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：

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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。