Datasets:

jalauer
/

Gruendler2009

%% Step 3 - View ERPs
clear all; clc
addpath('Z:\EXPERIMENTS\Flankers t2t\');
datalocation='Y:\EEG_Data\Flankers OCDII\ERPs\';   % Data are here
cd(datalocation);
load('Z:\EXPERIMENTS\Flankers t2t\NScan_Chanlocs_60.mat');

FILZ=dir('*_ERPs_2018_Revision_withErrors.mat');

sidx=1;
for si=1:length(FILZ)
    
    load(FILZ(si).name);
    
    load(['Y:\EEG_Data\Flankers OCDII\Processed Data\',num2str(FILZ(si).name(1:3)),'_BEH_VECTOR.mat'],'BEH_VECTOR');

    
    if SUBJINFO(6)<=21
        MEGA_ERP(sidx,:,:,:)=ERP;
        MEGA_ERP_RESP(sidx,:,:)=ERP_RESP;
        MEGA_ERP_RESP_All(sidx,:,:,:)=ERP_RESP_All;
        MEGA_SUBJINFO(sidx,:)=SUBJINFO;
        BEH{sidx}=VECTOR;
        BEH_WithErrors{sidx}=BEH_VECTOR;
        for tfi=1:2
            MEGA_PWR{tfi}(sidx,:,:,:)=POWER{tfi};
            MEGA_PHS{tfi}(sidx,:,:,:)=ITPC{tfi};
        end
        
        % From revision
        MEGA_ERP_minsize(sidx,:,:,:)=ERP_minsize;  % Same as ERPs, but limited to min trial ct size
        MEGA_ERP_LRP_minsize(sidx,:,:,:)=ERP_LRP_minsize;  % Same as ERP LRPs, but limited to min trial ct size
        % ^^^^^^^^
        MEGA_ERP_LRP_to_STIM(sidx,:,:)=ERP_LRP_to_STIM;  % Same as LRP, but stim-locked
        % ^^^^^^^^
        MEGA_ERP_Corr(sidx,:,:,:)=ERP_Corr;  % single trial RT corr
        MEGA_ERP_RESP_Corr(sidx,:,:)=ERP_RESP_Corr; % single trial RT corr - LRP
        
        sidx=sidx+1;
    end
    
    
     clear SUBJINFO SUBJINFO_HDR VECTOR BEH_VECTOR POWER ITPC ERP_RESP_All BEH_VECTOR;
     clear ERP_LRP_to_STIM ERP_minsize ERP_Corr ERP_RESP_Corr
end

%% ACCURACY
for si=1:23
    VECTOR=BEH_WithErrors{si};
    
    VECTOR(VECTOR(:,7)==1,[3,6])=NaN; % No blockstarts
    VECTOR(VECTOR(:,5)<200,[3,6])=NaN; % If RT<200 or NaN, then NaN the row
    VECTOR(isnan(VECTOR(:,5)),[3,6])=NaN;
    
    VECTOR(:,9)=[99;VECTOR(1:end-1,3)]; % prev congru
    VECTOR(:,10)=[99;VECTOR(1:end-1,4)]; % prev RightLeft
    for ai=1:length(VECTOR)
        if ~isnan(VECTOR(ai,3))
            GRATTON=NaN; RESPS=NaN;
            % ---------------------- congruent (1) or conflict (0)
            if      VECTOR(ai,9)==1 && VECTOR(ai,3)==1, GRATTON=1;  %  cC
            elseif  VECTOR(ai,9)==1 && VECTOR(ai,3)==0, GRATTON=2;  %  cI
            elseif  VECTOR(ai,9)==0 && VECTOR(ai,3)==1, GRATTON=3;  %  iC
            elseif  VECTOR(ai,9)==0 && VECTOR(ai,3)==0, GRATTON=4;  %  iI
            end
            % ---------------------- [Right=1, Left=2]
            if      VECTOR(ai,10)==1 && VECTOR(ai,4)==1, RESPS=1; %  rR
            elseif  VECTOR(ai,10)==2 && VECTOR(ai,4)==2, RESPS=1; %  lL
            elseif  VECTOR(ai,10)==1 && VECTOR(ai,4)==2, RESPS=10; %  rL
            elseif  VECTOR(ai,10)==2 && VECTOR(ai,4)==1, RESPS=10; %  lR
            end
            % ----------------------
            VECTOR(ai,14)=GRATTON;
            VECTOR(ai,15)=RESPS;
            VECTOR(ai,16)=GRATTON.*RESPS;
            clear GRATTON RESPS
        else
              % ----------------------
            VECTOR(ai,14)=NaN;
            VECTOR(ai,15)=NaN;
            VECTOR(ai,16)=NaN;
        end
    end
    BEH_WithErrors{si}=VECTOR;
end
thecondis={'REPEAT cC','REPEAT cI','REPEAT iC','REPEAT iI','Change cC','Change cI','Change iC','Change iI'};
CONDIS=[5,6,7,8,1,2,3,4];
PANEL=[1,1,2,2,4,4,5,5];
COLOR={'bo','ro','bo','ro','bo','ro','bo','ro'};

for si=1:length(BEH_WithErrors)
    VECTOR=BEH_WithErrors{si};
    UNIQUES=unique(VECTOR(:,16));
    UNIQUES=UNIQUES(UNIQUES>0);
    for ai=1:8
        Acc(si,ai)=nanmean(VECTOR(VECTOR(:,16)==UNIQUES(ai),6));
    end
    clear VECTOR;
end

figure; hold on
plot(1,mean(Acc(:,CONDIS(1))),COLOR{1});   
plot(1,mean(Acc(:,CONDIS(2))),COLOR{2});  
legend({'CONG','INCONG'},'Location','NorthWest')
for condi=1:8
   plot(PANEL(condi),mean(Acc(:,CONDIS(condi))),COLOR{condi});   
   errorbar(PANEL(condi),mean(Acc(:,CONDIS(condi))),std(Acc(:,CONDIS(condi)))/sqrt(size(Acc,1)),'k.');   
end
plot([1 2],[mean(Acc(:,CONDIS(1))) mean(Acc(:,CONDIS(3)))],'k-');  
plot([1 2],[mean(Acc(:,CONDIS(2))) mean(Acc(:,CONDIS(4)))],'k-');  
plot([4 5],[mean(Acc(:,CONDIS(5))) mean(Acc(:,CONDIS(7)))],'k-');  
plot([4 5],[mean(Acc(:,CONDIS(6))) mean(Acc(:,CONDIS(8)))],'k-');  
ylabel('%');
set(gca,'xlim',[0 6],'xtick',[1:1:5],'xticklabel',{'PREV C','PREV I','','PREV C','PREV I'});
title('Acc');

