The European Physical Journal Special Topics

, Volume 223, Issue 13, pp 2933–2941 | Cite as

Brain network dynamics characterization in epileptic seizures

Joint directed graph and pairwise synchronization measures
  • A. C. RodriguesEmail author
  • B. S. Machado
  • G. Florence
  • A. P. Hamad
  • A. C. Sakamoto
  • A. Fujita
  • L. A. Baccalá
  • E. AmaroJr.
  • K. Sameshima
Regular Article Complex Networks
Part of the following topical collections:
  1. Advanced Computational and Experimental Techniques in Nolinear Dynamics. Guest Editors: Elbert E.N. Macau and Carlos L. Pando Lambruschini (Eds.)


Here we propose and evaluate a new approach to analyse multichannel mesial temporal lobe epilepsy EEG data from eight patients through complex network and synchronization theories. The method employs a Granger causality test to infer the directed connectivity graphs and a wavelet transform based phase synchronization measure whose characteristics allow studying dynamical transitions during epileptic seizures. We present a new combined graph measure that quantifies the level of network hub formation, called network hub out-degree, which closely reflects the level of synchronization observed during the ictus.


European Physical Journal Special Topic Brain Network Stam Granger Causality Test Mesial Temporal Lobe Epilepsy 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© EDP Sciences and Springer 2014

Authors and Affiliations

  • A. C. Rodrigues
    • 1
    • 7
    Email author
  • B. S. Machado
    • 2
  • G. Florence
    • 3
    • 7
  • A. P. Hamad
    • 4
  • A. C. Sakamoto
    • 4
  • A. Fujita
    • 5
  • L. A. Baccalá
    • 6
  • E. AmaroJr.
    • 2
    • 7
  • K. Sameshima
    • 7
  1. 1.Bioinformatics Interunits Graduate ProgramUniversity of São PauloSão PauloBrazil
  2. 2.Hospital Israelita Albert EinsteinSão PauloBrazil
  3. 3.Department of Neurology, School of MedicineUniversity of São PauloSão PauloBrazil
  4. 4.Department of Neurosciences and Behavior, Ribeirão Preto School of MedicineUniversity of São PauloRibeirão PretoBrazil
  5. 5.Institute of Mathematic and StatisticsUniversity of São PauloSão PauloBrazil
  6. 6.Department of Telecommunications and Control Engineering, Escola PolitécnicaUniversity of São PauloSão PauloBrazil
  7. 7.Department of Radiology and Oncology, School of MedicineUniversity of São PauloSão PauloBrazil

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