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Technology of Graphic & Image
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App. Res. of Comp. Printed Article
Vol. 38, 2021 No. 5
1555-1558

Cognitive task driven method for fMRI functional brain network construction

Zhang Xiaofei1,2
Ma Lianfang1
Liu Ruohao1
Yang Yang3
Kuai Hongzhi4
Zhong Ning1,4
1. Faculty of Information Technology, Beijing University of Technology, Beijing 100124, China
2. School of Computer Science, Jiangsu University of Science & Technology, Zhenjiang Jiangsu 212003, China
3. School of Humanities & Social Sciences, Beijing Forest University, Beijing 100083, China
4. Dept. of Life Science & Informatics, Maebashi Institute of Technology, Maebashi Gunma 371-0816, Japan
DOI: 10.19734/j.issn.1001-3695.2020.04.0145

Abstract

Since the construction of functional brain network is limited by the accuracy and coverage of the description of regions of interest in a specific brain atlas, this paper proposed a method of functional brain network construction based on cognitive task information and neuroimaging data. The proposed method first calculated the sensitivity of fMRI voxels to cognitive tasks, and then selected the brain regions of interest that balance both distribution and decentralization on this basis, thereby constructing a task-driven functional brain network. The experiment constructed a task-driven functional brain network in the fusiform gyrus related to facial emotion recognition cognitive tasks. Its four complex network indicators of degree centrality, clustering coefficient, global efficiency, and local efficiency are superior to the ones of the network constructed by typical brain atlas. The results show that the brain regions of interest calculated by this method are more integrated and more suitable for characterizing functional brain networks under specific cognitive tasks.

Foundation Support

国家自然科学基金资助项目(61420106005)
北京市自然科学基金资助项目(4182005)
教育部人文社科基金资助项目(14YJC740030)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2020.04.0145
Publish at: Application Research of Computers Printed Article, Vol. 38, 2021 No. 5
Section: Technology of Graphic & Image
Pages: 1555-1558
Serial Number: 1001-3695(2021)05-051-1555-04

Publish History

[2021-05-05] Printed Article

Cite This Article

张笑非, 马莲芳, 刘若豪, 等. 认知任务驱动的fMRI脑功能网络构建方法 [J]. 计算机应用研究, 2021, 38 (5): 1555-1558. (Zhang Xiaofei, Ma Lianfang, Liu Ruohao, et al. Cognitive task driven method for fMRI functional brain network construction [J]. Application Research of Computers, 2021, 38 (5): 1555-1558. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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