Acc=1-Acc;

figure; hold on
plot(1,mean(Acc(:,CONDIS(1))),COLOR{1});   
plot(1,mean(Acc(:,CONDIS(2))),COLOR{2});  
legend({'CONG','INCONG'},'Location','NorthWest')
for condi=1:8
   plot(PANEL(condi),mean(Acc(:,CONDIS(condi))),COLOR{condi});   
   errorbar(PANEL(condi),mean(Acc(:,CONDIS(condi))),std(Acc(:,CONDIS(condi)))/sqrt(size(Acc,1)),'k.');   
end
plot([1 2],[mean(Acc(:,CONDIS(1))) mean(Acc(:,CONDIS(3)))],'k-');  
plot([1 2],[mean(Acc(:,CONDIS(2))) mean(Acc(:,CONDIS(4)))],'k-');  
plot([4 5],[mean(Acc(:,CONDIS(5))) mean(Acc(:,CONDIS(7)))],'k-');  
plot([4 5],[mean(Acc(:,CONDIS(6))) mean(Acc(:,CONDIS(8)))],'k-');  
ylabel('err');
set(gca,'xlim',[0 6],'xtick',[1:1:5],'xticklabel',{'PREV C','PREV I','','PREV C','PREV I'});
title('Error Rate');

%% Do Beh
for si=1:length(BEH)
    VECTOR=BEH{si};
    UNIQUES=unique(VECTOR(:,16));
    UNIQUES=UNIQUES(UNIQUES>0);
    
% %     % ----------------  limit based on lowest epoch count % ----------------  % ----------------  
% %     for ai=1:8
% %         TEMP_by_set{ai}=VECTOR(VECTOR(:,16)==UNIQUES(ai),:);
% %         TEMP_by_set_SIZE(ai)=size(TEMP_by_set{ai},1);
% %     end
% %     TEMP_minsize=min(TEMP_by_set_SIZE);
% %     % ----
% %     for ai=1:8
% %         TEMP_TRIALS=1:TEMP_by_set_SIZE(ai);
% %         TEMP_TRIALS=shuffle(TEMP_TRIALS);
% %         RT(si,ai)=squeeze(nanmean(  TEMP_by_set{ai}(TEMP_TRIALS(1:TEMP_minsize),5) ));
% %         clear TEMP_TRIALS
% %     end
% %     clear TEMP_by_set TEMP_by_set_SIZE TEMP_minsize TEMP_by_set_SIZE;
% %     % ----------------  % ----------------  % ----------------  % ----------------  % ----------------  
    
    for ai=1:8
        RT(si,ai)=nanmean(VECTOR(VECTOR(:,16)==UNIQUES(ai),5));
        RTdiff(si,ai)=nanmean(VECTOR(VECTOR(:,16)==UNIQUES(ai),5))-nanmean(VECTOR(VECTOR(:,16)==UNIQUES(ai),11));
    end
    clear VECTOR;
end

thecondis={'REPEAT cC','REPEAT cI','REPEAT iC','REPEAT iI','Change cC','Change cI','Change iC','Change iI'};
CONDIS=[5,6,7,8,1,2,3,4];
PANEL=[1,1,2,2,4,4,5,5];
COLOR={'bo','ro','bo','ro','bo','ro','bo','ro'};

figure; hold on
plot(1,mean(RT(:,CONDIS(1))),COLOR{1});   
plot(1,mean(RT(:,CONDIS(2))),COLOR{2});  
legend({'CONG','INCONG'},'Location','NorthWest')
for condi=1:8
   plot(PANEL(condi),mean(RT(:,CONDIS(condi))),COLOR{condi});   
   errorbar(PANEL(condi),mean(RT(:,CONDIS(condi))),std(RT(:,CONDIS(condi)))/sqrt(size(RT,1)),'k.');   
end
plot([1 2],[mean(RT(:,CONDIS(1))) mean(RT(:,CONDIS(3)))],'k-');  
plot([1 2],[mean(RT(:,CONDIS(2))) mean(RT(:,CONDIS(4)))],'k-');  
plot([4 5],[mean(RT(:,CONDIS(5))) mean(RT(:,CONDIS(7)))],'k-');  
plot([4 5],[mean(RT(:,CONDIS(6))) mean(RT(:,CONDIS(8)))],'k-');  
ylabel('ms');
set(gca,'xlim',[0 6],'xtick',[1:1:5],'xticklabel',{'PREV C','PREV I','','PREV C','PREV I'});
title('RT');

figure; hold on
plot(1,mean(RTdiff(:,CONDIS(1))),COLOR{1});   
plot(1,mean(RTdiff(:,CONDIS(2))),COLOR{2});  
legend({'CONG','INCONG'},'Location','NorthWest')
for condi=1:8
   plot(PANEL(condi),mean(RTdiff(:,CONDIS(condi))),COLOR{condi});   
   errorbar(PANEL(condi),mean(RTdiff(:,CONDIS(condi))),std(RTdiff(:,CONDIS(condi)))/sqrt(size(RTdiff,1)),'k.');   
end
plot([1 2],[mean(RTdiff(:,CONDIS(1))) mean(RTdiff(:,CONDIS(3)))],'k-');  
plot([1 2],[mean(RTdiff(:,CONDIS(2))) mean(RTdiff(:,CONDIS(4)))],'k-');  
plot([4 5],[mean(RTdiff(:,CONDIS(5))) mean(RTdiff(:,CONDIS(7)))],'k-');  
plot([4 5],[mean(RTdiff(:,CONDIS(6))) mean(RTdiff(:,CONDIS(8)))],'k-');  
ylabel('ms');
set(gca,'xlim',[0 6],'xtick',[1:1:5],'xticklabel',{'PREV C','PREV I','','PREV C','PREV I'});
title('RTdiff');


%% View Demographics

figure;
subplot(1,4,1:3); hold on
boxplot(MEGA_SUBJINFO(:,[3,5,6]));
ylabel('count');
set(gca,'xlim',[0 4],'xtick',[1:1:3],'xticklabel',{'Error %','Age','OCI'});
title('Demographics');
subplot(1,4,4); hold on
pie([sum(MEGA_SUBJINFO(:,4)==1),sum(MEGA_SUBJINFO(:,4)==2)])
title('Sex: % Male');


%% CONFLICT  CONGRUENT
BigN=size(MEGA_ERP,1);
tx=-2000:2:1998;
t1=find(tx==-500);  t2=find(tx==1000);
tx2disp=-500:2:1000;

