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Exploring distinct default mode and semantic networks using a systematic ICA approach

机译:使用系统的ICA方法探索独特的默认模式和语义网络

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摘要

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 well-known 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.
机译:静息状态网络(RSN;在没有明确任务的情况下持续激活的区域组)在现代大脑研究中具有巨大影响力。尽管这种流行,特定的RSN及其功能之间的联系仍然难以捉摸,从而限制了对认知神经科学的影响(其目标是将认知与神经系统联系起来)。在这里,我们提出了一系列逻辑步骤,以正式测试相干RSN与认知域之间的关系。这种方法适用于具有挑战性和重要的测试用例。提取最近提出的语义RSN,确定其与众所周知的RSN,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相干RSN。直接评估这些时空相干网络的认知特征(并因此解释重叠网络)表明,所提出的语义网络参与了基于任务的语义认知,但未涉及DMN。按照此处介绍的步骤,研究人员可以正式检验有关RSN功能(包括DMN的其他可能功能)的特定假设。

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