文献类型：期刊文献

英文题名：Biophysical mechanism of the interaction between default mode network and working memory network

作者：Yuan, Yue[1];Pan, Xiaochuan[1];Wang, Rubin[1]

机构：[1]East China Univ Sci & Technol, Shanghai 200237, Peoples R China

年份：2021

卷号：15

期号：6

起止页码：1101

外文期刊名：COGNITIVE NEURODYNAMICS

收录：;WOS:【SSCI(收录号:WOS:000641238600001)，SCI-EXPANDED(收录号:WOS:000641238600001)】；

基金：This work was supported by the National Natural Science Foundation of China (Nos: 11472104, 11972195, 11872180, 12072113).

语种：英文

外文关键词：Default mode network; Working memory; Contained energy; Task positive; negative network; Correlation

摘要：Default mode network (DMN) is a functional brain network with a unique neural activity pattern that shows high activity in resting states but low activity in task states. This unique pattern has been proved to relate with higher cognitions such as learning, memory and decision-making. But neural mechanisms of interactions between the default network and the task-related network are still poorly understood. In this paper, a theoretical model of coupling the DMN and working memory network (WMN) is proposed. The WMN and DMN both consist of excitatory and inhibitory neurons connected by AMPA, NMDA, GABA synapses, and are coupled with each other only by excitatory synapses. This model is implemented to demonstrate dynamical processes in a working memory task containing encoding, maintenance and retrieval phases. Simulated results have shown that: (1) AMPA channels could produce significant synchronous oscillations in population neurons, which is beneficial to change oscillation patterns in the WMN and DMN. (2) Different NMDA conductance between the networks could generate multiple neural activity modes in the whole network, which may be an important mechanism to switch states of the networks between three different phases of working memory. (3) The number of sequentially memorized stimuli was related to the energy consumption determined by the network's internal parameters, and the DMN contributed to a more stable working memory process. (4) Finally, this model demonstrated that, in three phases of working memory, different memory phases corresponded to different functional connections between the DMN and WMN. Coupling strengths that measured these functional connections differed in terms of phase synchronization. Phase synchronization characteristics of the contained energy were consistent with the observations of negative and positive correlations between the WMN and DMN reported in referenced fMRI experiments. The results suggested that the coupled interaction between the WMN and DMN played important roles in working memory.