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behavioral_correlation_longitudinal_cluster.m
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behavioral_correlation_longitudinal_cluster.m
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% Plot final temporal cluster analysis
clear all
datapath = '/data/liuzzil2/UMD_Flanker/derivatives/';
cd(datapath)
subsdir = dir;
subsdir(1:2) = [];
subslist = cell(length(subsdir ) ,1);
close all
% only include particIpants with at least 70% accuracy
behaveTable = readtable('/data/liuzzil2/UMD_Flanker/results/behavioral_table_accuracy70.csv');
samplings = 30 ; % sampling frequency
stimnames = {'cue','flan','resp'};
nf = length(stimnames);
normalizeopt = 2; % Final version = 2
nbonf = 18; % Bonferroni corrections
conds = {'IncongCorr'}; % all trial types
% e.g.: conds = {'Correct'; 'Incongruent';'Congruent'; 'IncongCorr';'CongCorr'};
for iic = 1:3
cond = conds{iic};
ncomp = 4;% number of PCA components
cc = 1; % Component to plot
downsampf = samplings;
twind = 0.1; % time window of dyanmics analysis = 0.1s
tstep = round( downsampf * 0.04) ;
xstep = 1; % time step: 1 = next time point t+1
for ss = 1:length(stimnames)
stimname = stimnames{ss};
if strcmp(stimname, 'cue')
N = 10000;
else
N = 20000;
end
if strcmp(stimname,'flan')
xl = [-0.4 0.6];
load('/data/liuzzil2/UMD_Flanker/results/flan_grandavg_erp.mat')
% load('/data/liuzzil2/UMD_Flanker/results/pcaSubConcat_correct_congruent_n335.mat')
t1 = -0.5; t2 = 0;
elseif strcmp(stimname,'cue')
xl = [-0.6 0.6];
load('/data/liuzzil2/UMD_Flanker/results/cue_grandavg_erp.mat')
% load('/data/liuzzil2/UMD_Flanker/results/pcaSubConcat_correct_congruent_n335.mat')
else
xl = [-0.5 0.5];
load('/data/liuzzil2/UMD_Flanker/results/resp_grandavg_erp.mat')
% load('/data/liuzzil2/UMD_Flanker/results/pcaSubConcat_resp_correct_commiss_n317.mat')
t1 = -0.6; t2 = -0.1;
end
%%
Atb = table;
eig = [];
% rmse = [];
% EEGresidual = [];
% Presidual = [];
% xx = 0:0.01:1000;
for jj = 1:length(subsdir)
sub = subsdir(jj).name(5:end);
for age = [12,15,18]
agegroup = num2str(age);
subdir = ['sub-',sub];
filebids = [subdir,'_task-flanker_eeg'];
outputfolder = sprintf('/data/liuzzil2/UMD_Flanker/derivatives/sub-%s/age-%s/',sub,agegroup);
filename = sprintf('%sAtest3_%s_%delec_f%dHzlowp_norm%d_w%dms_step%d_xstep%d.mat',...
outputfolder,stimname,ncomp,downsampf,normalizeopt,twind*1000,tstep,xstep);
bv = behaveTable( behaveTable.sdan == str2double(sub) & behaveTable.age == age,:);
if exist( filename,'file') && ~isempty(bv)
load(filename)
% yy = fpdf(xx,Aall.(cond).DFM,Aall.(cond).DFE);
% pvalue = zeros(size(Aall.(cond).F));
% for k = 1:size(Aall.(cond).F,2)
% [~,indf] = min(abs(Aall.(cond).F(:,k) - xx),[],2);
% for ik = 1:size(Aall.(cond).F,1)
% pvalue(ik,k) = trapz(xx(indf(ik):end), yy(indf(ik):end));
% end
% end
% if size(Aall.(cond).EEGresidual,2) == 1
% Aall.(cond).EEGresidual = Aall.(cond).EEGresidual';
% end
eig = cat(1,eig, ...
sum( abs(Aall.(cond).eig(cc,:)) ,1 ));
% rmse = cat(1,rmse,...
% mean( Aall.(cond).rmse(cc,:) ,1 ));
% EEGresidual = cat(1,EEGresidual,...
% mean(mean(abs(Aall.(cond).EEGresidual(cc,:,:)),1),2));
% EEGresidual = cat(1,EEGresidual,...
% mean(Aall.(cond).EEGresidual(cc,:),1));
% pvalue = cat(1,pvalue, ...
