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International Conference on Brain Informatics

BI 2021: Brain Informatics pp 136–145Cite as

A Novel Hybrid Model for Brain Functional Connectivity Based on EEG

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 12960))

Abstract

In this paper, we introduce a novel model for establishing brain functional connectivity based on noninvasive Electroencephalogram (EEG) data sources. We reviewed the main methods used in EEG brain functional connectivity, and the current research progress of analyzing EEG datasets. In this paper, we proposed a new model for bridging the missing link between human brain functions and real time brain wave activities. The proposed model combines graph theory/complex network methods with fuzzy logic method to deliver an explicit connection in a real time environment. We conducted the EEG data preprocessing experiments for our new model.

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Acknowledgment

This work is partially supported by Zhejiang Natural Science Fund (LY19F030010), Zhejiang Philosophy and Social Sciences Fund (20NDJC216YB), Ningbo Innovation Team (No. 2016C11024), Ningbo Natural Science Fund (No. 2019A610083), Zhejiang Provincial Education and Science Scheme 2021 (GH2021642).

Author information

Authors and Affiliations

  1. Zhejiang University, Hangzhou, China

    Yan Li & Huiming Tang

  2. SCDM Center, NIT, Ningbo Research Institute, Zhejiang University, Hangzhou, China

    Haolan Zhang

  3. Ningbo Tech University, Ningbo, China

    Yifan Lu

Authors
  1. Yan Li
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  2. Haolan Zhang
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  3. Yifan Lu
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  4. Huiming Tang
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Corresponding author

Correspondence to Haolan Zhang .

Editor information

Editors and Affiliations

  1. Nottingham Trent University, Nottingham, UK

    Mufti Mahmud

  2. Jahangirnagar University, Dhaka, Bangladesh

    M Shamim Kaiser

  3. University of Padua, Padua, Italy

    Stefano Vassanelli

  4. Tsinghua University, Beijing, China

    Qionghai Dai

  5. Maebashi Institute of Technology, Maebashi, Japan

    Ning Zhong

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Li, Y., Zhang, H., Lu, Y., Tang, H. (2021). A Novel Hybrid Model for Brain Functional Connectivity Based on EEG. In: Mahmud, M., Kaiser, M.S., Vassanelli, S., Dai, Q., Zhong, N. (eds) Brain Informatics. BI 2021. Lecture Notes in Computer Science(), vol 12960. Springer, Cham. https://doi.org/10.1007/978-3-030-86993-9_13

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  • DOI: https://doi.org/10.1007/978-3-030-86993-9_13

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-86992-2

  • Online ISBN: 978-3-030-86993-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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