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%% EEG GO during Response task: TASK Post-processing: for Time-Frequency ananlysis
%%% DATA was Segmented from the GO
% Get the directories for pre-processed EEG file folder
clear; clc; close all;
cwd = pwd;
addpath(cwd);
datalocation = [cwd '\ALL_DATA\ALL_Processed_Data\']; % Data are here
savelocation = [cwd '\ALL_DATA\ALL_Processed_Data\']; % Data save here
cd(datalocation);
[~, ~, SubjInfo] = xlsread([ cwd '\Patients_MS.xlsx'],'AllPedaling');
%%
for nn = 1: 2%size(SubjInfo,1)
type = SubjInfo{nn,1};
subj = SubjInfo{nn, 2};
disp([type,num2str(subj),'_Ped_Processed.mat']);
load([type,num2str(subj),'_Ped_Processed.mat']);
%Get Subj Info and remove the bad ICAs on the basis of VEOG correlation
%Bad ICAS 1,2,3 are ADJUST, VEOG correlation, and Gaussian template.
%ADJUST is a stand-alone program that isn't very good.
%VEOG correlation is the most reliable and the gaussian template can be useful.
%APPLE VEOG corr is RESP about 85% of teh time.
% % Get the data here and remove bad ICAs: VEOG and TEMPLATE
temp1a = cell2mat(bad_ICAs(2)); % 2 = bad_VEOG_ICAs
temp1b = cell2mat(bad_ICAs(3)); % 3 = Bad TEMPLATE ICAs
temp1 = [temp1a temp1b];
tpidx = find (temp1==0);
temp1(tpidx)=[];
if isempty(temp1)
temp1 = 'NaN';
end
if isnumeric(temp1)
bad_ICAs_To_Remove=temp1;
elseif strmatch('NaN',temp1)
bad_ICAs_To_Remove=NaN;
else
bad_ICAs_To_Remove=str2num(temp1);
end
clear temp1a temp1b temp1 tpidx;
%%% Remove the (presumptive) bad ICAs:
if ~(isnan(bad_ICAs_To_Remove))
EEG = pop_subcomp( EEG, bad_ICAs_To_Remove, 0);
end
clear bad_ICAs_To_Remove bad_chans bad_epochs bad_ICAs
%% ################################### TIME FREQUENCY ANALYSIS %% ########################################################
% Set Times
tx=EEG.times;
b1=find(tx==-300); b2=find(tx==-100); %% Baseline
t1=find(tx==-500); t2=find(tx==2000);
tx2disp=-500:2:2000;
%%%%%%%%%%%%%%%%%%% Setup Wavelet Params %%%%%%%%%%%%%%%%%%%%%%%%%%%%
min_freq = 1.0233;
max_freq = 50;
num_freqs=50;
%%%%% logspace
frex = logspace(log10(min_freq),log10(max_freq),num_freqs);
s=logspace(log10(3),log10(10),num_freqs)./(2*pi*frex);
%%%% timelength of the wavelet
t=-2:1/EEG.srate:2;
% Definte Convolution Parameters
n_wavelet = length(t); half_of_wavelet_size = (n_wavelet-1)/2; clear dims
% -------- GO
dims{1} = size(EEG.data); n_data{1} = dims{1}(2)*dims{1}(3); n_convolution{1} = n_wavelet+n_data{1}-1; n_conv_pow2{1} = pow2(nextpow2(n_convolution{1}));
%%% decide channels
channels = EEG.nbchan;
for chani = 1:channels
% get FFT of data
EEG_fft{1} = fft(reshape(EEG.data (chani,:,:),1,n_data{1}),n_conv_pow2{1});
for fi=1:num_freqs
wavelet{1} = fft( exp(2*1i*pi*frex(fi).*t) .* exp(-t.^2./(2*(s(fi)^2))) , n_conv_pow2{1} );
% convolution for 1 data set
for convo=1
EEG_conv = ifft(wavelet{convo}.*EEG_fft{convo});
EEG_conv = EEG_conv(1:n_convolution{convo});
EEG_conv = EEG_conv(half_of_wavelet_size+1:end-half_of_wavelet_size);
EEG_multi_conv{convo} = reshape(EEG_conv,dims{convo}(2),dims{convo}(3)); clear EEG_conv;
temp_POWER{convo} = abs(EEG_multi_conv{convo}(t1:t2,:)).^2;
end
% Baseline {1}
BASE = mean(mean(abs( EEG_multi_conv{1}(b1:b2,:)).^2));
temp_POWER_avg(:,1) = mean(temp_POWER{1}(:,:),2); % GO
% dB correct power by base
% WARNING CUE; GO/GO Cue; RESPONSE
POWER(chani,fi,:,1) = 10*( log10(temp_POWER_avg(:,1)) - log10(repmat(BASE,size(temp_POWER_avg(:,1),1),1)) ); % GO
clear temp* EEG_multi_conv wavelet BASE1 BASE2;
end
clear *_fft;
end
% plot figure
% ChanCz = find(strcmpi('Cz',{EEG.chanlocs.labels}));
% yfreq = 50;
%
% imagesc(tx2disp,[], squeeze( POWER(ChanCz,:,:,1))); axis xy; hold on; plot([0 0],[1 yfreq],'k:');
% set(gca,'xlim',[tx2disp(1),tx2disp(end)],'ylim',[1 50],'clim',[-4 4],'YTick',1:4:length(frex),'YTickLabel',round(frex(1:4:end))); title('Cz: POWER');
% suptitle([type,num2str(subj)]);
% saveas(gcf, [savelocation, type,num2str(subj),'_ANALYZED.png']);
%% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% SAVE DATA %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
chanlocs = EEG.chanlocs;
MainOuts.POWER = POWER;
save([savelocation, type,num2str(subj),'_ANALYZED.mat'],'MainOuts','chanlocs' );
%% Clear everything except some variables to run loop
close all;
clearvars -except datalocation savelocation SubjInfo
end
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