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gui_spindle_hfos_control.m
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gui_spindle_hfos_control.m
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%gui_threshold_ripples
%% Find location
close all
dname=uigetdir([],'Select folder with Matlab data containing all rats.');
cd(dname)
%%
%Select rat number
opts.Resize = 'on';
opts.WindowStyle = 'modal';
opts.Interpreter = 'tex';
prompt=strcat('\bf Select a rat#. Options:','{ }',num2str(rats));
answer = inputdlg(prompt,'Input',[2 30],{''},opts);
Rat=str2num(answer{1});
cd(num2str(Rat))
%%
% Ask for brain area.
% xx = inputdlg({'Cortical Brain area'},...
% 'Type your selection', [1 30],{'PAR'});
%xx={'PAR'};
%Brain region combinations.
list = {'HPC & PFC','HPC & PAR','PAR & PFC','PFC & PAR'};
[optionlist] = listdlg('PromptString',{'Select brain areas.'},'SelectionMode','single','ListString',list,'InitialValue',3);
switch optionlist
case 1
yy={'HPC'};
xx={'PFC'};
case 2
yy={'HPC'};
xx={'PAR'};
case 3
yy={'PAR'};
xx={'PFC'};
case 4
yy={'PFC'};
xx={'PAR'};
end
fn=1000;
%%
gg=getfolder;
gg=gg.';
if size(label1,1)~=3 % IF not Plusmaze
gg(ismember(gg,'OR_N'))=[];
gg(ismember(gg,'OD_N(incomplete)'))=[];
gg=sort(gg); %Sort alphabetically.
labelconditions2=gg;
gg(ismember(gg,'CN'))={'CON'};
end
labelconditions=gg;
%% Select experiment to perform.
inter=1;
%Select length of window in seconds:
ro=[1200];
coher=0;
selectripples=1;
notch=0; %Might need to be 1.
nrem=3;
level=1;
multiplets=[{'singlets'} {'doublets'} {'triplets'} {'quatruplets'} {'pentuplets'} {'sextuplets'} {'septuplets'} {'octuplets'} {'nonuplets'}];
%%
iii=1;
%for iii=1:length(labelconditions)
if size(label1,1)~=3 % IF not Plusmaze
cd( labelconditions2{iii})
g=getfolder;
if iii==1
answer = questdlg('Should we use all trials?', ...
'Trial selection', ...
'Use all','Select trials','Select trials');
% Handle response
switch answer
case 'Use all'
disp(['Using all.'])
an=[];
case 'Select trials'
prompt = {['Enter trials name common word without index:' sprintf('\n') '(Use commas for multiple names)']};
dlgtitle = 'Input';
dims = [1 35];
%definput = {'20','hsv'};
an = inputdlg(prompt,dlgtitle,dims);
%an=char(an);
% g=g(contains(g,{'PT'}));
end
end
if ~isempty(an)
g=g(contains(g,strsplit(an{1},',')));
end
else
g=gg;
end
%% Colormap
% n=length(g);
myColorMap=jet(length(g));
%%
%Center figure.
f=figure();
movegui(gcf,'center');
%Checkboxes
Boxcheck = cell(1,4);
for h1=1:length(labelconditions)
boxcheck = uicontrol(f,'Style','checkbox','String',labelconditions{h1},'Position',[10 f.Position(4)-30*h1 400 20]);
boxcheck.FontSize=11;
boxcheck.Value=1;
Boxcheck{h1}=boxcheck;
end
set(f, 'NumberTitle', 'off', ...
'Name', 'Select conditions');
%Push button
c = uicontrol;
c.String = 'Continue';
c.FontSize=10;
c.Position=[f.Position(1)/3.5 c.Position(2)-10 f.Position(3)/2 c.Position(4)];
%Callback
c.Callback='uiresume(gcbf)';
uiwait(gcf);
boxch=cellfun(@(x) get(x,'Value'),Boxcheck);
clear Boxcheck
% labelconditions=labelconditions(find(boxch~=0));
% labelconditions2=labelconditions2(find(boxch~=0));
% xo
close(f);
g={g{logical(boxch)}};
%xo
if sum(cell2mat(cellfun(@(equis1) contains(equis1,'nl'),g,'UniformOutput',false)))==1
% if find(cell2mat(cellfun(@(equis1) contains(equis1,'nl'),g,'UniformOutput',false))==1)~=1
% g=flip(g);
% end
g=g([find(cell2mat(cellfun(@(equis1) contains(equis1,labelconditions2{1}),g,'UniformOutput',false)))...
find(cell2mat(cellfun(@(equis1) contains(equis1,labelconditions2{2}),g,'UniformOutput',false)))...
find(cell2mat(cellfun(@(equis1) contains(equis1,labelconditions2{3}),g,'UniformOutput',false)))...
find(cell2mat(cellfun(@(equis1) contains(equis1,labelconditions2{4}),g,'UniformOutput',false)))]);
else
error('Name issue')
end
z= zeros(length(label1),length(rats));
[T]=gui_table_channels(z,rats,label1,'Threholds');
tr=getfield(T,strcat('Rat',num2str(Rat)));%Thresholds
%xo
%%
f=waitbar(0,'Please wait...');
for k=1:length(g)
cd(g{k})
%(level,nrem,notch,w,lepoch)
%xo
CORTEX=dir(strcat('*',xx{1},'*.mat'));
if isempty(CORTEX)
g=g(~contains(g,g{k}));
cd ..
progress_bar(k,length(g),f)
break
end
CORTEX=CORTEX.name;
CORTEX=load(CORTEX);
%CORTEX=CORTEX.CORTEX;
CORTEX=getfield(CORTEX,xx{1});
CORTEX=CORTEX.*(0.195);
A = dir('*states*.mat');
A={A.name};
if ~isempty(A)
cellfun(@load,A);
else
error('No Scoring found')
end
% xo
%Spindles
clear Ex_cortex Sx_cortex Mx_cortex
[ripple,~,~,Mx_cortex,timeasleep,sig_cortex,Ex_cortex,Sx_cortex,...
