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Abstract #3434

The Effect of Repetition Time on Model Selection in Dynamic Causal Modeling

Christian H. Kasess1,2, Ewald Moser1,2, Christian Windischberger1,2

1MR Center of Excellence, Medical University Vienna, Vienna, Austria; 2Center for Biomedical Engineering and Physics, Medical University Vienna, Vienna, Austria

Most studies applying DCM have thus far used relatively long repetition times. However, higher sampling rates should provide for a better comparison of different model structures due to better sampling of the hemodynamic response and an increased number of samples. Here we tested the influence of the repetition time on model selection at different noise levels based on simulated data. Results show improved model selection on a group level at short repetition times, in particular at lower signal-to-noise ratios illustrating the benefits of using short repetition times.