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holo_eeg_conn_par.m
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holo_eeg_conn_par.m
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function [Dplv] = holo_eeg_conn_par(S)
% Compute instantaneous power and phase in peri-stimulus time and frequency
% FORMAT [Dtf, Dtph] = eemd_eeg_tf(S)
%
% S - input structure
% fields of S:
% S.D - MEEG object or filename of M/EEG mat-file with
%
% S.channels - cell array of channel names. Can include generic
% wildcards: 'All', 'EEG', 'MEG' etc.
%
% S.frequencies - vector of frequencies of interest
%
% S.timewin - time window of interest in PST in ms.
% S.phase - also save phase dataset (1) or not (0)
% Output:
% Dtf - M/EEG object with power (also written on disk)
% Dtph - M/EEG object with phase (also written on disk)
%__________________________________________________________________________
if nargin == 0
S = [];
end
if ~isfield(S, 'parallel')
S.parallel = 0;
end
if ~isfield(S, 'modu_type') || isempty(S.modu_type)
modu_type = 1;
else
modu_type=S.modu_type;
end
if ~isfield(S, 'conn_type') || isempty(S.conn_type)
conn_type = 1;
else
conn_type=S.conn_type;
end
if ~isfield(S, 'par_seed') || isempty(S.par_seed)
par_seed = 0;
else
par_seed=S.par_seed;
end
if ~isfield(S, 'seed')
seed_conn=0;
else
seed=S.seed;
seed=seed(seed>0); % support multi seeds
% if length(seed)>1
% seed=seed(1);
% end
if isempty(seed)
seed_conn=0;
else
seed_conn=1;
end
end
if ~isfield(S, 'CoreN')
S.CoreN = feature('numcores') - 1;
end
try
sender=S.sender;
receiver=S.receiver;
catch
disp('this version require you enter a single IMF as the sender, as well as the receiver!');
return
end
if length(sender)>1
sender =sender(1);
end
% From 20190118, it can be multiple receivers, e.g., receiver=[4,5,6].
% However, sender can be only one till now.
% if length(receiver)>1
% receiver =receiver(1);
% end
%--------------------------------------------------------------------------
try
Dfile = S.D;
catch
[Dfile, sts] = spm_select(1, 'mat', 'Select M/EEG mat file');
if ~sts, Dfile = []; return; end
S.D = Dfile;
end
D=spm_eeg_load(Dfile);
nd=length(size(D));
[pathstr, name, ext] = fileparts(Dfile); sep=filesep;
if seed_conn && par_seed
if nd==3
try
parname=strrep(name,'src','par');
Dfile_fm=strcat(pathstr,sep,'timfm_',name,ext);
Dfile_fm2=strcat(pathstr,sep,'timfm2_',parname,ext); % second layer par file
Dfile_ph=strcat(pathstr,sep,'timph_',name,ext);
Dfile_ph2=strcat(pathstr,sep,'timph2_',parname,ext); % second layer par ph file
dname=D.fname;
catch
error('selected file is not a source file or does not have par file!');
end
elseif nd==4
dname=D.fname;
