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%%
TITLES={'Std','Targ','Nov'};
COL={'b','r','m'};
YLIM=[-6 8];
figure;
for ai=1:3
subplot(3,1,ai); hold on;
for gi=1:3
V = logical( double(IDENTITY.DEMO(:,2)==time) .* double(IDENTITY.DEMO(:,3)==gi) );
plot(tx2disp,squeeze(nanmean( MEGA_ERP(V,ERPSITE(ai),:,ai) ,1)),COL{gi},'Linewidth',2);
clear V;
end
for gi=1:3
V = logical( double(IDENTITY.DEMO(:,2)==time) .* double(IDENTITY.DEMO(:,3)==gi) );
shadedErrorBar(tx2disp,squeeze(nanmean( MEGA_ERP(V,ERPSITE(ai),:,ai) ,1)),squeeze(nanstd( MEGA_ERP(V,ERPSITE(ai),:,ai) ,1))./sqrt(sum(V)),COL{gi});
clear V;
end
for gi=1:3
V = logical( double(IDENTITY.DEMO(:,2)==time) .* double(IDENTITY.DEMO(:,3)==gi) );
plot(tx2disp,squeeze(nanmean( MEGA_ERP(V,ERPSITE(ai),:,ai) ,1)),COL{gi},'Linewidth',2);
set(gca,'ylim',YLIM);
clear V;
end
plot([ERPWINS(ai,1) ERPWINS(ai,1)],[5 7],'k:'); plot([ERPWINS(ai,2) ERPWINS(ai,2)],[5 7],'k:');
title(TITLES{ai});
V_ctl = logical( double(IDENTITY.DEMO(:,2)==time) .* double(IDENTITY.DEMO(:,3)==1) );
V_acute = logical( double(IDENTITY.DEMO(:,2)==time) .* double(IDENTITY.DEMO(:,3)==2) );
V_chronic = logical( double(IDENTITY.DEMO(:,2)==time) .* double(IDENTITY.DEMO(:,3)==3) );
ERPs_ctl=squeeze(MEGA_ERP(V_ctl,ERPSITE(ai),:,ai));
ERPs_acute=squeeze(MEGA_ERP(V_acute,ERPSITE(ai),:,ai));
ERPs_chronic=squeeze(MEGA_ERP(V_chronic,ERPSITE(ai),:,ai));
[H,P,CI,STATS]=ttest2(ERPs_ctl,ERPs_acute); P(P>.05)=NaN; P(P<=.05)=1;
plot(tx2disp,-4.*P,'r'); clear H P CI STATS TEMP*;
[H,P,CI,STATS]=ttest2(ERPs_ctl,ERPs_chronic); P(P>.05)=NaN; P(P<=.05)=1;
plot(tx2disp,-4.5.*P,'m'); clear H P CI STATS TEMP*;
clear V_ctl V_acute V_chronic ERPs_ctl ERPs_acute ERPs_chronic
end
legend({'CTL','Acute','Chronic'},'Location','NorthWest')
%%
figure;
for ai=1:3 % Condi
subplot(3,1,ai); hold on;
for gi=1:3 % Group
for time=1:3
V = logical( double(IDENTITY.DEMO(:,2)==time) .* double(IDENTITY.DEMO(:,3)==gi) );
plot(time,squeeze(nanmean(mean( MEGA_ERP(V,ERPSITE(ai),ERPWINS_tx2disp(ai,1):ERPWINS_tx2disp(ai,2),ai) ,3),1)),[COL{gi},'d']);
errorbar(time,squeeze(nanmean(mean( MEGA_ERP(V,ERPSITE(ai),ERPWINS_tx2disp(ai,1):ERPWINS_tx2disp(ai,2),ai) ,3),1)),...
squeeze(nanstd(mean( MEGA_ERP(V,ERPSITE(ai),ERPWINS_tx2disp(ai,1):ERPWINS_tx2disp(ai,2),ai) ,3),1)) ./sqrt(sum(V)),'k.');
BIG_OL_N(gi,time)=sum(V);
clear V;
end
% ---
V1 = logical( double(IDENTITY.DEMO(:,2)==1) .* double(IDENTITY.DEMO(:,3)==gi) );
V2 = logical( double(IDENTITY.DEMO(:,2)==2) .* double(IDENTITY.DEMO(:,3)==gi) );
V3 = logical( double(IDENTITY.DEMO(:,2)==3) .* double(IDENTITY.DEMO(:,3)==gi) );
plot([1 2],[squeeze(nanmean(mean( MEGA_ERP(V1,ERPSITE(ai),ERPWINS_tx2disp(ai,1):ERPWINS_tx2disp(ai,2),ai) ,3),1)) ,...
