中国神经再生研究(英文版) ›› 2015, Vol. 10 ›› Issue (2): 298-307.doi: 10.4103/1673-5374.152386

• 原著:脑损伤修复保护与再生 • 上一篇    下一篇

基于视觉任务脑功能网络连接:任务态下参与视觉信息处理脑区都有明显的激活

  

  • 收稿日期:2014-12-17 出版日期:2015-02-17 发布日期:2015-02-17
  • 基金资助:

    文章得到国家自然科学基金(61170136,61373101,61472270,61402318)山西省自然科学(青年科技研究)基金(2014021022-5),山西省科技攻关项目(农业)(20130311037-4)的支持。

Brain functional network connectivity based on a visual task: visual information processing-related brain regions are signifcantly activated in the task state

Yan-li Yang, Hong-xia Deng, Gui-yang Xing, Xiao-luan Xia, Hai-fang Li   

  1. School of Computer Science and Technology, Taiyuan University of Technology, Taiyuan, Shanxi Province, China
  • Received:2014-12-17 Online:2015-02-17 Published:2015-02-17
  • Contact: Hai-fang Li, Ph.D., lihaifang@tyut.edu.cn.
  • Supported by:

    This study was financially supported by grants from the National Natural Science Foundation of China, No. 61170136, 61373101, 61472270, and 61402318; Natural Science Foundation (Youth Science and Technology Research Foundation) of Shanxi Province, No. 2014021022-5; Shanxi Provincial Key Science and Technology Projects (Agriculture), No. 20130311037-4.

摘要:

目前尚不明确功能脑网络相关研究方法是否可以有效的应用于探究视感知中的特征捆绑机制。文章针对视感知中的特征捆绑问题主要通过以下3个方面进行研究。收集38例健康志愿者的静息态和任务态的功能磁共振影像数据,构建静息态和任务态的脑网络,发现任务态下参与视觉信息处理的脑区都有明显的激活;利用堆结构贪婪算法进行模块划分,揭示了在静息态下大脑也存在着视觉网络,并在任务态下印证了视觉信息处理加工的2条通路;计算视觉脑区之间Z值,证实了脑网络的动态平衡性;计算视觉脑区之间连接度,发现枕中回和舌回是视觉系统中具有一定稳定性的脑区,顶叶在颜色特征和形状特征的绑定过程中发挥着非常重要的作用,而梭状回和颞下回对处理颜色和形状信息具有重要功能。结果说明研究视觉特征捆绑认知过程,有助于计算机视觉建模,可为提高图像识别技术奠定基础,同时为视神经损伤再生修复客观评估提供了一定的参考价值。

关键词: 神经再生, 功能磁共振, 静息态, 任务态, 脑网络, 模块划分, 特征捆绑, Fisher’s Z变换, 连接度, 视觉刺激, 国家自然科学基金

Abstract:

It is not clear whether the method used in functional brain-network related research can be applied to explore the feature binding mechanism of visual perception. In this study, we investigated feature binding of color and shape in visual perception. Functional magnetic resonance imaging data were collected from 38 healthy volunteers at rest and while performing a visual perception task to construct brain networks active during resting and task states. Results showed that brain regions involved in visual information processing were obviously activated during the task. The components were partitioned using a greedy algorithm, indicating the visual network existed during the resting state. Z-values in the vision-related brain regions were calculated, confirming the dynamic balance of the brain network. Connectivity between brain regions was determined, and the result showed that occipital and lingual gyri were stable brain regions in the visual system network, the parietal lobe played a very important role in the binding process of color features and shape features, and the fusiform and inferior temporal gyri were crucial for processing color and shape information. Experimental findings indicate that understanding visual feature binding and cognitive processes will help establish computational models of vision, improve image recognition technology, and provide a new theoretical mechanism for feature binding in visual perception.

Key words: nerve regeneration, functional magnetic resonance imaging, resting state, task state,     , brain network, module division, feature binding, Fisher’s Z transform, connectivity, visual stimuli, NSFC grants, neural regeneration