[Eeglablist] Generating Wave graphs using EEGLAB

[Delorme, Arnaud]

Dear Suzan,

Yes, you can use the GUI to do that.

1. Import your data into EEGLAB
2. Create a study for group analysis
3. Create a design to compare your conditions
4. Precompute ERPs
5. Use study plotting graphic interface
6. In the study graphic interface, you can group channels before plotting

Best wishes,

Arno

> On Jul 10, 2020, at 1:38 AM, Suzan Tokac (HDR) <suzan.tokac at hdr.mq.edu.au> wrote:
> 
> Hello all,
> 
> I am analyzing my ERP data (linguistics stimuli - sentence reading-violation paradigm) and want to generate waveform graphs.
> 
> I have two condition levels (direct vs indirect and 2 grammaticality levels (grammatical vs ungrammatical). The graphs should be generated for the duration of -0.2 trigger onset till 1 second for 9 separate regions of interest (MA-Midline Anterior, MC Midline Central,LP-Left Posterior, etc.).
> 
> I am using the following MATLAB code but I would like to be able to do it via EEGLAB GUI. Can you please guide me on how to do it? I couldn't manage it using the wiki page explanations. I use the 2019 version (it's different than the ones on the website)
> 
> 
> Thank you in advance.
> 
> 
> ROIs = {LA;MA;RA;LC;MC;RC;LP;MP;RP};
> 
> 
> 
> ROIs_names = {'LA','MA','RA','LC','MC','RC','LP','MP','RP'};
> 
> 
> 
> load('allsubs.mat')
> 
> 
> 
> cfg                = [];
> 
> cfg.channel        = 'all';
> 
> cfg.latency        = 'all';
> 
> cfg.parameter      = 'avg';
> 
> cfg.keepindividual = 'no';
> 
> 
> 
> cond_1 = ft_timelockgrandaverage(cfg,allsubs.trig_11{:});
> 
> cond_2 = ft_timelockgrandaverage(cfg,allsubs.trig_12{:});
> 
> cond_3 = ft_timelockgrandaverage(cfg,allsubs.trig_13{:});
> 
> cond_4 = ft_timelockgrandaverage(cfg,allsubs.trig_14{:});
> 
> 
> 
> 
> 
> %% ERPs
> 
> close all
> 
> for k=1:2
> 
>    figure;
> 
>    for i=1:length(ROIs_names)
> 
>        subplot(3,3,i)
> 
>        hold on
> 
>        line([min(cond_1.time) max(cond_1.time)],[0 0],'linewidth',1,'linestyle','-','color',[0 0 0])
> 
>        line([0 0],[-2 2],'linewidth',1,'linestyle','-','color',[0 0 0])
> 
>        title(ROIs_names{i})
> 
>        xlabel('Time')
> 
>        set(gca, 'YDir','reverse')
> 
>        if k==1
> 
>            A = plot(cond_1.time,nanmean(cond_1.avg(ismember(cond_1.label,ROIs{i}),:)),'linewidth',2, 'color',[0 0 0]);
> 
>            B = plot(cond_4.time,nanmean(cond_4.avg(ismember(cond_4.label,ROIs{i}),:)),'linewidth',2,'color',[1 0 0]);
> 
>            legend([A B],'Seen-Direct','Heard-Direct*')
> 
>        else
> 
>            A = plot(cond_3.time,nanmean(cond_3.avg(ismember(cond_3.label,ROIs{i}),:)),'linewidth',2, 'color',[0 0 0]);
> 
>            B = plot(cond_2.time,nanmean(cond_2.avg(ismember(cond_2.label,ROIs{i}),:)),'linewidth',2,'color',[1 0 0]);
> 
>            legend([A B],'Heard-Indirect','Seen-Indirect*')
> 
>        end
> 
>    end
> 
> end
> 
> 
> _______________________________________________
> 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