[Eeglablist] Calculating ERSP in STUDY design using one whole condition as baseline

[Makoto Miyakoshi]

Very nice, Arno. Thanks.

2012/8/14 Arnaud Delorme <arno at ucsd.edu>:
> Dear Christian,
>
> Makoto solution would work but there is a (much) easier way.
> Declare your conditions as paired in your design and the common baseline to all conditions will be subtracted by default. No command line needed. A message will be shown on the command line.
> Best,
>
> Arno
>
> On Aug 10, 2012, at 1:14 PM, Makoto Miyakoshi wrote:
>
>> Dear Christian,
>>
>> Off the top of my head I could think of something like this. This
>> operation is not fully GUI based.
>>
>> 1. Calculate ERSP with no baseline subtraction.
>> 2. Create clusters.
>> 3. Plot ERSPs for all clusters. Close the main edit/plot GUI.
>> 4. Reopen edit/plot GUI.
>> 5. Access ERSP data stored under (something like) STUDY.cluster(1,x).ersp...
>> 6. Calculate global mean of one condition, and subtract it from the other.
>>
>> Sorry this might not be as simple as using GUI.
>> If you have further questions please let us know.
>>
>> Makoto
>>
>> 2012/8/9 Christian Scharinger <c.scharinger at gmx.net>:
>>> Dear eeglab users,
>>>
>>> one further question, maybe someone has any suggestions:
>>> I have run an experiment with 4 different conditions. I would now like
>>> to define one of these conditions as baseline against which the
>>> remaining three conditions are compared, i.e. their ERSPs are calculated.
>>>
>>> In other words: when calculating ERSPs in a STUDY design I would like to
>>> define a whole condition as baseline for other conditions.
>>>
>>> Is there any "easy" way to do this?
>>>
>>> In the std_ersp function I found the argument:
>>> 'powbase'    - [ncomps,nfreqs] optional input matrix giving baseline
>>> power spectra (not dB power, see >> help timef). For use in repeated
>>> calls to timef() using the same baseine {default|[] -> none; data
>>> windows centered before 0 latency}
>>>
>>> I guess this might be the argument where I could define my "common
>>> baseline"? But I didn't figure out what kind of matrix the 'powbase'
>>> argument does expect and how to calculate this matrix in an "easy" way.
>>>
>>> I would be very glad about any suggestions!
>>>
>>> Best,
>>> Christian
>>>
>>>
>>> --
>>> Christian Scharinger, M.A.
>>>
>>> Knowledge Media Research Center (KMRC)
>>> Schleichstraße 6 | 72076 Tuebingen
>>>
>>> Phone: +49 (0)7071 979-360
>>> Internet: http://www.iwm-kmrc.de/c.scharinger
>>> E-Mail: c.scharinger at iwm-kmrc.de
>>>
>>> _______________________________________________
>>> 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
>>
>> _______________________________________________
>> 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