[Eeglablist] Analysis of ERSP data

Arnaud Delorme arno at ucsd.edu
Thu Oct 7 22:02:10 PDT 2010

Dear Chris,

yes, this is fine. There is a simpler and more elegant way. You only have 4 channels and EEGLAB will not plot power scalp maps if you have less than 5 channels. Add an extra channel and plot the scalp map in a given time-frequency range (18 22 Hz and 100 to 200 ms for instance). Then you can just collect the numbers and export them (no need to select specific frequencies or time range).

Hope this helps,


On Oct 7, 2010, at 6:48 AM, Christopher Retzler wrote:

> I am currently analysing ERSP data from a concurrent choice task and wondered if the following approach is OK?
>  I pre-calculate the Frequency measures and then use the following code to create variables containing the ERSP data:
> STUDY  = pop_erspparams(STUDY, ‘freqrange’, [0 35]);
> [STUDY erspdata ersptimes erspfreqs] = std_erspplot(STUDY, ALLEEG, ‘channels’, {‘E5’, ‘E6’,’E11’, ‘E12’}, ‘plotsubjects’, ‘on’);  % Frontal cluster of electrodes
> I then extract the data for each subject in each condition for the frequency of interest (in this case beta) and the relevant time period:
> Fz_choc = erspdata{1,2}(25:54,107:136, 1, 1);
> Fz_cigs = erspdata{1,2}(25:54,107:136, 1, 1);
> I then calculate the mean beta power for each subject and condition. This data can then be exported to SPSS for ANOVA analysis along with other behavioural variables etc. Is it OK to average the data in this way?
> Thanks in advance.
> Chris
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