期刊
NATURE REVIEWS NEUROSCIENCE
卷 22, 期 8, 页码 503-513出版社
NATURE PORTFOLIO
DOI: 10.1038/s41583-021-00474-4
关键词
-
资金
- European Research Council (ERC) [646-927 WANDERINGMINDS, 866533-CORTIGRAD, 771863-FLEXSEM]
- Canada Institute for Advanced Research (CIFAR) Artificial Intelligence Chairs programme
- National Institutes of Health (NIH) [R01AG068563A]
- Wellcome/Engineering and Physical Sciences Research Council (EPSRC) Centre for Medical Engineering [WT 203148/Z/16/]
- Natural Sciences and Engineering Research Council of Canada (NSERC) [1304413]
- Canadian Institutes of Health Research [CIHR FDN-154298, PJT-174995]
- SickKids Foundation [NI17-039]
- BrainCanada
- Tier-2 Canada Research Chairs programme
The default mode network (DMN) consists of widely distributed brain regions in the parietal, temporal, and frontal cortex, showing reduced activity during attention-demanding tasks and increased activity during complex cognition tasks. DMN is located in regions furthest away from sensory and motor systems in the cortex. Leveraging knowledge of the topographic characteristics of DMN can enhance understanding of its contribution to cognition and behavior.
Regions of the default mode network (DMN) are distributed across the brain and show patterns of activity that have linked them to various different functional domains. In this Perspective, Smallwood and colleagues consider how an examination of the topographic characteristics of the DMN can shed light on its contribution to cognition. The default mode network (DMN) is a set of widely distributed brain regions in the parietal, temporal and frontal cortex. These regions often show reductions in activity during attention-demanding tasks but increase their activity across multiple forms of complex cognition, many of which are linked to memory or abstract thought. Within the cortex, the DMN has been shown to be located in regions furthest away from those contributing to sensory and motor systems. Here, we consider how our knowledge of the topographic characteristics of the DMN can be leveraged to better understand how this network contributes to cognition and behaviour.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据