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MainTFFeaturesToWrite.m
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% This main file performs time-frequency analysis on continnous EEG signals
% Ehsan Eqlimi, @WAVES, UGent,Belgium November 2020
%Last Update: 12/03/2021 by EE
%Last Update: 14/02/2021 by EE
clc;clear;close all;
%% Initialization
warning('off');
currentFolder = pwd;
EEGDataPath=[currentFolder '\Data_PP_Corrected\'];
addpath([currentFolder '\fieldtrip-20200220'])% feildtrip toolbox
addpath([currentFolder '\eeglab2019_1']); %Addpath EEGlab toolbox for filtering, reading loc file (electrode), and plotting PSD topographic maps
% addpath('D:\eeglab_current\eeglab2019_1');
addpath([currentFolder '\FASTER']); %Addpath EEGlab toolbox for filtering, reading loc file (electrode), and plotting PSD topographic maps
%Note: BioSig plugin is needed. BioSig is a plugin for eeglab to read EDF
%data.
% Determine where your m-file's folder is.
% folder = fileparts(which('MainFile.m'));
% % Add that folder plus all subfolders to the path.
% addpath(genpath(folder));
Domain='HC*avgmast'; %'avgall';
EDFDir=dir(fullfile(EEGDataPath,[ '*' Domain '.edf']));%'*corrected.edf'
[ALLEEG, ~, ~, ~] = eeglab;
CatTable=[];
%% PSD Parameters
Frames=0;
SelFreq=[2,5,10,20,40]; % Selected frequency
Lim=[0 60 -20 70 -10 10]; % Limit
Nchannel=32;
%% Epoching and windowing parameters
TimeRange=[0 6]; %Second or [0 4.5]
BaselineWin=[0.3 0.6];
%%%%%Induced parameters:
TimeRange_PreSent_Ind= [1.5 2.0]; %previuous selection: [1.5 2]; %Second
TimeRange_DuringSent_Ind=[2.5 3.5]; %previuous selection: [2.5 4.5]; %Second
TimeRange_PostSent_Ind=[4.5 5.5];%Second
%%%%%%%%Evoked Parameter:
TimeRange_PostMTB_Evk=[1 1.4];% Previuous selction: [1 1.5]; %Second
TimeRange_PreSent_Evk=[1.5 2]; % Presentence antipating alpha power?
TimeRange_PostSent_Evk=[2 2.4];%Second
BaseLineNormtype='db';
Norm=1;
SelChanSwitch=1; %only desired channels;
SelChannLabels={'F4','Fz','F3','C4','Cz','C3','FCz','FC5','FC6','FC2','FC1'};% Induced: 'F4','Fz','F3','C4','Cz','C3','P4','Pz','P3' %Evoked: 'F4','Fz','F3','C4','Cz','C3','FCz','FC5','FC6','FC2','FC1'
%% Time frequency parameters
TFParam.pad =[];
TFParam.keeptrials= 'yes';
TFParam.output= 'fourier';
TFParam.channel= 'EEG';
TFParam.method='mtmconvol';
TFParam.taper='hanning';
TFParam.foi= 1:2:30;% analysis 1 to 13 Hz in steps of 2 Hz
TFParam.t_ftimwin=ones(length(TFParam.foi),1).*0.5; %length of time window = 0.5 sec
TFParam.toi= 0:0.05:TimeRange(2)-TimeRange(1);
Method='itpcz';%itpc
%% Main loop for subjects
for i=1:length(EDFDir) % i-->Subject
disp(['Subject #' num2str(i)]);
FileName=[EEGDataPath EDFDir(i).name];
EEG=pop_biosig(FileName);
EEG=eeg_checkset(EEG);
[ALLEEG, EEG, CURRENTSET, com]=pop_newset(ALLEEG, EEG, 0,'gui','off'); % And make this a new set
%% Create Channel location
Elec=readtable([EEGDataPath 'BC-32-X4.txt']);
EEGChanLoc=FnEEGChanLocCreate(Elec);
EEG.chanlocs=EEGChanLoc;
%% PSD
Fs=EEG.srate;
if 0
Title=['PSD-' EDFDir(i).name];
figure,
[Spectra,Freqs,Speccomp,Ccontrib,Specstd] = ...
spectopo(EEG.data, Frames, Fs, 'freq',SelFreq,...
'chanlocs',EEGChanLoc,'limits',Lim,'title', Title,'electrodes','labels');
end
%% If you want to reject bad and noisy EEg channels, uncomment below:
% [EEG,indelec] = pop_rejchan(EEG, 'elec',[1:32] ,'threshold',5,'norm','on','measure','kurt');
%% Create EEG (32 Chan.) Layout (it is needed for multi-topoplot)
OurLayout=FnEEGLayoutCreate(EEGChanLoc);
%% Read and add markers
%%%% Read marker file
FilenameMarkers=[FileName(1:end-4) '.Markers'];
[EEG,FinalEventName,FinalEventTimes]=FnAddMarkers(EEG,FilenameMarkers);
%% Epoching using EEGLab (optional)
% EEG_S14 = pop_epoch( EEG, {'S 14'} , [0 6], 'newname', 'BDF file resampled epochs', 'epochinfo', 'yes');
% EEG_S16 = pop_epoch( EEG, {'S 16'} , [0 6], 'newname', 'BDF file resampled epochs', 'epochinfo', 'yes');
%% Write channel added EDF file (optional)
% pop_writeeeg(EEG, [FileName(1:end-4) '_ChannelAdded.edf'], 'TYPE','EDF');
%% Remove bad epochs (0-4.5 s) using EEGlab
EEG_S14 = pop_epoch( EEG, {'S 14'} , TimeRange, 'newname', 'BDF file resampled epochs', 'epochinfo', 'yes');
% EEG_S14 = pop_eegthresh(EEG_S14,1,[1:size(EEG.data,1)] ,-200,200,0,4.5,0,1);%Artifact rejection
EEG_S16 = pop_epoch( EEG, {'S 16'} , TimeRange, 'newname', 'BDF file resampled epochs', 'epochinfo', 'yes');
% EEG_S16= pop_eegthresh(EEG_S16,1,[1:size(EEG.data,1)] ,-200,200,0,4.5,0,1);%Artifact rejection
%% Remove bad epochs using FASTER
% FASTER: Fully Automated Statistical Thresholding for EEG artifact Rejection (Nolan et al., 2010, J Neurosci Methods)
cfg=[]; % create Fieldtrip-like structure
cfg.datachan=1:size(EEG.data,1); % select scalp electrodes
% cfg.eyechan = [65 66 67 68]; % select eye channels (useful if running ICA)
cfg.thresh=[3 3 3 3 3 12]; % see help eegF_FASTER for a description of each number. Lower numbers are more conservative.
trials2remove14=[];
[~,EEG_S14,trials2remove14]=eegF_FASTER_OnlyEpoch(cfg,EEG_S14); % run eegF_FASTER function
EEG_S14=pop_select(EEG_S14,'notrial',trials2remove14); % remove bad epochs
trials2remove16=[];
[~,EEG_S16,trials2remove16]=eegF_FASTER_OnlyEpoch(cfg,EEG_S16); % run eegF_FASTER function
EEG_S16=pop_select(EEG_S16,'notrial',trials2remove16); % remove bad epochs
%% Converting EEGlab data to filedtrip data
DataS14 = eeglab2fieldtrip(EEG_S14,'preprocessing','none');
DataS16 = eeglab2fieldtrip(EEG_S16,'preprocessing','none');
if 1 %use 1 for Grand averageing
%% Concatenating S14 and S16 for finding Grand-Grand average TF
cfg = [];
MergedData=ft_appenddata(cfg, DataS14, DataS16);
%% Apply TF on Merged Data and baseline normalization
TFCat=FnTimeFreqAnalysis(MergedData,TFParam);
TFCat.dimord='chan_freq_time';
PowerTemp=FnInducedPower(TFCat.fourierspctrm);
TFCat.powspctrm=squeeze(nanmean(PowerTemp,1));% I added power data for baseline norm.