~,~,~,~,~, ...
]=gui_findspindlesYASA(CORTEX,states,xx,multiplets,fn);
si=sig_cortex(~cellfun('isempty',sig_cortex));
si=[si{:}];
% All_Par.( strrep(g{k},'-','_'))=si;
% [x,y,z,~,~,~,l,p]=hfo_specs_spindles(si,timeasleep,fn,0);
%PRE POST ANALYSIS
% [Sx_pre,Mx_pre,Ex_pre,Sx_post,Mx_post,Ex_post]=cellfun(@(equis1,equis2,equis3) pre_post_spindle(equis1,equis2,equis3) ,Sx_cortex,Mx_cortex,Ex_cortex ,'UniformOutput',false);
%%
%Convert signal to 1 sec epochs.
e_t=1;
e_samples=e_t*(fn); %fs=1kHz
ch=length(CORTEX);
nc=floor(ch/e_samples); %Number of epochsw
NC=[];
for kk=1:nc
NC(:,kk)= CORTEX(1+e_samples*(kk-1):e_samples*kk);
end
vec_bin=states;
vec_bin(vec_bin~=3)=0;
vec_bin(vec_bin==3)=1;
%Cluster one values:
v2=ConsecutiveOnes(vec_bin);
v_index=find(v2~=0);
v_values=v2(v2~=0);
clear v
for epoch_count=1:length(v_index)
v{epoch_count,1}=reshape(NC(:, v_index(epoch_count):v_index(epoch_count)+(v_values(1,epoch_count)-1)), [], 1);
end
ti=cellfun(@(equis) reshape(linspace(0, length(equis)-1,length(equis))*(1/fn),[],1) ,v,'UniformOutput',false);
%%
% vec_nan=cellfun(@(equis1) (isempty(equis1)), Mx_cortex);
clear dur_cortex
for dd=1:length(Mx_cortex)
dur_cortex{dd}=Ex_cortex{dd}-Sx_cortex{dd};
if isempty(Sx_cortex{dd})
Sx_cortex{dd}=nan;
end
end
dur_cortex=dur_cortex.';
clear Sr_cortex Er_cortex
rng('default')
parfor r=1:1000
ti_rand=cellfun(@(equis) equis(randperm(size(equis, 1))),ti,'UniformOutput',false);
Sr_cortex{r}=cellfun(@(equis1,equis2,equis3) equis3(findclosest(equis1,equis2)).', ti,Sx_cortex,ti_rand,'UniformOutput',false );
Er_cortex{r}=cellfun(@(equis1,equis2,equis3,equis4) equis3(findclosest(equis1,equis2)).'+equis4, ti,Sx_cortex,ti_rand,dur_cortex,'UniformOutput',false );
% Sr_cortex.(['Field_' num2str(r)])=res1;
% Er_cortex.(['Field_' num2str(r)])=res2;
% r
end
%Change Nans to []
for dd=1:length(Mx_cortex)
if isnan(Sx_cortex{dd})
Sx_cortex{dd}=[];
end
end
%xo
%% Cortical Ripples
CORTEX=dir(strcat('*','PAR','*.mat'));
if isempty(CORTEX)
g=g(~contains(g,g{k}));
cd ..
progress_bar(k,length(g),f)
break
end
CORTEX=CORTEX.name;
CORTEX=load(CORTEX);
%CORTEX=CORTEX.CORTEX;
CORTEX=getfield(CORTEX,'PAR');
CORTEX=CORTEX.*(0.195);
A = dir('*states*.mat');
A={A.name};
if ~isempty(A)
cellfun(@load,A);
else
error('No Scoring found')
end
%
[ripple_sphfo,~,~,Mx_cortex_sphfo,~,sig_cortex_sphfo,Ex_cortex_sphfo,Sx_cortex_sphfo,...
~,~,~,~,~, ...
]=gui_findripples(CORTEX,states,{'PAR'},tr,multiplets,fn);
si=sig_cortex_sphfo(~cellfun('isempty',sig_cortex_sphfo));
si=[si{:}];
[~,~,~,~,~,~,~,~,si_mixed,~]=hfo_specs(si,timeasleep,0,Rat,tr);
%% Mixed distribution (Average freq) coHFOs
Mx_cortex_g1=Mx_cortex_sphfo;
Mx_cortex_g2=Mx_cortex_sphfo;
Ex_cortex_g1=Ex_cortex_sphfo;
Ex_cortex_g2=Ex_cortex_sphfo;
Sx_cortex_g1=Sx_cortex_sphfo;
Sx_cortex_g2=Sx_cortex_sphfo;
row=si_mixed.i1;
cont=0;
for ll=1:length(Mx_cortex_sphfo)
% cont=cont+length(Mx_cortex{ll});
if ~isempty(Mx_cortex_sphfo{ll})
for lll=1:length(Mx_cortex_sphfo{ll})
cont=cont+1;
% xo
if ~ismember(cont,row)
Mx_cortex_g1{ll}(lll)=NaN;
Ex_cortex_g1{ll}(lll)=NaN;
Sx_cortex_g1{ll}(lll)=NaN;
else
Mx_cortex_g2{ll}(lll)=NaN;
Ex_cortex_g2{ll}(lll)=NaN;
Sx_cortex_g2{ll}(lll)=NaN;
end
end
Mx_cortex_g1{ll}=Mx_cortex_g1{ll}(~isnan(Mx_cortex_g1{ll}));
Mx_cortex_g2{ll}=Mx_cortex_g2{ll}(~isnan(Mx_cortex_g2{ll}));
Ex_cortex_g1{ll}=Ex_cortex_g1{ll}(~isnan(Ex_cortex_g1{ll}));
Ex_cortex_g2{ll}=Ex_cortex_g2{ll}(~isnan(Ex_cortex_g2{ll}));
Sx_cortex_g1{ll}=Sx_cortex_g1{ll}(~isnan(Sx_cortex_g1{ll}));
Sx_cortex_g2{ll}=Sx_cortex_g2{ll}(~isnan(Sx_cortex_g2{ll}));
end
end
%xo
%% Coocur PFC spindle and ripples
[cohfos1_g1,cohfos2_g1]=cellfun(@(equis1,equis2,equis3,equis4,equis5,equis6) co_hfo_spindle(equis1,equis2,equis3,equis4,equis5,equis6),Sx_cortex_g1,Mx_cortex_g1,Ex_cortex_g1,Sx_cortex,Mx_cortex,Ex_cortex,'UniformOutput',false);
[cohfos1_g2,cohfos2_g2]=cellfun(@(equis1,equis2,equis3,equis4,equis5,equis6) co_hfo_spindle(equis1,equis2,equis3,equis4,equis5,equis6),Sx_cortex_g2,Mx_cortex_g2,Ex_cortex_g2,Sx_cortex,Mx_cortex,Ex_cortex,'UniformOutput',false);
%xo
Cohfos1_PFC_g1{k}=([cohfos1_g1{:}]);
Cohfos2_PFC_g1{k}=([cohfos2_g1{:}]);
Cohfos1_PFC_g2{k}=([cohfos1_g2{:}]);
Cohfos2_PFC_g2{k}=([cohfos2_g2{:}]);
%% Coocur PFC spindle and shuffled ripples.
