Wei Jinzhao, Li Licong, Zhang Jiayi, Shi Erdong, Yang Jianli, Liu Xiuling
Key Laboratory of Digital Medical Engineering of Hebei Province, Hebei University, Baoding, 071000, China.
College of Electronic Information Engineering, Hebei University, Baoding, 071000, China.
Neurosci Bull. 2025 Jan;41(1):33-45. doi: 10.1007/s12264-024-01246-7. Epub 2024 Jun 13.
Within the prefrontal-cingulate cortex, abnormalities in coupling between neuronal networks can disturb the emotion-cognition interactions, contributing to the development of mental disorders such as depression. Despite this understanding, the neural circuit mechanisms underlying this phenomenon remain elusive. In this study, we present a biophysical computational model encompassing three crucial regions, including the dorsolateral prefrontal cortex, subgenual anterior cingulate cortex, and ventromedial prefrontal cortex. The objective is to investigate the role of coupling relationships within the prefrontal-cingulate cortex networks in balancing emotions and cognitive processes. The numerical results confirm that coupled weights play a crucial role in the balance of emotional cognitive networks. Furthermore, our model predicts the pathogenic mechanism of depression resulting from abnormalities in the subgenual cortex, and network functionality was restored through intervention in the dorsolateral prefrontal cortex. This study utilizes computational modeling techniques to provide an insight explanation for the diagnosis and treatment of depression.
在前额叶 - 扣带回皮质内，神经网络之间耦合的异常会扰乱情绪 - 认知相互作用，从而导致诸如抑郁症等精神障碍的发生。尽管有了这样的认识，但这种现象背后的神经回路机制仍然难以捉摸。在本研究中，我们提出了一个生物物理计算模型，该模型涵盖三个关键区域，包括背外侧前额叶皮质、膝下前扣带回皮质和腹内侧前额叶皮质。目的是研究前额叶 - 扣带回皮质网络内耦合关系在平衡情绪和认知过程中的作用。数值结果证实，耦合权重在情绪认知网络的平衡中起着关键作用。此外，我们的模型预测了膝下皮质异常导致抑郁症的致病机制，并且通过干预背外侧前额叶皮质恢复了网络功能。本研究利用计算建模技术为抑郁症的诊断和治疗提供了深入的解释。
