[Eeglablist] ICA - low density, spatially restricted montages

[Tarik S Bel-Bahar]

8 channels is quite sparse, ICA and eye blink removal algorithms rely on
relatively higher scalp coverage.
However because all your channels are frontal, ICA might be resolving
correctly. Some examination of the ERP, EEG signal before/after blink IC
removal, and comparison of no-blink vs. after blink-removal is warranted,
but you just might be able to proceed, with caution...

some possible resources from goggle scholar below,
also to give you some ideas about how test the validity of what you're doing


16 electrodes...
 Automatic removal of *eye*-*blink *artifacts based on *ICA *and peak *
detection *algorithm<http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5456864>
J Gao, P Lin, Y Yang, P Wang - Informatics in Control, …, 2010 -
ieeexplore.ieee.org

8 electrodes
*Detection *and removal of ocular artifacts using Independent Component
Analysis and wavelets<http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5109381>
H Ghandeharion… - Neural Engineering, 2009. …, 2009 - ieeexplore.ieee.org

Analysis of Blind Source Separation Techniques for Eye Artifact
Removal<http://www.springerlink.com/index/K033J730W37T1513.pdf>
TH Aspiras, VK Asari<http://scholar.google.com/citations?user=JLhA4-8AAAAJ&hl=en&oi=sra>
-
Wireless Networks and Computational Intelligence, 2012 - Springer

Validation of *ICA *as a tool to remove eye movement artifacts from
EEG/ERP<http://onlinelibrary.wiley.com/doi/10.1111/j.1469-8986.2010.01015.x/full>
M Mennes<http://scholar.google.com/citations?user=pLlSTVgAAAAJ&hl=en&oi=sra>,
H Wouters, B Vanrumste, L Lagae… - …, 2010 - Wiley Online Library

[HTML] The correction of *eye blink *artefacts in the EEG: a comparison of
two prominent methods <http://dx.plos.org/10.1371/journal.pone.0003004>
S Hoffmann, M Falkenstein - PLoS One, 2008 - dx.plos.org






















On Wed, Aug 29, 2012 at 12:09 AM, Yaseen Gerhold <
sunshineafterdusk at gmail.com> wrote:

> ICA-gurus
>
> I have a low density  montage, 8 channels over the frontal and prefrontal
> regions. I want to know if it is feasible to use ICA in this context for
> artifact correction, or is ICAs application limited to higher density
> montages?
>
>
>  RUNICA appears to resolve all the eye-blink data into one neat component
> on a trial run: One can see this in spatial (scalp maps), frequency
> (fractal dimension) and time domain. My concern is that with only 8
> components to resolve to, and limited spatial sampling (frontal region
> only), important the cortical data may also be resolved to the artifactual
> component.
>
>
> Can someone please share any experience they have in this context, or
> provide some theoretical guidance in terms of ICA performance under such
> conditions?
>
> Yaseen
>
>
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