轻度认知障碍个体中被破坏的能量和热景观:来自网络控制理论的见解
Dara Neumann1, Qolamreza R Razlighi2, Yaakov Stern3
1College of Agriculture and Life Sciences, Cornell University, Ithaca, New York, USA.
Human brain mapping
|December 22, 2025
概括
轻度认知障碍 (MCI) 显示大脑能量使用和复杂性的改变. 与健康对照组相比,MCI患者在边缘网络中表现出较低的过渡能量和减少的全球.
科学领域:
- 神经科学是一个神经科学.
- 认知科学 认知科学
- 医疗成像医学成像
背景情况:
- 在轻度认知障碍 (MCI) 中,大脑的功能活动组织仍然不完全理解.
- 网络控制理论 (NCT) 和分析为量化大脑动态和能量景观提供了互补的方法.
研究的目的:
- 调查MCI和健康对照 (HC) 个体之间的大脑能量和热带景观的差异.
- 在MCI中探索大脑能量,和神经病理标志物 (粉样β和) 之间的关联.
主要方法:
- 来自499名高血压和55名MCI患者的功能性MRI (fMRI) 数据使用k-means集群分析,以识别大脑活动状态.
- 应用网络控制理论 (NCT) 来计算状态之间的过渡能量 (TE).
- 测量了fMRI时间序列和PET衍生的粉样β (Aβ) 和沉积的 entropy. 线性模型用于比较和关联分析.
主要成果:
- 与HC相比,MCI患者在边缘网络中表现出较低的过渡能量 (调整后p = 0.028).
- 在MCI患者和HC患者中观察到全球的显著下降 (p = 7.29e-7).
- 全球Aβ的增加与MCI患者的全球的增加正相关 (ρ = 0.632,p = 0.041).
结论:
- 在MCI中,下边缘网络过渡能量可能反映神经退行或补偿机制.
- 在MCI中减少的全球表明大脑复杂性的改变.
- 研究结果强调了早期认知障碍中大脑网络动态和能量格局的潜在变化.
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