% Aall.(cond).pvalue);
A = table;
A.sub = str2double(sub);
A.age = age;
A.ntrials = Aall.(cond).ntrials;
A.accuracyI = (bv.accuracy_IL + bv.accuracy_IR)/2;
A.accuracyC = (bv.accuracy_CL + bv.accuracy_CR)/2;
if strcmp(cond, 'IncongCorr') || strcmp(cond, 'Incongruent')
A.RT = bv.RT_incongruent;
A.RTs = bv.RT_incongruent_std;
elseif strcmp(cond, 'CongCorr') || strcmp(cond, 'Congruent')
A.RT = bv.RT_congruent;
A.RTs = bv.RT_congruent_std;
elseif strcmp(cond, 'Commission')
A.RT = bv.RT_commission;
A.RTs = bv.RT_commission_std;
elseif strcmp(cond, 'Correct')
A.RT = bv.RT_correct;
A.RTs = bv.RT_correct_std;
else
A.RT = (bv.RT_congruent + bv.RT_incongruent)/2;
A.RTs = (bv.RT_congruent_std + bv.RT_incongruent_std)/2;
end
% if isfield(Aall.(cond),'Presidual')
% Presidual = mean(Aall.(cond).Presidual(cc,:),1);
% end
Atb = cat(1,Atb,A);
end
end
end
if strcmp(cond, 'IncongCorr') || strcmp(cond, 'Incongruent')
Atb.accuracy = Atb.accuracyI;
elseif strcmp(cond, 'CongCorr') || strcmp(cond, 'Congruent')
Atb.accuracy = Atb.accuracyC;
else
Atb.accuracy = (Atb.accuracyC + Atb.accuracyI) / 2;
end
time = Aall.All.time;
% if strcmp(stimname,'flan')
% timefull = linspace(-0.5,1,size(EEGresidual,2));
% elseif strcmp(stimname,'resp')
% timefull = linspace(-1,1,size(EEGresidual,2));
% else
% timefull = linspace(-0.6,0.4,size(EEGresidual,2));
% end
% figure
% plot(Aall.CongCorr.ff, mean(A.Presidual,1))
tots_ages = readtable('/data/liuzzil2/UMD_Flanker/results/TOTS_12yrs_15yrs_18yrs_ages_days_months_years.xlsx');
new_ages = readtable('/data/liuzzil2/UMD_Flanker/results/new_ages_flanker_12_15yrs.xlsx');
Atb.aged = zeros(size(Atb.age));
for n = 1:length(Atb.age)
if Atb.age(n) == 12
ag = tots_ages.x12yEEGAgeYears(tots_ages.ID == Atb.sub(n));
if isempty(ag)
ag = new_ages.age_at_12yr_visit_years( new_ages.subject == Atb.sub(n) );
elseif isnan(ag)
ag = new_ages.age_at_12yr_visit_years( new_ages.subject == Atb.sub(n) );
end
elseif Atb.age(n) == 15
ag = tots_ages.x15yEEGAgeYears(tots_ages.ID == Atb.sub(n));
if isempty(ag)
ag = new_ages.age_at_15yr_visit_years( new_ages.subject == Atb.sub(n) );
elseif isnan(ag)
ag = new_ages.age_at_15yr_visit_years( new_ages.subject == Atb.sub(n) );
end
else
ag = tots_ages.x18yEEGAgeMonths_1(tots_ages.ID == Atb.sub(n));
end
if isnan(ag)
ag = Atb.age(n);
end
Atb.aged(n) = ag;
end
%% RT and RTs correlation
% figure; set(gcf,'color','w');
% scatter(Atb.RT, Atb.RTs)
% xlabel('mean(RT) (ms)'); ylabel('stdev(RT) (ms)')
%
% [P,S] = polyfit(Atb.RT,Atb.RTs,1);
% yfit = P(1) * Atb.RT + P(2);
% hold on
% plot(Atb.RT, yfit)
% yresid = Atb.RTs - yfit;
% SSresid = sum(yresid.^2);
% SStotal = (length(Atb.RTs)-1) * var(Atb.RTs);
% rsq = 1 - SSresid/SStotal;
% title(sprintf('Correlation of mean(RT) and stdev(RT): R^2=%.2f',rsq))
% saveas(gcf,'/data/liuzzil2/UMD_Flanker/results/RT_RTs_Corr.jpg');
%% Uncomment from here
% A = table;
% A.sub = Atb.sub;
% A.age = Atb.age;
% A.accuracy = Atb.accuracy;
% A.RT = Atb.RT;
% A.RTs = Atb.RTs;
%
% teig_long = zeros(size(time));
% peig_long = zeros(size(time));
% pacc_long = zeros(size(time));
% accorr_long =zeros(size(time));
% prt_long = zeros(size(time));
% rtcorr_long= zeros(size(time));
% prts_long = zeros(size(time));
% rtscorr_long= zeros(size(time));
% for t = 1:length(time)
% A.eig = eig(:,t);
% lme_agelong = fitlme(A, 'eig ~ age + (1|sub)' );
% lme_acclong = fitlme(A, 'accuracy ~ eig + (1|sub)' );
% lme_rtlong = fitlme(A, 'RT ~ eig + (1|sub)' );
% lme_rtslong = fitlme(A, 'RTs ~ eig + (1|sub)' );
% teig_long(t) = lme_agelong.Coefficients.tStat(strcmp(lme_agelong.CoefficientNames,'age'));
% peig_long(t) = lme_agelong.Coefficients.pValue(strcmp(lme_agelong.CoefficientNames,'age'));
% pacc_long(t) = lme_acclong.Coefficients.pValue(strcmp(lme_acclong.CoefficientNames,'eig'));
% accorr_long(t) = sqrt(lme_acclong.Coefficients.tStat(strcmp(lme_acclong.CoefficientNames,'eig'))^2 / ...
