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Study on the Connectivity of Language Network in Word Reading and Object Recognition Based on tfMRI

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Brain Informatics (BI 2019)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 11976))

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Abstract

Brain structural connectivity is the foundation of its functionality. To understand the brain abilities, studying the relation between structural and functional connectivity is essential. This study aims to investigate the structure connectivity and the information exchange efficiency of the brain language network under different task modality. Using a public database from the open project “Word and Object Processing” shared from the OpenfMRI website (https://openfmri.org/dataset/), this study analyzed task-state fMRI data of 45 subjects with high temporal and spatial resolution. Based on the topological characteristics of language network connection efficiency, this study investigated the structure connectivity and the information exchange efficiency of the brain language function network under different tasks. The result findings show that the structure connectivity and the information exchange efficiency of the brain language network are strongly affected by the task modality. The task of written words reading, compared with other tasks, gets more language network nodes involved and thus the strongest structural connectivity will be activated and the highest information exchange efficiency will be achieved.

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Acknowledgements

This work was supported by grants from the National Natural Science Foundation of China (61420106005), Ministry of Education Humanities & Social Sciences of China (14YJC740030), the Science and Technology Project of Beijing Municipal Commission of Education (KM201710005026), and the JSPS Grants-in-Aid for Scientific Research of Japan (19K12123).

Author information

Authors and Affiliations

  1. School of Foreign Language, Jiangsu University of Science and Technology, Zhenjiang, 212003, China

    Xiang He

  2. Faculty of Information Technology, Beijing University of Technology, Beijing, 100124, China

    Xiaofei Zhang & Ning Zhong

  3. School of Computer, Jiangsu University of Science and Technology, Zhenjiang, 212003, China

    Xiaofei Zhang

  4. Department of Psychology, Beijing Forest University, Beijing, 100083, China

    Yang Yang

  5. Beijing International Collaboration Base on Brain Informatics and Wisdom Services, Beijing, 100124, China

    Xiaofei Zhang, Yang Yang & Ning Zhong

  6. Beijing Key Laboratory of MRI and Brain Informatics, Beijing, 100124, China

    Xiaofei Zhang, Yang Yang & Ning Zhong

  7. Mental Health Education Center, Jiangsu University, Zhenjiang, 212003, China

    Ting Wu

  8. Department of Life Science and Informatics, Maebashi Institute of Technology, Maebashi, Gunma, 371-0816, Japan

    Yang Yang & Ning Zhong

Authors
  1. Xiang He
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  2. Xiaofei Zhang
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  3. Yang Yang
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  4. Ting Wu
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  5. Ning Zhong
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Corresponding author

Correspondence to Ning Zhong .

Editor information

Editors and Affiliations

  1. Capital Normal University, Beijing, China

    Peipeng Liang

  2. York University, Toronto, ON, Canada

    Vinod Goel

  3. Shanghai University of Traditional Chinese Medicine, Shanghai, China

    Chunlei Shan

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He, X., Zhang, X., Yang, Y., Wu, T., Zhong, N. (2019). Study on the Connectivity of Language Network in Word Reading and Object Recognition Based on tfMRI. In: Liang, P., Goel, V., Shan, C. (eds) Brain Informatics. BI 2019. Lecture Notes in Computer Science(), vol 11976. Springer, Cham. https://doi.org/10.1007/978-3-030-37078-7_7

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  • DOI: https://doi.org/10.1007/978-3-030-37078-7_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-37077-0

  • Online ISBN: 978-3-030-37078-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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