TFCat_BaseNormed=TFCat;
if Norm
cfg=[]; cfg.baseline=BaselineWin; %previuous selection: [0.5 0.8]; %second
cfg.parameter={'powspctrm'}; %fourierspctrm
cfg.baselinetype=BaseLineNormtype; %or relchange %or dB
[TFCat_BaseNormed,meanVals] = ft_freqbaseline_EE(cfg, TFCat); %Baseline normalization, %meanVals--> baseline
end
%%InducedPowerCat=FnInducedPower(TFCat_BaseNormed.fourierspctrm);%Induced Power
MeanIndPowerTrialsCat= TFCat_BaseNormed.powspctrm;%Average over trilas
MeanIndPowerTrialsChannCat(:,:,i)=squeeze(nanmean(MeanIndPowerTrialsCat,1));%Average over channels
[EvokedPowerCat,MeanEvokedTrialsChannCat(:,:,i)]=FnEvokedPower(TFCat.fourierspctrm,Method);%Evoked power (for evoked power (plv), I did'nt apply baseline normalization, it does not make sense
%% Find evoked and induced power for merged data
FreqRange=[8 12]; %Hz
%%TimeRange_PreSent= [1.5 2.0]; %previuous selection: [1.5 2]; %Second
MeanInducedPowerCat_PreSent(:,i)=FnFindInducedPowerinSelTime(FreqRange,TimeRange_PreSent_Ind,TFCat_BaseNormed,MeanIndPowerTrialsCat);
%%TimeRange_DuringSent=[2.5 3.5]; %previuous selection: [2.5 4.5]; %Second
MeanInducedPowerCat_DuringSent(:,i)=FnFindInducedPowerinSelTime(FreqRange,TimeRange_DuringSent_Ind,TFCat_BaseNormed,MeanIndPowerTrialsCat);
%%TimeRange_PosySent=[2.5 3.5]; %previuous selection: [2.5 4.5]; %Second
MeanInducedPowerCat_PostSent(:,i)=FnFindInducedPowerinSelTime(FreqRange,TimeRange_PostSent_Ind,TFCat_BaseNormed,MeanIndPowerTrialsCat);
FreqRange=[2 8]; %Hz
%%TimeRange_PostMTB=[1 1.4];% Previuous selction: [1 1.5]; %Second
MeanEvokedPowerCat_PostMTB(:,i)=FnFindEvokedPowerinSelTime(FreqRange,TimeRange_PostMTB_Evk,TFCat,EvokedPowerCat);
%%TimeRange_PostSent=[2 2.4];%Second
MeanEvokedPowerCat_PostSent(:,i)=FnFindEvokedPowerinSelTime(FreqRange,TimeRange_PostSent_Evk,TFCat,EvokedPowerCat);
FreqRange=[8 12]; %Hz
%%TimeRange_PreSent=[1.5 2]; %Second
MeanEvokedPowerCat_PreSent(:,i)=FnFindEvokedPowerinSelTime(FreqRange,TimeRange_PreSent_Evk,TFCat,EvokedPowerCat);
end
if 1 %Use 0 for Grand Averaging
%% Time-Frequency analysis
if 0 %just test
%*********************** Create S 14 (-5 dB SNR) **********************
DataS14=FnCreateEpochedData(FileName,FinalEventName,FinalEventTimes,TimeRange,Fs,'S 14');
%****************** Create S16 (+5 dB SNR)**************************
DataS16=FnCreateEpochedData(FileName,FinalEventName,FinalEventTimes,TimeRange,Fs,'S 16');
end
%******************Time-Frequncy for S14 ****************************
%Update: Baseline normalization was added
TFS14=FnTimeFreqAnalysis(DataS14,TFParam);
TFS14.dimord='chan_freq_time';
PowerTemp=FnInducedPower(TFS14.fourierspctrm);
TFS14.powspctrm=squeeze(nanmean(PowerTemp,1));% I added power data for baseline norm.
cfg=[]; cfg.baseline=BaselineWin; %previuous selection: [0.5 0.8]; %second
cfg.parameter={'powspctrm'}; %fourierspctrm
cfg.baselinetype=BaseLineNormtype; %or relchange %or dB
%Condition-specefic besline
%[TFS14_BaseNormed] = ft_freqbaseline(cfg, TFS14); %Baseline normalization
%Averaged baseline
% % data = 10*log10(data ./ meanVals);
TFS14_BaseNormed=TFS14;
if Norm
TFS14_BaseNormed.powspctrm=10*log10( TFS14.powspctrm ./ meanVals);
end
%%InducedPowerCat=FnInducedPower(TFCat_BaseNormed.fourierspctrm);%Induced Power
MeanIndPowerTrialsS14= TFS14_BaseNormed.powspctrm;%Average over trilas
if SelChanSwitch==1
[SelLab,SelInd,~]=intersect(TFS14.label,SelChannLabels,'stable');%you should insert the desired channel labels, here
MeanIndPowerTrialsChannS14_Sel(:,:,i)=squeeze(nanmean(MeanIndPowerTrialsS14(SelInd,:,:),1));%Average over channels
[EvokedPowerS14,MeanEvokedTrialsChannS14_Sel(:,:,i)]=FnEvokedPower(TFS14.fourierspctrm(:,SelInd,:,:),Method);%Evoked power (for evoked power (plv), I did'nt apply baseline normalization, it does not make sense
end
MeanIndPowerTrialsChannS14(:,:,i)=squeeze(nanmean(MeanIndPowerTrialsS14,1));%Average over channels
[EvokedPowerS14,MeanEvokedTrialsChannS14(:,:,i)]=FnEvokedPower(TFS14.fourierspctrm,Method);%Evoked power (for evoked power (plv), I did'nt apply baseline normalization, it does not make sense
% MeanIndPowerTrialsChannS14(:,:,i)=squeeze(nanmean(MeanIndPowerTrialsS14,1));%Average over channels
% [EvokedPowerS14,MeanEvokedTrialsChannS14(:,:,i)]=FnEvokedPower(TFS14.fourierspctrm,Method);%Evoked power (for evoked power (plv), I did'nt apply baseline normalization, it does not make sense
% % TFS14=FnTimeFreqAnalysis(DataS14,TFParam);
% % TFS14.dimord='chan_freq_time';
% % PowerTemp=FnInducedPower(TFS14.fourierspctrm);%induced power
% % TFS14.powspctrm=squeeze(nanmean(PowerTemp),1);% I added power data for baseline norm.