dname=dname(6:end);
try
parname=strrep(dname,'src','par');
Dfile_fm=strcat(pathstr,sep,'timfm_',dname);
Dfile_fm2=strcat(pathstr,sep,'timfm2_',parname); % second layer par file
Dfile_ph=strcat(pathstr,sep,'timph_',dname);
Dfile_ph2=strcat(pathstr,sep,'timph2_',parname); % second layer par ph file
catch
error('unknown filetype');
end
else
error('unknown filetype');
end
else
if nd==3
Dfile_fm=strcat(pathstr,sep,'timfm_',name,ext);
Dfile_fm2=strcat(pathstr,sep,'timfm2_',name,ext);
Dfile_ph=strcat(pathstr,sep,'timph_',name,ext);
Dfile_ph2=strcat(pathstr,sep,'timph2_',name,ext);
dname=D.fname;
elseif nd==4
dname=D.fname;
dname=dname(6:end);
Dfile_fm=strcat(pathstr,sep,'timfm_',dname);
Dfile_fm2=strcat(pathstr,sep,'timfm2_',dname);
Dfile_ph=strcat(pathstr,sep,'timph_',dname);
Dfile_ph2=strcat(pathstr,sep,'timph2_',dname);
else
error('unknown filetype');
end
end
%D=spm_eeg_load(Dfile);
try
D_fm=spm_eeg_load(Dfile_fm);
D_fm2=spm_eeg_load(Dfile_fm2);
D_ph=spm_eeg_load(Dfile_ph);
D_ph2=spm_eeg_load(Dfile_ph2);
catch
disp('2 layer EEMD files missing');
return;
end
try
if D_fm2.sdownLV>0
sdownLV=round(sdownLV);
else
sdownLV=0;
end
catch
sdownLV=0;
end
% if S.dyadic==1
% dyadic=1;
% else
% dyadic=0;
% end
%-Configure the analysis
%--------------------------------------------------------------------------
timesol=S.settings.timesol;
half_winsize=S.settings.half_winsize;
winsize=2*half_winsize+1;
winlen=1000*(winsize-1)/D_fm2.fsample;
if ~isfield(S, 'srcImfs')
S.srcsImfs=0;
end
if ~isfield(S, 'channels')
S.channels = 'All';
end
chanind = D.selectchannels(S.channels);
if isempty(chanind)
error('No channels selected.');
end
% S.frequencies = fscale;
% use second layer fm to confine the time window of the HHS
if ~isfield(S, 'timewin')
S.timewin = 1e3*[D_fm2.time(1) D_fm2.time(end)];
end
if isinf(S.timewin(1))||(S.timewin(1)<1e3*D_fm2.time(1))
S.timewin(1) = 1e3*D_fm2.time(1);
end
if isinf(S.timewin(2))||(S.timewin(2)>1e3*D_fm2.time(end))
S.timewin(2) = 1e3*D_fm2.time(end);
end
timeind = D_fm2.indsample(1e-3*min(S.timewin)):D_fm2.indsample(1e-3*max(S.timewin));
if sdownLV>0
tind_all=1:sdownLV:nsamples(D_fm);
timeindf=tind_all(timeind);
else
timeindf=timeind;
end
Nchannels = length(chanind);
if seed_conn
Nconn=Nchannels;
else
Nconn=Nchannels^2;
end
%%%For holo conn
if ~seed_conn
for irv=1:length(receiver)
hi1=int2str(sender); hi2=int2str(receiver(irv));
switch conn_type
case 1
switch modu_type
case 1
Dplv = clone(D, ['tconnplv_',hi1,hi2, 't',int2str(min(S.timewin)),'_',int2str(max(S.timewin)),'_FM_','L',num2str(winlen),'_', dname], [Nconn 1 timesol D.ntrials]);
case 2
