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%% Control and PD OFF: Statistics for POWER ROIs
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;
for CTLi=CTLsx
disp([num2str(CTLi),'_Session_1_PDDys_CC_ALL_GOODS.mat']);
if ONOFF(mi,1)==911 && ONOFF(mi,2)==1 % Bad EEG
POWER=NaN(size_power);POWER_REST=NaN(size_power);
else
load([savedir,num2str(CTLi),'_Session_1_PDDys_CC_ALL_GOODS.mat']);
end
CTL.ID(floor(row))=CTLi;
CTL.Session(floor(row))=1;
CTL.POWER{1}(floor(row),:,:,:,:,:)=POWER;
row=row+1;
clear POWER;
end
CtlN=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_CTL_1(i,:) = mean( squeeze(nanmean(CTL.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_CTL_2(i,:) = mean( squeeze(nanmean(CTL.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);
% ANOVA
ROI_CTL_CI = [ROI_Pow_CTL_1 ROI_Pow_CTL_2 ];
ROI_OFF_CI = [ROI_Pow_OFF_1 ROI_Pow_OFF_2 ];
p = anova_rm({ROI_CTL_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_CTL_1(i,:) = mean( squeeze(nanmean(CTL.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_CTL_2(i,:) = mean( squeeze(nanmean(CTL.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);
% ANOVA
ROI_CTL_CE = [ROI_Pow_CTL_1 ROI_Pow_CTL_2 ];
ROI_OFF_CE = [ROI_Pow_OFF_1 ROI_Pow_OFF_2 ];
p = anova_rm({ROI_CTL_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;
for CTLi=CTLsx
disp([num2str(CTLi),'_Session_1_PDDys_CC_ALL_GOODS.mat']);
if ONOFF(mi,1)==911 && ONOFF(mi,2)==1 % Bad EEG
POWER=NaN(size_power);
else
load([savedir,num2str(CTLi),'_Session_1_PDDys_CC_ALL_GOODS.mat']);
end
CTL.ID(floor(row))=CTLi;
CTL.Session(floor(row))=1;
CTL.POWER{1}(floor(row),:,:,:,:,:)=POWER;
row=row+1;
clear POWER
end
CtlN=row-1;
% %
tx2disp=-500:2:1000;
frex=logspace(.01,1.7,50);
CHANI = 21; %%% channel Cz
Bidx=1; % 1 is pre-cue 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_CTL_1(i,:) = mean( squeeze(nanmean(CTL.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_CTL_2(i,:) = mean( squeeze(nanmean(CTL.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);
% ANOVA
ROI_CTL_CI = [ROI_Pow_CTL_1 ROI_Pow_CTL_2 ];
ROI_OFF_CI = [ROI_Pow_OFF_1 ROI_Pow_OFF_2 ];
p = anova_rm({ROI_CTL_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;
for CTLi=CTLsx
disp([num2str(CTLi),'_Session_1_PDDys_CC_ALL_GOODS.mat']);
if ONOFF(mi,1)==911 && ONOFF(mi,2)==1 % Bad EEG
POWER=NaN(size_power);POWER_REST=NaN(size_power);
else
load([savedir,num2str(CTLi),'_Session_1_PDDys_CC_ALL_GOODS.mat']);
end
CTL.ID(floor(row))=CTLi;
CTL.Session(floor(row))=1;
CTL.POWER{1}(floor(row),:,:,:,:,:)=POWER;
row=row+1;
clear POWER
end
CtlN=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
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_CTL_1(i,:) = mean( squeeze(nanmean(CTL.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_CTL_2(i,:) = mean( squeeze(nanmean(CTL.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);
% ANOVA
ROI_CTL_PCE = [ROI_Pow_CTL_1 ROI_Pow_CTL_2 ];
ROI_OFF_PCE = [ROI_Pow_OFF_1 ROI_Pow_OFF_2 ];
p = anova_rm({ROI_CTL_PCE ROI_OFF_PCE});
clear p ;
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