% (lme_acclong.Coefficients.tStat(strcmp(lme_acclong.CoefficientNames,'eig'))^2 + ...
% lme_acclong.Coefficients.DF(strcmp(lme_acclong.CoefficientNames,'eig')))) * ...
% sign(lme_acclong.Coefficients.tStat(strcmp(lme_acclong.CoefficientNames,'eig')));
% prt_long(t) = lme_rtlong.Coefficients.pValue(strcmp(lme_rtlong.CoefficientNames,'eig'));
% rtcorr_long(t) = sqrt(lme_rtlong.Coefficients.tStat(strcmp(lme_rtlong.CoefficientNames,'eig'))^2 / ...
% (lme_rtlong.Coefficients.tStat(strcmp(lme_rtlong.CoefficientNames,'eig'))^2 + ...
% lme_rtlong.Coefficients.DF(strcmp(lme_rtlong.CoefficientNames,'eig')))) * ...
% sign(lme_rtlong.Coefficients.tStat(strcmp(lme_rtlong.CoefficientNames,'eig')));
% prts_long(t) = lme_rtslong.Coefficients.pValue(strcmp(lme_rtslong.CoefficientNames,'eig'));
% rtscorr_long(t) = sqrt(lme_rtslong.Coefficients.tStat(strcmp(lme_rtslong.CoefficientNames,'eig'))^2 / ...
% (lme_rtslong.Coefficients.tStat(strcmp(lme_rtslong.CoefficientNames,'eig'))^2 + ...
% lme_rtslong.Coefficients.DF(strcmp(lme_rtslong.CoefficientNames,'eig')))) * ...
% sign(lme_rtslong.Coefficients.tStat(strcmp(lme_rtslong.CoefficientNames,'eig')));
% end
%
%%
A = table;
A.sub = Atb.sub;
A.age = zscore(Atb.aged);
A.accuracy = zscore(Atb.accuracy);
A.RT = zscore(Atb.RT);
A.RTs = zscore(Atb.RTs);
teig_long = zeros(size(time));
eigeff_long = zeros(2,size(time,2));
accorr_long = zeros(size(time));
accseff_long = zeros(2,size(time,2));
rtscorr_long = zeros(size(time));
rtseff_long = zeros(2,size(time,2));
rtcorr_long = zeros(size(time));
rteff_long = zeros(2,size(time,2));
for t = 1:length(time)
A.eig = eig(:,t);
A.eig = zscore(A.eig);
lme_agelong = fitlme(A, 'eig ~ age + (1|sub)' );
teig_long(t) = lme_agelong.Coefficients.tStat(strcmp(lme_agelong.CoefficientNames,'age'));
eigeff_long(:,t) = lme_agelong.Coefficients.Estimate;
lme_acclong = fitlme(A, 'accuracy ~ eig + (1|sub)' );
accorr_long(t) = lme_acclong.Coefficients.tStat(strcmp(lme_acclong.CoefficientNames,'eig'));
accseff_long(:,t) = lme_acclong.Coefficients.Estimate(...
strcmp(lme_acclong.CoefficientNames,'(Intercept)') | strcmp(lme_acclong.CoefficientNames,'eig'));
lme_rtslong = fitlme(A, 'RTs ~ eig + (1|sub)' );
rtscorr_long(t) = lme_rtslong.Coefficients.tStat(strcmp(lme_rtslong.CoefficientNames,'eig'));
rtseff_long(:,t) = lme_rtslong.Coefficients.Estimate(...
strcmp(lme_rtslong.CoefficientNames,'(Intercept)') | strcmp(lme_rtslong.CoefficientNames,'eig'));
lme_rtlong = fitlme(A, 'RT ~ eig + (1|sub)' );
rtcorr_long(t) = lme_rtlong.Coefficients.tStat(strcmp(lme_rtlong.CoefficientNames,'eig'));
rteff_long(:,t) = lme_rtlong.Coefficients.Estimate(...
