大脑年龄作为病态与健康衰老的生物标志物 - - 一项REMEMBER研究
Mandy M J Wittens1,2,3, Stijn Denissen4,5, Diana M Sima3,4
1Department of Biomedical Sciences, University of Antwerp, Antwerp, Belgium.
Alzheimer's research & therapy
|June 14, 2024
概括
一个新的大脑年龄预测模型显示了作为临床工具的潜力. 这个大脑年龄指标可以帮助评估生活方式干预措施.
科学领域:
- 神经成像和计算神经科学.
- 神经退行性疾病的生物标志物.
背景情况:
- 大脑年龄预测模型为评估大脑健康提供了一种新的方法.
- 现有的方法需要对临床效用和干预评估进行验证.
研究的目的:
- 评估大脑年龄预测模型作为大脑状况的可解释变量的临床价值.
- 探索大脑年龄作为生活方式干预研究的潜在结果指标.
主要方法:
- 利用来自REMEMBER研究 (N=742) 的T1加权MRI数据,包括认知健康,SCD,MCI和AD痴呆症受试者.
- 使用自动化大脑体积测量软件 (icobrain dm) 来提取大脑结构数据.
- 开发了一种结合体积特征和性别的线性模型来预测大脑年龄和大脑预测年龄差异 (BPAD).
主要成果:
- 轻度认知障碍 (MCI) 和阿尔茨海默氏症痴呆症 (ADD) 患者的脑年龄相对于时间年龄增加.
- 大脑年龄在阿尔茨海默病谱中表现出优越的分类准确性,与BPAD和时间年龄相比.
- 在大量饮酒者中观察到BPAD的增加,这表明生活方式和大脑衰老之间存在联系.
结论:
- 大脑年龄和BPAD显示出作为大脑健康指标的希望.
- 这些指标有可能用于评估生活方式修改和对大脑健康的干预措施的有效性.
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