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Application of extended multivariate modeling for information flow analysis of event related responses
conference contribution
posted on 2015-01-01, 00:00 authored by Imali HettiarachchiImali Hettiarachchi, Shady MohamedShady Mohamed, Saeid Nahavandi, S NahavandiEvent related potential (ERP) analysis is one of the most widely used methods in cognitive neuroscience research to study the physiological correlates of sensory, perceptual and cognitive activity associated with processing information. To this end information flow or dynamic effective connectivity analysis is a vital technique to understand the higher cognitive processing under different events. In this paper we present a Granger causality (GC)-based connectivity estimation applied to ERP data analysis. In contrast to the generally used strictly causal multivariate autoregressive model, we use an extended multivariate autoregressive model (eMVAR) which also accounts for any instantaneous interaction among variables under consideration. The experimental data used in the paper is based on a single subject data set for erroneous button press response from a two-back with feedback continuous performance task (CPT). In order to demonstrate the feasibility of application of eMVAR models in source space connectivity studies, we use cortical source time series data estimated using blind source separation or independent component analysis (ICA) for this data set.
History
Event
IEEE International Conference on Systems, Man, and Cybernetics (2015 : Hong Kong, China))Series
Systems Man and Cybernetics Conference ProceedingsPagination
1845 - 1851Publisher
IEEELocation
Hong Kong, ChinaPlace of publication
Piscataway, N.J.Publisher DOI
Start date
2015-10-09End date
2015-10-12ISSN
1062-922XLanguage
engPublication classification
E Conference publication; E1 Full written paper - refereedCopyright notice
2015, IEEETitle of proceedings
SMC 2015 : Proceedings of 2015 IEEE International Conference on Systems, Man and CyberneticsUsage metrics
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No categories selectedKeywords
Science & TechnologyTechnologyComputer Science, CyberneticsComputer Science, Information SystemsComputer Science, Theory & MethodsComputer ScienceEffective ConnectivityGranger CausalityMVARERPsAdaptive EstimationINDEPENDENT COMPONENT ANALYSISPARTIAL DIRECTED COHERENCEAUTOREGRESSIVE MODELS\/EIGENMODESPARAMETERSDYNAMICS
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