[Eeglablist] exporting single trial mean voltages

Angel Tabullo angeltabullo at yahoo.com
Mon Mar 30 15:03:01 PDT 2015


Many many thanks! I was aware of the erplab function I was just trying to decide which would be the fastest way to do it. I did not find a specific function in eeglab to calculate single trial erps in specific windows, though. 


     El Lunes, 30 de marzo, 2015 16:59:39, Stephen Politzer-Ahles <spa268 at nyu.edu> escribió:
   

 Hi Angel,
I believe ERPLAB has built-in functions for this, but it's also pretty straightforward to do straight out of EEGLAB with MATLAB code. Something like this:
% specify the begin and end points of the time window of interesttime_window = [300 500];
% find the samples within this time windowsamples = find( EEG.times>=time_window(1) & EEG.times<=time_window(2) );
% pull out the data from this range of samples, and average over samplesmeans = squeeze( mean( EEG.data( :, samples, : ), 2 ) );
% write the data out of MATLAB using a function like dlmwrite() or xlswrite()...
Best,Steve



Stephen Politzer-Ahles
New York University, Abu Dhabi
Neuroscience of Language Lab
http://www.nyu.edu/projects/politzer-ahles/

On Mon, Mar 30, 2015 at 12:47 PM, Makoto Miyakoshi <mmiyakoshi at ucsd.edu> wrote:

Dear Angel,
Although I have never tried myself, ERPLAB seems to support such a function. Did you check it?
Makoto
On Fri, Mar 27, 2015 at 5:17 AM, Angel Tabullo <angeltabullo at yahoo.com> wrote:

Hi everyone!
This is a rather basic question, but I hope it will be easy to answer. EEGLAB has a function to export voltage values for each time point of every epoch, and it also allows to export the average of all epochs, for every single time point. I'd like to ask you if there is a function (or script) that would allow to export only mean voltage values within a specific time-window (for instance, 300 - 500 ms) for every epoch. 
My goal is to analyze particular components (like N400) from a psycholinguistics experiment with a regression model that includes factors like word frequency, length, surprisal and sentence constraint strength and entropy. Therefore, I need N400 measures for every sentence (epoch). 
Many thanks!
Angel Tabullo
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-- 
Makoto Miyakoshi
Swartz Center for Computational Neuroscience
Institute for Neural Computation, University of California San Diego

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