[Eeglablist] Envtopo image for one group only

[Makoto Miyakoshi]

Dear Michał,

Sorry for delay.

> Concerning the function, std_envtopo version that I have does not
> output any variables

Yes, it does not unless you specify it. Please make sure that you are
using the latest version of EEGLAB.

> So maybe the first question
> is: which variables I should get out of std_envtopo to examine ICs
> contribution to the grand ERP?

std_envtopo does not calculate ERP. It's an envelope consists of max
and minimum of each time point across all channels.

> I assume grandERPtot and tot_projERP.
> First contains grand ERP from all channels and second contains ERPs
> for each cluster.

grandERPtot is the outermost envelope, and tot_projERP is envelope(s)
of selected clusters.

> However, although I have my 2x3 study design both variables
> (grandERPtot and tot_projERP) are only 1x3.

This does not make sense to me.
Could you please check Study-Select/Edit study design(s) to make sure
your 2x3 is explicitly specified by this. If not, do specify it (this
will require recomputation of precompute). If the problem persists,
let me know.

Makoto


2012/6/27 Michał Bola <michalbola at gmail.com>:
> 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
>>> _______________________________________________
>>> Eeglablist page: http://sccn.ucsd.edu/eeglab/eeglabmail.html
>>> To unsubscribe, send an empty email to eeglablist-unsubscribe at sccn.ucsd.edu
>>> For digest mode, send an email with the subject "set digest mime" to eeglablist-request at sccn.ucsd.edu
>>
>>
>>
>> --
>> Makoto Miyakoshi
>> JSPS Postdoctral Fellow for Research Abroad
>> Swartz Center for Computational Neuroscience
>> Institute for Neural Computation, University of California San Diego



-- 
Makoto Miyakoshi
JSPS Postdoctral Fellow for Research Abroad
Swartz Center for Computational Neuroscience
Institute for Neural Computation, University of California San Diego