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Community structure in large-scale cortical networks during motor acts

Author

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  • De Vico Fallani, Fabrizio
  • Chessa, Alessandro
  • Valencia, Miguel
  • Chavez, Mario
  • Astolfi, Laura
  • Cincotti, Febo
  • Mattia, Donatella
  • Babiloni, Fabio

Abstract

The purpose of the present work is to evaluate the community structure of the cortical network subserving the neurophysiologic processes in simple motor acts.

Suggested Citation

  • De Vico Fallani, Fabrizio & Chessa, Alessandro & Valencia, Miguel & Chavez, Mario & Astolfi, Laura & Cincotti, Febo & Mattia, Donatella & Babiloni, Fabio, 2012. "Community structure in large-scale cortical networks during motor acts," Chaos, Solitons & Fractals, Elsevier, vol. 45(5), pages 603-610.
    • Handle: RePEc:eee:chsofr:v:45:y:2012:i:5:p:603-610
    DOI: 10.1016/j.chaos.2012.02.006
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    References listed on IDEAS

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    1. Steven H. Strogatz, 2001. "Exploring complex networks," Nature, Nature, vol. 410(6825), pages 268-276, March.
    2. Gergely Palla & Imre Derényi & Illés Farkas & Tamás Vicsek, 2005. "Uncovering the overlapping community structure of complex networks in nature and society," Nature, Nature, vol. 435(7043), pages 814-818, June.
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    Cited by:

    1. Dagdevir, Eda & Tokmakci, Mahmut, 2021. "Truncation thresholds based empirical mode decomposition approach for classification performance of motor imagery BCI systems," Chaos, Solitons & Fractals, Elsevier, vol. 152(C).
    2. Lahmiri, Salim, 2016. "Image characterization by fractal descriptors in variational mode decomposition domain: Application to brain magnetic resonance," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 456(C), pages 235-243.

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