Journal article

Empirical bayes for group (Dcm) studies: A reproducibility study

V Litvak, M Garrido, P Zeidman, K Friston

Frontiers in Human Neuroscience | FRONTIERS MEDIA SA | Published : 2015

Abstract

This technical note addresses some key reproducibility issues in the dynamic causal modelling of group studies of event related potentials. Specifically, we address the reproducibility of Bayesian model comparison (and inferences about model parameters) from three important perspectives namely: (i) reproducibility with independent data (obtained by averaging over odd and even trials); (ii) reproducibility over formally distinct models (namely, classic ERP and canonical microcircuit or CMC models); and (iii) reproducibility over inversion schemes (inversion of the grand average and estimation of group effects using empirical Bayes). Our hope was to illustrate the degree of reproducibility one..

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University of Melbourne Researchers

Grants

Awarded by Wellcome Trust


Funding Acknowledgements

The Wellcome Trust funded this work. KJF is funded by the Wellcome Trust (Ref: 088130/Z/09/Z). MIG is funded by the Australian Research Council (ARC) Discovery Early Career Researcher Award (DE130101393) and ARC Centre of Excellence for Integrative Brain Function (CE140100007). We would also like to thank Guillaume Flandin and Will Penny for invaluable discussions and help with the software implementation.