% % cfg=[]; cfg.baseline=BaselineWin; %previuous selection: [0.5 0.8]; %second
% % cfg.parameter={'powspctrm'}; %fourierspctrm
% % cfg.baselinetype='db'; %or relchange %or absolute
% % [TFS14_BaseNormed] = ft_freqbaseline(cfg, TFS14); %Baseline normalization
% % %%InducedPowerCat=FnInducedPower(TFCat_BaseNormed.fourierspctrm);%Induced Power
% % MeanIndPowerTrialsS14=TFS14_BaseNormed.powspctrm;%Induced Power
% % % MeanIndPowerTrialsS14=squeeze(nanmean(InducedPowerS14,1));%Average over trilas
% % MeanIndPowerTrialsChannS14(:,:,i)=squeeze(nanmean(MeanIndPowerTrialsS14,1));%Average over channels
% % [EvokedPowerS14,MeanEvokedTrialsChannS14(:,:,i)]=FnEvokedPower(TFS14.fourierspctrm,Method);%Evoked power (for evoked power (plv), I did'nt apply baseline normalization, it does not make sense
%******************Time-Frequncy for S14 ****************************
%Update: Baseline normalization was added
TFS16=FnTimeFreqAnalysis(DataS16,TFParam);
TFS16.dimord='chan_freq_time';
PowerTemp=FnInducedPower(TFS16.fourierspctrm);
TFS16.powspctrm=squeeze(nanmean(PowerTemp,1));% I added power data for baseline norm.
cfg=[]; cfg.baseline=BaselineWin; %previuous selection: [0.5 0.8]; %second
cfg.parameter={'powspctrm'}; %fourierspctrm
cfg.baselinetype=BaseLineNormtype; %or relchange %or dB
%Condition-specefic besline
%[TFS16_BaseNormed] = ft_freqbaseline(cfg, TFS16); %Baseline normalization
%Averaged baseline
TFS16_BaseNormed=TFS16;
if Norm
TFS16_BaseNormed.powspctrm=10*log10( TFS16.powspctrm ./ meanVals);
end
%%InducedPowerCat=FnInducedPower(TFCat_BaseNormed.fourierspctrm);%Induced Power
MeanIndPowerTrialsS16= TFS16_BaseNormed.powspctrm;%Average over trilas
%%%% Channel Selection
if SelChanSwitch==1
[SelLab,SelInd,~]=intersect(TFS16.label,SelChannLabels,'stable');%you should insert the desired channel labels, here
MeanIndPowerTrialsChannS16_Sel(:,:,i)=squeeze(nanmean(MeanIndPowerTrialsS16(SelInd,:,:),1));%Average over channels
[EvokedPowerS16,MeanEvokedTrialsChannS16_Sel(:,:,i)]=FnEvokedPower(TFS16.fourierspctrm(:,SelInd,:,:),Method);%Evoked power (for evoked power (plv), I did'nt apply baseline normalization, it does not make sense
end
MeanIndPowerTrialsChannS16(:,:,i)=squeeze(nanmean(MeanIndPowerTrialsS16,1));%Average over channels
[EvokedPowerS16,MeanEvokedTrialsChannS16(:,:,i)]=FnEvokedPower(TFS16.fourierspctrm,Method);%Evoked power (for evoked power (plv), I did'nt apply baseline normalization, it does not make sense
% % MeanIndPowerTrialsChannS16(:,:,i)=squeeze(nanmean(MeanIndPowerTrialsS16,1));%Average over channels
% % [EvokedPowerS16,MeanEvokedTrialsChannS16(:,:,i)]=FnEvokedPower(TFS16.fourierspctrm,Method);%Evoked power (for evoked power (plv), I did'nt apply baseline normalization, it does not make sense
% % TFS16=FnTimeFreqAnalysis(DataS16,TFParam);
% % TFS16.dimord='chan_freq_time';
% % PowerTemp=FnInducedPower(TFS16.fourierspctrm);%induced power
% % TFS16.powspctrm=squeeze(nanmean(PowerTemp),1);% I added power data for baseline norm.
% % cfg=[]; cfg.baseline=BaselineWin; %previuous selection: [0.5 0.8]; %second
% % cfg.parameter={'powspctrm'}; %fourierspctrm
% % cfg.baselinetype='db'; %or relchange %or absolute
% % [TFS16_BaseNormed] = ft_freqbaseline(cfg, TFS16); %Baseline normalization
% % %%InducedPowerCat=FnInducedPower(TFCat_BaseNormed.fourierspctrm);%Induced Power
% % MeanIndPowerTrialsS16=TFS16_BaseNormed.powspctrm;%Induced Power
% % % MeanIndPowerTrialsS16=squeeze(nanmean(InducedPowerS16,1));%Average over trilas
% % MeanIndPowerTrialsChannS16(:,:,i)=squeeze(nanmean(MeanIndPowerTrialsS16,1));%Average over channels
% % [EvokedPowerS16,MeanEvokedTrialsChannS16(:,:,i)]=FnEvokedPower(TFS16.fourierspctrm,Method);%Evoked power (for evoked power (plv), I did'nt apply baseline normalization, it does not make sense
%%
if 0%Use 1 if you want to run the code based on the preliminary results (26/11/2020)
%*********************** Induced Power for S14 ************************
PowerS14=FnInducedPower(TFS14.fourierspctrm);
MeanPowerTrialsS14=squeeze(nanmean(PowerS14,1));
[SelLab,SelInd,~]=intersect(TFS14.label,{'F3','Fz','F4'},'stable'); % select electrodes for induced
MeanPowerS14=squeeze(nanmean(MeanPowerTrialsS14(SelInd,:,:),1));
%*********************** Induced Power for S16 ***********************
PowerS16=FnInducedPower(TFS16.fourierspctrm);
MeanPowerTrialsS16=squeeze(nanmean(PowerS16,1));
MeanPowerS16=squeeze(nanmean(MeanPowerTrialsS16(SelInd,:,:),1));
%************************************ Plot S14 induced power ************
% if 0
figure,surf(TFParam.toi,TFParam.foi,MeanPowerS14);
caxis([min(MeanPowerS14(:)) max(MeanPowerS14(:))])
shading interp;
xlabel('Time (sec)');ylabel('Frequency (Hz)');zlabel('Power spectrum');
view(0,-90)
h=colorbar;
colormap('jet');
ylabel(h, 'Power averaged across all channels for the whole trial duration')
title(['-5 dB SNR, S14-Subject-' num2str(i)])
%************************************ Plot S16 induced power ************
figure,surf(TFParam.toi,TFParam.foi,MeanPowerS16);
caxis([min(MeanPowerS14(:)) max(MeanPowerS14(:))]) %-max(MeanPowerS14(:))
shading interp;
