Singh2018 / scripts /Figures3_6_ALL_ERPs_Amplitude_Statistics.m
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%% ALL ERPs amplitude figure and ttest2
clear ; clc;close all;
savedir='D:\Project_EEG_CC\CC_Results_step2_AllChannels_NEW\'; % Data are here with baseline correction
cd(savedir);
load('D:\Project_EEG_CC\mFiles\ONOFF.mat','ONOFF')
PDsx=[801:811,813:829]; % 824 S2 CC is bad (manage here)
CTLsx=[8010,8070,8060,890:914]; % 911 S1 CC is bad (manage here)
BigN=size(ONOFF,1)./2;
% load PD OFF and ON data
row=1;
for mi=1:size(ONOFF,1)
disp([num2str(ONOFF(mi,1)),'_Session_',num2str(ONOFF(mi,2)),'_PDDys_CC_ALL_GOODS.mat']);
if ONOFF(mi,1)==824 && ONOFF(mi,2)==2 % Bad EEG
VECTOR=NaN; ERPs=NaN(size_erp); POWER=NaN(size_power); POWER_REST=NaN(size_power); Baselines=NaN(60,50,2);
else
load([savedir,num2str(ONOFF(mi,1)),'_Session_',num2str(ONOFF(mi,2)),'_PDDys_CC_ALL_GOODS.mat']);
size_erp=size(ERPs); size_power=size(POWER);
end
if ONOFF(mi,3)==1 % ON
ON.ID(floor(row))=ONOFF(mi,1);
ON.Session(floor(row))=ONOFF(mi,2);
ON.ERPs(floor(row),:,:,:,:)=ERPs;
elseif ONOFF(mi,3)==0 % OFF
OFF.ID(floor(row))=ONOFF(mi,1);
OFF.Session(floor(row))=ONOFF(mi,2);
OFF.ERPs(floor(row),:,:,:,:)=ERPs;
end
row=row+.5;
clear ERPs VECTOR POWER;
end
% load control data
row=1;
for CTLi=CTLsx
disp([num2str(CTLi),'_Session_1_PDDys_CC_ALL_GOODS.mat']);
if ONOFF(mi,1)==911 && ONOFF(mi,2)==1 % Bad EEG
VECTOR=NaN; POWER=NaN(size_power); POWER_REST=NaN(size_power); Baselines=NaN(60,50,2);
else
load([savedir,num2str(CTLi),'_Session_1_PDDys_CC_ALL_GOODS.mat']);
end
CTL.ID(floor(row))=CTLi;
CTL.Session(floor(row))=1;
CTL.ERPs(floor(row),:,:,:,:)=ERPs;
row=row+1;
clear ERPs VECTOR POWER ;
end
CtlN=row-1;
%%%%%%%%%%%%%% Cue-locked ERPs
clearvars -except OFF ON CTL
tx2disp=-500:2:1000;
CHAN=21; % Cz
paneli = 1; % 1=Cue
% % % %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% FIGURE 3: Cue locked Amplitude %%%%%%%%%%%%%%%%
% %% Export positive deflection: P 195 ms
tsP = 195-25; teP = 195+25; % Cz
t1P = find (tx2disp ==tsP );
t2P = find (tx2disp ==teP );
% Export Negative deflection: N315 ms
tsN = 315-25; teN = 315+25; % Cz
t1N = find (tx2disp ==tsN );
t2N = find (tx2disp ==teN );
% conflict: 1=Correct; 2=Error
for i = 1:28
for conflict = 1:2
