大脑时钟捕捉到地理位置不同的人口中衰老和痴呆的多样性和差异
Sebastian Moguilner1,2,3, Sandra Baez4,5,6, Hernan Hernandez1
1Latin American Brain Health Institute, Universidad Adolfo Ibañez, Santiago de Chile, Chile.
Nature medicine
|August 26, 2024
概括
脑钟显示不同人群的脑衰老加速. 社会经济因素,污染和健康差异显著预测大脑年龄差距更大,特别是在拉丁美洲和加勒比地区.
科学领域:
- 神经科学是一个神经科学.
- 人工智能的人工智能
- 公共卫生 公共卫生
背景情况:
- 大脑钟估计大脑年龄,提供对大脑健康和神经退行性疾病的见解.
- 地理,社会经济地位,性别和神经退行等各种因素对大脑年龄差异的影响在很大程度上仍未被探索.
研究的目的:
- 通过深度学习研究全球多样性对大脑年龄差距估计的影响.
- 确定不同人群和神经退行性疾病中加速大脑衰老的关键预测因素.
主要方法:
- 分析了来自15个国家的5306名参与者的多式神经成像数据集 (fMRI和EEG).
- 开发一个深度学习架构来模拟大脑年龄差距,考虑更高层次的交互.
- 包括健康的对照组和患有轻度认知障碍,阿尔茨海默病和前性痴呆症的个人.
主要成果:
- 深度学习模型显示,与非LAC人口相比,拉丁美洲和加勒比地区 (LAC) 人口的大脑年龄较大,与前后网络相关.
- 社会经济不平等,污染和健康差异是大脑年龄差距增加的重要预测因素,特别是在LAC.
- 从健康的对照组观察到轻微的认知障碍和阿尔茨海默病,从健康的对照组观察到不断升级的大脑年龄差距,LAC女性的差距更大.
结论:
- 这项研究提供了一个定量框架,用于理解不同人群中加速大脑衰老的情况.
- 研究结果强调了社会经济和环境因素在大脑衰老轨迹中的关键作用.
- 开发的深度学习架构有效地捕捉了大脑年龄差异的多样性,为未来的研究和临床应用提供了信息.
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