Dplv = clone(D, ['tconnplv_',hi1,hi2, 't',int2str(min(S.timewin)),'_',int2str(max(S.timewin)),'_HM_','L',num2str(winlen),'_', dname], [Nconn 1 timesol D.ntrials]);
end
Dplv = transformtype(Dplv, 'TF'); % ISPC-time values are no longer "phase angle"
case 2
switch modu_type
case 1
Dplv = clone(D, ['tconnplph_',hi1,hi2, 't',int2str(min(S.timewin)),'_',int2str(max(S.timewin)),'_FM_','L',num2str(winlen),'_', dname], [Nconn 1 timesol D.ntrials]);
case 2
Dplv = clone(D, ['tconnplph_',hi1,hi2, 't',int2str(min(S.timewin)),'_',int2str(max(S.timewin)),'_HM_','L',num2str(winlen),'_', dname], [Nconn 1 timesol D.ntrials]);
end
Dplv = transformtype(Dplv, 'TFphase'); % ISPC-trial values before average are "phase angle"
end
Dplv = Dplv.frequencies(:, sender);
Dplv = timeonset(Dplv, 1e-3*min(S.timewin));
Dplv = fsample(Dplv, timesol/(1e-3*max(S.timewin)-1e-3*min(S.timewin)));
conn_idid=zeros(Nconn,2);
conn_labels=cell(1,Nconn);
for i=1:Nchannels
for j=1:Nchannels
conn_idid((i-1)*Nchannels+j,:)=[i,j];
conn_labels{1,(i-1)*Nchannels+j}=strcat('conn','_',int2str(i),'_',int2str(j));
end
end
Dplv = chanlabels(Dplv, 1:Nconn, conn_labels);
Dplv = chantype(Dplv, 1:Nconn, 'LFP');
Dplv.conn_idid=conn_idid;
% vec_nimf=D_fm2.nimf;
vec_nIMF=D_fm2.nIMF;
max_imf=D_fm2.maximf;
max_IMF=D_fm2.maxIMF;
%-Prepare parallel comp
if S.parallel
p=gcp('nocreate');
if ~isempty(p)
delete(p);
end
parpool(S.CoreN);
end
%-Run the analysis on all trials
%--------------------------------------------------------------------------
cl = D.condlist;
for i = 1:D.nconditions
w=indtrial(D,deblank(cl{i}));
%btrials=indtrial(D,deblank(cl{i}),'BAD');
if sender== receiver(irv) % this is actually the conventional case that connections are within the same frequency range
for k = w
%fm_trialdata=D_fm(:,sender,timeindf,k);
%fm_trialdata=permute(fm_trialdata,[3,1,2]);
%pfm_trialdata=mat2cell(fm_trialdata,size(fm_trialdata,1),ones(1,size(fm_trialdata,2)));
% fm2_trialdata=D_fm2(:,:,timeind,k);
% fm2_trialdata=reshape(fm2_trialdata,size(fm2_trialdata,1),max_IMF,max_imf,[]);
% fm2_trialdata=permute(fm2_trialdata,[4,2,1,3]);
% fm2_receiver_trialdata=fm2_trialdata(:,:,:,receiver(irv));
% pfm2_trialdata=mat2cell(fm2_receiver_trialdata,size(fm2_receiver_trialdata,1),size(fm2_receiver_trialdata,2),ones(1,size(fm2_receiver_trialdata,3)));
ph_trialdata=D_ph(:,sender,timeindf,k);
ph_trialdata=permute(ph_trialdata,[3,1,2]);
pph_trialdata=mat2cell(ph_trialdata,size(ph_trialdata,1),ones(1,size(ph_trialdata,2)));
% ph2_trialdata=D_ph2(:,:,timeind,k);
% ph2_trialdata=reshape(ph2_trialdata,size(ph2_trialdata,1),max_IMF,max_imf,[]);
% ph2_trialdata=permute(ph2_trialdata,[4,2,1,3]);
% ph2_receiver_trialdata=ph2_trialdata(:,:,:,receiver(irv));
