[Eeglablist] power spectral density computation in P300 training data

[Makoto Miyakoshi]

Dear Alex,

> Am I correct?

Yes.

> Should anything else be used (i.e. Edit/Select data using events) or
EEGLab scripts employing functions such as timef, pop_spectopo, instead?

If you can write code of course you will have much more choices, but it's
not mandatory.

Makoto

On Wed, Jul 8, 2015 at 2:16 PM, alessandro.marassi at libero.it <
alessandro.marassi at libero.it> wrote:

> I performed an audio P300 StimulusPresentation experiment in which the
> audio signal has a duration of 375 ms and the interstimulus interval lasts
> 1250 ms.
> I would like to get a spectral plot of density power of:
>
> 1. an overall chosen EEG channel on all available data;
> 2. over the 1000 ms preceding the Stimulus begin event on all epochs;
> 3. over the first 600 ms following the Stimulus begin events on all epochs;
> 4. over the first 600 ms following the Stimulus begin events in the
> attended stimuli epochs;
> 5. over the first 600 ms following the Stimulus begin events in the
> unattended stimuli epochs;
>
> In order to get 1. I tried:
> Plot/Channel Properties or Plot/Channel Spectra and Maps
>
> In order to get 2. and 3. I first used Tools/Extract Epochs by
> StimulusBegin in order to subdivide data in epochs and then Plot/Channel
> Spectra and Maps, selecting time begin-end respectively as -1000 0 and 0
> 600.
>
> In order to get 4. and 5. I first followed the procedure to select
> attended/unattended events by Edit/Select Epochs or Events applied on the
> extracted epochs dataset and then Plot/Channel Properties or Plot/Channel
> Spectra and Maps
>
> Am I correct?
> Should anything else be used (i.e. Edit/Select data using events) or
> EEGLab scripts employing functions such as timef, pop_spectopo, instead?
>
> thanks,
> Alex
>
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-- 
Makoto Miyakoshi
Swartz Center for Computational Neuroscience
Institute for Neural Computation, University of California San Diego
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