文献类型：期刊文献

英文题名：Neural antagonistic mechanism between default-mode and task-positive networks

作者：Cheng, Xianjun[2];Yuan, Yue[2];Wang, Yihong[2];Wang, Rubin[1,2]

机构：[1]Hangzhou Dianzi Univ, Sch Comp Sci, Hangzhou, Peoples R China;[2]East China Univ Sci & Technol, Inst Cognit Neurodynam, Shanghai, Peoples R China

年份：2020

卷号：417

起止页码：74

外文期刊名：NEUROCOMPUTING

收录：;EI(收录号：20203409062723);WOS:【SSCI(收录号:WOS:000590415000006)，SCI-EXPANDED(收录号:WOS:000590415000006)】；

基金：This work was supported/by the National Natural Science Foundation of China (Funding number: 11472104, 11872180.

语种：英文

外文关键词：Antagonism; Default-mode network; Task-negative activation; Task-positive activation; Working memory

摘要：The mechanisms of task-positive and task-negative activations are basic elements for exploring cognitive functions, impairment of which would trigger degenerative neurological diseases. Our research group combined the default mode network (DMN) with the working memory model, chosen as the task positive network (TPN), to carry out computational simulation under various stimulus conditions. The paper has demonstrated the following results: 1) task-positive (TPN) and task-negative networks (TNN) represented antagonistic neural activities; 2) the degree of attenuation in TNN was enhanced with increasing stimulus directions on the working memory; 3) neural activities in TNN decreased as long as that in working memory-related brain regions increase; 4) the more difficult the working memory task was, the more rapidly neural activities in TNN attenuated. Since the task-negative activation was the main characteristic of DMN, mutual inhibition between DMN and TPN was the key of the antagonism between the two networks with different properties. (C) 2020 The Author(s). Published by Elsevier B.V.