% pph2_trialdata=mat2cell(ph2_receiver_trialdata,size(ph2_receiver_trialdata,1),size(ph2_receiver_trialdata,2),ones(1,size(ph2_receiver_trialdata,3)));
% pcurr_nIMF = vec_nIMF(k,:);
plv_trialdata=zeros(Nconn,1,timesol);
%plph_trialdata=zeros(Nconn,1,timesol);
if modu_type==2 && conn_type==1
parfor icon=1:Nconn
senrec=conn_idid(icon,:);
inich=senrec(1);
endch=senrec(2);
% curr_nIMF = pcurr_nIMF(endch);
[plv,~]=nspplotf3d_tres3_connLinear(2*pph_trialdata{inich}(:,1),2*pph_trialdata{endch}(:,1),timesol,half_winsize,S);
plv_trialdata(icon,1,:)=shiftdim(plv,-1);
%plph_trialdata(icon,1,:)=shiftdim(plph,-1);
end
elseif modu_type==1 && conn_type==1
parfor icon=1:Nconn
senrec=conn_idid(icon,:);
inich=senrec(1);
endch=senrec(2);
% curr_nIMF = pcurr_nIMF(endch);
[plv,~]=nspplotf3d_tres3_connLinear(pph_trialdata{inich}(:,1),pph_trialdata{endch}(:,1),timesol,half_winsize,S);
plv_trialdata(icon,1,:)=shiftdim(plv,-1);
%plph_trialdata(icon,1,:)=shiftdim(plph,-1);
end
elseif modu_type==2 && conn_type==2
parfor icon=1:Nconn
senrec=conn_idid(icon,:);
inich=senrec(1);
endch=senrec(2);
% curr_nIMF = pcurr_nIMF(endch);
[~,plph]=nspplotf3d_tres3_connLinear(2*pph_trialdata{inich}(:,1),2*pph_trialdata{endch}(:,1),timesol,half_winsize,S);
plv_trialdata(icon,1,:)=shiftdim(plph,-1);
%plph_trialdata(icon,1,:)=shiftdim(plph,-1);
end
elseif modu_type==1 && conn_type==2
parfor icon=1:Nconn
senrec=conn_idid(icon,:);
inich=senrec(1);
endch=senrec(2);
% curr_nIMF = pcurr_nIMF(endch);
[~,plph]=nspplotf3d_tres3_connLinear(pph_trialdata{inich}(:,1),pph_trialdata{endch}(:,1),timesol,half_winsize,S);
plv_trialdata(icon,1,:)=shiftdim(plph,-1);
%plph_trialdata(icon,1,:)=shiftdim(plph,-1);
end
end
Dplv(:,:,:,k)=plv_trialdata;
%Dplph(:,:,:,k)=plph_trialdata;
end % end k=w
else
for k = w
fm_trialdata=D_fm(:,sender,timeindf,k);
fm_trialdata=permute(fm_trialdata,[3,1,2]);
pfm_trialdata=mat2cell(fm_trialdata,size(fm_trialdata,1),ones(1,size(fm_trialdata,2)));
fm2_trialdata=D_fm2(:,:,timeind,k);
fm2_trialdata=reshape(fm2_trialdata,size(fm2_trialdata,1),max_IMF,max_imf,[]);
fm2_trialdata=permute(fm2_trialdata,[4,2,1,3]);
fm2_receiver_trialdata=fm2_trialdata(:,:,:,receiver(irv));
pfm2_trialdata=mat2cell(fm2_receiver_trialdata,size(fm2_receiver_trialdata,1),size(fm2_receiver_trialdata,2),ones(1,size(fm2_receiver_trialdata,3)));
ph_trialdata=D_ph(:,sender,timeindf,k);
ph_trialdata=permute(ph_trialdata,[3,1,2]);
pph_trialdata=mat2cell(ph_trialdata,size(ph_trialdata,1),ones(1,size(ph_trialdata,2)));
ph2_trialdata=D_ph2(:,:,timeind,k);
ph2_trialdata=reshape(ph2_trialdata,size(ph2_trialdata,1),max_IMF,max_imf,[]);
ph2_trialdata=permute(ph2_trialdata,[4,2,1,3]);
