大规模功能性大脑网络的动态组织支持情绪和执行控制之间的相互作用
Haiyang Geng1,2, Pengfei Xu3,4, Andre Aleman5
1State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, 100875, China.
Neuroscience bulletin
|January 23, 2024
概括
这项研究提出了一个动态大脑网络模型,解释了执行控制网络,突出网络和默认模式网络如何相互作用来管理情绪和执行功能. 它突出了神经振荡和位置coeruleus-norepinephrine通路作为灵活的认知和情感控制的关键通信机制.
科学领域:
- 神经科学是一个神经科学.
- 认知神经科学 认知神经科学
- 情感神经科学是一种神经科学.
背景情况:
- 情绪和执行控制通常被视为独立的大脑功能.
- 支持这些过程的大规模功能性大脑网络之间的相互作用仍然不太了解.
- 杏仁体和前额叶系统因其在情绪和执行控制中的作用而得到认可.
研究的目的:
- 提出一个动态的大脑网络模型.
- 解释情绪与执行控制之间的互动竞争.
- 对基于网络的方法进行神经成像研究进行审查.
主要方法:
- 最近休息状态和与任务相关的神经成像研究的综述.
- 应用基于网络的方法.
- 开发一个动态的大脑网络模型.
主要成果:
- 执行控制,突出,默认模式和传感运动网络之间的动态交互.
- 这些互动支持灵活的情绪处理和执行控制.
- 神经振荡和位置coeruleus-norepinephrine通路促进网络协同作用.
结论:
- 拟议的动态模型解释了情绪和执行控制之间的交互竞争.
- 它阐明了网络动态如何使灵活的认知和情感功能成为可能.
- 了解这些动态的大脑组织对于认知和情感神经科学至关重要.
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