xlabel('Time (sec)');ylabel('Frequency (Hz)');zlabel('Power spectrum');
view(0,-90)
h=colorbar;
colormap('jet');
ylabel(h, 'Power averaged across all channels for the whole trial duration')
title(['+5 dB SNR, S16-Subject-' num2str(i)])
% end
%% Evoked Power
%**************************** Evoked Power S14 ************************
[EvokedPowerS14,MeanEvokedPowerS14]=FnEvokedPower(TFS14.fourierspctrm,Method);
%**************************** Evoked Power S16 ************************
[EvokedPowerS16,MeanEvokedPowerS16]=FnEvokedPower(TFS16.fourierspctrm,Method);
%*******************************Plot S14 evoked power******************
% if 0
figure,surf(TFParam.toi,TFParam.foi,MeanEvokedPowerS14);
caxis([min(min(MeanEvokedPowerS14(:)),min(MeanEvokedPowerS16(:))) max(max(MeanEvokedPowerS14(:)),max(MeanEvokedPowerS14(:)))])
shading interp;
xlabel('Time (sec)');ylabel('Frequency (Hz)');zlabel('Power spectrum');
view(0,-90)
h=colorbar;
colormap('jet');
ylabel(h, [Method '-Evoked Power averaged across all channels for the whole trial duration']);
title(['-5 dB SNR, S14-Subject-' num2str(i)])
%*******************************Plot S16 evoked power******************
figure,surf(TFParam.toi,TFParam.foi,MeanEvokedPowerS16);
caxis([min(min(MeanEvokedPowerS14(:)),min(MeanEvokedPowerS16(:))) max(max(MeanEvokedPowerS14(:)),max(MeanEvokedPowerS14(:)))])
shading interp;
xlabel('Time (sec)');ylabel('Frequency (Hz)');zlabel('Power spectrum');
view(0,-90)
h=colorbar;
colormap('jet');
ylabel(h, [Method '-Evoked Power averaged across all channels for the whole trial duration']);
title(['+5 dB SNR, S16-Subject-' num2str(i)])
end
% ***************************** pre-stimulus induced alpha-S 14*************
%Upadate: useing baseline normalized TF
FreqRange=[8 12]; %Hz (alpha range)
%%TimeRange_PreSent= [1.5 2]; %previuous selection: [1.4 1.9]; %Second
MeanInducedPowerS14_PreSent(:,i)=FnFindInducedPowerinSelTime(FreqRange,TimeRange_PreSent_Ind,TFS14_BaseNormed,MeanIndPowerTrialsS14);
%%TimeRange_DuringSent=[2.5 3.5]; %previuous selection: [2.5 4.5]; %Second
MeanInducedPowerS14_DuringSent(:,i)=FnFindInducedPowerinSelTime(FreqRange,TimeRange_DuringSent_Ind,TFS14_BaseNormed,MeanIndPowerTrialsS14);
%%TimeRange_PostSent=[4.5 6]; %Second
MeanInducedPowerS14_PostSent(:,i)=FnFindInducedPowerinSelTime(FreqRange,TimeRange_PostSent_Ind,TFS14_BaseNormed,MeanIndPowerTrialsS14);%This power probably is not necessery to check
% ***************************** Plot pre-stimulus induced alpha- S 14************
if 0 %Use 1 for visulaization
Type='Induced Alpha Power';
FnTopoPlotPower(MeanInducedPowerS14_PreSent,EEGChanLoc,0,max(MeanInducedPowerS14_PreSent),Type);
title(['-5 dB SNR, S14-Subject-' num2str(i) '-[' num2str(TimeRange_PreSent(1)) '-'...
num2str(TimeRange_PreSent(2)) '] sec-[' num2str(FreqRange(1)) '-' num2str(FreqRange(2)) '] Hz']);
FnTopoPlotPower(MeanInducedPowerS14_DuringSent,EEGChanLoc,0,max(MeanInducedPowerS14_DuringSent),Type);
title(['-5 dB SNR, S14-Subject-' num2str(i) '-[' num2str(TimeRange_DuringSent(1)) '-'...
num2str(TimeRange_DuringSent(2)) '] sec-[' num2str(FreqRange(1)) '-' num2str(FreqRange(2)) '] Hz']);
FnTopoPlotPower(MeanInducedPowerS14_PostSent,EEGChanLoc,0,max(MeanInducedPowerS14_PostSent),Type);
title(['-5 dB SNR, S14-Subject-' num2str(i) '-[' num2str(TimeRange_PostSent(1)) '-'...
num2str(TimeRange_PostSent(2)) '] sec-[' num2str(FreqRange(1)) '-' num2str(FreqRange(2)) '] Hz']);
end
% ***************************** pre-stimulus induced alpha-S 16*************
%Upadate: useing baseline normalized TF
FreqRange=[8 12]; %Hz (alpha range)
%%TimeRange_PreSent= [1.5 2.0]; %previuous selection: [1.4 1.9]; %Second
MeanInducedPowerS16_PreSent(:,i)=FnFindInducedPowerinSelTime(FreqRange,TimeRange_PreSent_Ind,TFS16_BaseNormed,MeanIndPowerTrialsS16);
%%TimeRange_DuringSent=[2.5 3.5]; %previuous selection: [2.5 4.5]; %Second
MeanInducedPowerS16_DuringSent(:,i)=FnFindInducedPowerinSelTime(FreqRange,TimeRange_DuringSent_Ind,TFS16_BaseNormed,MeanIndPowerTrialsS16);
% TimeRange_DuringSent=[4.5 6]; %Second
MeanInducedPowerS16_PostSent(:,i)=FnFindInducedPowerinSelTime(FreqRange,TimeRange_PostSent_Ind,TFS16_BaseNormed,MeanIndPowerTrialsS16);%This power probably is not necessery to check
% ***************************** Plot pre-stimulus induced alpha- S 14************
if 0 %Use 1 for visulaization
FnTopoPlotPower(MeanInducedPowerS16_PreSent,EEGChanLoc,0,max(MeanInducedPowerS14_PreSent),Type);
title(['+5 dB SNR, S16-Subject-' num2str(i) '-[' num2str(TimeRange_PreSent(1)) '-'...
num2str(TimeRange_PreSent(2)) '] sec-[' num2str(FreqRange(1)) '-' num2str(FreqRange(2)) '] Hz']);
FnTopoPlotPower(MeanInducedPowerS16_DuringSent,EEGChanLoc,0,max(MeanInducedPowerS14_DuringSent),Type);
title(['+5 dB SNR, S16-Subject-' num2str(i) '-[' num2str(TimeRange_DuringSent(1)) '-'...
num2str(TimeRange_DuringSent(2)) '] sec-[' num2str(FreqRange(1)) '-' num2str(FreqRange(2)) '] Hz']);
FnTopoPlotPower(MeanInducedPowerS16_PostSent,EEGChanLoc,0,max(MeanInducedPowerS14_PostSent),Type);
title(['+5 dB SNR, S16-Subject-' num2str(i) '-[' num2str(TimeRange_PostSent(1)) '-'...
