[Eeglablist] mu-suppression

[Arnaud Delorme]

Dear Heath,

use "eegh" to see which plotting function was used and look at the help message. For example, if it is spectopo, type "help spectopo". You may then copy and paste the command then add output to that function to collect the values which are being plotted.

Best,

Arno

On 19 Mar 2013, at 16:09, Heath Matheson wrote:

> Hi all,
> 
> This is something I too am very interested in doing.
> 
> I can see that the Plot function works nicely at allowing me to
> visualize the power spectra, but I have struggled to find information
> on how to extract the exact values for each subject and condition
> within the mu range. That is, I would like something like:
> 
>                 Cond A    Cond B
> Subject 1     Xmu       Ymu
> Subject 2     Xmu       Ymu
> Subject 3     Xmu       Ymu
> ...
> 
> in which Xmu is the average power of a given time window during a
> particular condition for that subject.
> 
> Because of the plots, I assume the values are stored somewhere. Any
> suggestions on how to extract these values would be of great help.
> 
> Thank you,
> Heath Matheson
> Dalhousie University
> 
> On Sat, Feb 9, 2013 at 1:50 AM, Arnaud Delorme <arno at ucsd.edu> wrote:
>> Dear Jens,
>> 
>> first extract data epochs (menu item "Tools > extract epochs").
>> Then compute time-frequency decomposition (menu item "Plot > Time-frequency transforms > Channel time-frequency").
>> Select a relevant channel over the somatosensory area (usually C3 or C4).
>> If you are lucky you should see blue regions after the stimulus presentation in the 10 and 20 Hz frequency bands (indicating mu suppression).
>> 
>> Arno
>> 
>> On 28 Jan 2013, at 09:45, Jens Bölte wrote:
>> 
>>> Hello,
>>> 
>>> we plan an experiment using mu-suppression (8-13 Hz over the motor
>>> cortex) as dependent variable. While I think that I am learning, at
>>> least with respect to ERP-analysis, I really wasn't able to figure out
>>> the relevant steps in eeglab. Any example code or suggestion is greatly
>>> welcome.
>>> 
>>> Best regards Jens
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>> 
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