%xo
% parfor r=1:1000
% [cohfos1_rand_g1,cohfos2_rand_g1]=cellfun(@(equis1,equis2,equis3,equis4,equis5,equis6) co_hfo_spindle(equis1,equis2,equis3,equis4,equis5,equis6),Sx_cortex_g1,Mx_cortex_g1,Ex_cortex_g1,Sr_cortex{r},Sr_cortex{r},Er_cortex{r},'UniformOutput',false);
% [cohfos1_rand_g2,cohfos2_rand_g2]=cellfun(@(equis1,equis2,equis3,equis4,equis5,equis6) co_hfo_spindle(equis1,equis2,equis3,equis4,equis5,equis6),Sx_cortex_g2,Mx_cortex_g2,Ex_cortex_g2,Sr_cortex{r},Sr_cortex{r},Er_cortex{r},'UniformOutput',false);
%
%
% Cohfos1_PFC_all_g1(k,r)=sum(cellfun('length',cohfos1_rand_g1));
% Cohfos1_PFC_unique_g1(k,r)=sum(cellfun(@(equis) length(unique(equis)), cohfos1_rand_g1));
% Cohfos2_PFC_all_g1(k,r)=sum(cellfun('length',cohfos2_rand_g1));
% Cohfos2_PFC_unique_g1(k,r)=sum(cellfun(@(equis) length(unique(equis)), cohfos2_rand_g1));
%
% Cohfos1_PFC_all_g2(k,r)=sum(cellfun('length',cohfos1_rand_g2));
% Cohfos1_PFC_unique_g2(k,r)=sum(cellfun(@(equis) length(unique(equis)), cohfos1_rand_g2));
% Cohfos2_PFC_all_g2(k,r)=sum(cellfun('length',cohfos2_rand_g2));
% Cohfos2_PFC_unique_g2(k,r)=sum(cellfun(@(equis) length(unique(equis)), cohfos2_rand_g2));
% end
%%
CORTEX=dir(strcat('*','HPC','*.mat'));
if isempty(CORTEX)
g=g(~contains(g,g{k}));
cd ..
progress_bar(k,length(g),f)
break
end
CORTEX=CORTEX.name;
CORTEX=load(CORTEX);
%CORTEX=CORTEX.CORTEX;
CORTEX=getfield(CORTEX,'HPC');
CORTEX=CORTEX.*(0.195);
A = dir('*states*.mat');
A={A.name};
if ~isempty(A)
cellfun(@load,A);
else
error('No Scoring found')
end
%
[ripple_nhpc,~,~,Mx_nhpc,~,sig_nhpc,Ex_nhpc,Sx_nhpc,...
~,~,~,~,~, ...
]=gui_findripples(CORTEX,states,{'HPC'},tr,multiplets,fn);
%% Coocur PFC spindle and HPC ripples
[cohfos1_hpc,cohfos2_hpc]=cellfun(@(equis1,equis2,equis3,equis4,equis5,equis6) co_hfo_spindle(equis1,equis2,equis3,equis4,equis5,equis6),Sx_nhpc,Mx_nhpc,Ex_nhpc,Sx_cortex,Mx_cortex,Ex_cortex,'UniformOutput',false);
Cohfos1_PFC_hpc{k}= ([cohfos1_hpc{:}]);
Cohfos2_PFC_hpc{k}= ([cohfos2_hpc{:}]);
%% Coocur PFC spindle and shuffled HPC ripples.
xo
parfor r=1:1000
[cohfos1_rand_hpc,cohfos2_rand_hpc]=cellfun(@(equis1,equis2,equis3,equis4,equis5,equis6) co_hfo_spindle(equis1,equis2,equis3,equis4,equis5,equis6),Sx_nhpc,Mx_nhpc,Ex_nhpc,Sr_cortex{r},Sr_cortex{r},Er_cortex{r},'UniformOutput',false);
Cohfos1_PFC_hpc_all(k,r)=sum(cellfun('length',cohfos1_rand_hpc));
Cohfos1_PFC_hpc_unique(k,r)=sum(cellfun(@(equis) length(unique(equis)), cohfos1_rand_hpc));
Cohfos2_PFC_hpc_all(k,r)=sum(cellfun('length',cohfos2_rand_hpc));
Cohfos2_PFC_hpc_unique(k,r)=sum(cellfun(@(equis) length(unique(equis)), cohfos2_rand_hpc));
[out_rand_pfc]=coccur_multiplets(cohfos2_rand_hpc);
Out_rand_PFC(k,r,:)=(out_rand_pfc(:,2));
end
%% COOCUR SPINDLE-HPC MULTIPLETS
[out_pfc]=coccur_multiplets(cohfos2_hpc);
Out_PFC{k}=out_pfc;
%%
%Remove repeated values
%[cohfos1,cohfos2]=cellfun(@(equis1,equis2) coocur_repeat(equis1,equis2), cohfos1,cohfos2,'UniformOutput',false);
%% HPC
HPC=dir(strcat('*',yy{1},'*.mat'));
if isempty(HPC)
g=g(~contains(g,g{k}));
cd ..
progress_bar(k,length(g),f)
break
end
HPC=HPC.name;
HPC=load(HPC);
%HPC=HPC.HPC;
HPC=getfield(HPC,yy{1});
HPC=HPC.*(0.195);
%xo
[ripple,RipFreq,rip_duration,Mx_hpc,timeasleep,sig_hpc,Ex_hpc,Sx_hpc,...
ripple_multiplets_hpc,RipFreq_multiplets_hpc,rip_duration_multiplets_hpc,sig_multiplets_hpc,Mx_multiplets_hpc...