strcmp(lme_rtlong.CoefficientNames,'(Intercept)') | strcmp(lme_rtlong.CoefficientNames,'eig'));
end
% t0 = 0.0147;
% [~,t]= min(abs(time - t0));
% A.eig = eig(:,t);
% A.eig = zscore(A.eig);
% lme = fitlme(A, 'RTs ~ eig + (1|sub)' );
%% Bar plots
% figure(1); set(gcf,'color','w')
% subplot(1,nf,ss)
% cla; hold all
% co = get(gca,'colororder');
% co(3,:) = co(5,:); co(5,:) = co(2,:);
% set(gca,'colororder',co)
% t0 = 0.0147;
% [~,t]= min(abs(time - t0));
% ages = [12, 15, 18];
% for a = 1:3
% bar(a, mean(eig(Atb.age == ages(a) ,t) ))
% errorbar(a, mean(eig(Atb.age == ages(a) ,t) ), ...
% std(eig(Atb.age == ages(a) ,t) )/sqrt(nnz(Atb.age == ages(a))),'k.')
%
% end
% set(gca,'Xtick',1:3,'Xticklabels',ages);
% xlabel('age group'); ylabel('eigenvalue');
% title(sprintf('Eigenvalue at %d ms',round(time(t)*1e3)))
% ylim([0.3 0.6])
%
% % subplot(2,nf,ss+nf)
% % cla; hold all
% % set(gca,'colororder',co)
% % if ss == 2
% % t0 = 0.4147;
% % else
% % t0 = 0.01;
% % end
% % [~,t]= min(abs(time - t0));
% % ages = [12, 15, 18];
% % for a = 1:3
% % bar(a, mean(eig(Atb.age == ages(a) ,t) ))
% % errorbar(a, mean(eig(Atb.age == ages(a) ,t) ), ...
% % std(eig(Atb.age == ages(a) ,t) )/sqrt(nnz(Atb.age == ages(a))),'k.')
% % end
% % set(gca,'Xtick',1:3,'Xticklabels',ages);
% % xlabel('age group'); ylabel('eigenvalue');
% % title(sprintf('Eigenvalue at %d ms',round(time(t)*1e3)))
%% Scatter plot of RT vs age
% figure(2); clf; set(gcf,'color', 'w')
% subplot(121)
% scatter(Atb.aged, Atb.RT)
% lme = fitlme(Atb, 'RT ~ aged' );
% % [r,p] = corr(Atb.aged, Atb.RT);
% r = sign(lme.Coefficients.tStat(2))*sqrt(lme.Coefficients.tStat(2)^2 / (lme.Coefficients.tStat(2)^2 + lme.Coefficients.DF(2)));
% hold on
% plot([12,20],lme.Coefficients.Estimate(1) + lme.Coefficients.Estimate(2)*[12,20],'k')
% xlabel('age (years)'); ylabel('mean(RT) (ms)')
% title(sprintf('mean(RT) ~ age, R = %.2f, p = %.1s',r,lme.Coefficients.pValue(2) ))
% subplot(122)
% scatter(Atb.aged, Atb.RTs)
% lmes = fitlme(Atb, 'RTs ~ aged' );
% % [r,p] = corr(Atb.aged, Atb.RTs);
% r = sign(lmes.Coefficients.tStat(2))*sqrt(lmes.Coefficients.tStat(2)^2 / (lmes.Coefficients.tStat(2)^2 + lmes.Coefficients.DF(2)));
% hold on
% plot([12,20],lmes.Coefficients.Estimate(1) + lmes.Coefficients.Estimate(2)*[12,20],'k')
% xlabel('age (years)'); ylabel('stdev(RT) (ms)')
% title(sprintf('stdev(RT) ~ age, R = %.2f, p = %.1s',r,lmes.Coefficients.pValue(2) ))
% saveas(gcf,'/data/liuzzil2/UMD_Flanker/results/scatter_RT_age.jpg');
% saveas(gcf,'/data/liuzzil2/UMD_Flanker/results/scatter_RT_age.fig');
%%
% addpath /data/liuzzil2/UMD_Flanker/matlab
% H =2; E =0.5; dh =0.1; C = 4;
% [tfce_age] = matlab_tfce_transform(teig_long,H,E,C,dh);
% [tfce_acc] = matlab_tfce_transform(accorr_long,H,E,C,dh);
% [tfce_rts] = matlab_tfce_transform(rtscorr_long,H,E,C,dh);
% [tfce_rt] = matlab_tfce_transform(rtcorr_long,H,E,C,dh);
%
%
