北京师范大学Yue-Jia Luo等研究人员合作发现，大规模脑功能网络的动态组织支持情绪与执行控制之间的互动。该研究于2024年1月23日在线发表于国际一流学术期刊《神经科学通报》。

研究人员通过回顾最近使用基于网络的方法进行的静息态和任务相关神经影像学研究，提出了一个动态脑网络模型来解释情绪和执行控制之间的互动竞争。在这一模型中，执行控制网络、显著性网络、默认模式网络和感觉运动网络之间的动态互动促成了情绪的动态过程，并支持对多个过程的灵活执行控制；跨多个频段的神经振荡和蓝斑-去甲肾上腺素通路是大规模功能性脑网络之间动态协同的基础交流机制。该模型对于理解复杂大脑系统和网络的动态组织如何赋予灵活的认知和情感功能具有重要意义。

研究人员表示，情绪和执行控制通常被视为人类大脑功能的两种不同模式。然而，人们对支持灵活情绪处理和执行控制的大规模大脑功能网络的动态组织，尤其是它们之间的相互作用知之甚少。长期以来，人们一直认为杏仁核和前额叶系统在这些过程中扮演着至关重要的角色。人类神经影像学研究的最新进展已开始勾勒出情绪、执行控制及其相互作用所依赖的大规模大脑网络的功能组织原理。

附：英文原文

Title: Dynamic Organization of Large-scale Functional Brain Networks Supports Interactions Between Emotion and Executive Control

Author: Geng, Haiyang, Xu, Pengfei, Aleman, Andre, Qin, Shaozheng, Luo, Yue-Jia

Issue&Volume: 2024-01-23

Abstract: Emotion and executive control are often conceptualized as two distinct modes of human brain functioning. Little, however, is known about how the dynamic organization of large-scale functional brain networks that support flexible emotion processing and executive control, especially their interactions. The amygdala and prefrontal systems have long been thought to play crucial roles in these processes. Recent advances in human neuroimaging studies have begun to delineate functional organization principles among the large-scale brain networks underlying emotion, executive control, and their interactions. Here, we propose a dynamic brain network model to account for interactive competition between emotion and executive control by reviewing recent resting-state and task-related neuroimaging studies using network-based approaches. In this model, dynamic interactions among the executive control network, the salience network, the default mode network, and sensorimotor networks enable dynamic processes of emotion and support flexible executive control of multiple processes; neural oscillations across multiple frequency bands and the locus coeruleusnorepinephrine pathway serve as communicational mechanisms underlying dynamic synergy among large-scale functional brain networks. This model has important implications for understanding how the dynamic organization of complex brain systems and networks empowers flexible cognitive and affective functions.

DOI: 10.1007/s12264-023-01168-w

Source: https://link.springer.com/article/10.1007/s12264-023-01168-w