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Decreased connection density and modularity of functional brain networks during n‐back working memory paradigm

机译:在N背部工作记忆范式期间降低了功能性脑网络的连接密度和模块化

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摘要

Investigating how the brain adapts to increased mental workload through large‐scale functional reorganization appears as an important research question. Functional connectivity (FC) aims at capturing how disparate regions of the brain dynamically interact, while graph theory provides tools for the topological characterization of the reconstructed functional networks. Although numerous studies investigated how FC is altered in response to increased working memory (WM) demand, current results are still contradictory as few studies confirmed the robustness of these findings in a low‐density setting.
机译:调查大脑如何通过大型功能重组来增加心理工作量,表现为一个重要的研究问题。功能连接(FC)旨在捕获大脑的不同区域动态相互作用,而图形理论提供了用于重建功能网络的拓扑表征的工具。虽然众多研究调查了FC如何响应于增加的工作记忆(WM)需求而改变,但目前的结果仍然是矛盾的,因为少数研究证实了这些发现在低密度设定中的鲁棒性。

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