ph2_receiver_trialdata=ph2_trialdata(:,:,:,receiver(irv));
pph2_trialdata=mat2cell(ph2_receiver_trialdata,size(ph2_receiver_trialdata,1),size(ph2_receiver_trialdata,2),ones(1,size(ph2_receiver_trialdata,3)));
pcurr_nIMF = vec_nIMF(k,:);
plv_trialdata=zeros(Nconn,1,timesol);
%plph_trialdata=zeros(Nconn,1,timesol);
if modu_type==2 && conn_type==1
parfor icon=1:Nconn
senrec=conn_idid(icon,:);
inich=senrec(1);
endch=senrec(2);
curr_nIMF = pcurr_nIMF(endch);
[plv,~]=nspplotf3d_tres3_conn(2*pfm_trialdata{inich}(:,1),2*pph_trialdata{inich}(:,1),pfm2_trialdata{endch}(:,1:curr_nIMF),pph2_trialdata{endch}(:,1:curr_nIMF),timesol,half_winsize,S);
plv_trialdata(icon,1,:)=shiftdim(plv,-1);
%plph_trialdata(icon,1,:)=shiftdim(plph,-1);
end
elseif modu_type==1 && conn_type==1
parfor icon=1:Nconn
senrec=conn_idid(icon,:);
inich=senrec(1);
endch=senrec(2);
curr_nIMF = pcurr_nIMF(endch);
[plv,~]=nspplotf3d_tres3_conn(pfm_trialdata{inich}(:,1),pph_trialdata{inich}(:,1),pfm2_trialdata{endch}(:,1:curr_nIMF),pph2_trialdata{endch}(:,1:curr_nIMF),timesol,half_winsize,S);
plv_trialdata(icon,1,:)=shiftdim(plv,-1);
%plph_trialdata(icon,1,:)=shiftdim(plph,-1);
end
elseif modu_type==2 && conn_type==2
parfor icon=1:Nconn
senrec=conn_idid(icon,:);
inich=senrec(1);
endch=senrec(2);
curr_nIMF = pcurr_nIMF(endch);
[~,plph]=nspplotf3d_tres3_conn(2*pfm_trialdata{inich}(:,1),2*pph_trialdata{inich}(:,1),pfm2_trialdata{endch}(:,1:curr_nIMF),pph2_trialdata{endch}(:,1:curr_nIMF),timesol,half_winsize,S);
plv_trialdata(icon,1,:)=shiftdim(plph,-1);
%plph_trialdata(icon,1,:)=shiftdim(plph,-1);
end
elseif modu_type==1 && conn_type==2
parfor icon=1:Nconn
senrec=conn_idid(icon,:);
inich=senrec(1);
endch=senrec(2);
curr_nIMF = pcurr_nIMF(endch);
[~,plph]=nspplotf3d_tres3_conn(pfm_trialdata{inich}(:,1),pph_trialdata{inich}(:,1),pfm2_trialdata{endch}(:,1:curr_nIMF),pph2_trialdata{endch}(:,1:curr_nIMF),timesol,half_winsize,S);
plv_trialdata(icon,1,:)=shiftdim(plph,-1);
%plph_trialdata(icon,1,:)=shiftdim(plph,-1);
end
end
Dplv(:,:,:,k)=plv_trialdata;
%Dplph(:,:,:,k)=plph_trialdata;
end % end k=w
end
end
%-Save new M/EEG dataset(s)
Dplv = Dplv.history(mfilename, S);
save(Dplv);
%save(Dplph);
end % for multiple receivers
else % for seed_conn
for s=1:length(seed)
for irv=1:length(receiver)
hi1=int2str(sender); hi2=int2str(receiver(irv));
switch conn_type
case 1
switch modu_type
case 1
Dplv = clone(D, ['tconnplv_',hi1,hi2,'seed',int2str(seed(s)),'_', 't',int2str(min(S.timewin)),'_',int2str(max(S.timewin)),'_FM_','L',num2str(winlen),'_', dname], [Nconn 1 timesol D.ntrials]);
case 2