P2=200; P2range=10;  % in ms
N2=275; N2range=20;
P3=450; P3range=150;
LATE=700; LATErange=250;

figure; 
subplot(4,1,1); hold on
plot(tx2disp,squeeze(mean(mean(MEGA_ERP(:,19,t1:t2,[2,4,6,8]),4),1)),'r','linewidth',2);
plot(tx2disp,squeeze(mean(mean(MEGA_ERP(:,19,t1:t2,[1,3,5,7]),4),1)),'b','linewidth',2);
shadedErrorBar(tx2disp,squeeze(mean(mean(MEGA_ERP(:,19,t1:t2,[2,4,6,8]),4),1)),squeeze(std(mean(MEGA_ERP(:,19,t1:t2,[2,4,6,8]),4),1))./sqrt(BigN),'r');
shadedErrorBar(tx2disp,squeeze(mean(mean(MEGA_ERP(:,19,t1:t2,[1,3,5,7]),4),1)),squeeze(std(mean(MEGA_ERP(:,19,t1:t2,[1,3,5,7]),4),1))./sqrt(BigN),'b');
plot(tx2disp,squeeze(mean(mean(MEGA_ERP(:,19,t1:t2,[2,4,6,8]),4),1)),'r','linewidth',2);
plot(tx2disp,squeeze(mean(mean(MEGA_ERP(:,19,t1:t2,[1,3,5,7]),4),1)),'b','linewidth',2);
plot(mean(mean(RT(:,[2,4,6,8]))),[10],'ro'); 
plot(mean(mean(RT(:,[1,3,5,7]))),[10],'bo');
plot([0 0],[-5 15],'k:'); plot([-500 1000],[0 0],'k:');
plot([P2 P2],[-5 15],'m'); plot([P2-10 P2-10],[-5 15],'c'); plot([P2+10 P2+10],[-5 15],'c'); text(P2,-5,'P2');
plot([N2 N2],[-5 15],'m'); plot([N2-20 N2-20],[-5 15],'c'); plot([N2+20 N2+20],[-5 15],'c'); text(N2,-5,'N2');
title('FCz')
legend({'CONFLICT','CONGRUENT'})

subplot(4,1,2); hold on
shadedErrorBar(tx2disp,squeeze(mean(mean(MEGA_ERP(:,28,t1:t2,[2,4,6,8]),4),1)),squeeze(std(mean(MEGA_ERP(:,28,t1:t2,[2,4,6,8]),4),1))./sqrt(BigN),'r');
shadedErrorBar(tx2disp,squeeze(mean(mean(MEGA_ERP(:,28,t1:t2,[1,3,5,7]),4),1)),squeeze(std(mean(MEGA_ERP(:,28,t1:t2,[1,3,5,7]),4),1))./sqrt(BigN),'b');
plot(tx2disp,squeeze(mean(mean(MEGA_ERP(:,28,t1:t2,[2,4,6,8]),4),1)),'r','linewidth',2);
plot(tx2disp,squeeze(mean(mean(MEGA_ERP(:,28,t1:t2,[1,3,5,7]),4),1)),'b','linewidth',2);
plot(mean(mean(RT(:,[2,4,6,8]))),[10],'ro'); 
plot(mean(mean(RT(:,[1,3,5,7]))),[10],'bo');
plot([0 0],[-5 15],'k:'); plot([-500 1000],[0 0],'k:');
plot([P2 P2],[-5 15],'m'); plot([P2-10 P2-10],[-5 15],'c'); plot([P2+10 P2+10],[-5 15],'c'); text(P2,-5,'P2');
plot([N2 N2],[-5 15],'m'); plot([N2-20 N2-20],[-5 15],'c'); plot([N2+20 N2+20],[-5 15],'c'); text(N2,-5,'N2');
plot([P3 P3],[-5 15],'m'); plot([P3-P3range P3-P3range],[-5 15],'c'); plot([P3+P3range P3+P3range],[-5 15],'c'); text(P3,-5,'P3');
title('Cz')

subplot(4,1,3); hold on
shadedErrorBar(tx2disp,squeeze(mean(mean(MEGA_ERP(:,46,t1:t2,[2,4,6,8]),4),1)),squeeze(std(mean(MEGA_ERP(:,46,t1:t2,[2,4,6,8]),4),1))./sqrt(BigN),'r');
shadedErrorBar(tx2disp,squeeze(mean(mean(MEGA_ERP(:,46,t1:t2,[1,3,5,7]),4),1)),squeeze(std(mean(MEGA_ERP(:,46,t1:t2,[1,3,5,7]),4),1))./sqrt(BigN),'b');
plot(tx2disp,squeeze(mean(mean(MEGA_ERP(:,46,t1:t2,[2,4,6,8]),4),1)),'r','linewidth',2);
plot(tx2disp,squeeze(mean(mean(MEGA_ERP(:,46,t1:t2,[1,3,5,7]),4),1)),'b','linewidth',2);
plot(mean(mean(RT(:,[2,4,6,8]))),[10],'ro'); 
plot(mean(mean(RT(:,[1,3,5,7]))),[10],'bo');
plot([0 0],[-5 15],'k:'); plot([-500 1000],[0 0],'k:');
plot([P3 P3],[-5 15],'m'); plot([P3-P3range P3-P3range],[-5 15],'c'); plot([P3+P3range P3+P3range],[-5 15],'c'); text(P3,-5,'P3');
plot([LATE LATE],[-5 15],'m'); plot([LATE-LATErange LATE-LATErange],[-5 15],'c'); plot([LATE+LATErange LATE+LATErange],[-5 15],'c'); text(LATE,-5,'LATE');
title('Pz')

subplot(4,1,4); hold on
tx=-2000:2:1998;
LRP_t1=find(tx==-1000);  LRP_t2=find(tx==500);
LRP_tx2disp=-1000:2:500;
shadedErrorBar(LRP_tx2disp,squeeze(mean(mean(MEGA_ERP_RESP(:,LRP_t1:LRP_t2,[2,4,6,8]),3),1)),squeeze(std(mean(MEGA_ERP_RESP(:,LRP_t1:LRP_t2,[2,4,6,8]),3),1))./sqrt(BigN),'r');
shadedErrorBar(LRP_tx2disp,squeeze(mean(mean(MEGA_ERP_RESP(:,LRP_t1:LRP_t2,[1,3,5,7]),3),1)),squeeze(std(mean(MEGA_ERP_RESP(:,LRP_t1:LRP_t2,[1,3,5,7]),3),1))./sqrt(BigN),'b');
plot(LRP_tx2disp,squeeze(mean(mean(MEGA_ERP_RESP(:,LRP_t1:LRP_t2,[2,4,6,8]),3),1)),'r','linewidth',2);
plot(LRP_tx2disp,squeeze(mean(mean(MEGA_ERP_RESP(:,LRP_t1:LRP_t2,[1,3,5,7]),3),1)),'b','linewidth',2);
plot([0 0],[-4 4],'k:'); plot([-1000 500],[0 0],'k:');
plot([-300 -300],[-2 2],'c'); plot([-150 -150],[-2 2],'c'); 
plot([-150 -150],[-2 2],'c'); plot([-50 -50],[-2 2],'c');
title('LRP')


