scripts/Figure_Suppl_All_Bands_Power.m

%% Step 3: Plot Time-Frequnecy Results and tf-ROIs bar plots with statistics
clear; clc; close all;

cwd = pwd; 
addpath(cwd);

datalocation = [cwd '\ALL_DATA\ALL_Processed_Data\'];   % Data are here
% cd(datalocation);

% % sort all subject groups
[~, ~, groupTable] = xlsread([ cwd '\Patients_MS.xlsx'],'ALL_GROUP');
groupIDs = cell2mat(groupTable(2:end,:) );

% % load clinical scores for correlation analysis
[~, ~, groupInfo] = xlsread([ cwd '\Patients_MS.xlsx'],'Ped_Subjs');

CTLids    = groupIDs(:,1); CTLids   (isnan(CTLids))    = [];
PD_NFZids = groupIDs(:,2); PD_NFZids(isnan(PD_NFZids)) = [];
PD_FZids  = groupIDs(:,3); PD_FZids(isnan(PD_FZids))   = [];
clear groupIDs

%% Import all analysis results here to plot
%  #################### CONTROLS #####################################
for n = 1:length(CTLids)
    
    disp([datalocation,'Control',num2str(CTLids(n)),'_ANALYZED.mat']);
    load([datalocation,'Control',num2str(CTLids(n)),'_ANALYZED.mat']);    
 
    CTL.POWER(n,:,:,:,:)   = MainOuts.POWER;
    clear MainOuts
end

% % #################### PD NON-FREEZERS #############################
for n = 1:length(PD_NFZids)
    disp([datalocation,'PD',num2str(PD_NFZids(n)),'_ANALYZED.mat']);
    load([datalocation,'PD',num2str(PD_NFZids(n)),'_ANALYZED.mat']);    
    
    NFZ.POWER(n,:,:,:,:)   = MainOuts.POWER;
    clear MainOuts 
end

% % #################### PD FREEZERS #################################
for n = 1:length(PD_FZids)
    disp([datalocation,'PD',num2str(PD_FZids(n)),'_ANALYZED.mat']);
    load([datalocation,'PD',num2str(PD_FZids(n)),'_ANALYZED.mat']);    
    
    FZ.POWER(n,:,:,:,:)   = MainOuts.POWER;
    clear MainOuts
end


%% Time-FREQUENCY POWER
tx2disp=-500:2:2000;
XLIM = [-500 2000];

min_freq = 1.0233;    max_freq = 50;    num_freqs=50;
frex = logspace(log10(min_freq),log10(max_freq),num_freqs); 

CONDI = 1; % 1=GO cue;
CHANI(1)   = find(strcmpi('Cz',{chanlocs.labels}));

ch = 1;

% % % Save power values for frequency bands values for correlation analysis
ExpPOWER.CTL{ch} = CTL.POWER(:,CHANI(ch),:,:,CONDI);
ExpPOWER.NFZ{ch} = NFZ.POWER(:,CHANI(ch),:,:,CONDI);
ExpPOWER.FZ{ch}  = FZ. POWER(:,CHANI(ch),:,:,CONDI);

% % %%%% Define: Delta and Beta for pedaling Initiation

% Frequnecy bands
fqidx1 = max(find(frex <=3.5) ) ;   fqidx2 =  max(find(frex <=7.5) );    fqidx3 = max(find(frex <=12.5) );   fqidx4 =  max(find(frex <=30) ); fqidx5 =  max(find(frex <=50) );

tx1=0;
tx2=400;
tmidx1 = find(round(tx2disp)==tx1); tmidx2 = find(round(tx2disp)==tx2);