% agenull_file = sprintf('/data/liuzzil2/UMD_Flanker/results/eig_fix-age_rand-sub_f%dHz_cond-%s_N%d_%s.mat',downsampf,cond,N,stimname);
% % agenull_file2 = sprintf('/data/liuzzil2/UMD_Flanker/results/eig_fix-age_rand-sub_f%dHz_cond-%s_N%d_%s2.mat',downsampf,cond,N,stimname);
% if ~exist(agenull_file,'file')
% A = table;
% A.sub = Atb.sub;
% A.age = Atb.aged;
%
% lmefunc = 'eig ~ age + (1|sub)';
% fixeff = 'age';
% fprintf('Running N=%d bootstrap permutations:\n%s\n\n',N,lmefunc)
% npeaks = bootstrap_lme(A,eig,'eig',N,lmefunc,fixeff);
% save(agenull_file,'npeaks')
% end
%
% rtsnull_file = sprintf('/data/liuzzil2/UMD_Flanker/results/RTs_fix-eig_rand-sub_f%dHz_cond-%s_N%d_%s.mat',downsampf,cond,N,stimname);
% % rtsnull_file2 = sprintf('/data/liuzzil2/UMD_Flanker/results/RTs_fix-eig_rand-sub_f%dHz_cond-%s_N%d_%s2.mat',downsampf,cond,N,stimname);
% if ~exist(rtsnull_file,'file')
% A = table;
% A.sub = Atb.sub;
% A.RTs = Atb.RTs;
% lmefunc = 'RTs ~ eig + (1|sub)';
% fixeff = 'eig';
% clc; fprintf('Running N=%d bootstrap permutations:\n%s\n\n',N,lmefunc)
% npeaks = bootstrap_lme(A,eig,'eig',N,lmefunc,fixeff);
% save(rtsnull_file,'npeaks')
% end
%
% rtnull_file = sprintf('/data/liuzzil2/UMD_Flanker/results/RT_fix-eig_rand-sub_f%dHz_cond-%s_N%d_%s.mat',downsampf,cond,N,stimname);
% % rtnull_file2 = sprintf('/data/liuzzil2/UMD_Flanker/results/RT_fix-eig_rand-sub_f%dHz_cond-%s_N%d_%s2.mat',downsampf,cond,N,stimname);
% if ~exist(rtnull_file,'file')
% A = table;
% A.sub = Atb.sub;
% A.RT = Atb.RT;
% lmefunc = 'RT ~ eig + (1|sub)';
% fixeff = 'eig';
% clc; fprintf('Running N=%d bootstrap permutations:\n%s\n\n',N,lmefunc)
% npeaks = bootstrap_lme(A,eig,'eig',N,lmefunc,fixeff);
% save(rtnull_file,'npeaks')
% end
%
% accnull_file = sprintf('/data/liuzzil2/UMD_Flanker/results/Accuracy_fix-eig_rand-sub_f%dHz_cond-%s_N%d_%s.mat',downsampf,cond,N,stimname);
% % accnull_file2 = sprintf('/data/liuzzil2/UMD_Flanker/results/Accuracy_fix-eig_rand-sub_f%dHz_cond-%s_N%d_%s2.mat',downsampf,cond,N,stimname);
% if ~exist(accnull_file,'file')
% A = table;
% A.sub = Atb.sub;
% A.accuracy = Atb.accuracy;
%
% lmefunc = 'accuracy ~ eig + (1|sub)';
% fixeff = 'eig';
% fprintf('Running N=%d bootstrap permutations:\n%s\n\n',N,lmefunc)
% npeaks = bootstrap_lme(A,eig,'eig',N,lmefunc,fixeff);
% save(accnull_file,'npeaks')
% end
%
%
%%
%
% a = 0.05/nbonf;
%
%
% load(rtnull_file)
% npeaksrt = npeaks;
% if size(npeaksrt,1) == 1
% npeaksrt = [npeaksrt(1:2:end)',npeaksrt(2:2:end)'];
% end
% % load(rtnull_file2)
% % npeaksrt = [npeaksrt; npeaks];
%
% load(rtsnull_file)
% npeaksrts = npeaks;
% if size(npeaksrts,1) == 1
% npeaksrts = [npeaksrts(1:2:end)',npeaksrts(2:2:end)'];
% end
% % load(rtsnull_file2)
% % npeaksrts = [npeaksrts; npeaks];
%
% load(accnull_file)
% npeaksacc = npeaks;
% if size(npeaksacc,1) == 1
% npeaksacc = [npeaksacc(1:2:end)',npeaksacc(2:2:end)'];
% end
% % load(accnull_file2)