%% REPEAT vs. SWITCH

figure; 
site=19;
subplot(4,1,1); hold on
plot(tx2disp,squeeze(mean(mean(MEGA_ERP(:,site,t1:t2,1:4),4),1)),'k','linewidth',2);
plot(tx2disp,squeeze(mean(mean(MEGA_ERP(:,site,t1:t2,5:8),4),1)),'g','linewidth',2);
shadedErrorBar(tx2disp,squeeze(mean(mean(MEGA_ERP(:,site,t1:t2,1:4),4),1)),squeeze(std(mean(MEGA_ERP(:,site,t1:t2,1:4),4),1))./sqrt(BigN),'k');
shadedErrorBar(tx2disp,squeeze(mean(mean(MEGA_ERP(:,site,t1:t2,5:8),4),1)),squeeze(std(mean(MEGA_ERP(:,site,t1:t2,5:8),4),1))./sqrt(BigN),'g');
plot(tx2disp,squeeze(mean(mean(MEGA_ERP(:,site,t1:t2,1:4),4),1)),'k','linewidth',2);
plot(tx2disp,squeeze(mean(mean(MEGA_ERP(:,site,t1:t2,5:8),4),1)),'g','linewidth',2);
plot(mean(mean(RT(:,1:4))),[10],'ko'); 
plot(mean(mean(RT(:,5:8))),[10],'go');
plot([0 0],[-5 15],'k:'); plot([-500 1000],[0 0],'k:');
plot([P2 P2],[-5 15],'m'); plot([P2-10 P2-10],[-5 15],'c'); plot([P2+10 P2+10],[-5 15],'c'); text(P2,-5,'P2');
plot([N2 N2],[-5 15],'m'); plot([N2-20 N2-20],[-5 15],'c'); plot([N2+20 N2+20],[-5 15],'c'); text(N2,-5,'N2');
title('FCz')
legend({'REPEAT','SWITCH'})

subplot(4,1,2); hold on
site=28;
shadedErrorBar(tx2disp,squeeze(mean(mean(MEGA_ERP(:,site,t1:t2,1:4),4),1)),squeeze(std(mean(MEGA_ERP(:,site,t1:t2,1:4),4),1))./sqrt(BigN),'k');
shadedErrorBar(tx2disp,squeeze(mean(mean(MEGA_ERP(:,site,t1:t2,5:8),4),1)),squeeze(std(mean(MEGA_ERP(:,site,t1:t2,5:8),4),1))./sqrt(BigN),'g');
plot(tx2disp,squeeze(mean(mean(MEGA_ERP(:,site,t1:t2,1:4),4),1)),'k','linewidth',2);
plot(tx2disp,squeeze(mean(mean(MEGA_ERP(:,site,t1:t2,5:8),4),1)),'g','linewidth',2);
plot(mean(mean(RT(:,1:4))),[10],'ko'); 
plot(mean(mean(RT(:,5:8))),[10],'go');
plot([0 0],[-5 15],'k:'); plot([-500 1000],[0 0],'k:');
plot([P2 P2],[-5 15],'m'); plot([P2-10 P2-10],[-5 15],'c'); plot([P2+10 P2+10],[-5 15],'c'); text(P2,-5,'P2');
plot([N2 N2],[-5 15],'m'); plot([N2-20 N2-20],[-5 15],'c'); plot([N2+20 N2+20],[-5 15],'c'); text(N2,-5,'N2');
plot([P3 P3],[-5 15],'m'); plot([P3-P3range P3-P3range],[-5 15],'c'); plot([P3+P3range P3+P3range],[-5 15],'c'); text(P3,-5,'P3');
title('Cz')

subplot(4,1,3); hold on
site=46;
shadedErrorBar(tx2disp,squeeze(mean(mean(MEGA_ERP(:,site,t1:t2,1:4),4),1)),squeeze(std(mean(MEGA_ERP(:,site,t1:t2,1:4),4),1))./sqrt(BigN),'k');
shadedErrorBar(tx2disp,squeeze(mean(mean(MEGA_ERP(:,site,t1:t2,5:8),4),1)),squeeze(std(mean(MEGA_ERP(:,site,t1:t2,5:8),4),1))./sqrt(BigN),'g');
plot(tx2disp,squeeze(mean(mean(MEGA_ERP(:,site,t1:t2,1:4),4),1)),'k','linewidth',2);
plot(tx2disp,squeeze(mean(mean(MEGA_ERP(:,site,t1:t2,5:8),4),1)),'g','linewidth',2);
plot(mean(mean(RT(:,1:4))),[10],'ko'); 
plot(mean(mean(RT(:,5:8))),[10],'go');
plot([0 0],[-5 15],'k:'); plot([-500 1000],[0 0],'k:');
plot([P3 P3],[-5 15],'m'); plot([P3-P3range P3-P3range],[-5 15],'c'); plot([P3+P3range P3+P3range],[-5 15],'c'); text(P3,-5,'P3');
plot([LATE LATE],[-5 15],'m'); plot([LATE-LATErange LATE-LATErange],[-5 15],'c'); plot([LATE+LATErange LATE+LATErange],[-5 15],'c'); text(LATE,-5,'LATE');
title('Pz')

subplot(4,1,4); hold on
tx=-2000:2:1998;
LRP_t1=find(tx==-1000);  LRP_t2=find(tx==500);
LRP_tx2disp=-1000:2:500;
shadedErrorBar(LRP_tx2disp,squeeze(mean(mean(MEGA_ERP_RESP(:,LRP_t1:LRP_t2,1:4),3),1)),squeeze(std(mean(MEGA_ERP_RESP(:,LRP_t1:LRP_t2,1:4),3),1))./sqrt(BigN),'k');
shadedErrorBar(LRP_tx2disp,squeeze(mean(mean(MEGA_ERP_RESP(:,LRP_t1:LRP_t2,5:8),3),1)),squeeze(std(mean(MEGA_ERP_RESP(:,LRP_t1:LRP_t2,5:8),3),1))./sqrt(BigN),'g');
plot(LRP_tx2disp,squeeze(mean(mean(MEGA_ERP_RESP(:,LRP_t1:LRP_t2,1:4),3),1)),'k','linewidth',2);
plot(LRP_tx2disp,squeeze(mean(mean(MEGA_ERP_RESP(:,LRP_t1:LRP_t2,5:8),3),1)),'g','linewidth',2);
plot([0 0],[-4 4],'k:'); plot([-1000 500],[0 0],'k:');
plot([-300 -300],[-2 2],'c'); plot([-150 -150],[-2 2],'c'); 
plot([-150 -150],[-2 2],'c'); plot([-50 -50],[-2 2],'c');
title('LRP')


%% PRIOR    CONFLICT  CONGRUENT     for fun

thecondis={'REPEAT cC','REPEAT cI','REPEAT iC','REPEAT iI','Change cC','Change cI','Change iC','Change iI'};
BigN=size(MEGA_ERP,1);
tx=-2000:2:1998;
t1=find(tx==-500);  t2=find(tx==1000);
tx2disp=-500:2:1000;