ERPCTL_PN(i,conflict) = abs (squeeze(nanmean(CTL.ERPs(i,CHAN,t1P:t2P,conflict,paneli)))- squeeze(nanmean(CTL.ERPs(i,CHAN,t1N:t2N,conflict,paneli))) );
ERPON_PN(i,conflict) = abs (squeeze(nanmean(ON.ERPs(i,CHAN,t1P:t2P,conflict,paneli))) - squeeze(nanmean(ON.ERPs(i,CHAN,t1N:t2N,conflict,paneli ))) );
end
end
ERPON1 = ERPON_PN(:,1); ERPON2 = ERPON_PN(:,2);
ERPON1(isnan(ERPON1)) = nanmean(ERPON1);
ERPON2(isnan(ERPON2)) = nanmean(ERPON2);
ERPON_PN = [ERPON1 ERPON2];
ERPCTL_PN(:,3) = ERPCTL_PN(:,2) - ERPCTL_PN(:,1); % Conf2-Conf1
ERPON_PN(:,3) = ERPON_PN(:,2) - ERPON_PN(:,1); % Conf2-Conf1
ERPCTL_m = nanmean(ERPCTL_PN);
SEMCTL1 = std(ERPCTL_PN(:,1))/sqrt(length(ERPCTL_PN(:,1))); SEMCTL2 = std(ERPCTL_PN(:,2))/sqrt(length(ERPCTL_PN(:,2))); SEMCTL21 = std(ERPCTL_PN(:,3))/sqrt(length(ERPCTL_PN(:,3)));
ERPON_m = nanmean(ERPON_PN);
SEMON1 = std(ERPON_PN(:,1))/sqrt(length(ERPON_PN(:,1))); SEMON2 = std(ERPON_PN(:,2))/sqrt(length(ERPON_PN(:,2))); SEMON21 = std(ERPON_PN(:,3))/sqrt(length(ERPON_PN(:,3)));
%%%%%%% ANOVA
p = anova_rm({ERPCTL_PN(:,1:2) ERPON_PN(:,1:2)});
clear p p1 p2 p21;
%% RESPONSE locked
close all;
clearvars -except OFF ON CTL
tx2disp=-500:2:1000;
CHAN=21; % Cz
paneli = 2; % 1=Cue ; 2=Resp
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% FIGURE 5: Response locked Amplitude %%%%%%%%%%%%%%%%
% %% Export positive deflection: P -55 ms
tsP = -55-25; teP = -55+25; % Cz
t1P = find (tx2disp ==tsP );
t2P = find (tx2disp ==teP );
% Export Negative deflection: N25 ms
tsN = 25-25; teN = 25+25; % Cz
t1N = find (tx2disp ==tsN );
t2N = find (tx2disp ==teN );
% conflict: 1=Correct; 2=Error
for i = 1:28
for conflict = 1:2
ERPCTL_PN(i,conflict) = abs (squeeze(nanmean(CTL.ERPs(i,CHAN,t1P:t2P,conflict,paneli)))- squeeze(nanmean(CTL.ERPs(i,CHAN,t1N:t2N,conflict,paneli))) );
ERPON_PN(i,conflict) = abs (squeeze(nanmean(ON.ERPs(i,CHAN,t1P:t2P,conflict,paneli))) - squeeze(nanmean(ON.ERPs(i,CHAN,t1N:t2N,conflict,paneli ))) );
end
end
ERPON1 = ERPON_PN(:,1); ERPON2 = ERPON_PN(:,2);
ERPON1(isnan(ERPON1)) = nanmean(ERPON1);
ERPON2(isnan(ERPON2)) = nanmean(ERPON2);
ERPON_PN = [ERPON1 ERPON2];
ERPCTL_PN(:,3) = ERPCTL_PN(:,2) - ERPCTL_PN(:,1); % Conf2-Conf1
ERPON_PN(:,3) = ERPON_PN(:,2) - ERPON_PN(:,1); % Conf2-Conf1
ERPCTL_m = nanmean(ERPCTL_PN);
