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
Link To Document