Exploring distinct default mode and semantic networks using a systematic ICA approach
Exploring distinct default mode and semantic networks using a systematic ICA approach
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DOI：
10.1016/j.cortex.2018.12.019
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发表时间：
2019-04-01
期刊：
影响因子：
3.6
通讯作者：
Ralph, Matthew A. Lambon
中科院分区：
文献类型：
--
作者：
Jackson, Rebecca L.;Cloutman, Lauren L.;Ralph, Matthew A. Lambon
静息状态网络（RSNs；在没有明确任务的情况下持续共同激活的区域组）在现代大脑研究中具有巨大的影响力。尽管如此，特定rsn与其功能之间的联系仍然难以捉摸，限制了对认知神经科学（其目标是将认知与神经系统联系起来）的影响。在这里，我们提出了一系列逻辑步骤来正式测试连贯RSN与认知领域之间的关系。该方法应用于一个具有挑战性和重要的测试用例；提取最近提出的语义RSN，确定其与已知的默认模式网络（DMN）的关系，并评估它们在语义认知中的作用。结果表明，DMN和语义网络是两个不同的、连贯的rsn。直接评估这些时空连贯网络的认知特征（并因此考虑重叠网络）表明，所提出的语义网络参与了基于任务的语义认知，而不是DMN。按照这里介绍的步骤，研究人员可以正式测试关于rsn功能的特定假设，包括DMN的其他可能功能。(C) 2019作者。Elsevier Ltd.出版。
Resting-state networks (RSNs; groups of regions consistently co-activated without an explicit task) are hugely influential in modern brain research. Despite this popularity, the link between specific RSNs and their functions remains elusive, limiting the impact on cognitive neuroscience (where the goal is to link cognition to neural systems). Here we present a series of logical steps to formally test the relationship between a coherent RSN with a cognitive domain. This approach is applied to a challenging and significant test case; extracting a recently-proposed semantic RSN, determining its relation with a wellknown RSN, the default mode network (DMN), and assessing their roles in semantic cognition. Results showed the DMN and semantic network are two distinct coherent RSNs. Assessing the cognitive signature of these spatiotemporally coherent networks directly (and therefore accounting for overlapping networks) showed involvement of the proposed semantic network, but not the DMN, in task-based semantic cognition. Following the steps presented here, researchers could formally test specific hypotheses regarding the function of RSNs, including other possible functions of the DMN. (C) 2019 The Author(s). Published by Elsevier Ltd.