SEMCTL1 = std(ERPCTL_PN(:,1))/sqrt(length(ERPCTL_PN(:,1))); SEMCTL2 = std(ERPCTL_PN(:,2))/sqrt(length(ERPCTL_PN(:,2))); SEMCTL21 = std(ERPCTL_PN(:,3))/sqrt(length(ERPCTL_PN(:,3)));
ERPON_m = nanmean(ERPON_PN);
SEMON1 = std(ERPON_PN(:,1))/sqrt(length(ERPON_PN(:,1))); SEMON2 = std(ERPON_PN(:,2))/sqrt(length(ERPON_PN(:,2))); SEMON21 = std(ERPON_PN(:,3))/sqrt(length(ERPON_PN(:,3)));
%%%%%%% ANOVA
p = anova_rm({ERPCTL_PN(:,1:2) ERPON_PN(:,1:2)});
clear p p1 p2 p21;
%% %% ################ Cong and Incong: Correct trials only ###################################################
% ALL ERPs amplitude figure and ttest2
clear ; clc;close all;
savedir='D:\Project_EEG_CC\CC_Results_step2_CORRECT_NEW\'; % Data are here with baseline correction
cd(savedir);
load('D:\Project_EEG_CC\mFiles\ONOFF.mat','ONOFF')
PDsx=[801:811,813:829]; % 824 S2 CC is bad (manage here)
CTLsx=[8010,8070,8060,890:914]; % 911 S1 CC is bad (manage here)
BigN=size(ONOFF,1)./2;
% load PD OFF and ON data
row=1;
for mi=1:size(ONOFF,1)
disp([num2str(ONOFF(mi,1)),'_Session_',num2str(ONOFF(mi,2)),'_PDDys_CC_ALL_GOODS.mat']);
if ONOFF(mi,1)==824 && ONOFF(mi,2)==2 % Bad EEG
VECTOR=NaN; ERPs=NaN(size_erp); POWER=NaN(size_power); POWER_REST=NaN(size_power); Baselines=NaN(60,50,2);
else
load([savedir,num2str(ONOFF(mi,1)),'_Session_',num2str(ONOFF(mi,2)),'_PDDys_CC_ALL_GOODS.mat']);
size_erp=size(ERPs); size_power=size(POWER);
end
if ONOFF(mi,3)==1 % ON
ON.ID(floor(row))=ONOFF(mi,1);
ON.Session(floor(row))=ONOFF(mi,2);
ON.ERPs(floor(row),:,:,:,:)=ERPs;
elseif ONOFF(mi,3)==0 % OFF
OFF.ID(floor(row))=ONOFF(mi,1);
OFF.Session(floor(row))=ONOFF(mi,2);
OFF.ERPs(floor(row),:,:,:,:)=ERPs;
end
row=row+.5;
clear ERPs VECTOR POWER;
end
% load control data
row=1;
for CTLi=CTLsx
disp([num2str(CTLi),'_Session_1_PDDys_CC_ALL_GOODS.mat']);
if ONOFF(mi,1)==911 && ONOFF(mi,2)==1 % Bad EEG
VECTOR=NaN; POWER=NaN(size_power); POWER_REST=NaN(size_power); Baselines=NaN(60,50,2);
else
load([savedir,num2str(CTLi),'_Session_1_PDDys_CC_ALL_GOODS.mat']);
end
CTL.ID(floor(row))=CTLi;
CTL.Session(floor(row))=1;
CTL.ERPs(floor(row),:,:,:,:)=ERPs;
row=row+1;
clear ERPs VECTOR POWER ;
end
CtlN=row-1;
% % ############################### ERPs......FIGURE 4: Cue-locked
clearvars -except OFF ON CTL
tx2disp=-500:2:1000;
CHAN=21; % Cz
% CHAN=36; % FCz
paneli = 2; % 1=Cue ; 2=Resp
% % % Export positive deflection: P -55 ms
