多重需求和默认模式网络在逐个试验的认知控制中的参与
Shinyoung Jung1, Joo Yeon Kim2, Suhyeon Jo3
1Department of Psychological Sciences, Texas Tech University, MS 2051, Lubbock, TX 79409, USA.
Brain sciences
|September 28, 2023
概括
认知控制涉及多重需求网络 (MDN) 和默认模式网络 (DMN). 这项研究表明,这两个网络都编码了任务特征,这表明它们协调有效的认知控制.
科学领域:
- 认知神经科学 认知神经科学
- 神经成像是一种神经成像.
背景情况:
- 适应性行为依赖于认知控制来优先考虑相关的刺激.
- 面对面的多重需求网络 (MDN) 随着任务需求的增加而激活.
- 默认模式网络 (DMN) 通常在认知任务中被禁用.
研究的目的:
- 调查MDN和DMN是否编码类似的任务特征,尽管激活模式不同.
- 探索这些网络在动态认知控制和任务重新配置中的作用.
主要方法:
- 分析了两个独立的神经成像数据集 (n=40).
- 在注意力任务中利用fMRI数据,并逐试重新配置.
- 应用表示相似性分析来解码网络活动中的任务特征.
主要成果:
- 在注意任务期间确认了MDN激活和DMN关闭.
- 从MDN活动中成功解码了任务特征,这与之前的研究一致.
- 关键的是,任务特征也从DMN活动中解码,在快速任务重新配置期间,与MDN一起.
结论:
- MDN和DMN共享对特定任务信息的编码.
- 这些不同的网络动态地协同激活和协同编码信息以支持认知控制.
- 研究结果表明,MDN和DMN之间有协调的功能,可以有效地进行自上而下的控制.
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