Dplv = clone(D, ['tconnplv_',hi1,hi2,'seed',int2str(seed(s)),'_', 't',int2str(min(S.timewin)),'_',int2str(max(S.timewin)),'_HM_','L',num2str(winlen),'_', dname], [Nconn 1 timesol D.ntrials]);
end
Dplv = transformtype(Dplv, 'TF'); % ISPC-time values are no longer "phase angle"
case 2
switch modu_type
case 1
Dplv = clone(D, ['tconnplph_',hi1,hi2,'seed',int2str(seed(s)),'_', 't',int2str(min(S.timewin)),'_',int2str(max(S.timewin)),'_FM_','L',num2str(winlen),'_', dname], [Nconn 1 timesol D.ntrials]);
case 2
Dplv = clone(D, ['tconnplph_',hi1,hi2,'seed',int2str(seed(s)),'_', 't',int2str(min(S.timewin)),'_',int2str(max(S.timewin)),'_HM_','L',num2str(winlen),'_', dname], [Nconn 1 timesol D.ntrials]);
end
Dplv = transformtype(Dplv, 'TFphase'); % ISPC-trial values before average are "phase angle"
end
Dplv = Dplv.frequencies(:, sender);
Dplv = timeonset(Dplv, 1e-3*min(S.timewin));
Dplv = fsample(Dplv, timesol/(1e-3*max(S.timewin)-1e-3*min(S.timewin)));
Dplv = chanlabels(Dplv, 1:Nconn, D.chanlabels(chanind));
Dplv = chantype(Dplv, 1:Nconn, D.chantype(chanind));
Dplv.seed=seed(s);
% vec_nimf=D_fm2.nimf;
vec_nIMF=D_fm2.nIMF;
max_imf=D_fm2.maximf;
max_IMF=D_fm2.maxIMF;
%-Prepare parallel comp
if S.parallel
p=gcp('nocreate');
if ~isempty(p)
delete(p);
end
parpool(S.CoreN);
end
%-Run the analysis on all trials
%--------------------------------------------------------------------------
cl = D.condlist;
for i = 1:D.nconditions
w=indtrial(D,deblank(cl{i}));
%btrials=indtrial(D,deblank(cl{i}),'BAD');
if sender== receiver(irv)
for k = w
% fm_trialdata=D_fm(:,sender,timeindf,k);
% fm_trialdata=permute(fm_trialdata,[3,1,2]);
% pfm_trialdata=mat2cell(fm_trialdata,size(fm_trialdata,1),ones(1,size(fm_trialdata,2)));
% fm2_trialdata=D_fm2(seed(s),:,timeind,k);
% fm2_trialdata=reshape(fm2_trialdata,size(fm2_trialdata,1),max_IMF,max_imf,[]);
% fm2_trialdata=permute(fm2_trialdata,[4,2,1,3]);
% fm2_receiver_trialdata=fm2_trialdata(:,:,:,receiver(irv));
% pfm2_trialdata=mat2cell(fm2_receiver_trialdata,size(fm2_receiver_trialdata,1),size(fm2_receiver_trialdata,2));
ph_trialdata=D_ph(:,sender,timeindf,k);
ph_trialdata=permute(ph_trialdata,[3,1,2]);
pph_trialdata=mat2cell(ph_trialdata,size(ph_trialdata,1),ones(1,size(ph_trialdata,2)));
% ph2_trialdata=D_ph2(seed(s),:,timeind,k);
% ph2_trialdata=reshape(ph2_trialdata,size(ph2_trialdata,1),max_IMF,max_imf,[]);
% ph2_trialdata=permute(ph2_trialdata,[4,2,1,3]);
% ph2_receiver_trialdata=ph2_trialdata(:,:,:,receiver(irv));
% pph2_trialdata=mat2cell(ph2_receiver_trialdata,size(ph2_receiver_trialdata,1),size(ph2_receiver_trialdata,2));
% pcurr_nIMF = vec_nIMF(k,:);
% curr_nIMF = pcurr_nIMF(seed(s));
% seedfm2_trialdata=pfm2_trialdata{1}(:,1:curr_nIMF);