num2str(TimeRange_PostSent(2)) '] sec-[' num2str(FreqRange(1)) '-' num2str(FreqRange(2)) '] Hz']);
end
%************************************Multi Plot Power************************
% cfg = [];
% % cfg.baseline = [-0.5 -0.1];
% cfg.baselinetype = 'absolute';
% cfg.zlim = [min(MeanPowerS14(:)) max(MeanPowerS14(:))];
% cfg.showlabels = 'yes';
% cfg.layout = OurLayout;
% cfg.colorbar = 'yes';
% figure
% ft_multiplotTFR(cfg, MeanPowerS14)
% % colormap('jet');
% title(['-5 dB SNR, S14-Subject-' num2str(i) '-Induced Power'])
%************************************Multi Plot PLV************************
% cfg = [];
% % cfg.baseline = [-0.5 -0.1];
% cfg.baselinetype = 'absolute';
% cfg.zlim = [min(MeanPLV_S14(:)) max(MeanPLV_S14(:))];
% cfg.showlabels = 'yes';
% cfg.layout = OurLayout;
% cfg.colorbar = 'yes';
% figure
% Freq_S14_PLV=Freq_S14;
% Freq_S14_PLV.powspctrm=permute(PlVTap,[2 1 3]);
% ft_multiplotTFR(cfg, Freq_S14_PLV)
% % colormap('jet');
% title(['-5 dB SNR, S14-Subject-' num2str(i) '-PLV'])
%% Post-MTB evoked power
% ***************************** post-MTB evoked LF power S14****************
FreqRange=[2 8]; %Hz
%%TimeRange_PostMTB=[1 1.4];% Previuous selction: [1 1.5]; %Second
MeanEvokedPowerS14_PostMTB(:,i)=FnFindEvokedPowerinSelTime(FreqRange,TimeRange_PostMTB_Evk,TFS14,EvokedPowerS14);
%%TimeRange_PostSent=[2 2.4]; %Second
MeanEvokedPowerS14_PostSent(:,i)=FnFindEvokedPowerinSelTime(FreqRange,TimeRange_PostSent_Evk,TFS14,EvokedPowerS14);
% ***************************** Post-MTB evoked LF power S16*************
FreqRange=[2 8]; %Hz
FreqRange_alpha=[8 12]; %Hz
%%TimeRange_PreMTB=[1.5 2];%Second
MeanEvokedPowerS14_PreSent(:,i)=FnFindEvokedPowerinSelTime(FreqRange_alpha,TimeRange_PreSent_Evk,TFS14,EvokedPowerS14);
%% TimeRange_PostMTB=[1 1.4];% Previuous selction: [1 1.5]; %Second
MeanEvokedPowerS16_PostMTB(:,i)=FnFindEvokedPowerinSelTime(FreqRange,TimeRange_PostMTB_Evk,TFS16_BaseNormed,EvokedPowerS16);
%%TimeRange_PostSent=[2 2.4]; %Second
MeanEvokedPowerS16_PostSent(:,i)=FnFindEvokedPowerinSelTime(FreqRange,TimeRange_PostSent_Evk,TFS16_BaseNormed,EvokedPowerS16); %This power probably is not necessery to check
%%TimeRange_PreMTB=[1.5 2];%Second
MeanEvokedPowerS16_PreSent(:,i)=FnFindEvokedPowerinSelTime(FreqRange_alpha,TimeRange_PreSent_Evk,TFS16,EvokedPowerS16);
% ***************************** Plot evoked alpha- S 14************
if 0 %use 1 for visulaization and saving the results based on prelimanary results
Type='Evoked Low-Freq Power';
FnTopoPlotPower(MeanEvokedPowerS14_PostMTB,EEGChanLoc,min(min(MeanEvokedPowerS14_PostMTB),min(MeanEvokedPowerS16_PostMTB)),max(max(MeanEvokedPowerS14_PostMTB),max(MeanEvokedPowerS16_PostMTB)),Type);
title(['-5 dB SNR, S14-Subject-' num2str(i) '-[' num2str(TimeRange_PostMTB(1)) '-'...
num2str(TimeRange_PostMTB(2)) '] sec-[' num2str(FreqRange(1)) '-' num2str(FreqRange(2)) '] Hz']);
FnTopoPlotPower(MeanEvokedPowerS14_PostSent,EEGChanLoc,min(min(MeanEvokedPowerS14_PostSent),min(MeanEvokedPowerS16_PostSent)),max(max(MeanEvokedPowerS14_PostSent),max(MeanEvokedPowerS16_PostSent)),Type);
title(['-5 dB SNR, S14-Subject-' num2str(i) '-[' num2str(TimeRange_PostSent(1)) '-'...
num2str(TimeRange_PostSent(2)) '] sec-[' num2str(FreqRange(1)) '-' num2str(FreqRange(2)) '] Hz']);
% ***************************** Plot evoked alpha- S 16************
FnTopoPlotPower(MeanEvokedPowerS16_PostMTB,EEGChanLoc,min(min(MeanEvokedPowerS14_PostMTB),min(MeanEvokedPowerS16_PostMTB)),max(max(MeanEvokedPowerS14_PostMTB),max(MeanEvokedPowerS16_PostMTB)),Type);
title(['+5 dB SNR, S16-Subject-' num2str(i) '-[' num2str(TimeRange_PostMTB(1)) '-'...
num2str(TimeRange_PostMTB(2)) '] sec-[' num2str(FreqRange(1)) '-' num2str(FreqRange(2)) '] Hz']);
FnTopoPlotPower(MeanEvokedPowerS16_PostSent,EEGChanLoc,min(min(MeanEvokedPowerS14_PostSent),min(MeanEvokedPowerS16_PostSent)),max(max(MeanEvokedPowerS14_PostSent),max(MeanEvokedPowerS16_PostSent)),Type);
title(['+5 dB SNR, S16-Subject-' num2str(i) '-[' num2str(TimeRange_PostSent(1)) '-'...
num2str(TimeRange_PostSent(2)) '] sec-[' num2str(FreqRange(1)) '-' num2str(FreqRange(2)) '] Hz']);
% end
%% Find Fz index
[SelLab,SelInd,~]=intersect(TFS14.label,{'F3','Fz','F4'},'stable');
AllPreStimAlphaPower(i,1)=nanmean(MeanInducedPowerS14_PreSent(SelInd));
AllPreStimAlphaPower(i,2)=nanmean(MeanInducedPowerS16_PreSent(SelInd));
% Find central channel indices
[CentrealElec,CentrealElec1,CentrealEle2]=intersect(TFS14.label,{'FC1','FC2','FCz','C3','Cz','C4'},'stable');
AllPostMTBLFPLV(i,1)=nanmean(MeanEvokedPowerS14_PostMTB(CentrealElec1)); %% also store all electrodes for post-processing
AllPostMTBLFPLV(i,2)=nanmean(MeanEvokedPowerS16_PostMTB(CentrealElec1));
%% Writing
AllPowers=[];
AllPowers=[MeanInducedPowerS14_PreSent MeanInducedPowerS14_DuringSent MeanInducedPowerS14_PostSent ...
