[Eeglablist] newtimef with independent components

[Arnaud Delorme]

By the way, time-frequency comparison of 2 datasets is better performed at the STUDY level.
Create a STUDY and include your two datasets. Then compute ERSP on your components and save single trial data. You should then be able to plot your two ERSP and compute statistics. The main difference with the command line call to newtimef is that the difference ERSP is not plotted.
Best,

Arno

On Sep 10, 2011, at 4:11 PM, James Desjardins wrote:

> Hi Cigir,
> 
> Select "File > Memory and other options" from the EEGLAM menu. In the  
> pop_editoptions() UI check the box beside "If set precompute ICA  
> activations...".
> 
> 
> 
> 
> James Desjardins
> Technician, MA Student
> Department of Psychology, Behavioural Neuroscience
> Cognitive and Affective Neuroscience Lab
> Brock University
> 500 Glenridge Ave.
> St. Catharines, ON, Canada
> L2S 3A1
> 905-688-5550 x4676
> 
> 
> Quoting Cigir Kalfaoglu <c.kalfaoglu at sheffield.ac.uk>:
> 
>> Hi James,
>> Thank you for your quick response.
>> The structure EEG.icaact is empty in my datasets. Do you know why this
>> might be?
>> C
>> 
>> On 08/09/2011 17:21, James Desjardins wrote:
>>> Hi Cigir,
>>> 
>>> The following call to newtimef should compare the independent
>>> component #1 of dataset #1 to dataset #2.
>>> 
>>> figure;
>>> newtimef({ALLEEG(1).icaact(1,:,:), ALLEEG(2).icaact(1,:,:)}, ...
>>> 		EEG.pnts, ...
>>> 		[EEG.xmin EEG.xmax]*1000, ...
>>> 		EEG.srate, ...
>>> 		[3 0.5] , ...
>>> 		'topovec', EEG.icawinv(:,1), ...
>>> 		'elocs', EEG.chanlocs, ...
>>> 		'chaninfo', EEG.chaninfo, ...
>>> 		'baseline',[0], ...
>>> 		'plotphase', 'off', ...
>>> 		'padratio', 1);
>>> 
>>> 
>>> James Desjardins
>>> Technician, MA Student
>>> Department of Psychology, Behavioural Neuroscience
>>> Cognitive and Affective Neuroscience Lab
>>> Brock University
>>> 500 Glenridge Ave.
>>> St. Catharines, ON, Canada
>>> L2S 3A1
>>> 905-688-5550 x4676
>>> 
>>> 
>>> Quoting Cigir Kalfaoglu<c.kalfaoglu at sheffield.ac.uk>:
>>> 
>>>> Hello,
>>>> 
>>>> A simple question with possibly a one line answer:
>>>> 
>>>> I am trying to calculate ERSP/ITC differences between conditions using
>>>> newtimef. However, I would like to use data from independent
>>>> components, rather than channels when doing so. I know pop_newtimef has
>>>> the option to do this via the key 'typeproc', but I couldn't get
>>>> pop_newtimef to work with two datasets.
>>>> 
>>>> Is there a way to analyse independent components using newtimef, or
>>>> alternatively, to use pop_newtimef with 2 datasets?
>>>> 
>>>> Thank you,
>>>> C
>>> 
>>> 
>>> 
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