[Eeglablist] ICA analysis for mu-rhythm detection

[Scott Makeig]

Katerina -

ICA nicely isolates mu activities (there may be several, depending on how
many channels you decompose, what else is going on in the data, the exp.
event rate, etc.). There are many reasons why ICA decomposition may give
poor quality results -- typically poor data quality and/or insufficient data
length. Interpretation of ICA results is also not simple -- first, you
should gain a clear idea of what well decomposed data look like. One place
to look carefully are the review papers Julie Onton and I have written, for
example:

http://sccn.ucsd.edu/~scott/pdf/OntonMakeig_ICAERSP06.pdf

Scott Makeig

On Tue, Nov 24, 2009 at 4:44 AM, Katerina <jeux_d at yahoo.gr> wrote:

> Hi,
> i have performed ICA analysis through EEGLAB (Tools -> Run ICA) to data
> of three different experiments. All subjects had performed hand or
> finger movement. However, after performing ICA and ploting (Tools ->
> Component spectra and maps) at 10Hz, the topographic maps didn't show
> the correct activation, i.e. activation at the motor cortex of the
> contralateral hemisphere. As for the third experiment in particular, the
> subject had been repeatedly tapping the finger of the right hand, and
> after ICA analysis, the map only showed activation at the occipital lobe.
>
> Is there any explanation for this behavior of the data? Is there any
> particular reason why ICA wouldn't work with mu-rhythm detection and
> hand movement?
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-- 
Scott Makeig, Research Scientist and Director, Swartz Center for
Computational Neuroscience, Institute for Neural Computation, University of
California San Diego, La Jolla CA 92093-0961, http://sccn.ucsd.edu/~scott
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