推理任务中的动态大脑状态:协同激活模式分析
Fatemeh Hasanzadeh1, Christian Habeck2, Yaakov Stern2
1Cognitive Neuroscience Division, Department of Neurology, Columbia University, NY, NY, USA; Gertrude H. Sergievsky Center, Columbia University, NY, NY, USA.
NeuroImage
|August 27, 2025
概括
同激活模式 (CAP) 分析揭示了推理过程中的动态大脑状态. 与任务相关的CAP提高了表现,而老龄化改变了这些模式,影响了认知功能.
科学领域:
- 神经科学
- 认知科学
- 心理学
背景情况:
- 大脑活动显示时间变化, 常常错过传统的fMRI.
- 协同激活模式 (CAP) 分析为研究短暂的大脑状态提供了一个框架.
- 在认知任务,特别是推理中,CAP的研究有限.
研究的目的:
- 在推理任务中调查协同激活模式 (CAP).
- 检查CAP,认知表现和个体差异,如年龄之间的关系.
- 评估CAP对认知参与的功能相关性.
主要方法:
- 在推理任务和休息状态下对303名参与者的fMRI数据进行了CAP分析.
- 使用K-means集群来识别不同的CAP.
- 分析时间指标 (占用,居住时间,过渡) 以及它们与认知表现和年龄的关系.
主要成果:
- 确定了四个不同的CAP;CAP2和CAP3在推理过程中被引入,与视觉,默认模式和感觉运动网络重叠.
- 较长的停留时间和较高的CAP2和CAP3占用率与更好的推理性能相关.
- 老龄化与与任务相关的CAP参与度降低和向基线状态过渡的增加有关.
结论:
- 通过CAP分析捕获的动态大脑状态重构对于推理至关重要.
- CAP分析是研究短暂大脑功能和个体认知差异的宝贵工具.
- 这些发现突出了与年龄相关的大脑动态变化影响认知能力.
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