网络可控性的年龄相关差异通过大规模大脑网络的冗余来减轻
William Stanford1, Peter J Mucha2, Eran Dayan3
1Biological and Biomedical Sciences Program, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Communications biology
|June 7, 2024
概括
大脑网络的控制随着年龄的增长而下降,特别是在关键领域. 大脑网络的冗余性有助于在健康的衰老过程中保持控制和认知功能.
科学领域:
- 神经科学是一个神经科学.
- 网络科学 网络科学
- 衰老研究研究 衰老研究
背景情况:
- 老化的大脑表现出显著的拓变化.
- 在衰老过程中保持强大的大脑网络控制的机制尚未得到充分理解.
研究的目的:
- 研究结构性大脑网络可控性的年龄相关差异.
- 确定可能减轻与年龄有关的变化的拓特征.
- 评估对认知功能的影响.
主要方法:
- 利用了来自480名认知完整的参与者 (年龄40-90岁) 的扩散MRI数据.
- 分析了结构性大脑网络平均可控性的年龄相关差异.
- 使用多步路径分析量化网络冗余.
主要成果:
- 发现与年龄相关的平均可控性下降,特别是在控制枢纽和前端平行/默认模式网络.
- 证明网络冗余减轻了拓变化对可控性的影响.
- 表明网络可控性,冗余性和灰色物质量独特地预测认知功能.
结论:
- 冗余性对于保持强大的大脑网络控制在衰老中至关重要.
- 冗余性在健康衰老期间在认知功能中发挥着重要作用.
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