Journal article

Dynamic causal modelling of evoked responses: The role of intrinsic connections

Stefan J Kiebel, Marta I Garrido, Karl J Friston

NEUROIMAGE | ACADEMIC PRESS INC ELSEVIER SCIENCE | Published : 2007

Abstract

Dynamic causal modelling is an approach to characterising evoked responses as measured by magneto/electroencephalography (M/EEG). A dynamic causal model (DCM) is a spatiotemporal, generative network model for event-related fields/responses (ERP/ERF) data. Using Bayesian model inversion, one can compute the posterior distributions of the DCM's physiological parameters and its marginal likelihood for model comparison. Model comparison can be used to test mechanistic hypotheses about how electrophysiological data were generated. In this work, we look at the relative importance of changes in intrinsic (within source) and extrinsic (between sources) connections in generating mismatch responses. I..

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