%%% pedaling 
powCTL_ped.Te(:,ch) = squeeze(mean(mean(ExpPOWER.CTL{ch}(:,:,fqidx1:fqidx2,tmidx1:tmidx2),3),4 ));
powCTL_ped.Al(:,ch) = squeeze(mean(mean(ExpPOWER.CTL{ch}(:,:,fqidx2:fqidx3,tmidx1:tmidx2),3),4 ));  
powCTL_ped.Be(:,ch) = squeeze(mean(mean(ExpPOWER.CTL{ch}(:,:,fqidx3:fqidx4,tmidx1:tmidx2),3),4 ));
powCTL_ped.Ga(:,ch) = squeeze(mean(mean(ExpPOWER.CTL{ch}(:,:,fqidx4:fqidx5,tmidx1:tmidx2),3),4 ));  

powNFZ_ped.Te(:,ch) = squeeze(mean(mean(ExpPOWER.NFZ{ch}(:,:,fqidx1:fqidx2,tmidx1:tmidx2),3),4 ));
powNFZ_ped.Al(:,ch) = squeeze(mean(mean(ExpPOWER.NFZ{ch}(:,:,fqidx2:fqidx3,tmidx1:tmidx2),3),4 ));  
powNFZ_ped.Be(:,ch) = squeeze(mean(mean(ExpPOWER.NFZ{ch}(:,:,fqidx3:fqidx4,tmidx1:tmidx2),3),4 ));
powNFZ_ped.Ga(:,ch) = squeeze(mean(mean(ExpPOWER.NFZ{ch}(:,:,fqidx4:fqidx5,tmidx1:tmidx2),3),4 )); 

powFZ_ped.Te(:,ch) = squeeze(mean(mean(ExpPOWER.FZ{ch}(:,:,fqidx1:fqidx2,tmidx1:tmidx2),3),4 ));
powFZ_ped.Al(:,ch) = squeeze(mean(mean(ExpPOWER.FZ{ch}(:,:,fqidx2:fqidx3,tmidx1:tmidx2),3),4 ));  
powFZ_ped.Be(:,ch) = squeeze(mean(mean(ExpPOWER.FZ{ch}(:,:,fqidx3:fqidx4,tmidx1:tmidx2),3),4 ));
powFZ_ped.Ga(:,ch) = squeeze(mean(mean(ExpPOWER.FZ{ch}(:,:,fqidx4:fqidx5,tmidx1:tmidx2),3),4 ));  

% % % Plot selcted band for boxplot with scatter plot to see each values
%%%% for pedaling ROIs
Theta_Ped = [powCTL_ped.Te;  powNFZ_ped.Te;  powFZ_ped.Te ];
Alpha_Ped = [powCTL_ped.Al;  powNFZ_ped.Al;  powFZ_ped.Al ];
Beta_Ped  = [powCTL_ped.Be;  powNFZ_ped.Be;  powFZ_ped.Be ];
Gamma_Ped = [powCTL_ped.Ga;  powNFZ_ped.Ga;  powFZ_ped.Ga ];

%%%% group data
nCTL = length(powCTL_ped.Te(:,1));
nNFZ = length(powNFZ_ped.Te(:,1));
nFZ  = length(powFZ_ped.Te(:,1));

for nn = 1:nCTL
    bandMdVar1{nn,1} = sprintf('%s', 'CTL');    
    bandMdVar1{nn,2} =1 ; 
end 
for nn = nCTL+1: nNFZ+ nNFZ
    bandMdVar1{nn,1} = sprintf('%s', 'NFZ');  
    bandMdVar1{nn,2}=2; 
end

for nn = nCTL+nNFZ+1:nCTL+nNFZ+nFZ
    bandMdVar1{nn,1} = sprintf('%s', 'FZ');  
    bandMdVar1{nn,2}=3; 
end

% % %%% for Pedaling tf-ROIs
% Theta ANOVA and ttest
[pTe,tblTe]     = anova1([powCTL_ped.Te powNFZ_ped.Te powFZ_ped.Te]);
[~,pTeCTLNFZ,~,~] = ttest2( powCTL_ped.Te,  powNFZ_ped.Te );   [~,pTeCTLFZ,~,~]  = ttest2( powCTL_ped.Te,  powFZ_ped.Te);   [~,pTeNFZFZ,~,~]  = ttest2( powNFZ_ped.Te,  powFZ_ped.Te );

