[FieldTrip] How to plot ERP waveforms

[蔡林]

Dear fieldtripers,

    I am coming across a problem about plotting.I have four conditions in my experiment, but why did the figure have only one conditon? Please help me if you find something wrong with my codes.  My codes are as follows:


%%preprocessing 40 subjects
nsubjects = [1:40];
for i=1:length (nsubjects)
    j = nsubjects(i);
    cfg = [];
    cfg.dataset = sprintf('s%d-epoch-bsline.eeg', j);
    cfg.trialdef.eventtype = 'trial';
    cfg.trialdef.eventvalue = [14]; %markers
    cfg = ft_definetrial(cfg);
    cfg.channel    = {'all'};
    data_14 = ft_preprocessing(cfg);
    
    cfg.trialdef.eventvalue = [24]; %markers
    cfg = ft_definetrial(cfg);
    cfg.channel    = {'all'};
    data_24 = ft_preprocessing(cfg);
    
    cfg.trialdef.eventvalue = [34]; %markers
    cfg = ft_definetrial(cfg);
    cfg.channel    = {'all'};
    data_34 = ft_preprocessing(cfg);
    
    cfg.trialdef.eventvalue = [44]; %markers
    cfg = ft_definetrial(cfg);
    cfg.channel    = {'all'};
    data_44 = ft_preprocessing(cfg);

    outfil = strcat('/EEG/data_s', sprintf('%02d', j));
    save(outfil, 'data_14','data_24','data_34','data_44');
    clear data_14* data_24* data_34* data_44*;
end
%% calculate the ERP of each subject
nsubject = [1:40];

for i=1:length (nsubject)
    j=nsubject(1,i);
    load (sprintf('/EEG/data_s%02d',j));
    
    cfg = [];
    cfg.latency = [-0.2 1.0];
    cfg.covariance = 'no';
    cfg.blcovariance = 'no';
    
    avg_14=ft_timelockanalysis(cfg,data_14);
    avg_24=ft_timelockanalysis(cfg,data_24);
    avg_34=ft_timelockanalysis(cfg,data_34);
    avg_44=ft_timelockanalysis(cfg,data_44);
    
    cfg = [];
    cfg.baseline = [-0.2 0];
    cfg.baselinetype = 'absolute';
    base_14= ft_timelockbaseline(cfg, avg_14);
    base_24= ft_timelockbaseline(cfg, avg_24);
    base_34= ft_timelockbaseline(cfg, avg_34);
    base_44= ft_timelockbaseline(cfg, avg_44);
    
    outfil = strcat('/EEG/baseERP_resp_s', sprintf('%02d', j));
    save(outfil, 'base_14', 'base_24', 'base_34', 'base_44','avg_14', 'avg_24', 'avg_34','avg_44');
    clear avg* data*;
end
%% calculate the grand average of the 40 subjects
%%grand average
cfg = [];
nsubject = [1:40];

for i=1:length (nsubject)
    j=nsubject(1,i);
    load(sprintf('/EEG/baseERP_resp_s%02d',j));
    
    sub_14(i).ERP= avg_14;
    sub_24(i).ERP= avg_24;
    sub_34(i).ERP= avg_34;
    sub_44(i).ERP= avg_44;
    clear avg*
end

grandavg_14 = ft_timelockgrandaverage(cfg, sub_14(:).ERP); %C
grandavg_24 = ft_timelockgrandaverage(cfg, sub_24(:).ERP); %Refer
grandavg_34 = ft_timelockgrandaverage(cfg, sub_34(:).ERP); %Semantic
grandavg_44 = ft_timelockgrandaverage(cfg, sub_44(:).ERP); %Double

outfil = strcat('/EEG/n40_grandavgERP_resp');
save(outfil, 'grandavg_14', 'grandavg_24', 'grandavg_34', 'grandavg_44');
%%plotting
load /EEG/n40_grandavgERP_resp;

cfg = [];
cfg.layout = 'EEG1010.lay';
cfg.xlim = [-0.2 1.0];

cfg.baseline = 'no';
cfg.interactive = 'no';
cfg.showlabels = 'yes';
cfg.colorbar = 'yes';

figure;
ft_multiplotER(cfg,grandavg_14, grandavg_24, grandavg_34, grandavg_44);


-- 
Lin Cai
Department of Psychology, Peking University, Beijing 100871, P.R.China
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