MeanInducedPowerS16_PreSent MeanInducedPowerS16_DuringSent MeanInducedPowerS16_PostSent...
MeanEvokedPowerS14_PostMTB MeanEvokedPowerS14_PostSent...
MeanEvokedPowerS16_PostMTB MeanEvokedPowerS16_PostSent...
MeanEvokedPowerS14_PreSent...
MeanEvokedPowerS16_PreSent];
VarNames={'Channles','IndS14PreSent','IndS14DurSent','IndS14PostSent',...
'IndS16PreSent','IndS16DurSent','IndS16PostSent'...
'EvS14PostMTB','EvS14PostSent',...
'EvS16PostMTB','EvS16PostSent', ...
'Ev14PreSent', 'Ev16PreSent'};%Variable names
Table = table(TFS14.label,MeanInducedPowerS14_PreSent,MeanInducedPowerS14_DuringSent,MeanInducedPowerS14_PostSent, ...
MeanInducedPowerS16_PreSent,MeanInducedPowerS16_DuringSent,MeanInducedPowerS16_PostSent,...
MeanEvokedPowerS14_PostMTB,MeanEvokedPowerS14_PostSent,...
MeanEvokedPowerS16_PostMTB,MeanEvokedPowerS16_PostSent, MeanEvokedPowerS14_PreSent, MeanEvokedPowerS16_PreSent);%put in a table
Table.Properties.VariableNames=VarNames;%assign the variable names
writetable(Table,[EDFDir(i).name(1:end-4) '_TimeFreqPower' '.txt'],'Delimiter',' '); %write
end
%% Writing the results (Update: 12/03/2021)
Table=[];
%VarNames={'SubjectID' ,'Group' ,'Condition' ,'Channel','PreSentIndPow','DurSentIndPow','PostSentIndPow','PostMTBEvkPow','PostSentEvkPow'};
CurrentName=EDFDir(i).name;
ULIndCurrent=strfind(CurrentName,'_');
GroupandID=CurrentName(ULIndCurrent(1)+1:ULIndCurrent(2)-1);
ChanNum=length(MeanInducedPowerS14_PreSent(:,i));
Table.SubjectID=cellstr(repmat(GroupandID(3:4),[ChanNum*2,1]));
Table.Group=cellstr(repmat(GroupandID(1:2),[ChanNum*2,1]));
ChanLab=OurLayout.label';
Table.Channel=repmat(ChanLab,[2,1]);
Table.Condition=cell(ChanNum*2,1);
Table.Condition(1:ChanNum)=cellstr(repmat('S14',[ChanNum,1]));
Table.Condition(ChanNum+1:end)=cellstr(repmat('S16',[ChanNum,1]));
Table.PreSentIndPow=repmat(MeanInducedPowerS14_PreSent(:,i),[2,1]);
Table.PreSentIndPow(ChanNum+1:end)=MeanInducedPowerS16_PreSent(:,i);
Table.DurSentIndPow=repmat(MeanInducedPowerS14_DuringSent(:,i),[2,1]);
Table.DurSentIndPow(ChanNum+1:end)=MeanInducedPowerS16_DuringSent(:,i);
Table.PostSentIndPow=repmat(MeanInducedPowerS14_PostSent(:,i),[2,1]);
Table.PostSentIndPow(ChanNum+1:end)=MeanInducedPowerS16_PostSent(:,i);
Table.PostMTBEvkPow=repmat(MeanEvokedPowerS14_PostMTB(:,i),[2,1]);
Table.PostMTBEvkPow(ChanNum+1:end)=MeanEvokedPowerS16_PostMTB(:,i);
Table.PostSentEvkPow=repmat(MeanEvokedPowerS14_PostSent(:,i),[2,1]);
Table.PostSentEvkPow(ChanNum+1:end)=MeanEvokedPowerS16_PostSent(:,i);
%% Added these codes after paper revision (pre-sent...)
Table.PreSentEvkPow=repmat(MeanEvokedPowerS14_PreSent(:,i),[2,1]);
Table.PreSentEvkPow(ChanNum+1:end)=MeanEvokedPowerS16_PreSent(:,i);
end
CatTable=[CatTable;struct2table(Table)];
end
writetable(CatTable,['TimeFreqPower_Features.txt'],'Delimiter',' '); %write
writetable(CatTable,['TimeFreqPower_Features.xls']); %write
if 1
%% Grand-average time-frequaency represneation across trial, conditions, subjects, and electrodes
GrandAvgInducedTF=nanmean(MeanIndPowerTrialsChannCat,3);
GrandAvgEvokedTF=nanmean(MeanEvokedTrialsChannCat,3);
figure,surf(TFParam.toi,TFParam.foi,GrandAvgInducedTF);
caxis([min(min(GrandAvgInducedTF(:)),min(GrandAvgInducedTF(:))) max(max(GrandAvgInducedTF(:)),max(GrandAvgInducedTF(:)))])
shading interp;
xlabel('Time (sec)');ylabel('Frequency (Hz)');zlabel('Power spectrum');
view(0,-90)
h=colorbar;
colormap('jet');
ylabel(h, ['Induced Grand-average TF across trial, subjects, conditions and electrodes']);
title('Merged Conditions-Induced')
figure,surf(TFParam.toi,TFParam.foi,GrandAvgEvokedTF);
caxis([min(min(GrandAvgEvokedTF(:)),min(GrandAvgEvokedTF(:))) max(max(GrandAvgEvokedTF(:)),max(GrandAvgEvokedTF(:)))])
shading interp;
xlabel('Time (sec)');ylabel('Frequency (Hz)');zlabel('Power spectrum');
view(0,-90)
h=colorbar;
colormap('jet');
ylabel(h, ['Evoked Grand-average TF across trial, subjects, conditions and electrodes']);
title('Merged Conditions-Evoked')
%%%% Conditions
%S14
GrandAvgInducedTFS14=nanmean(MeanIndPowerTrialsChannS14,3);
GrandAvgEvokedTFS14=nanmean(MeanEvokedTrialsChannS14,3);
%S16
GrandAvgInducedTFS16=nanmean(MeanIndPowerTrialsChannS16,3);
GrandAvgEvokedTFS16=nanmean(MeanEvokedTrialsChannS16,3);
figure,surf(TFParam.toi,TFParam.foi,GrandAvgInducedTFS14);
caxis([min(min(GrandAvgInducedTF(:)),min(GrandAvgInducedTF(:))) max(max(GrandAvgInducedTF(:)),max(GrandAvgInducedTF(:)))])
shading interp;
xlabel('Time (sec)');ylabel('Frequency (Hz)');zlabel('Power spectrum');
view(0,-90)
h=colorbar;
colormap('jet');
ylabel(h, ['Induced S14 TF across trial, subjects and electrodes']);
title('-5 dB-Induced Power');
figure,surf(TFParam.toi,TFParam.foi,GrandAvgEvokedTFS14);
