scripts/POWER_ROI_Statistics_FigS2.m

%%% Cue-locked and Response-locked Data POWER ROI 
close all;clear;clc;
%%%% get the data
savedir='D:\Project_EEG_CC\CC_Results_step2_AllChannels_NEW\'; 
cd(savedir);
load('D:\Project_EEG_CC\CC_Project_PostError\ONOFF.mat','ONOFF')
PDsx=[801:811,813:829];        %  824 S2 CC is bad (mange here)
CTLsx=[8010,8070,8060,890:914];  %  911 S1 CC is bad (mange 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
        POWER=NaN(size_power);
    else
        load([savedir,num2str(ONOFF(mi,1)),'_Session_',num2str(ONOFF(mi,2)),'_PDDys_CC_ALL_GOODS.mat']);
        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.POWER{1}(floor(row),:,:,:,:,:)=POWER;
                      
    elseif ONOFF(mi,3)==0 % OFF
        OFF.ID(floor(row))=ONOFF(mi,1);
        OFF.Session(floor(row))=ONOFF(mi,2);
        OFF.POWER{1}(floor(row),:,:,:,:,:)=POWER;
           
    end
    row=row+.5;
    clear POWER 
end
% load control data
row=1;

% % %% Cue-locked Data Correct and Error response: POWER ROI 
%############# get the POWER of region of interest and ANOVA-ResponseLocked
tx2disp=-500:2:1000;
frex=logspace(.01,1.7,50);
CHANI = 21; %%% channel Cz
Bidx=1;   % 1 is pre-cue baseline 
EVENT=1;  % cue

% Cue-locked
t1 = find (tx2disp==400); t2 = find (tx2disp==500);
fq1 = min(find(frex>3.8));   fq2 = min(find(frex>7.8));
 
for i = 1:28
    ROI_Pow_ON_1(i,:) =  mean( squeeze(nanmean(ON.POWER{Bidx}(i,CHANI,fq1:fq2,t1:t2,1,EVENT) )));
    ROI_Pow_OFF_1(i,:) = mean( squeeze(nanmean(OFF.POWER{Bidx} (i,CHANI,fq1:fq2,t1:t2,1,EVENT) )));
    
    ROI_Pow_ON_2(i,:) = mean( squeeze(nanmean(ON.POWER{Bidx}(i,CHANI,fq1:fq2,t1:t2,2,EVENT) )));
    ROI_Pow_OFF_2(i,:) = mean( squeeze(nanmean(OFF.POWER{Bidx} (i,CHANI,fq1:fq2,t1:t2,2,EVENT) ))); 
    
end

%%% replace NaN with mean value
ROI_Pow_OFF_2(isnan(ROI_Pow_OFF_2))=nanmean(ROI_Pow_OFF_2);
ROI_Pow_OFF_1(isnan(ROI_Pow_OFF_1))=nanmean(ROI_Pow_OFF_1);

ROI_Pow_ON_2(isnan(ROI_Pow_ON_2))=nanmean(ROI_Pow_ON_2);
ROI_Pow_ON_1(isnan(ROI_Pow_ON_1))=nanmean(ROI_Pow_ON_1);


% ANOVA
ROI_ON_CI = [ROI_Pow_ON_1 ROI_Pow_ON_2 ];
ROI_OFF_CI = [ROI_Pow_OFF_1 ROI_Pow_OFF_2 ];
p = anova_rm({ROI_ON_CI ROI_OFF_CI});
clear p;

%% Response-locked Data Correct and Error response: POWER ROI 
%############# get the POWER of region of interest and ANOVA-ResponseLocked
clearvars -except OFF ON CTL

tx2disp=-500:2:1000;
frex=logspace(.01,1.7,50);
CHANI = 21; %%% channel Cz
Bidx=1;   % 1 is pre-cue baseline 
EVENT=2;  % RESP

