Dynamic Organization of Large-scale Functional Brain Networks Supports Interactions Between Emotion and Executive Control
Haiyang Geng1,2 · Pengfei Xu3,4 · Andre Aleman5 · Shaozheng Qin1,8 · Yue‑Jia Luo1,6,71 State Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing 100875, China
2 Tianqiao and Chrissy, Chen Institute for Translational Research, Shanghai 200040, China
3 Beijing Key Laboratory of Applied Experimental Psychology, National Demonstration Center for Experimental Psychology Education (BNU), Faculty of Psychology, Beijing Normal University, Beijing 100875, China
4 Center for Neuroimaging, Shenzhen Institute of Neuroscience, Shenzhen 518107, China
5 University of Groningen, Department of Biomedical Sciences of Cells and Systems, Section Cognitive Neuroscience, University Medical Center Groningen, Groningen, The Netherlands
6 Institute for Neuropsychological Rehabilitation, University of Health and Rehabilitation Sciences, Qingdao 266113, China
7 Shenzhen Key Laboratory of Afective and Social Neuroscience, Magnetic Resonance Imaging, Center for Brain Disorders and Cognitive Sciences, Shenzhen University, Shenzhen 518060, China
8 Chinese Institute for Brain Research, Beijing 102206, China
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 coeruleus−norepinephrine 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.
Keywords
Dynamic brain network; Emotion; Executive control; Salience network; Executive control network; Default mode network
