在任务交换机上的默认模式网络激活反映了心理任务集结构
Ashley X Zhou1, John Duncan1, Daniel J Mitchell1
1MRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, United Kingdom.
Imaging neuroscience (Cambridge, Mass.)
|August 13, 2025
概括
默认模式网络 (DMN) 显示在任务切换期间活动增加. 它的反应取决于任务组的学习顺序,而不是任务的数量,这表明大脑中的等级组织.
科学领域:
- 神经科学是一个神经科学.
- 认知神经科学 认知神经科学
背景情况:
- 传统观点认为默认模式网络 (DMN) 是负任务的.
- 最近的研究表明,在苛刻的任务切换过程中,DMN活动增加.
- 在交换机期间调节DMN活动的因素仍然不清楚.
研究的目的:
- 调查DMN对任务切换的响应是否取决于任务集的复杂性或基于学习顺序的抽象任务分组.
- 探索底层任务切换和认知控制的神经机制.
主要方法:
- 功能磁共振成像 (fMRI) 用于测量大脑活动.
- 参与者执行了以不同的数量和学习顺序进行的以外部为重点的任务.
- 应用多变量解码来分析DMN表示.
主要成果:
- 在任务切换器上激活核心DMN独立于当前相关任务的数量.
- 任务组学习的顺序显著影响了DMN响应.
- 多变量解码在核心DMN中展示了任务,域和基于指令的分组的层次表示.
结论:
- 在任务切换期间,默认模式网络的参与是由学习任务规则的层次结构调节的.
- 随着任务复杂性的增加,DMN可能在管理更高层次的组织信息块方面发挥作用.
- 这些发现挑战了DMN的纯任务负面模型,突出了它在认知灵活性和复杂任务管理中的作用.
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