P2=200; P2range=10;  % in ms
N2=275; N2range=20;
P3=450; P3range=150;
LATE=700; LATErange=250;

figure; 
subplot(4,1,1); hold on
plot(tx2disp,squeeze(mean(mean(MEGA_ERP(:,19,t1:t2,[3,4,7,8]),4),1)),'r','linewidth',2);
plot(tx2disp,squeeze(mean(mean(MEGA_ERP(:,19,t1:t2,[1,2,5,6]),4),1)),'b','linewidth',2);
shadedErrorBar(tx2disp,squeeze(mean(mean(MEGA_ERP(:,19,t1:t2,[3,4,7,8]),4),1)),squeeze(std(mean(MEGA_ERP(:,19,t1:t2,[3,4,7,8]),4),1))./sqrt(BigN),'r');
shadedErrorBar(tx2disp,squeeze(mean(mean(MEGA_ERP(:,19,t1:t2,[1,2,5,6]),4),1)),squeeze(std(mean(MEGA_ERP(:,19,t1:t2,[1,2,5,6]),4),1))./sqrt(BigN),'b');
plot(tx2disp,squeeze(mean(mean(MEGA_ERP(:,19,t1:t2,[3,4,7,8]),4),1)),'r','linewidth',2);
plot(tx2disp,squeeze(mean(mean(MEGA_ERP(:,19,t1:t2,[1,2,5,6]),4),1)),'b','linewidth',2);
plot(mean(mean(RT(:,[3,4,7,8]))),[10],'ro'); 
plot(mean(mean(RT(:,[1,2,5,6]))),[10],'bo');
plot([0 0],[-5 15],'k:'); plot([-500 1000],[0 0],'k:');
plot([P2 P2],[-5 15],'m'); plot([P2-10 P2-10],[-5 15],'c'); plot([P2+10 P2+10],[-5 15],'c'); text(P2,-5,'P2');
plot([N2 N2],[-5 15],'m'); plot([N2-20 N2-20],[-5 15],'c'); plot([N2+20 N2+20],[-5 15],'c'); text(N2,-5,'N2');
title('FCz')
legend({'PRIOR CONFLICT','PRIOR CONGRUENT'})

subplot(4,1,2); hold on
shadedErrorBar(tx2disp,squeeze(mean(mean(MEGA_ERP(:,28,t1:t2,[3,4,7,8]),4),1)),squeeze(std(mean(MEGA_ERP(:,28,t1:t2,[3,4,7,8]),4),1))./sqrt(BigN),'r');
shadedErrorBar(tx2disp,squeeze(mean(mean(MEGA_ERP(:,28,t1:t2,[1,2,5,6]),4),1)),squeeze(std(mean(MEGA_ERP(:,28,t1:t2,[1,2,5,6]),4),1))./sqrt(BigN),'b');
plot(tx2disp,squeeze(mean(mean(MEGA_ERP(:,28,t1:t2,[3,4,7,8]),4),1)),'r','linewidth',2);
plot(tx2disp,squeeze(mean(mean(MEGA_ERP(:,28,t1:t2,[1,2,5,6]),4),1)),'b','linewidth',2);
plot(mean(mean(RT(:,[3,4,7,8]))),[10],'ro'); 
plot(mean(mean(RT(:,[1,2,5,6]))),[10],'bo');
plot([0 0],[-5 15],'k:'); plot([-500 1000],[0 0],'k:');
plot([P2 P2],[-5 15],'m'); plot([P2-10 P2-10],[-5 15],'c'); plot([P2+10 P2+10],[-5 15],'c'); text(P2,-5,'P2');
plot([N2 N2],[-5 15],'m'); plot([N2-20 N2-20],[-5 15],'c'); plot([N2+20 N2+20],[-5 15],'c'); text(N2,-5,'N2');
plot([P3 P3],[-5 15],'m'); plot([P3-P3range P3-P3range],[-5 15],'c'); plot([P3+P3range P3+P3range],[-5 15],'c'); text(P3,-5,'P3');
title('Cz')

subplot(4,1,3); hold on
shadedErrorBar(tx2disp,squeeze(mean(mean(MEGA_ERP(:,46,t1:t2,[3,4,7,8]),4),1)),squeeze(std(mean(MEGA_ERP(:,46,t1:t2,[3,4,7,8]),4),1))./sqrt(BigN),'r');
shadedErrorBar(tx2disp,squeeze(mean(mean(MEGA_ERP(:,46,t1:t2,[1,2,5,6]),4),1)),squeeze(std(mean(MEGA_ERP(:,46,t1:t2,[1,2,5,6]),4),1))./sqrt(BigN),'b');
plot(tx2disp,squeeze(mean(mean(MEGA_ERP(:,46,t1:t2,[3,4,7,8]),4),1)),'r','linewidth',2);
plot(tx2disp,squeeze(mean(mean(MEGA_ERP(:,46,t1:t2,[1,2,5,6]),4),1)),'b','linewidth',2);
plot(mean(mean(RT(:,[3,4,7,8]))),[10],'ro'); 
plot(mean(mean(RT(:,[1,2,5,6]))),[10],'bo');
plot([0 0],[-5 15],'k:'); plot([-500 1000],[0 0],'k:');
plot([P3 P3],[-5 15],'m'); plot([P3-P3range P3-P3range],[-5 15],'c'); plot([P3+P3range P3+P3range],[-5 15],'c'); text(P3,-5,'P3');
plot([LATE LATE],[-5 15],'m'); plot([LATE-LATErange LATE-LATErange],[-5 15],'c'); plot([LATE+LATErange LATE+LATErange],[-5 15],'c'); text(LATE,-5,'LATE');
title('Pz')

subplot(4,1,4); hold on
tx=-2000:2:1998;
LRP_t1=find(tx==-1000);  LRP_t2=find(tx==500);
LRP_tx2disp=-1000:2:500;
shadedErrorBar(LRP_tx2disp,squeeze(mean(mean(MEGA_ERP_RESP(:,LRP_t1:LRP_t2,[3,4,7,8]),3),1)),squeeze(std(mean(MEGA_ERP_RESP(:,LRP_t1:LRP_t2,[3,4,7,8]),3),1))./sqrt(BigN),'r');
shadedErrorBar(LRP_tx2disp,squeeze(mean(mean(MEGA_ERP_RESP(:,LRP_t1:LRP_t2,[1,2,5,6]),3),1)),squeeze(std(mean(MEGA_ERP_RESP(:,LRP_t1:LRP_t2,[1,2,5,6]),3),1))./sqrt(BigN),'b');
plot(LRP_tx2disp,squeeze(mean(mean(MEGA_ERP_RESP(:,LRP_t1:LRP_t2,[3,4,7,8]),3),1)),'r','linewidth',2);
plot(LRP_tx2disp,squeeze(mean(mean(MEGA_ERP_RESP(:,LRP_t1:LRP_t2,[1,2,5,6]),3),1)),'b','linewidth',2);
plot([0 0],[-4 4],'k:'); plot([-1000 500],[0 0],'k:');
plot([-300 -300],[-2 2],'c'); plot([-150 -150],[-2 2],'c'); 
plot([-150 -150],[-2 2],'c'); plot([-50 -50],[-2 2],'c');
title('LRP')