% %%%%%%%%   RESPONSE-LOCKED
% Response-locked

t1 = find (tx2disp==-200); t2 = find (tx2disp==50);
fq1 = min(find(frex>3.8));   fq2 = min(find(frex>7.8));
 
for i = 1:28
    ROI_Pow_ON_1(i,:) = mean( squeeze(nanmean(ON.POWER{Bidx}(i,CHANI,fq1:fq2,t1:t2,1,EVENT) )));
    ROI_Pow_OFF_1(i,:) = mean( squeeze(nanmean(OFF.POWER{Bidx} (i,CHANI,fq1:fq2,t1:t2,1,EVENT) )));
    
    ROI_Pow_ON_2(i,:) = mean( squeeze(nanmean(ON.POWER{Bidx}(i,CHANI,fq1:fq2,t1:t2,2,EVENT) )));
    ROI_Pow_OFF_2(i,:) = mean( squeeze(nanmean(OFF.POWER{Bidx} (i,CHANI,fq1:fq2,t1:t2,2,EVENT) ))); 
end

%%% replace NaN with mean value
ROI_Pow_OFF_2(isnan(ROI_Pow_OFF_2))=nanmean(ROI_Pow_OFF_2);
ROI_Pow_OFF_1(isnan(ROI_Pow_OFF_1))=nanmean(ROI_Pow_OFF_1);

ROI_Pow_ON_2(isnan(ROI_Pow_ON_2))=nanmean(ROI_Pow_ON_2);
ROI_Pow_ON_1(isnan(ROI_Pow_ON_1))=nanmean(ROI_Pow_ON_1);

% ANOVA
ROI_ON_CE = [ROI_Pow_ON_1 ROI_Pow_ON_2 ];
ROI_OFF_CE =  [ROI_Pow_OFF_1 ROI_Pow_OFF_2 ];

p = anova_rm({ROI_ON_CE ROI_OFF_CE});
clear p ;

%% CORRECT only : Cong and Incong
close all;clear;clc;
%%%% get the data
savedir='D:\Project_EEG_CC\CC_Results_step2_CORRECT_NEW\'; 
cd(savedir);
load('D:\Project_EEG_CC\CC_Project_PostError\ONOFF.mat','ONOFF')
PDsx=[801:811,813:829];        %  824 S2 CC is bad (mange here)
CTLsx=[8010,8070,8060,890:914];  %  911 S1 CC is bad (mange 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
        POWER=NaN(size_power);
    else
        load([savedir,num2str(ONOFF(mi,1)),'_Session_',num2str(ONOFF(mi,2)),'_PDDys_CC_ALL_GOODS.mat']);
        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.POWER{1}(floor(row),:,:,:,:,:)=POWER;
                     
    elseif ONOFF(mi,3)==0 % OFF
        OFF.ID(floor(row))=ONOFF(mi,1);
        OFF.Session(floor(row))=ONOFF(mi,2);
        OFF.POWER{1}(floor(row),:,:,:,:,:)=POWER;
            
    end
    row=row+.5;
    clear POWER 
end
% load control data
row=1;
% %
tx2disp=-500:2:1000;
frex=logspace(.01,1.7,50);
CHANI = 21; %%% channel Cz
Bidx=1;   % 1 is pre-cue baseline | 2 is rest baseline

% %%%%%%%%   RESPONSE-LOCKED
% Response-locked
t1 = find (tx2disp==-200); t2 = find (tx2disp==50);
fq1 = min(find(frex>3.8));   fq2 = min(find(frex>7.8));
 
for i = 1:28
    ROI_Pow_ON_1(i,:) =   mean( squeeze(nanmean(ON.POWER{Bidx}(i,CHANI,fq1:fq2,t1:t2,1) )));
    ROI_Pow_OFF_1(i,:) =  mean( squeeze(nanmean(OFF.POWER{Bidx} (i,CHANI,fq1:fq2,t1:t2,1) )));
    
    ROI_Pow_ON_2(i,:) = mean( squeeze(nanmean(ON.POWER{Bidx}(i,CHANI,fq1:fq2,t1:t2,2) )));
    ROI_Pow_OFF_2(i,:) =  mean( squeeze(nanmean(OFF.POWER{Bidx} (i,CHANI,fq1:fq2,t1:t2,2) ))); 
end

%%% replace NaN with mean value
ROI_Pow_OFF_2(isnan(ROI_Pow_OFF_2))=nanmean(ROI_Pow_OFF_2);
ROI_Pow_OFF_1(isnan(ROI_Pow_OFF_1))=nanmean(ROI_Pow_OFF_1);

