[Eeglablist] How to interpret the ICA component in EEGLAB

Makoto Miyakoshi mmiyakoshi at ucsd.edu
Fri Aug 21 15:48:14 PDT 2015


Dear Naveen,

> Q: How to interpret the ICA component in EEGLAB, what are the steps for
analyses of ICA data?

You have to run dipfit (i.e. source localization using equivalent current
dipole model) as well to fully identify their physiological significance.

> Q: What color indicates in 2d, 3d topographic maps shown in Independent
components?

Scalp topos represents normalized RMS amplitude of the IC. Note that these
topos are stationary across time (it's like orchestra members are seated
during performance).

> Q: Can i analyze specific frequency band  and its power spectrum after
ICA ?

Sure. If you create STUDY you can analyze them with GUI. If you code in
Matlab you can use output from functions (spectopo).

> Q: Is that any tool in EEGLAB which help me to correlate the specific
band power v/s cognitive change during tasks.

No I don't think so.
Cyril Pernet's LIMO may does it. I haven't used it yet so I'm not 100%
sure, but conceptually it must be able to take care of the need.
http://www.hindawi.com/journals/cin/2011/831409/

Makoto

On Mon, Aug 17, 2015 at 9:21 PM, Naveen Bhardwaj <naveenno122k at gmail.com>
wrote:

> Dear EEGLAB list,
>
> I have 14 channel EEG tool through which i acquired continuous signals.
> Now i followed all the pre processing steps mention in EEGLAB tutorial,
> like import EDF file>>Select channel location>> Remove baseline>> basic
> band pass filter (0.1Hz to 40HZ)>> re-referencing channel data>> eye
> artifact removal manually>> RUNICA>>
> *i got 14 component from all 14 channels.*
> Q: How to interpret the ICA component in EEGLAB, what are the steps for
> analyses of ICA data?
>
> Q: What color indicates in 2d, 3d topographic maps shown in Independent
> components?
>
> Q: Can i analyze specific frequency band  and its power spectrum after ICA
> ?
>
> Q: Is that any tool in EEGLAB which help me to correlate the specific band
> power v/s cognitive change during tasks.
>
> Any suggestions or any kind of help regarding these questions will be
> highly appreciated.
>
>
> Many many thanks
>
> Naveen
> --
> *With Warm Regards *
>
>
> *Naveen Bhardwaj*
> *Research Scholar*
>
> *Skype Id- naveenb13*
> *Mobile: +91-9717173826 <%2B91-9717173826>*
>
>
>
>
>
>
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-- 
Makoto Miyakoshi
Swartz Center for Computational Neuroscience
Institute for Neural Computation, University of California San Diego
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