tsP = -55-25; teP = -55+25; % Cz
t1P = find (tx2disp ==tsP );
t2P = find (tx2disp ==teP );
% Export Negative deflection: N15 ms
tsN = 15-25; teN = 15+25; % Cz
t1N = find (tx2disp ==tsN );
t2N = find (tx2disp ==teN );
% conflict: 1=Correct; 2=Error
for i = 1:28
for conflict = 1:2
ERPCTL_PN(i,conflict) = abs (squeeze(nanmean(CTL.ERPs(i,CHAN,t1P:t2P,conflict,paneli)))- squeeze(nanmean(CTL.ERPs(i,CHAN,t1N:t2N,conflict,paneli))) );
ERPON_PN(i,conflict) = abs (squeeze(nanmean(ON.ERPs(i,CHAN,t1P:t2P,conflict,paneli))) - squeeze(nanmean(ON.ERPs(i,CHAN,t1N:t2N,conflict,paneli ))) );
end
end
ERPON1 = ERPON_PN(:,1); ERPON2 = ERPON_PN(:,2);
ERPON1(isnan(ERPON1)) = nanmean(ERPON1);
ERPON2(isnan(ERPON2)) = nanmean(ERPON2);
ERPON_PN = [ERPON1 ERPON2];
ERPCTL_PN(:,3) = ERPCTL_PN(:,2) - ERPCTL_PN(:,1); % Conf2-Conf1
ERPON_PN(:,3) = ERPON_PN(:,2) - ERPON_PN(:,1); % Conf2-Conf1
ERPCTL_m = nanmean(ERPCTL_PN);
SEMCTL1 = std(ERPCTL_PN(:,1))/sqrt(length(ERPCTL_PN(:,1))); SEMCTL2 = std(ERPCTL_PN(:,2))/sqrt(length(ERPCTL_PN(:,2))); SEMCTL21 = std(ERPCTL_PN(:,3))/sqrt(length(ERPCTL_PN(:,3)));
ERPON_m = nanmean(ERPON_PN);
SEMON1 = std(ERPON_PN(:,1))/sqrt(length(ERPON_PN(:,1))); SEMON2 = std(ERPON_PN(:,2))/sqrt(length(ERPON_PN(:,2))); SEMON21 = std(ERPON_PN(:,3))/sqrt(length(ERPON_PN(:,3)));
%%%%%%% ANOVA
p = anova_rm({ERPCTL_PN(:,1:2) ERPON_PN(:,1:2)});
clear p p1 p2 p21;
%% %% ########### Post-Error ERPs analysis ###############################
clear ; clc;close all;
savedir='D:\Project_EEG_CC\CC_Project_PostError\PostError_step2_Data_NEW\'; % Main Data are here
cd(savedir);
load('D:\Project_EEG_CC\mFiles\ONOFF.mat','ONOFF')
PDsx=[801:811,813:829]; % 824 S2 CC is bad (manage here)
CTLsx=[8010,8070,8060,890:914]; % 911 S1 CC is bad (manage here)
BigN=size(ONOFF,1)./2;
% load PD OFF and ON data
row=1;
for mi=1:size(ONOFF,1)
disp([num2str(ONOFF(mi,1)),'_Session_',num2str(ONOFF(mi,2)),'_PDDys_CC_ALL_GOODS.mat']);
if ONOFF(mi,1)==824 && ONOFF(mi,2)==2 % Bad EEG
VECTOR=NaN; ERPs=NaN(size_erp); POWER=NaN(size_power); POWER_REST=NaN(size_power); Baselines=NaN(60,50,2);
else
load([savedir,num2str(ONOFF(mi,1)),'_Session_',num2str(ONOFF(mi,2)),'_PDDys_CC_ALL_GOODS.mat']);
size_erp=size(ERPs); size_power=size(POWER);
end
if ONOFF(mi,3)==1 % ON
ON.ID(floor(row))=ONOFF(mi,1);
ON.Session(floor(row))=ONOFF(mi,2);