% seedph2_trialdata=pph2_trialdata{1}(:,1:curr_nIMF);
plv_trialdata=zeros(Nchannels,1,timesol);
%plph_trialdata=zeros(Nchannels,1,timesol);
curr_seed=seed(s);
if modu_type==2 && conn_type==1
parfor icon=1:Nchannels
%[inich,endch]=conn_idid(icon,:);
%endch=seed;
%inich=icon;
%curr_nIMF = pcurr_nIMF(seed);
%[plv,~]=nspplotf3d_tres3_conn(2*pfm_trialdata{icon}(:,1),2*pph_trialdata{icon}(:,1),seedfm2_trialdata,seedph2_trialdata,timesol,half_winsize,S);
[plv,~]=nspplotf3d_tres3_connLinear(2*pph_trialdata{icon}(:,1),2*pph_trialdata{curr_seed}(:,1),timesol,half_winsize,S);
plv_trialdata(icon,1,:)=shiftdim(plv,-1);
%plph_trialdata(icon,1,:)=shiftdim(plph,-1);
end
elseif modu_type==1 && conn_type==1
parfor icon=1:Nchannels
%[inich,endch]=conn_idid(icon,:);
%endch=seed;
%inich=icon;
%curr_nIMF = pcurr_nIMF(seed);
%[plv,~]=nspplotf3d_tres3_conn(pfm_trialdata{icon}(:,1),pph_trialdata{icon}(:,1),seedfm2_trialdata,seedph2_trialdata,timesol,half_winsize,S);
[plv,~]=nspplotf3d_tres3_connLinear(pph_trialdata{icon}(:,1),pph_trialdata{curr_seed}(:,1),timesol,half_winsize,S);
plv_trialdata(icon,1,:)=shiftdim(plv,-1);
%plph_trialdata(icon,1,:)=shiftdim(plph,-1);
end
elseif modu_type==2 && conn_type==2
parfor icon=1:Nchannels
%[inich,endch]=conn_idid(icon,:);
%endch=seed;
%inich=icon;
%curr_nIMF = pcurr_nIMF(seed);
%[~,plph]=nspplotf3d_tres3_conn(2*pfm_trialdata{icon}(:,1),2*pph_trialdata{icon}(:,1),seedfm2_trialdata,seedph2_trialdata,timesol,half_winsize,S);
[~,plph]=nspplotf3d_tres3_connLinear(2*pph_trialdata{icon}(:,1),2*pph_trialdata{curr_seed}(:,1),timesol,half_winsize,S);
plv_trialdata(icon,1,:)=shiftdim(plph,-1);
%plph_trialdata(icon,1,:)=shiftdim(plph,-1);
end
elseif modu_type==1 && conn_type==2
parfor icon=1:Nchannels
%[inich,endch]=conn_idid(icon,:);
%endch=seed;
%inich=icon;
%curr_nIMF = pcurr_nIMF(seed);
%[~,plph]=nspplotf3d_tres3_conn(pfm_trialdata{icon}(:,1),pph_trialdata{icon}(:,1),seedfm2_trialdata,seedph2_trialdata,timesol,half_winsize,S);
[~,plph]=nspplotf3d_tres3_connLinear(pph_trialdata{icon}(:,1),pph_trialdata{curr_seed}(:,1),timesol,half_winsize,S);
plv_trialdata(icon,1,:)=shiftdim(plph,-1);
%plph_trialdata(icon,1,:)=shiftdim(plph,-1);
end
end
Dplv(:,:,:,k)=plv_trialdata;
%Dplph(:,:,:,k)=plph_trialdata;
end % end k=w
else
for k = w
fm_trialdata=D_fm(:,sender,timeindf,k);
fm_trialdata=permute(fm_trialdata,[3,1,2]);
pfm_trialdata=mat2cell(fm_trialdata,size(fm_trialdata,1),ones(1,size(fm_trialdata,2)));
fm2_trialdata=D_fm2(seed(s),:,timeind,k);
fm2_trialdata=reshape(fm2_trialdata,size(fm2_trialdata,1),max_IMF,max_imf,[]);
fm2_trialdata=permute(fm2_trialdata,[4,2,1,3]);
fm2_receiver_trialdata=fm2_trialdata(:,:,:,receiver(irv));
