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默认模式网络与任务正网络之间相互拮抗的神经动力学分析

程现军 王毅泓 王如彬

程现军, 王毅泓, 王如彬. 默认模式网络与任务正网络之间相互拮抗的神经动力学分析[J]. 应用数学和力学, 2019, 40(2): 127-138. doi: 10.21656/1000-0887.390027
引用本文: 程现军, 王毅泓, 王如彬. 默认模式网络与任务正网络之间相互拮抗的神经动力学分析[J]. 应用数学和力学, 2019, 40(2): 127-138. doi: 10.21656/1000-0887.390027
CHENG Xianjun, WANG Yihong, WANG Rubin. Neurodynamic Analysis of Mutual Antagonism Between Default Mode Networks and Task-Positive Networks[J]. Applied Mathematics and Mechanics, 2019, 40(2): 127-138. doi: 10.21656/1000-0887.390027
Citation: CHENG Xianjun, WANG Yihong, WANG Rubin. Neurodynamic Analysis of Mutual Antagonism Between Default Mode Networks and Task-Positive Networks[J]. Applied Mathematics and Mechanics, 2019, 40(2): 127-138. doi: 10.21656/1000-0887.390027

默认模式网络与任务正网络之间相互拮抗的神经动力学分析

doi: 10.21656/1000-0887.390027
基金项目: 国家自然科学基金(11232005;11472104)
详细信息
    作者简介:

    程现军(1991—),男,硕士生(E-mail: chxjmain@163.com);王如彬(1951—),男,教授,博士生导师(通讯作者. E-mail: rbwang@163.com).

  • 中图分类号: O29;O39

Neurodynamic Analysis of Mutual Antagonism Between Default Mode Networks and Task-Positive Networks

Funds: The National Natural Science Foundation of China(11232005;11472104)
  • 摘要: 任务正激活与任务负激活的工作机制是认知功能实现的基本要素.这一拮抗关系的失衡或者受损可能会引发一系列严重的退行性神经疾病,然而到目前为止,尚不清楚这种拮抗现象的神经机制.该文基于默认模式网络与任务正网络在突触层面上相互抑制的假设,并结合多种刺激条件下的工作记忆模型,进行了计算机数值模拟.研究结果表明: 1) 任务正网络与任务负网络之间在神经活动上呈现出拮抗关系; 2) 伴随着工作记忆刺激方向数目的增加,任务负网络神经活动的衰减程度会随之增大; 3) 当工作记忆相关的脑区其神经活动增加时,任务负网络的神经活动减少; 4) 并且随着工作记忆任务难度的增加,任务负网络的神经活动会迅速衰减.这些计算结果都与神经科学实验数据是匹配的.由于任务负激活是默认模式网络的主要特征,因此默认模式网络与任务正网络在突触层面上的相互抑制是这两种不同性质网络之间形成拮抗关系的根本原因.
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出版历程
  • 收稿日期:  2018-01-22
  • 修回日期:  2018-04-13
  • 刊出日期:  2019-02-01

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