caxis([min(min(GrandAvgEvokedTF(:)),min(GrandAvgEvokedTF(:))) max(max(GrandAvgEvokedTF(:)),max(GrandAvgEvokedTF(:)))])
shading interp;
xlabel('Time (sec)');ylabel('Frequency (Hz)');zlabel('Power spectrum');
view(0,-90)
h=colorbar;
colormap('jet');
ylabel(h, ['Evoked S16 TF across trial, subjects and electrodes']);
title('-5 dB-Evoked Power');
figure,surf(TFParam.toi,TFParam.foi,GrandAvgInducedTFS16);
caxis([min(min(GrandAvgInducedTF(:)),min(GrandAvgInducedTF(:))) max(max(GrandAvgInducedTF(:)),max(GrandAvgInducedTF(:)))])
shading interp;
xlabel('Time (sec)');ylabel('Frequency (Hz)');zlabel('Power spectrum');
view(0,-90)
h=colorbar;
colormap('jet');
ylabel(h, ['Induced S16 TF across trial, subjects and electrodes']);
title('+5 dB-Induced Power');
figure,surf(TFParam.toi,TFParam.foi,GrandAvgEvokedTFS16);
caxis([min(min(GrandAvgEvokedTF(:)),min(GrandAvgEvokedTF(:))) max(max(GrandAvgEvokedTF(:)),max(GrandAvgEvokedTF(:)))])
shading interp;
xlabel('Time (sec)');ylabel('Frequency (Hz)');zlabel('Power spectrum');
view(0,-90)
h=colorbar;
colormap('jet');
ylabel(h, ['Evoked S16 TF across trial, subjects and electrodes']);
title('+5 dB-Evoked Power');
%% SelChan plot
if SelChanSwitch==1
GrandAvgInducedTFS14_Sel=nanmean(MeanIndPowerTrialsChannS14_Sel,3);
GrandAvgEvokedTFS14_Sel=nanmean(MeanEvokedTrialsChannS14_Sel,3);
%S16
GrandAvgInducedTFS16_Sel=nanmean(MeanIndPowerTrialsChannS16_Sel,3);
GrandAvgEvokedTFS16_Sel=nanmean(MeanEvokedTrialsChannS16_Sel,3);
figure,surf(TFParam.toi,TFParam.foi,GrandAvgInducedTFS14_Sel);
caxis([min(min(GrandAvgInducedTF(:)),min(GrandAvgInducedTF(:))) max(max(GrandAvgInducedTF(:)),max(GrandAvgInducedTF(:)))])
shading interp;
xlabel('Time (sec)');ylabel('Frequency (Hz)');zlabel('Power spectrum');
view(0,-90)
h=colorbar;
colormap('jet');
ylabel(h, ['Induced S14 TF across trial, subjects and electrodes']);
title('-5 dB-Induced PowerSelcted channels');
figure,surf(TFParam.toi,TFParam.foi,GrandAvgEvokedTFS14_Sel);
caxis([min(min(GrandAvgEvokedTF(:)),min(GrandAvgEvokedTF(:))) max(max(GrandAvgEvokedTF(:)),max(GrandAvgEvokedTF(:)))])
shading interp;
xlabel('Time (sec)');ylabel('Frequency (Hz)');zlabel('Power spectrum');
view(0,-90)
h=colorbar;
colormap('jet');
ylabel(h, ['Evoked S16 TF across trial, subjects and electrodes']);
title('-5 dB-Evoked PowerSelcted channels');
figure,surf(TFParam.toi,TFParam.foi,GrandAvgInducedTFS16_Sel);
caxis([min(min(GrandAvgInducedTF(:)),min(GrandAvgInducedTF(:))) max(max(GrandAvgInducedTF(:)),max(GrandAvgInducedTF(:)))])
shading interp;
xlabel('Time (sec)');ylabel('Frequency (Hz)');zlabel('Power spectrum');
view(0,-90)
h=colorbar;
colormap('jet');
ylabel(h, ['Induced S16 TF across trial, subjects and electrodes']);
title('+5 dB-Induced Power- Selcted channels');
figure,surf(TFParam.toi,TFParam.foi,GrandAvgEvokedTFS16_Sel);
caxis([min(min(GrandAvgEvokedTF(:)),min(GrandAvgEvokedTF(:))) max(max(GrandAvgEvokedTF(:)),max(GrandAvgEvokedTF(:)))])
shading interp;
xlabel('Time (sec)');ylabel('Frequency (Hz)');zlabel('Power spectrum');
view(0,-90)
h=colorbar;
colormap('jet');
ylabel(h, ['Evoked S16 TF across trial, subjects and electrodes']);
title('+5 dB-Evoked PowerSelcted channels');
end
%% Grand-average topographic maps across trial, conditions, subjects, desired frequency and time
GrandAvg_InducedPowerCat_PreSent=nanmean(MeanInducedPowerCat_PreSent,2);
GrandAvg_InducedPowerCat_DuringSent=nanmean(MeanInducedPowerCat_DuringSent,2);
GrandAvg_InducedPowerCat_PostSent=nanmean(MeanInducedPowerCat_PostSent,2);
GrandAvg_EvokedPowerCat_PostMTB=nanmean(MeanEvokedPowerCat_PostMTB,2);
GrandAvg_EvokedPowerCat_PostSent=nanmean(MeanEvokedPowerCat_PostSent,2);
%topoplot for gg-av
Type='GrandAvg Induced Power PreSent';
FnTopoPlotPower(GrandAvg_InducedPowerCat_PreSent,EEGChanLoc,-3,3,Type);
title(['Induced Power PreSent' '-[' num2str(TimeRange_PreSent_Ind(1)) '-'...
num2str(TimeRange_PreSent_Ind(2)) '] sec-[' num2str(8) '-' num2str(12) '] Hz']);
Type='GrandAvg Induced Power DuringSent';
FnTopoPlotPower(GrandAvg_InducedPowerCat_DuringSent,EEGChanLoc,-3,3,Type);
title(['Induced Power DuringSent' '-[' num2str(TimeRange_DuringSent_Ind(1)) '-'...
num2str(TimeRange_DuringSent_Ind(2)) '] sec-[' num2str(8) '-' num2str(12) '] Hz']);
Type='GrandAvg Induced Power PostSent';
FnTopoPlotPower(GrandAvg_InducedPowerCat_PostSent,EEGChanLoc,0,1,Type);
title(['Induced Power DuringSent' '-[' num2str(TimeRange_PostSent_Ind(1)) '-'...
num2str(TimeRange_PostSent_Ind(2)) '] sec-[' num2str(8) '-' num2str(12) '] Hz']);
%%Evoked
Type='GrandAvg Evoked Power PostMTB';
FnTopoPlotPower(GrandAvg_EvokedPowerCat_PostMTB,EEGChanLoc,0,.5,Type);
title(['Evoked Power PostMTB' '-[' num2str(TimeRange_PostMTB_Evk(1)) '-'...