pfm2_trialdata=mat2cell(fm2_receiver_trialdata,size(fm2_receiver_trialdata,1),size(fm2_receiver_trialdata,2));
ph_trialdata=D_ph(:,sender,timeindf,k);
ph_trialdata=permute(ph_trialdata,[3,1,2]);
pph_trialdata=mat2cell(ph_trialdata,size(ph_trialdata,1),ones(1,size(ph_trialdata,2)));
ph2_trialdata=D_ph2(seed(s),:,timeind,k);
ph2_trialdata=reshape(ph2_trialdata,size(ph2_trialdata,1),max_IMF,max_imf,[]);
ph2_trialdata=permute(ph2_trialdata,[4,2,1,3]);
ph2_receiver_trialdata=ph2_trialdata(:,:,:,receiver(irv));
pph2_trialdata=mat2cell(ph2_receiver_trialdata,size(ph2_receiver_trialdata,1),size(ph2_receiver_trialdata,2));
pcurr_nIMF = vec_nIMF(k,:);
curr_nIMF = pcurr_nIMF(seed(s));
seedfm2_trialdata=pfm2_trialdata{1}(:,1:curr_nIMF);
seedph2_trialdata=pph2_trialdata{1}(:,1:curr_nIMF);
plv_trialdata=zeros(Nchannels,1,timesol);
%plph_trialdata=zeros(Nchannels,1,timesol);
if modu_type==2 && conn_type==1
parfor icon=1:Nchannels
%[inich,endch]=conn_idid(icon,:);
%endch=seed;
%inich=icon;
%curr_nIMF = pcurr_nIMF(seed);
[plv,~]=nspplotf3d_tres3_conn(2*pfm_trialdata{icon}(:,1),2*pph_trialdata{icon}(:,1),seedfm2_trialdata,seedph2_trialdata,timesol,half_winsize,S);
plv_trialdata(icon,1,:)=shiftdim(plv,-1);
%plph_trialdata(icon,1,:)=shiftdim(plph,-1);
end
elseif modu_type==1 && conn_type==1
parfor icon=1:Nchannels
%[inich,endch]=conn_idid(icon,:);
%endch=seed;
%inich=icon;
%curr_nIMF = pcurr_nIMF(seed);
[plv,~]=nspplotf3d_tres3_conn(pfm_trialdata{icon}(:,1),pph_trialdata{icon}(:,1),seedfm2_trialdata,seedph2_trialdata,timesol,half_winsize,S);
plv_trialdata(icon,1,:)=shiftdim(plv,-1);
%plph_trialdata(icon,1,:)=shiftdim(plph,-1);
end
elseif modu_type==2 && conn_type==2
parfor icon=1:Nchannels
%[inich,endch]=conn_idid(icon,:);
%endch=seed;
%inich=icon;
%curr_nIMF = pcurr_nIMF(seed);
[~,plph]=nspplotf3d_tres3_conn(2*pfm_trialdata{icon}(:,1),2*pph_trialdata{icon}(:,1),seedfm2_trialdata,seedph2_trialdata,timesol,half_winsize,S);
plv_trialdata(icon,1,:)=shiftdim(plph,-1);
%plph_trialdata(icon,1,:)=shiftdim(plph,-1);
end
elseif modu_type==1 && conn_type==2
parfor icon=1:Nchannels
%[inich,endch]=conn_idid(icon,:);
%endch=seed;
%inich=icon;
%curr_nIMF = pcurr_nIMF(seed);
[~,plph]=nspplotf3d_tres3_conn(pfm_trialdata{icon}(:,1),pph_trialdata{icon}(:,1),seedfm2_trialdata,seedph2_trialdata,timesol,half_winsize,S);
plv_trialdata(icon,1,:)=shiftdim(plph,-1);
%plph_trialdata(icon,1,:)=shiftdim(plph,-1);
end
end
Dplv(:,:,:,k)=plv_trialdata;
%Dplph(:,:,:,k)=plph_trialdata;
end % end k=w
end
end
%-Save new M/EEG dataset(s)
Dplv = Dplv.history(mfilename, S);
save(Dplv);
%save(Dplph);
end % for multiple receivers
end % for multi seeds
end