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功能性和结构性大脑网络的动态网络特征支持老年人视觉工作记忆.

Josh Neudorf1,2, Kelly Shen1,2, Anthony R McIntosh1,2

  • 1Institute for Neuroscience and Neurotechnology, Simon Fraser University, Burnaby, Canada.

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概括
此摘要是机器生成的。

随着年龄的增长,大脑网络动态和结构连接适应以支持视觉工作记忆 (VWM). 特定的网络过渡变得更有效,帮助老年人的认知功能.

关键词:
扩散权重磁共振成像技术的扩散权重磁共振成像动态功能连接的功能连接.健康的衰老健康的衰老网络控制理论 网络控制理论静止状态的功能磁共振成像技术视觉工作记忆 视觉工作记忆

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科学领域:

  • 神经科学是一个神经科学.
  • 认知科学 认知科学
  • 大脑网络动力学

背景情况:

  • 视觉工作记忆 (VWM) 容量和精度随着年龄的增长而下降,在成年早期达到峰值后.
  • 了解大脑网络连接的与年龄相关的变化对于认知健康至关重要.

研究的目的:

  • 调查结构性和功能性大脑连接之间的关系如何在整个生命周期中发生变化,以支持VWM.
  • 为了确定特定年龄的网络动态和VWM性能的结构基础.

主要方法:

  • 分析与不同年龄组VWM相关的功能性大脑网络动态.
  • 网络控制理论模拟以建模结构连接对功能转换的影响.
  • 检查结构连接差异与VWM在整个生命周期中的性能.

主要成果:

  • 默认模式网络和前端-平行网络状态与更好的VWM性能有关.
  • 老年人表现出从视觉/体力运动到注意力网络状态的增强过渡,与更好的VWM相关.
  • 支持这些过渡的结构性连接因年龄而异,年轻人与老年人之间的特定网络更为关键.

结论:

  • 结构性的连接性促进了灵活的功能性大脑动态,支持整个生命周期的VWM.
  • 网络过渡和结构连接中的与年龄相关的适应有助于维护VWM.
  • 调查结果可能有助于采取干预措施,在整个衰老过程中保持VWM功能.