• DocumentCode
    1798906
  • Title

    Causality analysis of P300 recordings focused on the localization of active brain areas

  • Author

    Padilla, B. Jorge Ivan ; Avendao, Jonathan ; German Castellanos, D.

  • Author_Institution
    Escuela Colombiana de Carreras Ind., Bogota, Colombia
  • fYear
    2014
  • fDate
    17-19 Sept. 2014
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    This paper focuses on the causal influence in the brain. These effects are analyzed by stimulating visually or aurally a patient with an external sensorial stimulus and investigating the outcome into the brain (event-related potentials) in order to detect causal influences from one neuron or neuronal population to another. This analysis is achieved by applying time varying multivariate autoregressive models to the ERP signals. The causal interaction is measured using the Granger Causality Index (GCI). The obtained results using causality can validate the analysis performed by an specialist, and they demonstrate the causal interactions between electrophysiological signals of different sites of the cortex, occurring during cognitive processes related with ERP.
  • Keywords
    autoregressive processes; bioelectric potentials; brain; cognition; neurophysiology; ERP signals; Granger causality index; P300 recordings; active brain area localization; causal interaction; cognitive process; cortex; electrophysiological signals; event-related potential; external sensorial stimulus; multivariate autoregressive models; neuronal population; Brain models; Electrodes; Electroencephalography; Kalman filters; Mathematical model; Visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image, Signal Processing and Artificial Vision (STSIVA), 2014 XIX Symposium on
  • Conference_Location
    Armenia
  • Type

    conf

  • DOI
    10.1109/STSIVA.2014.7010127
  • Filename
    7010127