大脑功能和结构的关节衰老模式使用27,793个样本揭示
Yuhui Du1, Ruotong Li1, Ying Xing1
1School of Computer and Information Technology, Shanxi University, Taiyuan, China.
Research (Washington, D.C.)
|September 29, 2025
概括
衰老会影响大脑的结构和功能. 多模式分析揭示了大脑网络和灰质中的协同和补偿性变化,与认知衰退和反应时间有关.
科学领域:
- 神经科学是一个神经科学.
- 衰老研究研究 衰老研究
- 脑部成像 脑部成像
背景情况:
- 老化显著改变大脑的结构和功能.
- 功能网络连接 (FNC) 和灰色物质体积 (GMV) 在老化过程中的变化之间的相互作用尚未完全理解.
研究的目的:
- 开发一个统一的框架,用多式模式的大脑数据来预测年龄.
- 识别和验证FNC和GMV与衰老相关的变化.
- 研究关节功能结构衰老模式及其与认知衰退的关联.
主要方法:
- 利用了一大批英国生物库数据集 (27,793名健康受试者,年龄49-76岁).
- 采用单模和多模方法进行年龄预测.
- 开发了一种新的分析,以揭示FNC和GMV的关节衰老模式.
主要成果:
- 多模式年龄预测的表现优于单一模式.
- 在小脑,额头极,状圈和前皮层中发现FNC和GMV的协同下降.
- 在部区域观察到矛盾的变化 (增加FNC,减少GMV),表明补偿.
- 在特定区域的FNC和GMV的联合下降与反应时间相关.
结论:
- 多模式大脑分析对于理解衰老至关重要.
- 衰老涉及到不同的关节功能结构变化,具有特定区域的模式.
- 这些变化与认知功能有关,为与年龄相关的认知恶化提供了见解.
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