A Cortical Folding Pattern-Guided Model of Intrinsic Functional Brain Networks in Emotion Processing.
A Cortical Folding Pattern-Guided Model of Intrinsic Functional Brain Networks in Emotion Processing.
复制标题
情绪处理中内在功能脑网络的皮质折叠模式引导模型
DOI：
10.3389/fnins.2018.00575
复制
发表时间：
2018
影响因子：
4.3
通讯作者：
Liu T
中科院分区：
文献类型：
--
作者：
Jiang X;Zhao L;Liu H;Guo L;Kendrick KM;Liu T
越来越多的研究表明，人类的情绪加工是通过大规模内在功能脑网络内部或之间的相互作用来实现的。基于任务的功能磁共振成像（task-based fMRI）技术，在特定的情绪刺激和反应条件下，识别有意义的内在功能网络，并探讨内在功能网络中区域间神经通讯的功能工作机制，对于理解情绪加工的神经基础具有重要意义。在本文中，我们提出了一种新的皮质折叠模式引导的内在网络模型的情绪处理：回作为全球功能连接中心，执行区域间的神经通信不同的区域之间通过长距离的致密轴突纤维，和脑沟作为本地功能单位，直接与相邻的回通过短距离的纤维和间接的沟通，通过相邻的回与其他不同的区域。我们测试所提出的模型，采用字典学习和稀疏表示的情感任务fMRI数据的68个主题在公开发布的人类连接组计划的计算框架。该模型提供了新的见解情感加工的功能机制。
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.
登录
查看更多内容
DOI：
10.1073/pnas.0504136102
发表时间：
2005-07-05
影响因子：
11.1
作者：
Fox, MD;Snyder, AZ;Raichle, ME
通讯作者：
Raichle, ME
影响因子：
5.7
作者：
Barrett LF;Satpute AB
通讯作者：
Satpute AB
用于识别功能网络的全脑 fMRI 信号的稀疏表示
影响因子：
10.9
作者：
Lv, Jinglei;Jiang, Xi;Liu, Tianming
通讯作者：
Liu, Tianming
影响因子：
5.7
作者：
Hariri, AR;Tessitore, A;Weinberger, DR
通讯作者：
Weinberger, DR
影响因子：
19.9
作者：
Lindquist, Kristen A.;Barrett, Lisa Feldman
通讯作者：
Barrett, Lisa Feldman