% % npeaksacc = [npeaksacc; npeaks];
% %
%
% load(agenull_file)
% npeaksage = npeaks;
% if size(npeaksage,1) == 1
% npeaksage = [npeaksage(1:2:end)',npeaksage(2:2:end)'];
% end
% % load(agenull_file2)
% % npeaksage = [npeaksage; npeaks];
%
% % npeaks = [npeaksrt;npeaksrts;npeaksacc;npeaksage];
% %
% % npeaksrt = npeaks;
% % npeaksrts = npeaks;
% % npeaksacc = npeaks;
% % npeaksage = npeaks;
%
% % figure; set(gcf,'color','w','name',sprintf('Distributions %s f%dHz',stimname,downsampf))
% % subplot(414)
% % histogram(npeaksrts(:,2),'Normalization','pdf','DisplayStyle','stairs')
% % hold on
% % histogram(tfce_rts,'Normalization','probability','DisplayStyle','stairs')
% rtsnull = sort(npeaksrts(:,2),'descend');
% % plot([1,1]*rtsnull(ceil(a*N)) , [0,1],'k--')
% % title('RTs ~ eig + (1|sub)')
% %
% %
% %
% % subplot(413)
% % histogram(npeaksrt(:,2),'Normalization','pdf','DisplayStyle','stairs')
% % hold on
% % histogram(tfce_rt,'Normalization','probability','DisplayStyle','stairs')
% rtnull = sort(npeaksrt(:,2),'descend');
% % plot([1,1]*rtnull(ceil(a*N)) , [0,1],'k--')
% % title('RT ~ eig + (1|sub)')
% %
% %
% %
% %
% % subplot(412)
% % histogram(npeaksacc(:,1),'Normalization','pdf','DisplayStyle','stairs')
% % hold on
% % histogram(tfce_acc,'Normalization','probability','DisplayStyle','stairs')
% accnull = sort(npeaksacc(:,1),'ascend');
% % plot([1,1]*accnull(ceil(a*N)) , [0,1],'k--')
% % title('accuracy ~ eig + (1|sub)')
% % legend('null','data',sprintf('a=%.4f',a))
% %
% %
% %
% % subplot(411)
% % histogram(npeaksage(:,1),'Normalization','pdf','DisplayStyle','stairs')
% % hold on
% % histogram(tfce_age,'Normalization','probability','DisplayStyle','stairs')
% agenull = sort(npeaksage(:,1),'ascend');
% % plot([1,1]*agenull(ceil(a*N)) , [0,1],'k--')
% % title('eig ~ age + (1|sub)')
%
% %
% % saveas(gcf,sprintf('/data/liuzzil2/UMD_Flanker/results/NullDistributions_%s_%s_f%dHz_%dcomps_downsamp_norm_w%dms_PC%d.jpg',...
% % stimname,cond,downsampf,ncomp,twind*1000,cc));
% %
%
%%
% ss = ff;
figure(5);set(gcf, 'color' , 'w','position',[205 64 1420 855]) %[10 30 834 1134]
subplot(4,nf,ss)
ax = gca;
co = get(ax,'colororder');
co(3,:) = co(2,:); co(2,:) = co(5,:);
colororder(co);
plot(time, cat(1,mean(eig(Atb.age==12,:),1),...
mean(eig(Atb.age==15,:),1),mean(eig(Atb.age==18,:),1 )),'linewidth',2)
% colororder({'k','k'})
hold on;
fill([time fliplr(time)],...
[mean(eig(Atb.age==12,:),1)+std(eig(Atb.age==12,:))/sqrt(size(eig(Atb.age==12,:),1)),...
fliplr(mean(eig(Atb.age==12,:),1)-std(eig(Atb.age==12,:))/sqrt(size(eig(Atb.age==12,:),1)))],...
co(1,:),'edgecolor','none','facealpha',0.3)
fill([time fliplr(time)],...
[mean(eig(Atb.age==15,:),1)+std(eig(Atb.age==15,:))/sqrt(size(eig(Atb.age==15,:),1)),...
fliplr(mean(eig(Atb.age==15,:),1)-std(eig(Atb.age==15,:))/sqrt(size(eig(Atb.age==15,:),1)))],...
co(2,:),'edgecolor','none','facealpha',0.3)
fill([time fliplr(time)],...