]=gui_findspindlesYASA(HPC,states,yy,multiplets,fn);
si=sig_hpc(~cellfun('isempty',sig_hpc));
si=[si{:}];
% plot_hfo(si,Mx_hpc,Sx_hpc,label1{1})
% title(['HFO HPC ' strrep(g{k},'_','-')])
% cd ..
% printing(['HFO HPC ' strrep(g{k},'_','-')])
% close all
% cd(g{k})
% xo
%All_HPC.( strrep(g{k},'-','_'))=si;
[x,y,z,~,~,~,l,p]=hfo_specs_spindles(si,timeasleep,fn,0);
%PRE POST ANALYSIS
% [Sx_pre,Mx_pre,Ex_pre,Sx_post,Mx_post,Ex_post]=cellfun(@(equis1,equis2,equis3) pre_post_spindle(equis1,equis2,equis3) ,Sx_hpc,Mx_hpc,Ex_hpc ,'UniformOutput',false);
%%
%Convert signal to 1 sec epochs.
e_t=1;
e_samples=e_t*(fn); %fs=1kHz
ch=length(HPC);
nc=floor(ch/e_samples); %Number of epochsw
NC=[];
for kk=1:nc
NC(:,kk)= HPC(1+e_samples*(kk-1):e_samples*kk);
end
vec_bin=states;
vec_bin(vec_bin~=3)=0;
vec_bin(vec_bin==3)=1;
%Cluster one values:
v2=ConsecutiveOnes(vec_bin);
v_index=find(v2~=0);
v_values=v2(v2~=0);
clear v
for epoch_count=1:length(v_index)
v{epoch_count,1}=reshape(NC(:, v_index(epoch_count):v_index(epoch_count)+(v_values(1,epoch_count)-1)), [], 1);
end
ti=cellfun(@(equis) reshape(linspace(0, length(equis)-1,length(equis))*(1/fn),[],1) ,v,'UniformOutput',false);
%%
% vec_nan=cellfun(@(equis1) (isempty(equis1)), Mx_cortex);
% vec_nan=cellfun(@(equis1) (isempty(equis1)), Mx_hpc);
clear dur_hpc
for dd=1:length(Mx_hpc)
dur_hpc{dd}=Ex_hpc{dd}-Sx_hpc{dd};
if isempty(Sx_hpc{dd})
Sx_hpc{dd}=nan;
end
end
dur_hpc=dur_hpc.';
parfor r=1:1000
ti_rand=cellfun(@(equis) equis(randperm(size(equis, 1))),ti,'UniformOutput',false);
Sr_hpc{r}=cellfun(@(equis1,equis2,equis3) equis3(findclosest(equis1,equis2)).', ti,Sx_hpc,ti_rand,'UniformOutput',false );
Er_hpc{r}=cellfun(@(equis1,equis2,equis3,equis4) equis3(findclosest(equis1,equis2)).'+equis4, ti,Sx_hpc,ti_rand,dur_hpc,'UniformOutput',false );
% Sr_hpc.(['Field_' num2str(r)])=res1;
% Er_hpc.(['Field_' num2str(r)])=res2;
% r
end
%Change Nans to []
for dd=1:length(Mx_hpc)
if isnan(Sx_hpc{dd})
Sx_hpc{dd}=[];
end
end
%%
[cohfos1_g1,cohfos2_g1]=cellfun(@(equis1,equis2,equis3,equis4,equis5,equis6) co_hfo_spindle(equis1,equis2,equis3,equis4,equis5,equis6),Sx_cortex_g1,Mx_cortex_g1,Ex_cortex_g1,Sx_hpc,Mx_hpc,Ex_hpc,'UniformOutput',false);
[cohfos1_g2,cohfos2_g2]=cellfun(@(equis1,equis2,equis3,equis4,equis5,equis6) co_hfo_spindle(equis1,equis2,equis3,equis4,equis5,equis6),Sx_cortex_g2,Mx_cortex_g2,Ex_cortex_g2,Sx_hpc,Mx_hpc,Ex_hpc,'UniformOutput',false);
%xo
Cohfos1_PAR_g1{k}=([cohfos1_g1{:}]);
Cohfos2_PAR_g1{k}=([cohfos2_g1{:}]);
Cohfos1_PAR_g2{k}=([cohfos1_g2{:}]);
Cohfos2_PAR_g2{k}=([cohfos2_g2{:}]);
%%
%% Coocur PAR spindle and shuffled ripples.
