大脑时钟捕捉到老龄化和痴呆症的多样性和差异
Sebastian Moguilner1,2,3, Sandra Baez4,5, Hernan Hernandez1
1Latin American Brain Health Institute, Universidad Adolfo Ibañez, Santiago de Chile, Chile.
Research square
|July 9, 2024
概括
大脑钟显示拉丁美洲的大脑衰老加速,与社会经济因素和神经退行性疾病有关. 这项研究量化了多种因素如何影响大脑年龄差距,突出了大脑健康的差异.
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,提供对大脑健康和疾病的见解.
- 地理,社会经济地位和性别等各种因素对大脑年龄差距 (BAG) 的影响仍然不清楚.
研究的目的:
- 研究多式联络多样性对大脑年龄差距 (BAG) 的影响.
- 开发和验证使用fMRI和EEG数据计算BAG的深度学习架构.
主要方法:
- 分析了来自15个国家的5306名参与者的数据,其中包括7个拉丁美洲国家 (LAC).
- 开发了BAG的深度学习模型,使用功能磁共振成像 (fMRI) 和脑电图 (EEG) 数据.
- 研究了BAG与社会经济因素,神经退行性疾病和人口学变量之间的关联.
主要成果:
- 与非LAC模型相比,拉丁美洲 (LAC) 模型显示大脑年龄较大,与前后网络相关.
- 社会经济不平等和健康差异显著预测了BAG的增加,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,观察到BAG增加的明显梯度.
- 与男性相比,LAC的女性在控制和阿尔茨海默病组中显示出更大的BAG.
结论:
- 多模式多样性,特别是社会经济因素和地理位置,显著影响大脑年龄差距.
- 开发的深度学习框架量化了不同人群和疾病状态中的加速大脑衰老.
- 研究结果强调需要解决社会经济和健康差异,以促进全球大脑健康.
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