[mean(eig(Atb.age==18,:),1)+std(eig(Atb.age==18,:))/sqrt(size(eig(Atb.age==18,:),1)),...
fliplr(mean(eig(Atb.age==18,:),1)-std(eig(Atb.age==18,:))/sqrt(size(eig(Atb.age==18,:),1)))],...
co(3,:),'edgecolor','none','facealpha',0.3)
ylabel('eigenvalue');
yyaxis right; ax.YAxis(2).Color = 'k'; hold all;
plot(time,teig_long,'k--','linewidth',1)
% indsig = tfce_age < agenull(ceil(a*N));
% plot(time(indsig),teig_long(indsig),'k*','linewidth',2)
xlabel('time (s)'); ylabel('tstat'); grid on
title('eig ~ age + (1|sub)')
if ss == 1
legend('12yo','15yo','18yo','location','northwest')
end
xlim(xl);
subplot(4,nf,ss + nf)
ax = gca;
co(2,:) = co(3,:); colororder(co);
% erp1 = sum(grandavg.all.all.avg .* coeff(:,1),1) ;
% erp2 = sum(grandavg.all.all.avg .* coeff(:,2),1) ;
% timerp = grandavg.age12.all.time;
% plot(timerp, [erp1; erp2],'linewidth',2)
ylabel('sum of potentials (\muV)')
yyaxis right; hold all;ax.YAxis(2).Color = 'k';
plot(time, accorr_long,'k--','linewidth',1)
% indsig = tfce_acc < accnull(ceil(a*N));
% plot(time(indsig),accorr_long(indsig),'k*','linewidth',2)
xlim(xl);
xlabel('time (s)'); ylabel('tstat'); grid on
title('accuracy ~ eig + (1|sub)')
subplot(4,nf,ss + (nf)*3)
ax = gca;
% plot(timerp, [erp1; erp2],'linewidth',2)
ylabel('sum of potentials (\muV)')
yyaxis right; hold all; ax.YAxis(2).Color = 'k';
plot(time, rtscorr_long,'k--','linewidth',1)
% indsig = tfce_rts > rtsnull(ceil(a*N));
% plot(time(indsig),rtscorr_long(indsig),'k*','linewidth',2)
xlim(xl);
xlabel('time (s)'); ylabel('tstat'); grid on
title('stdev(RT) ~ eig + (1|sub)')
subplot(4,nf,ss + (nf)*2)
ax = gca;
% plot(timerp, [erp1; erp2],'linewidth',2);
ylabel('sum of potentials (\muV)')
yyaxis right; hold all; ax.YAxis(2).Color = 'k';
plot(time, rtcorr_long,'k--','linewidth',1)
% indsig = tfce_rt > rtnull(ceil(a*N));
% plot(time(indsig),rtcorr_long(indsig),'k*','linewidth',2)
xlim(xl);
xlabel('time (s)'); ylabel('tstat'); grid on
title('mean(RT) ~ eig + (1|sub)')
%%
figure(3);
set(gcf, 'color' , 'w','position',[104 64 1668 355])
subplot(1,nf,ss )
% [~,t] = min(teig_long);
[~,t]= min(abs(time - 0));
A = table;
A.age = Atb.aged;
A.sub = Atb.sub;
A.eig = eig(:,t);
scatter(A.age, A.eig); hold all; x = xlim;
lme_agelong = fitlme(A, 'eig ~ age + (1|sub)' );
eigeff_long_t = lme_agelong.Coefficients.Estimate;
plot(x,eigeff_long_t(1) + eigeff_long_t(2)*x,'linewidth',2)
for jj = 1:length(subsdir)
sub = subsdir(jj).name(5:end);
inds = A.sub == str2double(sub);
plot(A.age(inds), A.eig(inds),'k')
end
xlabel('age (years)'); ylabel('eigenvalue')
title(sprintf('%s at time %dms',stimname, round(time(t)*1000)))
if ss > 1
figure(4)
set(gcf, 'color' , 'w','position',[203 60 908 855])
subplot(3,nf-1,ss-1 )
[~,t] = min(accorr_long);
A.eig = eig(:,t);
A.accuracy = Atb.accuracy;
scatter(A.eig, A.accuracy); hold all; x = xlim;
lme_acclong = fitlme(A, 'accuracy ~ eig + (1|sub)' );
accseff_long_t = lme_acclong.Coefficients.Estimate(...
strcmp(lme_acclong.CoefficientNames,'(Intercept)') | strcmp(lme_acclong.CoefficientNames,'eig'));
plot(x,accseff_long_t(1) + accseff_long_t(2)*x,'linewidth',2)
for jj = 1:length(subsdir)
sub = subsdir(jj).name(5:end);
inds = A.sub == str2double(sub);
[eigst,sind] = sort(A.eig(inds),'ascend');
a = A.accuracy(inds);
plot(eigst, a(sind),'k')
end
xlabel('eigenvalue'); ylabel('accuracy');
title(sprintf('Accuracy %s at time %dms',stimname,round(time(t)*1000)))
subplot(3,nf-1,ss-1 + (nf-1))
[~,t] = max(rtcorr_long);
A.eig = eig(:,t);
A.RT = Atb.RT;
scatter(A.eig, A.RT); hold all; x = xlim;
lme_rtlong = fitlme(A, 'RT ~ eig + (1|sub)' );
rteff_long_t = lme_rtlong.Coefficients.Estimate(...
