[Eeglablist] Merging ICA components

[robert coben]

Dave,

There is a good reason you are getting multiple components as the mu rhythm is multiply determined and has various aspects. Our previous research has shown mu (lack of mu suppression) to have frontal, temporal, central and limbic aspects that are disrupted bilaterally due to multiple connectivity deficits across these regions. What you see centrally at the surface is the result of these multiple phenomena. So, having multiple components is not a problem to collapse it is the reality of what you are studying.

Rob

> On Jan 19, 2016, at 12:33 PM, Jenson, Dave <djenson1 at uthsc.edu> wrote:
> 
> All,
> 
> Does anyone know how to merge components from an ICA decomposition into a single component?  I am running a study on the sensorimotor mu rhythm, and I have a few subjects for whom ICA produces multiple potential components.  At the moment I am choosing the best component per subject based on scalp map, spectra, and dipole location.  However, I still have a few subjects for whom there is no clear winner.  I don't want to lose statistical power by excluding a component that represents the sensorimotor mu, but also don't want to disproportionately weight some subjects over others at the study level by including multiple components.  Is there a way to 1) merge components or 2) overcome this problem in a different manner?
> 
> -Dave Jenson
> 
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