ROI_Pow_ON_2(isnan(ROI_Pow_ON_2))=nanmean(ROI_Pow_ON_2);
ROI_Pow_ON_1(isnan(ROI_Pow_ON_1))=nanmean(ROI_Pow_ON_1);

% ANOVA
ROI_ON_CI = [ROI_Pow_ON_1 ROI_Pow_ON_2 ];
ROI_OFF_CI = [ROI_Pow_OFF_1 ROI_Pow_OFF_2 ];

p = anova_rm({ROI_ON_CI ROI_OFF_CI});
clear p ;


%% Post Correct and Post Error Data: POWER ROI 
close all; clear; clc;
%%%% get the data
savedir='D:\Project_EEG_CC\CC_Project_PostError\PostError_step2_Data_NEW\';   % Main Data are here
cd(savedir);
load('D:\Project_EEG_CC\CC_Project_PostError\ONOFF.mat','ONOFF')
PDsx=[801:811,813:829];        %  824 S2 CC is bad (mange here)
CTLsx=[8010,8070,8060,890:914];  %  911 S1 CC is bad (mange 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
        POWER=NaN(size_power);
    else
        load([savedir,num2str(ONOFF(mi,1)),'_Session_',num2str(ONOFF(mi,2)),'_PDDys_CC_ALL_GOODS.mat']);
        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.POWER{1}(floor(row),:,:,:,:,:)=POWER;
                      
    elseif ONOFF(mi,3)==0 % OFF
        OFF.ID(floor(row))=ONOFF(mi,1);
        OFF.Session(floor(row))=ONOFF(mi,2);
        OFF.POWER{1}(floor(row),:,:,:,:,:)=POWER;
           
    end
    row=row+.5;
    clear POWER 
end
% load control data
row=1;

% % ############# get the POWER of region of interest and ANOVA-ResponseLocked

tx2disp=-500:2:1000;
frex=logspace(.01,1.7,50);
CHANI = 21; %%% channel Cz
Bidx=1;   % 1 is pre-cue baseline | 2 is rest baseline
EVENT=2;  % RESP

% %%%%%%%%   RESPONSE-LOCKED
% Response-locked
t1 = find (tx2disp==-200); t2 = find (tx2disp==50);
fq1 = min(find(frex>3.8));   fq2 = min(find(frex>7.8));

for i = 1:28
    ROI_Pow_ON_1(i,:) = mean( squeeze(nanmean(ON.POWER{Bidx}(i,CHANI,fq1:fq2,t1:t2,1,EVENT) )));
    ROI_Pow_OFF_1(i,:) =  mean( squeeze(nanmean(OFF.POWER{Bidx} (i,CHANI,fq1:fq2,t1:t2,1,EVENT) )));
    
    ROI_Pow_ON_2(i,:) = mean( squeeze(nanmean(ON.POWER{Bidx}(i,CHANI,fq1:fq2,t1:t2,2,EVENT) )));
    ROI_Pow_OFF_2(i,:) =  mean( squeeze(nanmean(OFF.POWER{Bidx} (i,CHANI,fq1:fq2,t1:t2,2,EVENT) ))); 
end

%%% replace NaN with mean value
ROI_Pow_OFF_2(isnan(ROI_Pow_OFF_2))=nanmean(ROI_Pow_OFF_2);
ROI_Pow_OFF_1(isnan(ROI_Pow_OFF_1))=nanmean(ROI_Pow_OFF_1);

ROI_Pow_ON_2(isnan(ROI_Pow_ON_2))=nanmean(ROI_Pow_ON_2);
ROI_Pow_ON_1(isnan(ROI_Pow_ON_1))=nanmean(ROI_Pow_ON_1);

% ANOVA
ROI_ON_PCE = [ROI_Pow_ON_1 ROI_Pow_ON_2 ];
ROI_OFF_PCE = [ROI_Pow_OFF_1 ROI_Pow_OFF_2 ];
 
p = anova_rm({ROI_ON_PCE ROI_OFF_PCE});
clear p p1 p2 p21;