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Motif-Synchronization: A new method for analysis of dynamic brain networks with EEG

Author

Listed:
  • Rosário, R.S.
  • Cardoso, P.T.
  • Muñoz, M.A.
  • Montoya, P.
  • Miranda, J.G.V.

Abstract

The major aim of this work was to propose a new association method known as Motif-Synchronization. This method was developed to provide information about the synchronization degree and direction between two nodes of a network by counting the number of occurrences of some patterns between any two time series. The second objective of this work was to present a new methodology for the analysis of dynamic brain networks, by combining the Time-Varying Graph (TVG) method with a directional association method. We further applied the new algorithms to a set of human electroencephalogram (EEG) signals to perform a dynamic analysis of the brain functional networks (BFN).

Suggested Citation

  • Rosário, R.S. & Cardoso, P.T. & Muñoz, M.A. & Montoya, P. & Miranda, J.G.V., 2015. "Motif-Synchronization: A new method for analysis of dynamic brain networks with EEG," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 439(C), pages 7-19.
    • Handle: RePEc:eee:phsmap:v:439:y:2015:i:c:p:7-19
    DOI: 10.1016/j.physa.2015.07.018
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    Citations

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    Cited by:

    1. Deng, Bin & Zhu, Zechen & Yang, Shuangming & Wei, Xile & Wang, Jiang & Yu, Haitao, 2016. "FPGA implementation of motifs-based neuronal network and synchronization analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 451(C), pages 388-402.
    2. Davi Alves Oliveira & Hernane Borges de Barros Pereira, 2024. "Modeling texts with networks: comparing five approaches to sentence representation," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 97(6), pages 1-12, June.
    3. Lahmiri, Salim, 2018. "Causal influences between spontaneous fluctuations in resting state fMRI of central and peripheral eccentricity representations in the human visual cortex," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 512(C), pages 756-762.
    4. Pereira, Hernane Borges de Barros & Rosário, Raphael Silva do & Pereira, Eder Johnson de Area Leão & Moreira, Davidson Martins & Ferreira, Paulo & Miranda, José Garcia Vivas, 2022. "Network dynamic and stability on European Union," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 587(C).
    5. Sousa, R.A. & Lula-Rocha, V.N.A. & Toutain, T. & Rosário, R.S. & Cambui, E.C.B. & Miranda, J.G.V., 2020. "Preferential interaction networks: A dynamic model for brain synchronization networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 554(C).
    6. Echegoyen, I. & Vera-Ávila, V. & Sevilla-Escoboza, R. & Martínez, J.H. & Buldú, J.M., 2019. "Ordinal synchronization: Using ordinal patterns to capture interdependencies between time series," Chaos, Solitons & Fractals, Elsevier, vol. 119(C), pages 8-18.

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