[Eeglablist] Question about ICA components

[Simon-Shlomo Poil]

Dear Chaitanya,

I also think you could benefit from reading ICA tutorials, e.g.
http://sccn.ucsd.edu/wiki/Chapter_09:_Decomposing_Data_Using_ICA
and http://www.nbtwiki.net/doku.php?id=tutorial:compute_independent_component_analysis#.UIZh6IYY30E

All the best,
Simon

--
Simon-Shlomo Poil

2012/10/23 Stephen Politzer-Ahles <politzerahless at gmail.com>:
> Hi Chaitanya,
>
> ICA components do not represent channels (i.e., it is not the case that IC1
> represents channel 1). Each independent component represents some pattern
> observed in the data (they often correspond to physiological events--like
> blinks--or neural events). IC1 is the pattern that accounts for the greatest
> variance in the data, IC2 accounts for the second-greatest, etc. You can
> find more information by doing a search for introductory articles about ICA
> in general or ICA as applied to EEG data. See, for example:
>
> http://sccn.ucsd.edu/~scott/pdf/PSY00.pdf
> http://www.measurement.sk/2004/S2/UNGUREANU.pdf
> http://www.education.umd.edu/EDHD/faculty/Fox/publications/37.pdf
>
> Best,
> Steve Politzer-Ahles
>
> On Sun, Oct 21, 2012 at 8:35 AM, chaitanya bhavaraju
> <chaitanya1686 at gmail.com> wrote:
>>
>> Dear EEGLAB users,
>>
>> I have a question about the ICA components. I am analyzing EEG data
>> generated from 32 channels. I obtained the ICA components for that data (31
>> IC components). I am interested in analyzing the data from the visual
>> cortex. My question is will each ICA component represent data from each
>> channel. I have plotted IC1 properties will it represent channel 1
>> properties and please let me know where can i get some information about
>> Independent Component Analysis.
>>
>> thank you,
>> Chaitanya
>>
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>
>
>
> --
> Stephen Politzer-Ahles
> University of Kansas
> Linguistics Department
> http://people.ku.edu/~sjpa/
>
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