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Biophysical mechanism of the interaction between default mode network and working memory network
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 mec...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Springer Netherlands
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8572310/ https://www.ncbi.nlm.nih.gov/pubmed/34786031 http://dx.doi.org/10.1007/s11571-021-09674-1 |
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author | Yuan, Yue Pan, Xiaochuan Wang, Rubin |
author_facet | Yuan, Yue Pan, Xiaochuan Wang, Rubin |
author_sort | Yuan, Yue |
collection | PubMed |
description | 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11571-021-09674-1. |
format | Online Article Text |
id | pubmed-8572310 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer Netherlands |
record_format | MEDLINE/PubMed |
spelling | pubmed-85723102021-11-15 Biophysical mechanism of the interaction between default mode network and working memory network Yuan, Yue Pan, Xiaochuan Wang, Rubin Cogn Neurodyn Research Article 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11571-021-09674-1. Springer Netherlands 2021-04-19 2021-12 /pmc/articles/PMC8572310/ /pubmed/34786031 http://dx.doi.org/10.1007/s11571-021-09674-1 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Research Article Yuan, Yue Pan, Xiaochuan Wang, Rubin Biophysical mechanism of the interaction between default mode network and working memory network |
title | Biophysical mechanism of the interaction between default mode network and working memory network |
title_full | Biophysical mechanism of the interaction between default mode network and working memory network |
title_fullStr | Biophysical mechanism of the interaction between default mode network and working memory network |
title_full_unstemmed | Biophysical mechanism of the interaction between default mode network and working memory network |
title_short | Biophysical mechanism of the interaction between default mode network and working memory network |
title_sort | biophysical mechanism of the interaction between default mode network and working memory network |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8572310/ https://www.ncbi.nlm.nih.gov/pubmed/34786031 http://dx.doi.org/10.1007/s11571-021-09674-1 |
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