Dual-functional Network Regulation Underlies the Central Executive System in Working Memory

工作记忆 任务(项目管理) 编码(内存) 巴德利工作记忆模型 发音抑制 计算机科学 神经科学 心理学 认知心理学 认知 短时记忆 经济 管理
作者
Renshu Yu,Bukui Han,Xia Wu,Guodong Wei,J.T. Zhang,Mingzhou Ding,Xiaotong Wen
出处
期刊:Neuroscience [Elsevier BV]
卷期号:524: 158-180 被引量:1
标识
DOI:10.1016/j.neuroscience.2023.05.025
摘要

The frontoparietal network (FPN) and cingulo-opercular network (CON) may exert top-down regulation corresponding to the central executive system (CES) in working memory (WM); however, contributions and regulatory mechanisms remain unclear. We examined network interaction mechanisms underpinning the CES by depicting CON- and FPN-mediated whole-brain information flow in WM. We used datasets from participants performing verbal and spatial working memory tasks, divided into encoding, maintenance, and probe stages. We used general linear models to obtain task-activated CON and FPN nodes to define regions of interest (ROI); an online meta-analysis defined alternative ROIs for validation. We calculated whole-brain functional connectivity (FC) maps seeded by CON and FPN nodes at each stage using beta sequence analysis. We used Granger causality analysis to obtain the connectivity maps and assess task-level information flow patterns. For verbal working memory, the CON functionally connected positively and negatively to task-dependent and task-independent networks, respectively, at all stages. FPN FC patterns were similar only in the encoding and maintenance stages. The CON elicited stronger task-level outputs. Main effects were: stable CON → FPN, CON → DMN, CON → visual areas, FPN → visual areas, and phonological areas → FPN. The CON and FPN both up-regulated task-dependent and down-regulated task-independent networks during encoding and probing. Task-level output was slightly stronger for the CON. CON → FPN, CON → DMN, visual areas → CON, and visual areas → FPN showed consistent effects. The CON and FPN might together underlie the CES's neural basis and achieve top-down regulation through information interaction with other large-scale functional networks, and the CON may be a higher-level regulatory core in WM.

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