使用年龄预测对身体和大脑健康指标的独特和常见差异进行剖析
Dani Beck1,2,3, Ann-Marie G de Lange3,4,5, Tiril P Gurholt1
1NORMENT, Division of Mental Health and Addiction, Oslo University Hospital & Institute of Clinical Medicine, University of Oslo, Oslo, Norway.
Human brain mapping
|April 22, 2024
概括
这项研究揭示了从身体健康指标预测的身体年龄与大脑年龄有很强的相关性. 然而,不同的健康因素会影响身体年龄,突出显示系统间的个体衰老差异.
科学领域:
- 老年学是一门学科.
- 生物医学工程 生物医学工程
- 神经科学是一个神经科学.
背景情况:
- 衰老是一个复杂的多系统过程,衰老的速度各不相同.
- 了解衰老中的个体差异对于健康干预至关重要.
研究的目的:
- 为了研究身体和大脑衰老之间的关系.
- 确定有助于多系统衰老异质性的独特和共同因素.
主要方法:
- 在英国生物库数据上使用机器学习回归模型 (N=32,593).
- 从MRI数据 (白质和灰质) 中估计的大脑年龄.
- 预测使用心脏代谢,人体测量和身体成分测量的身体年龄.
主要成果:
- 身体年龄预测的准确性与大脑年龄模型相比较.
- 在身体和大脑年龄之间观察到强烈的相关性 (0.62-0.64).
- 特定的健康特征 (压缩性血压,肌肉脂肪透,手握力,肌肉体积) 不同地影响了身体年龄的预测.
结论:
- 身体健康和大脑健康密切相关.
- 个体健康特征独特地促进了超出脑图像的衰老轨迹.
- 这些发现强调了生物系统中衰老的异质性质.
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