strcmp(lme_rtlong.CoefficientNames,'(Intercept)') | strcmp(lme_rtlong.CoefficientNames,'eig'));
plot(x,rteff_long_t(1) + rteff_long_t(2)*x,'linewidth',2)
for jj = 1:length(subsdir)
sub = subsdir(jj).name(5:end);
inds = A.sub == str2double(sub);
[eigst,sind] = sort(A.eig(inds),'ascend');
a = A.RT(inds);
plot(eigst, a(sind),'k')
end
xlabel('eigenvalue'); ylabel('mean(RT)')
title(sprintf('mean(RT) %s at time %dms',stimname,round(time(t)*1000)))
subplot(3,nf-1,ss-1 + 2*(nf-1))
[~,t] = max(rtscorr_long);
A.eig = eig(:,t);
A.RTs = Atb.RTs;
scatter(A.eig, A.RTs); hold all; x = xlim;
lme_rtslong = fitlme(A, 'RTs ~ eig + (1|sub)' );
rtseff_long_t = lme_rtslong.Coefficients.Estimate(...
strcmp(lme_rtslong.CoefficientNames,'(Intercept)') | strcmp(lme_rtslong.CoefficientNames,'eig'));
plot(x,rtseff_long_t(1) + rtseff_long_t(2)*x,'linewidth',2)
for jj = 1:length(subsdir)
sub = subsdir(jj).name(5:end);
inds = A.sub == str2double(sub);
[eigst,sind] = sort(A.eig(inds),'ascend');
a = A.RTs(inds);
plot(eigst, a(sind),'k')
end
xlabel('eigenvalue'); ylabel('stdev(RT)')
title(sprintf('stdev(RT) %s at time %dms',stimname,round(time(t)*1000)))
end
% saveas(gcf,sprintf('/data/liuzzil2/UMD_Flanker/results/LongitudinalAgeEffct_%s_%s_f%dHz_%dcomps_downsamp_norm_w%dms_PC%d.jpg',...
% stimname,cond,downsampf,ncomp,twind*1000,cc));
%
end
% figure(5)
% saveas(gcf,sprintf('/data/liuzzil2/UMD_Flanker/results/ClusterCorr_nbonf%d_%dHz_%s_%dcomps_downsamp_norm%d_w%dms_PC%d.jpg',...
% nbonf,downsampf,cond,ncomp,normalizeopt,twind*1000,cc));
%
% saveas(gcf,sprintf('/data/liuzzil2/UMD_Flanker/results/ClusterCorr_nbonf%d_%dHz_%s_%dcomps_downsamp_norm%d_w%dms_PC%d.fig',...
% nbonf,downsampf,cond,ncomp,normalizeopt,twind*1000,cc));
%
% saveas(gcf,sprintf('/data/liuzzil2/UMD_Flanker/results/ClusterCorr_%dHz_%s_%dcomps_downsamp_norm%d_w%dms_PC%d.jpg',...
% downsampf,'cue',ncomp,normalizeopt,twind*1000,cc));
% figure(3)
% saveas(gcf,sprintf('/data/liuzzil2/UMD_Flanker/results/AgeLongitudinalEffects_%s_f%dHz_%dcomps_downsamp_norm_w%dms_PC%d.jpg',...
% cond,downsampf,ncomp,twind*1000,cc));
%
% saveas(gcf,sprintf('/data/liuzzil2/UMD_Flanker/results/AgeLongitudinalEffects_%s_f%dHz_%dcomps_downsamp_norm_w%dms_PC%d.fig',...
% cond,downsampf,ncomp,twind*1000,cc));
%
% figure(4)
% saveas(gcf,sprintf('/data/liuzzil2/UMD_Flanker/results/LongitudinalEffects_%s_f%dHz_%dcomps_downsamp_norm_w%dms_PC%d.jpg',...
% cond,downsampf,ncomp,twind*1000,cc));
%
% saveas(gcf,sprintf('/data/liuzzil2/UMD_Flanker/results/LongitudinalEffects_%s_f%dHz_%dcomps_downsamp_norm_w%dms_PC%d.fig',...
% cond,downsampf,ncomp,twind*1000,cc));
%
%
% figure(1)
% saveas(gcf,sprintf('/data/liuzzil2/UMD_Flanker/results/Eigbar_%s_f%dHz_%dcomps_downsamp_norm_w%dms_PC%d.fig',...
% cond,downsampf,ncomp,twind*1000,cc));
% saveas(gcf,sprintf('/data/liuzzil2/UMD_Flanker/results/Eigbar_%s_f%dHz_%dcomps_downsamp_norm_w%dms_PC%d.jpg',...
% cond,downsampf,ncomp,twind*1000,cc));
end