num2str(TimeRange_PostMTB_Evk(2)) '] sec-[' num2str(2) '-' num2str(8) '] Hz']);
Type='GrandAvg Evoked Power PostSentence';
FnTopoPlotPower(GrandAvg_EvokedPowerCat_PostSent,EEGChanLoc,0,.5,Type);
title(['Evoked Power PostSentence' '-[' num2str(TimeRange_PostSent_Evk(1)) '-'...
num2str(TimeRange_PostSent_Evk(2)) '] sec-[' num2str(2) '-' num2str(8) '] Hz']);
%%%Conditions
%% S14
%%%%% Induced Power
GrandAvg_InducedPowerS14_PreSent=nanmean(MeanInducedPowerS14_PreSent,2);
GrandAvg_InducedPowerS14_DuringSent=nanmean(MeanInducedPowerS14_DuringSent,2);
GrandAvg_InducedPowerS14_PostSent=nanmean(MeanInducedPowerS14_PostSent,2);
%%%%%Evoked Power
GrandAvg_EvokedPowerS14_PostMTB=nanmean(MeanEvokedPowerS14_PostMTB,2);
GrandAvg_EvokedPowerS14_PostSent=nanmean(MeanEvokedPowerS14_PostSent,2);
%topoplot
Type='GrandAvg Induced Power PreSent';
FnTopoPlotPower(GrandAvg_InducedPowerS14_PreSent,EEGChanLoc,0,2,Type);
title(['-5dB-Induced Power PreSent' '-[' num2str(TimeRange_PreSent_Ind(1)) '-'...
num2str(TimeRange_PreSent_Ind(2)) '] sec-[' num2str(8) '-' num2str(12) '] Hz']);
Type='GrandAvg Induced Power DuringSent';
FnTopoPlotPower(GrandAvg_InducedPowerS14_DuringSent,EEGChanLoc,-3,3,Type);
title(['-5dB-Induced Power DuringSent' '-[' num2str(TimeRange_DuringSent_Ind(1)) '-'...
num2str(TimeRange_DuringSent_Ind(2)) '] sec-[' num2str(8) '-' num2str(12) '] Hz']);
Type='GrandAvg Induced Power PostSent';
FnTopoPlotPower(GrandAvg_InducedPowerS14_PostSent,EEGChanLoc,0,1,Type);
title(['-5dB-Induced Power DuringSent' '-[' num2str(TimeRange_PostSent_Ind(1)) '-'...
num2str(TimeRange_PostSent_Ind(2)) '] sec-[' num2str(8) '-' num2str(12) '] Hz']);
%%Evoked
Type='GrandAvg Evoked Power PostMTB';
FnTopoPlotPower(GrandAvg_EvokedPowerS14_PostMTB,EEGChanLoc,0,.5,Type);
title(['-5dB-Evoked Power PostMTB' '-[' num2str(TimeRange_PostMTB_Evk(1)) '-'...
num2str(TimeRange_PostMTB_Evk(2)) '] sec-[' num2str(2) '-' num2str(8) '] Hz']);
Type='GrandAvg Evoked Power PostSentence';
FnTopoPlotPower(GrandAvg_EvokedPowerS14_PostSent,EEGChanLoc,0,.5,Type);
title(['-5dB-Evoked Power PostSentence' '-[' num2str(TimeRange_PostSent_Evk(1)) '-'...
num2str(TimeRange_PostSent_Evk(2)) '] sec-[' num2str(2) '-' num2str(8) '] Hz']);
%% S16
%%%%% Induced Power
GrandAvg_InducedPowerS16_PreSent=nanmean(MeanInducedPowerS16_PreSent,2);
GrandAvg_InducedPowerS16_DuringSent=nanmean(MeanInducedPowerS16_DuringSent,2);
GrandAvg_InducedPowerS16_PostSent=nanmean(MeanInducedPowerS16_PostSent,2);
%%%%% Evoked Power
GrandAvg_EvokedPowerS16_PostMTB=nanmean(MeanEvokedPowerS16_PostMTB,2);
GrandAvg_EvokedPowerS16_PostSent=nanmean(MeanEvokedPowerS16_PostSent,2);
%topoplot
Type='GrandAvg Induced Power PreSent';
FnTopoPlotPower(GrandAvg_InducedPowerS16_PreSent,EEGChanLoc,0,2,Type);
title(['+5dB-Induced Power PreSent' '-[' num2str(TimeRange_PreSent_Ind(1)) '-'...
num2str(TimeRange_PreSent_Ind(2)) '] sec-[' num2str(8) '-' num2str(12) '] Hz']);
Type='GrandAvg Induced Power DuringSent';
FnTopoPlotPower(GrandAvg_InducedPowerS16_DuringSent,EEGChanLoc,0,2,Type);
title(['+5dB-Induced Power DuringSent' '-[' num2str(TimeRange_DuringSent_Ind(1)) '-'...
num2str(TimeRange_DuringSent_Ind(2)) '] sec-[' num2str(8) '-' num2str(12) '] Hz']);
Type='GrandAvg Induced Power PostSent';
FnTopoPlotPower(GrandAvg_InducedPowerS16_PostSent,EEGChanLoc,0,2,Type);
title(['+5dB-Induced Power DuringSent' '-[' num2str(TimeRange_PostSent_Ind(1)) '-'...
num2str(TimeRange_PostSent_Ind(2)) '] sec-[' num2str(8) '-' num2str(12) '] Hz']);
%%Evoked
Type='GrandAvg Evoked Power PostMTB';
FnTopoPlotPower(GrandAvg_EvokedPowerS16_PostMTB,EEGChanLoc,0,.5,Type);
title(['+5dB-Evoked Power PostMTB' '-[' num2str(TimeRange_PostMTB_Evk(1)) '-'...
num2str(TimeRange_PostMTB_Evk(2)) '] sec-[' num2str(2) '-' num2str(8) '] Hz']);
Type='GrandAvg Evoked Power PostSentence';
FnTopoPlotPower(GrandAvg_EvokedPowerS16_PostSent,EEGChanLoc,0,.5,Type);
title(['+5dB-Evoked Power PostSentence' '-[' num2str(TimeRange_PostSent_Evk(1)) '-'...
num2str(TimeRange_PostSent_Evk(2)) '] sec-[' num2str(2) '-' num2str(8) '] Hz']);
if 0
%% plotting overall results
XVals=[1:size(AllPreStimAlphaPower,1)];
figure,bar(XVals,AllPreStimAlphaPower)
xlabel('Subject No.');
xticks([1 2 3]);
xticklabels({'HC1', 'HC2', 'PD1'});
ylabel('Pre-sentence Alpha Induced Power at Fz');
legend({'-5 dB','+5 dB'},'location','Best');
figure,bar(XVals,AllPostMTBLFPLV(:,1))
bar(XVals,AllPostMTBLFPLV);
xlabel('Subject No.');
xticks([1 2 3]);
xticklabels({'HC1', 'HC2', 'PD1'});
ylabel('Post-MTB LF Evoked Power (PLV) over Centeral Channels');
legend({'-5 dB','+5 dB'});
end
end
%% output to txt --> excell
%% time windows : evoked [1 1.5] and [2 2.5]; indiced alpha [1.5 2] [2.5 4.5] [4.5 6]