% Alpha ANOVA and ttest
[pAl,tblAl]     = anova1([powCTL_ped.Al powNFZ_ped.Al powFZ_ped.Al]);
[~,pAlCTLNFZ,~,~] = ttest2( powCTL_ped.Al,  powNFZ_ped.Al );   [~,pAlCTLFZ,~,~]  = ttest2( powCTL_ped.Al,  powFZ_ped.Al);   [~,pAlNFZFZ,~,~]  = ttest2( powNFZ_ped.Al,  powFZ_ped.Al );

% Beta ANOVA and ttest
[pBe,tblBe]     = anova1([powCTL_ped.Be powNFZ_ped.Be powFZ_ped.Be]);
[~,pBeCTLNFZ,~,~] = ttest2( powCTL_ped.Be,  powNFZ_ped.Be );   [~,pBeCTLFZ,~,~]  = ttest2( powCTL_ped.Be,  powFZ_ped.Be);   [~,pBeNFZFZ,~,~]  = ttest2( powNFZ_ped.Be,  powFZ_ped.Be );

% Gamma ANOVA and ttest
[pGa,tblGa]     = anova1([powCTL_ped.Ga powNFZ_ped.Ga powFZ_ped.Ga]);
[~,pGaCTLNFZ,~,~] = ttest2( powCTL_ped.Ga,  powNFZ_ped.Ga );   [~,pGaCTLFZ,~,~]  = ttest2( powCTL_ped.Ga,  powFZ_ped.Ga);   [~,pGaNFZFZ,~,~]  = ttest2( powNFZ_ped.Ga,  powFZ_ped.Ga );

close all;

figure('rend','painters','pos',[10 10 1500 1000]);
subplot(221);
boxplot(Theta_Ped,bandMdVar1(:,1), 'OutlierSize',12);  hold on;
gscatter( cell2mat(bandMdVar1(:,2)) , Theta_Ped, bandMdVar1(:,1), 'kgr'); hold off; ylabel('POWER (dB)'); legend off; ylim([-2 6]);
title(['Theta:', ' ANOVAp = ' , num2str(pTe), '; pCTL-NFZ=' , num2str(pTeCTLNFZ), '; pCTL-FZ=' , num2str(pTeCTLFZ), '; pNFZ-FZ=' , num2str(pTeNFZFZ)]);


subplot(223);
boxplot(Alpha_Ped,bandMdVar1(:,1), 'OutlierSize',12);  hold on;
gscatter( cell2mat(bandMdVar1(:,2)) , Alpha_Ped, bandMdVar1(:,1), 'kgr'); hold off; ylabel('POWER (dB)'); legend off; ylim([-7 2]);
title(['Alpha:', ' ANOVAp = ' , num2str(pAl), '; pCTL-NFZ=' , num2str(pAlCTLNFZ), '; pCTL-FZ=' , num2str(pAlCTLFZ), '; pNFZ-FZ=' , num2str(pAlNFZFZ)]);


subplot(222);
boxplot(Beta_Ped,bandMdVar1(:,1), 'OutlierSize',12);  hold on;
gscatter( cell2mat(bandMdVar1(:,2)) , Beta_Ped, bandMdVar1(:,1), 'kgr'); hold off; ylabel('POWER (dB)'); legend off; ylim([-6 3]);
title(['Beta:', ' ANOVAp = ' , num2str(pBe), '; pCTL-NFZ=' , num2str(pBeCTLNFZ), '; pCTL-FZ=' , num2str(pBeCTLFZ), '; pNFZ-FZ=' , num2str(pBeNFZFZ)]);

subplot(224);
boxplot(Gamma_Ped,bandMdVar1(:,1), 'OutlierSize',12);  hold on;
gscatter( cell2mat(bandMdVar1(:,2)) , Gamma_Ped, bandMdVar1(:,1), 'kgr'); hold off; ylabel('POWER (dB)'); legend off; ylim([-3 3]);
title(['Gamma:', ' ANOVAp = ' , num2str(pGa), '; pCTL-NFZ=' , num2str(pGaCTLNFZ), '; pCTL-FZ=' , num2str(pGaCTLFZ), '; pNFZ-FZ=' , num2str(pGaNFZFZ)]);


suptitle(['tf-ROI power; time: ', num2str(tx1) ,' - ', num2str(tx2), ' ms']);

% print -painters -depsc All_bands_400ms.eps