%% ----- TRY THIS
figure;

subplot(2,1,1); hold on
site=19;
tx=-2000:2:1998;
resp_t1=find(tx==-500);  resp_t2=find(tx==1000);
resp_tx2disp=-500:2:1000;
plot(resp_tx2disp,squeeze(mean(mean(MEGA_ERP_RESP_All(:,site,resp_t1:resp_t2,[2,4,6,8]),4),1)),'r','linewidth',2);
plot(resp_tx2disp,squeeze(mean(mean(MEGA_ERP_RESP_All(:,site,resp_t1:resp_t2,[1,3,5,7]),4),1)),'b','linewidth',2);
shadedErrorBar(resp_tx2disp,squeeze(mean(mean(MEGA_ERP_RESP_All(:,site,resp_t1:resp_t2,[2,4,6,8]),4),1)),squeeze(std(mean(MEGA_ERP_RESP_All(:,site,LRP_t1:LRP_t2,[2,4,6,8]),4),1))./sqrt(BigN),'r');
shadedErrorBar(resp_tx2disp,squeeze(mean(mean(MEGA_ERP_RESP_All(:,site,resp_t1:resp_t2,[1,3,5,7]),4),1)),squeeze(std(mean(MEGA_ERP_RESP_All(:,site,LRP_t1:LRP_t2,[1,3,5,7]),4),1))./sqrt(BigN),'b');
plot(resp_tx2disp,squeeze(mean(mean(MEGA_ERP_RESP_All(:,site,resp_t1:resp_t2,[2,4,6,8]),4),1)),'r','linewidth',2);
plot(resp_tx2disp,squeeze(mean(mean(MEGA_ERP_RESP_All(:,site,resp_t1:resp_t2,[1,3,5,7]),4),1)),'b','linewidth',2);
plot([0 0],[-4 4],'k:'); plot([-500 1000],[0 0],'k:');
plot([200 200],[-2 2],'c'); plot([500 500],[-2 2],'c'); 
title('Resp')
legend({'CONGRUENT','CONFLICT'})

subplot(2,1,2); hold on
plot(resp_tx2disp,squeeze(mean(mean(MEGA_ERP_RESP_All(:,site,resp_t1:resp_t2,1:4),4),1)),'k','linewidth',2);
plot(resp_tx2disp,squeeze(mean(mean(MEGA_ERP_RESP_All(:,site,resp_t1:resp_t2,5:8),4),1)),'g','linewidth',2);
shadedErrorBar(resp_tx2disp,squeeze(mean(mean(MEGA_ERP_RESP_All(:,site,resp_t1:resp_t2,1:4),4),1)),squeeze(std(mean(MEGA_ERP_RESP_All(:,site,LRP_t1:LRP_t2,1:4),4),1))./sqrt(BigN),'k');
shadedErrorBar(resp_tx2disp,squeeze(mean(mean(MEGA_ERP_RESP_All(:,site,resp_t1:resp_t2,5:8),4),1)),squeeze(std(mean(MEGA_ERP_RESP_All(:,site,LRP_t1:LRP_t2,5:8),4),1))./sqrt(BigN),'g');
plot(resp_tx2disp,squeeze(mean(mean(MEGA_ERP_RESP_All(:,site,resp_t1:resp_t2,1:4),4),1)),'k','linewidth',2);
plot(resp_tx2disp,squeeze(mean(mean(MEGA_ERP_RESP_All(:,site,resp_t1:resp_t2,5:8),4),1)),'g','linewidth',2);
plot([0 0],[-4 4],'k:'); plot([-500 1000],[0 0],'k:');
plot([200 200],[-2 2],'c'); plot([500 500],[-2 2],'c'); 
title('Resp')
legend({'REPEAT','SWITCH'})


ERPmean=squeeze(mean(MEGA_ERP_RESP_All(:,site,find(tx==200):find(tx==500),:),3)); LRP_TITLE='FCz Resp';

CONDIS=[5,6,7,8,1,2,3,4];
PANEL=[1,1,2,2,4,4,5,5];
COLOR={'bo','ro','bo','ro','bo','ro','bo','ro'};

figure; hold on
plot(1,mean(ERPmean(:,CONDIS(1))),COLOR{1});   
plot(1,mean(ERPmean(:,CONDIS(2))),COLOR{2});  
legend({'CONG','INCONG'},'Location','NorthWest')
for condi=1:8
   plot(PANEL(condi),mean(ERPmean(:,CONDIS(condi))),COLOR{condi});   
   errorbar(PANEL(condi),mean(ERPmean(:,CONDIS(condi))),std(ERPmean(:,CONDIS(condi)))/sqrt(size(ERPmean,1)),'k.');   
end
plot([1 2],[mean(ERPmean(:,CONDIS(1))) mean(ERPmean(:,CONDIS(3)))],'k-');  
plot([1 2],[mean(ERPmean(:,CONDIS(2))) mean(ERPmean(:,CONDIS(4)))],'k-');  
plot([4 5],[mean(ERPmean(:,CONDIS(5))) mean(ERPmean(:,CONDIS(7)))],'k-');  
plot([4 5],[mean(ERPmean(:,CONDIS(6))) mean(ERPmean(:,CONDIS(8)))],'k-');  
ylabel('uV');
set(gca,'xlim',[0 6],'xtick',[1:1:5],'xticklabel',{'PREV C','PREV I','','PREV C','PREV I'});
title(LRP_TITLE);


FCzRESP_4SPSS=squeeze(mean(MEGA_ERP_RESP_All(:,site,find(tx==200):find(tx==500),:),3));

figure;
subplot(1,2,1)
resp_t1=find(tx==200);  resp_t2=find(tx==500);
A=mean(mean(MEGA_ERP_RESP_All(:,:,resp_t1:resp_t2,[2,4,6,8]),4),3);
B=mean(mean(MEGA_ERP_RESP_All(:,:,resp_t1:resp_t2,[1,3,5,7]),4),3);
[H,P,CI,STATS]=ttest(A,B); P(P>=.05)=NaN; P(P<.05)=1; P(isnan(P))=0;
THESEDATA=squeeze(mean(A,1)-mean(B,1));
topoplot(THESEDATA,chanlocs,'emarker2', {find(P),'d','k',5,1});
title('CONF-CONGRU')
subplot(1,2,2)
resp_t1=find(tx==200);  resp_t2=find(tx==500);
A=mean(mean(MEGA_ERP_RESP_All(:,:,resp_t1:resp_t2,1:4),4),3);
B=mean(mean(MEGA_ERP_RESP_All(:,:,resp_t1:resp_t2,5:8),4),3);
[H,P,CI,STATS]=ttest(A,B); P(P>=.05)=NaN; P(P<.05)=1; P(isnan(P))=0;
THESEDATA=squeeze(mean(B,1)-mean(A,1));
topoplot(THESEDATA,chanlocs,'emarker2', {find(P),'d','k',5,1});
title('SWITCH-REPEAT')
%% TOPOS

% Divide range by 2 to get samples
TIMEWINS{1}=find(tx==P2)-5:find(tx==P2)+5 ;
TIMEWINS{2}=find(tx==N2+1)-10:find(tx==N2+1)+10 ;
TIMEWINS{3}=find(tx==P3)-(P3range/2):find(tx==P3)+(P3range/2) ;
TIMEWINS{4}=find(tx==LATE)-(LATErange/2):find(tx==LATE)+(LATErange/2) ;

