[Eeglablist] Envtopo image for one group only

Michał Bola michalbola at gmail.com
Wed Jun 27 01:45:00 PDT 2012


Dear Makoto,

thank you, I appreciate you are willing to assist me.

So basically I would like to get grand ERP envelopes and ICs
contribution separately for two groups that I have in my study design.

Concerning the function, std_envtopo version that I have does not
output any variables, except for a figure. So maybe the first question
is: which variables I should get out of std_envtopo to examine ICs
contribution to the grand ERP? I assume grandERPtot and tot_projERP.
First contains grand ERP from all channels and second contains ERPs
for each cluster.

However, although I have my 2x3 study design both variables
(grandERPtot and tot_projERP) are only 1x3. So that I can examine ICs
contribution for each condition separately, but not groups separately.

Thus, one of the solutions would be to separate get envelopes of
subjects from one of the groups from both variables (grandERPtot and
tot_projERP). How can I identify data from particular subjects in both
variables?

Hope now my aim is somehow clearer.

Michal


On 25 June 2012 23:00, Makoto Miyakoshi <mmiyakoshi at ucsd.edu> wrote:
> Dear Michal,
>
>> There is of course an option to compute ICs contribution
>> separately for each condition, but no option to choose one group only.
>
> Let me confirm what happened to support you better.
> std_envtopo outputs all combination of conditions x groups by default.
> If this does not contains what you want, and you still want to have
> one group only... do you want something like 'the main effect of
> group' for each level of group?
>
> Makoto
>
> 2012/6/21 Michał Bola <michalbola at gmail.com>:
>> Dear all,
>>
>> I work with ERP data from experiment with 2 X 3 design: 2 groups
>> (patients and controls) and 3 conditions (types of stimuli presented).
>> I want to use std_envtopo function to plot clusters contribution to
>> the grand average ERP separately for both groups, as I hypothesize,
>> that different sources might contribute to a different extent to both
>> groups ERPs. There is of course an option to compute ICs contribution
>> separately for each condition, but no option to choose one group only.
>> Can anybody drop me a hint how to get that? I tried to modify the
>> code, so that, so that only one group is processed (so playing with
>> "sets" variable), but then std_envtopo reports some errors when
>> calculating scalp projections.
>>
>> Thank you in advance.
>> Cheers
>>
>> Michal
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>
>
> --
> Makoto Miyakoshi
> JSPS Postdoctral Fellow for Research Abroad
> Swartz Center for Computational Neuroscience
> Institute for Neural Computation, University of California San Diego




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