% parfor r=1:1000
% [cohfos1_rand_g1,cohfos2_rand_g1]=cellfun(@(equis1,equis2,equis3,equis4,equis5,equis6) co_hfo_spindle(equis1,equis2,equis3,equis4,equis5,equis6),Sx_cortex_g1,Mx_cortex_g1,Ex_cortex_g1,Sr_hpc{r},Sr_hpc{r},Er_hpc{r},'UniformOutput',false);
% [cohfos1_rand_g2,cohfos2_rand_g2]=cellfun(@(equis1,equis2,equis3,equis4,equis5,equis6) co_hfo_spindle(equis1,equis2,equis3,equis4,equis5,equis6),Sx_cortex_g2,Mx_cortex_g2,Ex_cortex_g2,Sr_hpc{r},Sr_hpc{r},Er_hpc{r},'UniformOutput',false);
%
%
% Cohfos1_PAR_all_g1(k,r)=sum(cellfun('length',cohfos1_rand_g1));
% Cohfos1_PAR_unique_g1(k,r)=sum(cellfun(@(equis) length(unique(equis)), cohfos1_rand_g1));
% Cohfos2_PAR_all_g1(k,r)=sum(cellfun('length',cohfos2_rand_g1));
% Cohfos2_PAR_unique_g1(k,r)=sum(cellfun(@(equis) length(unique(equis)), cohfos2_rand_g1));
%
% Cohfos1_PAR_all_g2(k,r)=sum(cellfun('length',cohfos1_rand_g2));
% Cohfos1_PAR_unique_g2(k,r)=sum(cellfun(@(equis) length(unique(equis)), cohfos1_rand_g2));
% Cohfos2_PAR_all_g2(k,r)=sum(cellfun('length',cohfos2_rand_g2));
% Cohfos2_PAR_unique_g2(k,r)=sum(cellfun(@(equis) length(unique(equis)), cohfos2_rand_g2));
% end
%% Coocur PAR spindle and HPC ripples
[cohfos1_hpc,cohfos2_hpc]=cellfun(@(equis1,equis2,equis3,equis4,equis5,equis6) co_hfo_spindle(equis1,equis2,equis3,equis4,equis5,equis6),Sx_nhpc,Mx_nhpc,Ex_nhpc,Sx_hpc,Mx_hpc,Ex_hpc,'UniformOutput',false);
Cohfos1_PAR_hpc{k}= ([cohfos1_hpc{:}]);
Cohfos2_PAR_hpc{k}= ([cohfos2_hpc{:}]);
%% Coocur PAR spindle and shuffled HPC ripples.
%xo
parfor r=1:1000
[cohfos1_rand_hpc,cohfos2_rand_hpc]=cellfun(@(equis1,equis2,equis3,equis4,equis5,equis6) co_hfo_spindle(equis1,equis2,equis3,equis4,equis5,equis6),Sx_nhpc,Mx_nhpc,Ex_nhpc,Sr_hpc{r},Sr_hpc{r},Er_hpc{r},'UniformOutput',false);
Cohfos1_PAR_hpc_all(k,r)=sum(cellfun('length',cohfos1_rand_hpc));
Cohfos1_PAR_hpc_unique(k,r)=sum(cellfun(@(equis) length(unique(equis)), cohfos1_rand_hpc));
Cohfos2_PAR_hpc_all(k,r)=sum(cellfun('length',cohfos2_rand_hpc));
Cohfos2_PAR_hpc_unique(k,r)=sum(cellfun(@(equis) length(unique(equis)), cohfos2_rand_hpc));
[out_rand_par]=coccur_multiplets(cohfos2_rand_hpc);
Out_rand_PAR(k,r,:)=(out_rand_par(:,2));
end
%% COOCUR SPINDLE-HPC MULTIPLETS
[out_par]=coccur_multiplets(cohfos2_hpc);
Out_PAR{k}=out_par;
%%
% %Instantaneous frequency.
% x=cellfun(@(equis) mean(instfreq(equis,1000)) ,si,'UniformOutput',false);
% x=cell2mat(x);
% x=median(x);
% fi_hpc(k)=x;
% %Average frequency
% y=cellfun(@(equis) (meanfreq(equis,1000)) ,si,'UniformOutput',false);
% y=cell2mat(y);
% y=median(y);
% fa_hpc(k)=y;
%
% %Amplitude
% z=cellfun(@(equis) max(abs(hilbert(equis))) ,si,'UniformOutput',false);
% z=cell2mat(z);
% z=median(z);
% amp_hpc(k)=z;
% Mx_cortex(~cellfun('isempty',Mx_cortex))
%% HFC HFOs
hfos_hpc(k)=ripple;
hfos_hpc_rate(k)=RipFreq;
hfos_hpc_duration(k)=rip_duration;
% xo
%% Coocurent hfos
[cohfos1,cohfos2]=cellfun(@(equis1,equis2,equis3,equis4,equis5,equis6) co_hfo_spindle(equis1,equis2,equis3,equis4,equis5,equis6),Sx_hpc,Mx_hpc,Ex_hpc,Sx_cortex,Mx_cortex,Ex_cortex,'UniformOutput',false);
%Remove repeated values
[cohfos1,cohfos2]=cellfun(@(equis1,equis2) coocur_repeat(equis1,equis2), cohfos1,cohfos2,'UniformOutput',false);
%cohfos1: HPC.
%cohfos2: Cortex.
%Common values:
cohfos_count(k)=sum(cellfun('length',cohfos1));
cohfos_rate(k)=sum(cellfun('length',cohfos1))/(timeasleep*(60));
%% Mixed distribution (Average freq) coHFOs
% Mx_cortex_g1=Mx_cortex;
% Mx_cortex_g2=Mx_cortex;
%
% row=si_mixed.i1;
% cont=0;
% for ll=1:length(Mx_cortex)
% % cont=cont+length(Mx_cortex{ll});
%
% if ~isempty(Mx_cortex{ll})
%
% for lll=1:length(Mx_cortex{ll})
% cont=cont+1;
% % xo
%
% if ~ismember(cont,row)
% Mx_cortex_g1{ll}(lll)=NaN;
% else
% Mx_cortex_g2{ll}(lll)=NaN;
% end
%
% end
% Mx_cortex_g1{ll}=Mx_cortex_g1{ll}(~isnan(Mx_cortex_g1{ll}));
% Mx_cortex_g2{ll}=Mx_cortex_g2{ll}(~isnan(Mx_cortex_g2{ll}));
%
% end
%
% end
%
% [cohfos1_g1,cohfos2_g1]=cellfun(@(equis1,equis2) co_hfo(equis1,equis2),Mx_hpc,Mx_cortex_g1,'UniformOutput',false);
% [cohfos1_g2,cohfos2_g2]=cellfun(@(equis1,equis2) co_hfo(equis1,equis2),Mx_hpc,Mx_cortex_g2,'UniformOutput',false);
%
% cohfos_count_g1(k)=sum(cellfun('length',cohfos1_g1));
% cohfos_rate_g1(k)=sum(cellfun('length',cohfos1_g1))/(timeasleep*(60));
%
% cohfos_count_g2(k)=sum(cellfun('length',cohfos1_g2));
% cohfos_rate_g2(k)=sum(cellfun('length',cohfos1_g2))/(timeasleep*(60));
% %xo
%
% v2_g1=cellfun(@(equis1,equis2) single_hfo_get_sample(equis1,equis2),Mx_cortex_g1,cohfos2_g1,'UniformOutput',false);
% singles_count_g1(k)=sum(cellfun('length',v2_g1));
% singles_rate_g1(k)=sum(cellfun('length',v2_g1))/(timeasleep*(60));
%
%
% v2_g2=cellfun(@(equis1,equis2) single_hfo_get_sample(equis1,equis2),Mx_cortex_g2,cohfos2_g2,'UniformOutput',false);
% singles_count_g2(k)=sum(cellfun('length',v2_g2));
% singles_rate_g2(k)=sum(cellfun('length',v2_g2))/(timeasleep*(60));
%%
%HPC COHFOS
cohf_mx_hpc=Mx_hpc(~cellfun('isempty',cohfos1));%Peak values cells where HPC cohfos were found.