TITLES={'P2','N2','P3','Late'};

figure;
for fi=2:4
    subplot(1,3,fi-1); hold on;
    A=mean(mean(MEGA_ERP(:,:,TIMEWINS{fi},[2,4,6,8]),4),3);
    B=mean(mean(MEGA_ERP(:,:,TIMEWINS{fi},[1,3,5,7]),4),3);
    [H,P,CI,STATS]=ttest(A,B); P(P>=.05)=NaN; P(P<.05)=1; P(isnan(P))=0;
    THESEDATA=squeeze(mean(A,1)-mean(B,1));
    topoplot(THESEDATA,chanlocs,'emarker2', {find(P),'d','k',5,1});
    title(TITLES{fi})
    clear THESEDATA A B;
end

figure;
for fi=2:4
    subplot(1,3,fi-1); hold on;
    A=mean(mean(MEGA_ERP(:,:,TIMEWINS{fi},5:8),4),3);
    B=mean(mean(MEGA_ERP(:,:,TIMEWINS{fi},1:4),4),3);
    [H,P,CI,STATS]=ttest(A,B); P(P>=.05)=NaN; P(P<.05)=1; P(isnan(P))=0;
    THESEDATA=squeeze(mean(A,1)-mean(B,1));
    topoplot(THESEDATA,chanlocs,'emarker2', {find(P),'d','k',5,1});
        title(TITLES{fi})
    clear THESEDATA A B;
end


%% Get ROIs

SITE=[19,28,46];
for ai=1:3 % SITE=[FCz,Cz,Pz]
    for bi=1:4 % TIMES=[P2,N2,P3,LATE];
        for ci=1:8
            MEANS(:,ai,bi,ci)=squeeze(mean(MEGA_ERP(:,SITE(ai),TIMEWINS{bi},ci),3));
        end
    end
end

TIMEWINS_LAT=find(tx==P3)-(P3range/2):find(tx==P3)+(P3range/2) ;  % 300 to 600
P3actuallatency=P3-P3range:2:P3+P3range;
for si=1:size(MEGA_ERP,1)
    for ai=1:3 % SITE=[FCz,Cz,Pz]
        for ci=1:8
            idx=find(squeeze(MEGA_ERP(si,SITE(ai),TIMEWINS_LAT,ci))==max(squeeze(MEGA_ERP(si,SITE(ai),TIMEWINS_LAT,ci))));
            P3Latency(si,ai,ci)=P3actuallatency(idx);
        end
    end
end

figure; boxplot(squeeze(P3Latency(:,3,:))); title('P3 latencies at Pz');


P3Peak_Conf=mean(mean(P3Latency(:,3,[2,4,6,8]),3));
P3Peak_Cong=mean(mean(P3Latency(:,3,[1,3,5,7]),3));
P3Peak_Rep=mean(mean(P3Latency(:,3,1:4),3));
P3Peak_Swtch=mean(mean(P3Latency(:,3,5:8),3));

%%   
clear ERPmean;

CHAN=3  ;% SITE=[FCz,Cz, Pz]
TIME=4  ;% TIMES=[P2,N2,P3,LATE];
ERPmean=squeeze(mean(MEANS(:,CHAN,TIME,:),2));  % -squeeze(MEANS(:,CHAN,2,:)); %     

%  ERPmean=squeeze(mean(P3Latency(:,3,:),2));   


% % AMP=zscore(squeeze(mean(MEANS(:,CHAN,TIME,:),2)),[],2);
% % LAT=zscore(squeeze(mean(P3Latency(:,3,:),2)),[],2);
% % ERPmean=(AMP+LAT)/2;

TITLE=' ';

% N2 is FCz
% P3 is Cz, Pz
% P3 latency is Pz

CONDIS=[5,6,7,8,1,2,3,4];
PANEL=[1,1,2,2,4,4,5,5];
COLOR={'bo','ro','bo','ro','bo','ro','bo','ro'};
figure; hold on
plot(1,mean(ERPmean(:,CONDIS(1))),COLOR{1});   
plot(1,mean(ERPmean(:,CONDIS(2))),COLOR{2});  
legend({'CONG','INCONG'},'Location','NorthWest')
for condi=1:8
   plot(PANEL(condi),mean(ERPmean(:,CONDIS(condi))),COLOR{condi});   
   errorbar(PANEL(condi),mean(ERPmean(:,CONDIS(condi))),std(ERPmean(:,CONDIS(condi)))/sqrt(size(ERPmean,1)),'k.');   
end
plot([1 2],[mean(ERPmean(:,CONDIS(1))) mean(ERPmean(:,CONDIS(3)))],'k-');  
plot([1 2],[mean(ERPmean(:,CONDIS(2))) mean(ERPmean(:,CONDIS(4)))],'k-');  
plot([4 5],[mean(ERPmean(:,CONDIS(5))) mean(ERPmean(:,CONDIS(7)))],'k-');  
plot([4 5],[mean(ERPmean(:,CONDIS(6))) mean(ERPmean(:,CONDIS(8)))],'k-');  
set(gca,'xlim',[0 6],'xtick',[1:1:5],'xticklabel',{'PREV C','PREV I','','PREV C','PREV I'});
title(TITLE);


%%
lrp1=find(tx==-300);
lrp2=find(tx==-150);
lrp3=find(tx==-50);

 ERPmean=-1* (squeeze(mean(MEGA_ERP_RESP(:,lrp3,:),2))-squeeze(mean(MEGA_ERP_RESP(:,lrp2,:),2)) ); LRP_TITLE='LRP SLOPE';      
% ERPmean=squeeze(mean(MEGA_ERP_RESP(:,lrp1:lrp2,:),2)); LRP_TITLE='PRE-LRP';

CONDIS=[5,6,7,8,1,2,3,4];
PANEL=[1,1,2,2,4,4,5,5];
COLOR={'bo','ro','bo','ro','bo','ro','bo','ro'};

figure; hold on
plot(1,mean(ERPmean(:,CONDIS(1))),COLOR{1});   
plot(1,mean(ERPmean(:,CONDIS(2))),COLOR{2});  
legend({'CONG','INCONG'},'Location','NorthWest')
for condi=1:8
   plot(PANEL(condi),mean(ERPmean(:,CONDIS(condi))),COLOR{condi});   
   errorbar(PANEL(condi),mean(ERPmean(:,CONDIS(condi))),std(ERPmean(:,CONDIS(condi)))/sqrt(size(ERPmean,1)),'k.');   
end
plot([1 2],[mean(ERPmean(:,CONDIS(1))) mean(ERPmean(:,CONDIS(3)))],'k-');  
plot([1 2],[mean(ERPmean(:,CONDIS(2))) mean(ERPmean(:,CONDIS(4)))],'k-');  
plot([4 5],[mean(ERPmean(:,CONDIS(5))) mean(ERPmean(:,CONDIS(7)))],'k-');  
plot([4 5],[mean(ERPmean(:,CONDIS(6))) mean(ERPmean(:,CONDIS(8)))],'k-');  
ylabel('uV');
set(gca,'xlim',[0 6],'xtick',[1:1:5],'xticklabel',{'PREV C','PREV I','','PREV C','PREV I'});
title(LRP_TITLE);


