[Eeglablist] Generating Wave graphs using EEGLAB

[Makoto Miyakoshi]

Dear Suzan,

Since you seem to be able to code in Matlab, I recommend you consider
writing your own EEGLAB plugin so that you can do what you want in GUI.
https://sccn.ucsd.edu/wiki/A07:_Contributing_to_EEGLAB#How_to_write_an_EEGLAB_extension


This may sound a joke but I am serious. You know your needs perfectly, so
you can make a perfect developer for you. And probably others would
appreciate if you can share it with them.
For me, working on a project always involves development of a couple of my
own toolboxes.

Limit of language is the limit of my world. Thus spoke Ludwig Wittgenstein
in Tractatus. You add the word 'computer' in front of the 'language'--there
you go!

Makoto

On Fri, Jul 10, 2020 at 9:59 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
>
>
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