cohf_sx_hpc=Sx_hpc(~cellfun('isempty',cohfos1));%Peak values cells where HPC cohfos were found.
cohf_ex_hpc=Ex_hpc(~cellfun('isempty',cohfos1));%Peak values cells where HPC cohfos were found.
Cohfos1=cohfos1(~cellfun('isempty',cohfos1));
%Locate sample per cohfos
coh_samp_hpc= cellfun(@(equis1,equis2) co_hfo_get_sample(equis1,equis2),cohf_mx_hpc,Cohfos1,'UniformOutput',false);
cohf_sx_hpc_val=cellfun(@(equis1,equis2) equis1(equis2),cohf_sx_hpc,coh_samp_hpc,'UniformOutput',false);
cohf_sx_hpc_val=[cohf_sx_hpc_val{:}];
cohf_mx_hpc_val=cellfun(@(equis1,equis2) equis1(equis2),cohf_mx_hpc,coh_samp_hpc,'UniformOutput',false);
cohf_mx_hpc_val=[cohf_mx_hpc_val{:}];
cohf_ex_hpc_val=cellfun(@(equis1,equis2) equis1(equis2),cohf_ex_hpc,coh_samp_hpc,'UniformOutput',false);
cohf_ex_hpc_val=[cohf_ex_hpc_val{:}];
cohf_hpc_dura=cohf_ex_hpc_val-cohf_sx_hpc_val;
cohf_hpc_dura=median(cohf_hpc_dura);
Cohf_hpc_dura(k)=cohf_hpc_dura;
%xo
Sig_hpc=sig_hpc(~cellfun('isempty',cohfos1));
Sig_hpc=cellfun(@(equis1,equis2) equis1(equis2),Sig_hpc,coh_samp_hpc,'UniformOutput',false);
Sig_hpc=[Sig_hpc{:}];
%xo
% plot_hfo(Sig_hpc,{cohf_mx_hpc_val},{cohf_sx_hpc_val},label1{1})
% title(['coHFO HPC envelope ' strrep(g{k},'_','-')])
% cd ..
% printing(['coHFO HPC envelope ' strrep(g{k},'_','-')])
% close all
% cd(g{k})
[x,y,z,w,h,q,l,p]=hfo_specs_spindles(Sig_hpc,timeasleep,fn,0);
fi_cohfo_hpc(k)=x;
fa_cohfo_hpc(k)=y;
amp_cohfo_hpc(k)=z;
count_cohfo_hpc(k)=w;
rate_cohfo_hpc(k)=h;
dura_cohfo_hpc(k)=q;
auc_cohfo_hpc(k)=l;
p2p_cohfo_hpc(k)=p;
%Single HFOs HPC
%[v2]=single_hfo_get_sample(Mx_hpc{1},cohfos1{1});
v2=cellfun(@(equis1,equis2) single_hfo_get_sample(equis1,equis2),Mx_hpc,cohfos1,'UniformOutput',false);
Sig_hpc_single=cellfun(@(equis1,equis2) equis1(equis2),sig_hpc,v2,'UniformOutput',false);
Sig_hpc_single=[Sig_hpc_single{:}];
[single_mx_hpc_val,single_sx_hpc_val]=cellfun(@(equis1,equis2,equis3) single_hfos_mx(equis1,equis2,equis3),cohfos1,Mx_hpc,Sx_hpc,'UniformOutput',false);
single_mx_hpc_val=[single_mx_hpc_val{:}];
single_sx_hpc_val=[single_sx_hpc_val{:}];
% xo
% plot_hfo(Sig_hpc_single,{single_mx_hpc_val},{single_sx_hpc_val},label1{1})
% title(['Single HPC envelope ' strrep(g{k},'_','-')])
% cd ..
% printing(['Single HPC envelope ' strrep(g{k},'_','-')])
% close all
% cd(g{k})
%%%%
%Cortical COHFOS
cohf_mx_cortex=Mx_cortex(~cellfun('isempty',cohfos2));%Peak values cells where cortex cohfos were found.
cohf_sx_cortex=Sx_cortex(~cellfun('isempty',cohfos2));%Peak values cells where cortex cohfos were found.
cohf_ex_cortex=Ex_cortex(~cellfun('isempty',cohfos2));%Peak values cells where cortex cohfos were found.
