Jiang Xi, Zhao Lin, Liu Huan, Guo Lei, Kendrick Keith M, Liu Tianming
The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China.
School of Automation, Northwestern Polytechnical University, Xi'an, China.
Front Neurosci. 2018 Aug 21;12:575. doi: 10.3389/fnins.2018.00575. eCollection 2018.
There have been increasing studies demonstrating that emotion processing in humans is realized by the interaction within or among the large-scale intrinsic functional brain networks. Identifying those meaningful intrinsic functional networks based on task-based functional magnetic resonance imaging (task fMRI) with specific emotional stimuli and responses, and exploring the underlying functional working mechanisms of interregional neural communication within the intrinsic functional networks are thus of great importance to understand the neural basis of emotion processing. In this paper, we propose a novel cortical folding pattern-guided model of intrinsic networks in emotion processing: gyri serve as global functional connection centers that perform interregional neural communication among distinct regions via long distance dense axonal fibers, and sulci serve as local functional units that directly communicate with neighboring gyri via short distance fibers and indirectly communicate with other distinct regions via the neighboring gyri. We test the proposed model by adopting a computational framework of dictionary learning and sparse representation of emotion task fMRI data of 68 subjects in the publicly released Human Connectome Project. The proposed model provides novel insights of functional mechanisms in emotion processing.
越来越多的研究表明，人类的情绪处理是通过大规模内在功能性脑网络内部或之间的相互作用来实现的。因此，基于具有特定情绪刺激和反应的任务功能磁共振成像（task fMRI）来识别那些有意义的内在功能网络，并探索内在功能网络内区域间神经通信的潜在功能工作机制，对于理解情绪处理的神经基础至关重要。在本文中，我们提出了一种新颖的情绪处理中内在网络的皮质折叠模式引导模型：脑回作为全局功能连接中心，通过长距离密集轴突纤维在不同区域之间进行区域间神经通信，脑沟作为局部功能单元，通过短距离纤维直接与相邻脑回通信，并通过相邻脑回间接与其他不同区域通信。我们采用公开可用的人类连接组计划中68名受试者的情绪任务fMRI数据的字典学习和稀疏表示的计算框架来测试所提出的模型。所提出的模型为情绪处理中的功能机制提供了新的见解。
