Route Adjustment of Functional Brain Network in Mental Arithmetic Using Task-Evoked FMRI

  • Xiaofei Zhang
  • Yang Yang
  • Ruohao Liu
  • Ning ZhongEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11976)


A large number of studies on altered functional brain network tend to focus only on the alternation in topological metric of functional connectivity, rather than on the details of graph adjustment that cause topological metric changes, such as significant adjusted route and the nodes on it. In this paper, we first used the brain atlas of Dosenbach to generate the functional brain networks of the 21 participants recruited in the mental arithmetic experiment. Then, the nodal efficiency of each brain region in the network were calculated and statistically compared between mental arithmetic cognitive states. The brain regions with significant alternation in nodal efficiency were taken as seeds for searching adjusted routes. The brain regions that have significant changes in network efficiency with the seed nodes were considered as destined nodes of the relative seed nodes. Finally, the details of two adopted indicators on altered functional brain network by comparing the adjusted route between the two endpoints of the adjusted route were given and used as clues for the better understanding of the cognitive pattern of mental arithmetic. In this paper, the average number of adjusted routes contributed by brain region is used to indicate the degree of contribution of the brain region to the route adjustment, and the interaction degree within specific network is indicated by the density of adjusted routes. The results show that both indicators of fronto-parietal network is significantly higher than that of other networks, which indicates the brain regions and the routes within fronto-parietal network are the most active. In summary, the method proposed in this paper provides a new perspective to study the causes of functional brain network alternation in mental arithmetic. However, due to the participants’ variation of adjusted routes and the nodes on it, a better understanding of these functional brain network alternation for individual participant with the proposed method needs more in-depth research.


Mental arithmetic Functional brain network Nodal efficiency Route adjustment Fronto-Parietal network 



This work was supported by grants from the National Natural Science Foundation of China (61420106005), the Science and Technology Project of Beijing Municipal Commission of Education (KM201710005026), and the JSPS Grants-in-Aid for Scientific Research of Japan (19K12123).


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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Xiaofei Zhang
    • 1
    • 2
    • 4
    • 5
  • Yang Yang
    • 3
    • 4
    • 5
    • 6
  • Ruohao Liu
    • 1
    • 4
    • 5
  • Ning Zhong
    • 1
    • 4
    • 5
    • 6
    Email author
  1. 1.Faculty of Information TechnologyBeijing University of TechnologyBeijingChina
  2. 2.School of ComputerJiangsu University of Science and TechnologyZhenjiangChina
  3. 3.Department of PsychologyBeijing Forestry UniversityBeijingChina
  4. 4.Beijing International Collaboration Base on Brain Informatics and Wisdom ServicesBeijingChina
  5. 5.Beijing Key Laboratory of MRI and Brain InformaticsBeijingChina
  6. 6.Department of Life Science and InformaticsMaebashi Institute of TechnologyMaebashiJapan

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