Cohfos2=cohfos2(~cellfun('isempty',cohfos2));
%Locate sample per cohfos
coh_samp_cortex= cellfun(@(equis1,equis2) co_hfo_get_sample(equis1,equis2),cohf_mx_cortex,Cohfos2,'UniformOutput',false);
cohf_sx_cortex_val=cellfun(@(equis1,equis2) equis1(equis2),cohf_sx_cortex,coh_samp_cortex,'UniformOutput',false);
cohf_sx_cortex_val=[cohf_sx_cortex_val{:}];
cohf_mx_cortex_val=cellfun(@(equis1,equis2) equis1(equis2),cohf_mx_cortex,coh_samp_cortex,'UniformOutput',false);
cohf_mx_cortex_val=[cohf_mx_cortex_val{:}];
cohf_ex_cortex_val=cellfun(@(equis1,equis2) equis1(equis2),cohf_ex_cortex,coh_samp_cortex,'UniformOutput',false);
cohf_ex_cortex_val=[cohf_ex_cortex_val{:}];
cohf_cortex_dura=cohf_ex_cortex_val-cohf_sx_cortex_val;
cohf_cortex_dura=median(cohf_cortex_dura);
Cohf_cortex_dura(k)=cohf_cortex_dura;
Sig_cortex=sig_cortex(~cellfun('isempty',cohfos2));
Sig_cortex=cellfun(@(equis1,equis2) equis1(equis2),Sig_cortex,coh_samp_cortex,'UniformOutput',false);
Sig_cortex=[Sig_cortex{:}];
% xo
% plot_hfo(Sig_cortex,{cohf_mx_cortex_val},{cohf_sx_cortex_val},label1{2})
% title(['coHFO cortex envelope ' strrep(g{k},'_','-')])
% cd ..
% printing(['coHFO cortex envelope ' strrep(g{k},'_','-')])
% close all
% cd(g{k})
%Single HFOs Cortex
%[v2]=single_hfo_get_sample(Mx_hpc{1},cohfos1{1});
v2=cellfun(@(equis1,equis2) single_hfo_get_sample(equis1,equis2),Mx_cortex,cohfos2,'UniformOutput',false);
Sig_cortex_single=cellfun(@(equis1,equis2) equis1(equis2),sig_cortex,v2,'UniformOutput',false);
Sig_cortex_single=[Sig_cortex_single{:}];
%xo
[single_mx_cortex_val,single_sx_cortex_val]=cellfun(@(equis1,equis2,equis3) single_hfos_mx(equis1,equis2,equis3),cohfos2,Mx_cortex,Sx_cortex,'UniformOutput',false);
single_mx_cortex_val=[single_mx_cortex_val{:}];
single_sx_cortex_val=[single_sx_cortex_val{:}];
% plot_hfo(Sig_cortex_single,{single_mx_cortex_val},{single_sx_cortex_val},label1{2})
% title(['Single cortex envelope ' strrep(g{k},'_','-')])
% cd ..
% printing(['Single cortex envelope ' strrep(g{k},'_','-')])
% close all
% cd(g{k})
%xo
progress_bar(k,length(g),f)
cd ..
end
xo
%%
save('cohfos_spindles_SWR_24.mat','Cohfos2_PAR_hpc_all','Cohfos2_PAR_hpc_unique','Cohfos2_PFC_hpc_all','Cohfos2_PFC_hpc_unique',...
'Cohfos1_PAR_hpc_all','Cohfos1_PAR_hpc_unique','Cohfos1_PFC_hpc_all','Cohfos1_PFC_hpc_unique',...
'Cohfos2_PAR_hpc','Cohfos2_PFC_hpc','Cohfos1_PAR_hpc','Cohfos1_PFC_hpc','Out_rand_PAR','Out_rand_PFC','Out_PAR','Out_PFC')
%% Spindle-HPC ripples. random
mean(Cohfos2_PAR_hpc_all,2).'
mean(Cohfos2_PAR_hpc_unique,2).'
mean(Cohfos2_PFC_hpc_all,2).'
mean(Cohfos2_PFC_hpc_unique,2).'
TT=table;
TT.Variables= [mean(Cohfos2_PAR_hpc_all,2).'; mean(Cohfos2_PAR_hpc_unique,2).';...
mean(Cohfos2_PFC_hpc_all,2).'; mean(Cohfos2_PFC_hpc_unique,2).';
] ;
TT.Properties.VariableNames=[cellfun(@(equis) strrep(equis,'_','-'),labelconditions2.','UniformOutput',false).'].';
writetable(TT,strcat('hpc_ripple_spindles_random','.xls'),'Sheet',1,'Range','A2:L50')
%% HPC ripples-spindles-multiplets random
averno_par=mean(Out_rand_PAR,2);
averno_par=squeeze(averno_par);
averno_par=(averno_par).';
averno_pfc=mean(Out_rand_PFC,2);
averno_pfc=squeeze(averno_pfc);
averno_pfc=(averno_pfc).';
TT=table;
TT.Variables=([averno_par; [NaN NaN NaN NaN] ;averno_pfc] );
TT.Properties.VariableNames=[cellfun(@(equis) strrep(equis,'_','-'),g,'UniformOutput',false).'].';
writetable(TT,strcat('hpc_ripple_spindles_multiplets_random','.xls'),'Sheet',1,'Range','A2:L50')
%%
% PAR ALL
for n=1:4
histogram(Cohfos2_PAR_hpc_all(n,:),'FaceColor',[0 0 0])
hold on
ylabel('Frequency')
xlabel('Count')
Y1 = prctile(Cohfos2_PAR_hpc_all(n,:),5)
Y2 = prctile(Cohfos2_PAR_hpc_all(n,:),95)
%Y3 = prctile(random_cohfos_count,2.5)
%Y4 = prctile(random_cohfos_count,97.5)
xline(Y1, '-.k','LineWidth',2)
xline(Y2, '-.k','LineWidth',2)
% xline(Y3, '--k','LineWidth',2)
% xline(Y4, '--k','LineWidth',2)
xline(cellfun('length',Cohfos2_PAR_hpc(n)), '-r','LineWidth',2)
% xlim([25 325])
% xticks([25:25:325])