LRP_4SPSS=squeeze(mean(MEGA_ERP_RESP(:,LRP_t1:LRP_t2,:),2));


%% TF
frex=logspace(.01,1.7,50);

figure; hold on;
imagesc(tx2disp,[],squeeze(mean(mean(MEGA_PWR{1},1),4)));
%    [H,P,CI,STATS]=ttest(squeeze( CTL.POWER{Bidx}(:,CHANI,:,:,conflict,EVENT)) , squeeze( ON.POWER{Bidx}(:,CHANI,:,:,conflict,EVENT)));
%    P(P<=.05)=NaN; P(P>.05)=0; P(isnan(P))=1;  P=squeeze(P);
%    contour(tx2disp,1:50,P,'k','linewidth',2); clear Corrected_P H P CI STATS;
plot([300 300],[17 24],'k'); plot([500 500],[17 24],'k');
plot([300 500],[17 17],'k') ;plot([300 500],[24 24],'k');
plot([0 0],[1 50],'k:')
set(gca,'clim',[-4 4],'xlim',[-500,1000],'ylim',[1 50],'YTick',1:4:length(frex),'YTickLabel',round(frex(1:4:end)));

CUETHETA_4SPSS=squeeze(mean(mean(MEGA_PWR{1}(:,17:24,find(tx2disp==300):find(tx2disp==500),:),2),3));

figure; hold on
plot(1,mean(CUETHETA_4SPSS(:,CONDIS(1))),COLOR{1});   
plot(1,mean(CUETHETA_4SPSS(:,CONDIS(2))),COLOR{2});  
legend({'CONG','INCONG'},'Location','NorthWest')
for condi=1:8
   plot(PANEL(condi),mean(CUETHETA_4SPSS(:,CONDIS(condi))),COLOR{condi});   
   errorbar(PANEL(condi),mean(CUETHETA_4SPSS(:,CONDIS(condi))),std(CUETHETA_4SPSS(:,CONDIS(condi)))/sqrt(size(CUETHETA_4SPSS,1)),'k.');   
end
plot([1 2],[mean(CUETHETA_4SPSS(:,CONDIS(1))) mean(CUETHETA_4SPSS(:,CONDIS(3)))],'k-');  
plot([1 2],[mean(CUETHETA_4SPSS(:,CONDIS(2))) mean(CUETHETA_4SPSS(:,CONDIS(4)))],'k-');  
plot([4 5],[mean(CUETHETA_4SPSS(:,CONDIS(5))) mean(CUETHETA_4SPSS(:,CONDIS(7)))],'k-');  
plot([4 5],[mean(CUETHETA_4SPSS(:,CONDIS(6))) mean(CUETHETA_4SPSS(:,CONDIS(8)))],'k-');  
ylabel('uV');
set(gca,'xlim',[0 6],'xtick',[1:1:5],'xticklabel',{'PREV C','PREV I','','PREV C','PREV I'});
title('Cue Theta');



figure; hold on;
imagesc(tx2disp,[],squeeze(mean(mean(MEGA_PWR{2},1),4)));
%    [H,P,CI,STATS]=ttest(squeeze( CTL.POWER{Bidx}(:,CHANI,:,:,conflict,EVENT)) , squeeze( ON.POWER{Bidx}(:,CHANI,:,:,conflict,EVENT)));
%    P(P<=.05)=NaN; P(P>.05)=0; P(isnan(P))=1;  P=squeeze(P);
%    contour(tx2disp,1:50,P,'k','linewidth',2); clear Corrected_P H P CI STATS;
plot([-200 -200],[17 24],'k'); plot([50 50],[17 24],'k');
plot([-200 50],[17 17],'k') ;plot([-200 50],[24 24],'k');
plot([0 0],[1 50],'k:')
set(gca,'clim',[-2 2],'xlim',[-500,1000],'ylim',[1 50],'YTick',1:4:length(frex),'YTickLabel',round(frex(1:4:end)));

RESPTHETA_4SPSS=squeeze(mean(mean(MEGA_PWR{2}(:,17:24,find(tx2disp==-200):find(tx2disp==50),:),2),3));


figure; hold on
plot(1,mean(RESPTHETA_4SPSS(:,CONDIS(1))),COLOR{1});   
plot(1,mean(RESPTHETA_4SPSS(:,CONDIS(2))),COLOR{2});  
legend({'CONG','INCONG'},'Location','NorthWest')
for condi=1:8
   plot(PANEL(condi),mean(RESPTHETA_4SPSS(:,CONDIS(condi))),COLOR{condi});   
   errorbar(PANEL(condi),mean(RESPTHETA_4SPSS(:,CONDIS(condi))),std(RESPTHETA_4SPSS(:,CONDIS(condi)))/sqrt(size(RESPTHETA_4SPSS,1)),'k.');   
end
plot([1 2],[mean(RESPTHETA_4SPSS(:,CONDIS(1))) mean(RESPTHETA_4SPSS(:,CONDIS(3)))],'k-');  
plot([1 2],[mean(RESPTHETA_4SPSS(:,CONDIS(2))) mean(RESPTHETA_4SPSS(:,CONDIS(4)))],'k-');  
plot([4 5],[mean(RESPTHETA_4SPSS(:,CONDIS(5))) mean(RESPTHETA_4SPSS(:,CONDIS(7)))],'k-');  
plot([4 5],[mean(RESPTHETA_4SPSS(:,CONDIS(6))) mean(RESPTHETA_4SPSS(:,CONDIS(8)))],'k-');  
ylabel('uV');
set(gca,'xlim',[0 6],'xtick',[1:1:5],'xticklabel',{'PREV C','PREV I','','PREV C','PREV I'});
title('Resp Theta');



figure; hold on;
imagesc(tx2disp,[],squeeze(mean(mean(MEGA_PHS{1},1),4)));
plot([100 100],[17 24],'k'); plot([300 300],[17 24],'k');
plot([100 300],[17 17],'k') ;plot([100 300],[24 24],'k');
plot([0 0],[1 50],'k:')
set(gca,'clim',[0 .5],'xlim',[-500,1000],'ylim',[1 50],'YTick',1:4:length(frex),'YTickLabel',round(frex(1:4:end)));

CUEPHS_4SPSS=squeeze(mean(mean(MEGA_PHS{1}(:,17:24,find(tx2disp==100):find(tx2disp==300),:),2),3));

figure; hold on;
imagesc(-1000:2:500,[],squeeze(mean(mean(MEGA_PHS{2},1),4)));
plot([100 100],[2 10],'k'); plot([300 300],[2 10],'k');
plot([100 300],[2 2],'k') ;plot([100 300],[10 10],'k');
plot([0 0],[1 50],'k:')
set(gca,'clim',[0 .5],'xlim',[-1000,500],'ylim',[1 50],'YTick',1:4:length(frex),'YTickLabel',round(frex(1:4:end)));

%%