[Eeglablist] Generating Wave graphs using EEGLAB

[Suzan Tokac (HDR)]

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