[Eeglablist] What to do with more than one IC per subject in a cluster

[Salim Al-wasity]

DearsAs I understood from the following discussion (http://sccn.ucsd.edu/pipermail/eeglablist/2013/006353.html), its not recommended to pre-select the components for a PCA-clustering approach?
I am comparing between the ERSP results of using MPT approach and PCA-clustering approach. In the first STUDY, I used the MPT to cluster the ICs (after removing the noisy ones). and for PCA-clustering I removed the noisy ICs and then I preselected ICs which are located in the Sensorimotor cortex, after that I created a STUDY and used a PCA for clustering and ensured each cluster has at most 2 components from the same subject to avoid biasing. Is this technique of pre-selecting ICs based on ROI (Region Of Interest) prior to PCA-clustering is a good way to avoid biasing?  and Whether these results are comparable to those of MPT?
SincerelySalim 
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