A Machine Learning Algorithm to Assess Functional "Brain Age" from an In-Home EEG Sleepband

1个项目摘要 人类的寿命越来越长，导致我们的身体比大脑活得更长。虽然行为的改变和更好的 3对健康状况的管理可以帮助扭转或减缓大脑功能的过早下降， 有症状的成年人没有及早被发现，这些变化何时会产生最显著的积极影响 5冲击力。有效的干预需要在不可逆转的脑损伤发生之前及早发现，但缺乏 6客观、可扩展的工具，用于评估症状前期成年人的脑功能。 7. 8脑年龄(BA)是一种可用于早期检测脑功能恶化的生物标志物。BA反映了 9个人的年龄调整的结构和/或功能的大脑特征，并已被证明可以检测到 10认知障碍。虽然有效，但当前评估方法(例如，MRI， 11多导睡眠图)阻止了BA作为生物标志物的广泛使用。因此，显然有一种未得到满足的需求 12评估BA的新方法。 13 14 NeuroGeneces的BA机器学习(ML)模型，使用家庭睡眠数据，将提供一个客观和 15年龄调整脑功能的可解释测量。在这个第一阶段的STTR项目中，NeuroGeneces将扩大 16通过进行人类受试者研究和验证ML模型的可行性来获得睡眠记录的数据集 17这可以准确地预测使用家庭睡眠脑电头带的认知健康成年人的生物BA。

1 PROJECT SUMMARY 2 Humans are living longer, resulting in our bodies outliving our brains. Although behavioral changes and better 3 management of health conditions can help reverse or slow down premature decline in brain function, pre- 4 symptomatic adults are not identified early enough when these changes would make the most significant positive 5 impact. Effective intervention requires early detection before irreversible brain damage occurs, but there is a lack 6 of objective, scalable tools to assess brain function in pre-symptomatic adults. 7 8 Brain Age (BA) is a biomarker that can be used for early detection of deterioration in brain function. BA reflects 9 an individual’s age-adjusted structural and/or functional brain characteristics and has been shown to detect 10 cognitive impairment. While effective, the cost and inconvenience of current assessment methods (e.g., MRI, 11 polysomnography) prevent widespread usage of BA as a biomarker. Therefore, there is a clear unmet need for 12 a new method for assessing BA. 13 14 NeuroGeneces’ BA machine learning (ML) model, using at-home sleep data, will provide an objective and 15 interpretable measure of age-adjusted brain function. In this Phase I STTR project, NeuroGeneces will expand 16 the dataset of sleep recordings by conducting a Human Subject Study and validate the feasibility of a ML model 17 that accurately predicts biological BA in cognitively healthy adults using an at-home sleep EEG headband.