Reproducibility of Dynamic Causal Modelling in EEG Responses
Author Information
Author(s): Marta I. Garrido, James M. Kilner, Stefan J. Kiebel, Klaas E. Stephan, Karl J. Friston
Primary Institution: University College London
Hypothesis
Can dynamic causal modelling (DCM) reliably reproduce event-related potentials (ERPs) across subjects?
Conclusion
The study found that DCM consistently explains differences in ERPs due to changes in effective connectivity across subjects.
Supporting Evidence
- The FB-model was significantly better than both the F-model and B-model in 7 out of 11 subjects.
- In all but one subject, the forward model was better than the backward model.
- The results were remarkably consistent over subjects.
Takeaway
This study shows that the brain's response to sounds can be modeled in a way that is consistent across different people, helping us understand how we process changes in sound.
Methodology
The study used an oddball paradigm to elicit mismatch responses and applied DCM to assess reproducibility across subjects.
Limitations
The study focused on a specific auditory paradigm and may not generalize to other types of stimuli.
Participant Demographics
13 healthy volunteers aged 24–35, 5 female.
Statistical Information
P-Value
0.04
Statistical Significance
p<0.05
Digital Object Identifier (DOI)
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