squeeze(nanmean(mean( MEGA_ERP(V2,ERPSITE(ai),ERPWINS_tx2disp(ai,1):ERPWINS_tx2disp(ai,2),ai) ,3),1))],'k-');
plot([2 3],[squeeze(nanmean(mean( MEGA_ERP(V2,ERPSITE(ai),ERPWINS_tx2disp(ai,1):ERPWINS_tx2disp(ai,2),ai) ,3),1)) ,...
squeeze(nanmean(mean( MEGA_ERP(V3,ERPSITE(ai),ERPWINS_tx2disp(ai,1):ERPWINS_tx2disp(ai,2),ai) ,3),1))],'k-');
clear V*;
% ---
end
set(gca,'xlim',[0 4],'xtick',[1:1:3])
title(TITLES{ai});
end
%%
STATS{1}=[]; STATS{2}=[]; % Targ, Nov
for si=1:2 % CTL, Acute
Sx=logical( double(IDENTITY.DEMO(:,3)==si) );
Sx_idxs=unique(IDENTITY.DEMO(Sx,1));
for sxi=1:length(Sx_idxs)
thisguy=Sx_idxs(sxi);
FIRST=[]; SECOND=[]; THIRD=[];
FIRST=find(logical( double(IDENTITY.DEMO(:,1)==thisguy) .* double(IDENTITY.DEMO(:,2)==1) ));
SECOND=find(logical( double(IDENTITY.DEMO(:,1)==thisguy) .* double(IDENTITY.DEMO(:,2)==2) ));
THIRD=find(logical( double(IDENTITY.DEMO(:,1)==thisguy) .* double(IDENTITY.DEMO(:,2)==3) ));
ai=2;
ERP1=NaN; ERP2=NaN; ERP3=NaN;
if ~isempty(FIRST), ERP1=mean( MEGA_ERP(FIRST,ERPSITE(ai),ERPWINS_tx2disp(ai,1):ERPWINS_tx2disp(ai,2),ai) ,3); end
if ~isempty(SECOND), ERP2=mean( MEGA_ERP(SECOND,ERPSITE(ai),ERPWINS_tx2disp(ai,1):ERPWINS_tx2disp(ai,2),ai) ,3); end
if ~isempty(THIRD), ERP3=mean( MEGA_ERP(THIRD,ERPSITE(ai),ERPWINS_tx2disp(ai,1):ERPWINS_tx2disp(ai,2),ai) ,3); end
STATS{ai-1}=[STATS{ai-1};thisguy,si,ERP1,ERP2,ERP3];
ai=3;
ERP1=NaN; ERP2=NaN; ERP3=NaN;
if ~isempty(FIRST), ERP1=mean( MEGA_ERP(FIRST,ERPSITE(ai),ERPWINS_tx2disp(ai,1):ERPWINS_tx2disp(ai,2),ai) ,3); end
if ~isempty(SECOND), ERP2=mean( MEGA_ERP(SECOND,ERPSITE(ai),ERPWINS_tx2disp(ai,1):ERPWINS_tx2disp(ai,2),ai) ,3); end
if ~isempty(THIRD), ERP3=mean( MEGA_ERP(THIRD,ERPSITE(ai),ERPWINS_tx2disp(ai,1):ERPWINS_tx2disp(ai,2),ai) ,3); end
STATS{ai-1}=[STATS{ai-1};thisguy,si,ERP1,ERP2,ERP3];
clear thisguy;
end
clear Sx Sx_idxs;
end
si=3; clear Sx Sx_idxs; % chronic
Sx=logical( double(IDENTITY.DEMO(:,3)==si) );
Sx_idxs=unique(IDENTITY.DEMO(Sx,1));
for sxi=1:length(Sx_idxs)
thisguy=Sx_idxs(sxi);
FIRST=[];
FIRST=find(logical( double(IDENTITY.DEMO(:,1)==thisguy) .* double(IDENTITY.DEMO(:,2)==1) ));
ai=2;
ERP1=NaN;
if ~isempty(FIRST), ERP1=mean( MEGA_ERP(FIRST,ERPSITE(ai),ERPWINS_tx2disp(ai,1):ERPWINS_tx2disp(ai,2),ai) ,3); end
STATS{ai-1}=[STATS{ai-1};thisguy,si,ERP1,NaN,NaN];
ai=3;
ERP1=NaN;
if ~isempty(FIRST), ERP1=mean( MEGA_ERP(FIRST,ERPSITE(ai),ERPWINS_tx2disp(ai,1):ERPWINS_tx2disp(ai,2),ai) ,3); end
STATS{ai-1}=[STATS{ai-1};thisguy,si,ERP1,NaN,NaN];
clear thisguy;
end
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