ON.ERPs(floor(row),:,:,:,:)=ERPs;
elseif ONOFF(mi,3)==0 % OFF
OFF.ID(floor(row))=ONOFF(mi,1);
OFF.Session(floor(row))=ONOFF(mi,2);
OFF.ERPs(floor(row),:,:,:,:)=ERPs;
end
row=row+.5;
clear ERPs VECTOR POWER;
end
% load control data
row=1;
for CTLi=CTLsx
disp([num2str(CTLi),'_Session_1_PDDys_CC_ALL_GOODS.mat']);
if ONOFF(mi,1)==911 && ONOFF(mi,2)==1 % Bad EEG
VECTOR=NaN; POWER=NaN(size_power); POWER_REST=NaN(size_power); Baselines=NaN(60,50,2);
else
load([savedir,num2str(CTLi),'_Session_1_PDDys_CC_ALL_GOODS.mat']);
end
CTL.ID(floor(row))=CTLi;
CTL.Session(floor(row))=1;
CTL.ERPs(floor(row),:,:,:,:)=ERPs;
row=row+1;
clear ERPs VECTOR POWER ;
end
CtlN=row-1;
close all;
clearvars -except OFF ON CTL
tx2disp=-500:2:1000;
CHAN=21; % Cz
paneli = 2; % 1=Cue ; 2=Resp
% % %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% FIGURE 6: Response locked Amplitude %%%%%%%%%%%%%%%%
% %% Export positive deflection: P -25 ms
tsP = -25-25; teP = -25+25; % Cz
t1P = find (tx2disp ==tsP );
t2P = find (tx2disp ==teP );
% Export Negative deflection: N25 ms
tsN = 25-25; teN = 25+25; % Cz
t1N = find (tx2disp ==tsN );
t2N = find (tx2disp ==teN );
% conflict: 1=Correct; 2=Error
for i = 1:28
for conflict = 1:2
ERPCTL_PN(i,conflict) = abs (squeeze(nanmean(CTL.ERPs(i,CHAN,t1P:t2P,conflict,paneli)))- squeeze(nanmean(CTL.ERPs(i,CHAN,t1N:t2N,conflict,paneli))) );
ERPON_PN(i,conflict) = abs (squeeze(nanmean(ON.ERPs(i,CHAN,t1P:t2P,conflict,paneli))) - squeeze(nanmean(ON.ERPs(i,CHAN,t1N:t2N,conflict,paneli ))) );
end
end
ERPON1 = ERPON_PN(:,1); ERPON2 = ERPON_PN(:,2);
ERPON1(isnan(ERPON1)) = nanmean(ERPON1);
ERPON2(isnan(ERPON2)) = nanmean(ERPON2);
ERPON_PN = [ERPON1 ERPON2];
ERPCTL_PN(:,3) = ERPCTL_PN(:,2) - ERPCTL_PN(:,1); % Conf2-Conf1
ERPON_PN(:,3) = ERPON_PN(:,2) - ERPON_PN(:,1); % Conf2-Conf1
ERPCTL_m = nanmean(ERPCTL_PN);
SEMCTL1 = std(ERPCTL_PN(:,1))/sqrt(length(ERPCTL_PN(:,1))); SEMCTL2 = std(ERPCTL_PN(:,2))/sqrt(length(ERPCTL_PN(:,2))); SEMCTL21 = std(ERPCTL_PN(:,3))/sqrt(length(ERPCTL_PN(:,3)));
ERPON_m = nanmean(ERPON_PN);
SEMON1 = std(ERPON_PN(:,1))/sqrt(length(ERPON_PN(:,1))); SEMON2 = std(ERPON_PN(:,2))/sqrt(length(ERPON_PN(:,2))); SEMON21 = std(ERPON_PN(:,3))/sqrt(length(ERPON_PN(:,3)));
%%%%%%% ANOVA
p = anova_rm({ERPCTL_PN(:,1:2) ERPON_PN(:,1:2)});
clear p p1 p2 p21;