old who underwent an overnight sleep electroencephalogram (EEG) as part of the Sleep Heart Health Study (n = 4877). Excess brain age (BAI >0) was associated with reduced life expectancy (adjusted hazard ratio: 1.12, [1.03, 1.21], p = 0.002). Life expectancy decreased by -0.81 [-1.44, -0.24] years per standard-deviation increase in BAI. Our findings show that BAI, a sleep EEG-based biomarker of the deviation of sleep microstructure from patterns normal for age, is an independent predictor of life expectancy.

中文翻译:


睡眠脑电图中大脑年龄过大预示预期寿命缩短



大脑年龄指数(BAI)测量个体的表观“大脑年龄”(BA;通过比较个体在睡眠期间的脑电图特征与年龄标准来估计)与其实际年龄(CA)之间的差异;即BAI=BA-CA。在这里,我们评估 BAI 是否可以预测预期寿命。使用之前发布的机器学习算法对一组 ≥40 岁的参与者进行脑年龄量化,这些参与者接受了夜间睡眠脑电图 (EEG),作为睡眠心脏健康研究的一部分 (n = 4877)。大脑年龄过大(BAI > 0)与预期寿命缩短相关(调整后的风险比:1.12,[1.03,1.21],p = 0.002)。 BAI 每增加一个标准差,预期寿命就会减少 -0.81 [-1.44, -0.24] 年。我们的研究结果表明,BAI 是一种基于睡眠脑电图的生物标志物,用于衡量睡眠微结构与年龄正常模式的偏差,是预期寿命的独立预测因子。
更新日期:2020-04-01
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