% printing(['Aa_Spindle_SWR_coocur_control_PAR_ALL_Rat' num2str(Rat) '_' labelconditions2{n}])
pause(1)
close all
end
%%
% PAR unique
for n=1:4
histogram(Cohfos2_PAR_hpc_unique(n,:),'FaceColor',[0 0 0])
hold on
ylabel('Frequency')
xlabel('Count')
Y1 = prctile(Cohfos2_PAR_hpc_unique(n,:),5)
Y2 = prctile(Cohfos2_PAR_hpc_unique(n,:),95)
%Y3 = prctile(random_cohfos_count,2.5)
%Y4 = prctile(random_cohfos_count,97.5)
xline(Y1, '-.k','LineWidth',2)
xline(Y2, '-.k','LineWidth',2)
% xline(Y3, '--k','LineWidth',2)
% xline(Y4, '--k','LineWidth',2)
xline(cell2mat(cellfun(@(equis) length(unique(equis)),Cohfos2_PAR_hpc(n),'UniformOutput',false)), '-r','LineWidth',2)
xlim([20 160])
xticks([20:20:160])
printing(['Spindle_SWR_coocur_control_PAR_unique_Rat' num2str(Rat) '_' labelconditions2{n}])
close all
end
%%
% PFC ALL
for n=1:4
histogram(Cohfos2_PFC_hpc_all(n,:),'FaceColor',[0 0 0])
hold on
ylabel('Frequency')
xlabel('Count')
Y1 = prctile(Cohfos2_PFC_hpc_all(n,:),5)
Y2 = prctile(Cohfos2_PFC_hpc_all(n,:),95)
%Y3 = prctile(random_cohfos_count,2.5)
%Y4 = prctile(random_cohfos_count,97.5)
xline(Y1, '-.k','LineWidth',2)
xline(Y2, '-.k','LineWidth',2)
% xline(Y3, '--k','LineWidth',2)
% xline(Y4, '--k','LineWidth',2)
xline(cellfun('length',Cohfos2_PFC_hpc(n)), '-r','LineWidth',2)
xlim([25 350])
xticks([25:25: 350])
printing(['Spindle_SWR_coocur_control_PFC_ALL_Rat' num2str(Rat) '_' labelconditions2{n}])
close all
end
%%
% PFC unique
for n=1:4
histogram(Cohfos2_PFC_hpc_unique(n,:),'FaceColor',[0 0 0])
hold on
ylabel('Frequency')
xlabel('Count')
Y1 = prctile(Cohfos2_PFC_hpc_unique(n,:),5)
Y2 = prctile(Cohfos2_PFC_hpc_unique(n,:),95)
%Y3 = prctile(random_cohfos_count,2.5)
%Y4 = prctile(random_cohfos_count,97.5)
xline(Y1, '-.k','LineWidth',2)
xline(Y2, '-.k','LineWidth',2)
% xline(Y3, '--k','LineWidth',2)
% xline(Y4, '--k','LineWidth',2)
xline(cell2mat(cellfun(@(equis) length(unique(equis)),Cohfos2_PFC_hpc(n),'UniformOutput',false)), '-r','LineWidth',2)
xlim([25 175])
xticks([25:25:175])
printing(['Spindle_SWR_coocur_control_PFC_unique_Rat' num2str(Rat) '_' labelconditions2{n}])
close all
end
%% Spindle-HFOS
% cellfun('length',Cohfos1_PAR_g1)
% cellfun('length',Cohfos1_PAR_g2)
% cellfun('length',Cohfos1_PFC_g1)
% cellfun('length',Cohfos1_PFC_g2)
labelconditions2=[ {'plusmaze'}
{'nl' }
{'for' }
{'novelty' }];
mean(Cohfos1_PAR_all_g1,2).'
mean(Cohfos1_PAR_all_g2,2).'
mean(Cohfos1_PFC_all_g1,2).'
mean(Cohfos1_PFC_all_g2,2).'
TT=table;
TT.Variables= [mean(Cohfos1_PAR_all_g1,2).'; mean(Cohfos1_PAR_all_g2,2).';...
mean(Cohfos1_PFC_all_g1,2).'; mean(Cohfos1_PFC_all_g2,2).';
] ;
TT.Properties.VariableNames=[cellfun(@(equis) strrep(equis,'_','-'),labelconditions2.','UniformOutput',false).'].';
writetable(TT,strcat('ripple_spindles_random','.xls'),'Sheet',1,'Range','A2:L10')
%%
% PAR slow
for n=1:4
histogram(Cohfos1_PAR_all_g1(n,:),'FaceColor',[0 0 0])
hold on
ylabel('Frequency')
xlabel('Count')
Y1 = prctile(Cohfos1_PAR_all_g1(n,:),5)
Y2 = prctile(Cohfos1_PAR_all_g1(n,:),95)
%Y3 = prctile(random_cohfos_count,2.5)
%Y4 = prctile(random_cohfos_count,97.5)
xline(Y1, '-.k','LineWidth',2)
xline(Y2, '-.k','LineWidth',2)
% xline(Y3, '--k','LineWidth',2)
% xline(Y4, '--k','LineWidth',2)
xline(cellfun('length',Cohfos1_PAR_g1(n)), '-r','LineWidth',2)
xlim([0 4])
printing(['Spindle_hfo_coocur_control_PAR_g1_Rat' num2str(Rat) '_' labelconditions2{n}])
close all
end
%%
for n=1:4
histogram(Cohfos1_PAR_all_g2(n,:),'FaceColor',[0 0 0])
hold on
ylabel('Frequency')
xlabel('Count')
Y1 = prctile(Cohfos1_PAR_all_g2(n,:),5)
Y2 = prctile(Cohfos1_PAR_all_g2(n,:),95)
%Y3 = prctile(random_cohfos_count,2.5)
%Y4 = prctile(random_cohfos_count,97.5)
xline(Y1, '-.k','LineWidth',2)
xline(Y2, '-.k','LineWidth',2)
% xline(Y3, '--k','LineWidth',2)
% xline(Y4, '--k','LineWidth',2)
xline(cellfun('length',Cohfos1_PAR_g2(n)), '-r','LineWidth',2)
xlim([0 15])
printing(['Spindle_hfo_coocur_control_PAR_g2_Rat' num2str(Rat) '_' labelconditions2{n}])
close all
end
%%
for n=1:4
histogram(Cohfos1_PFC_all_g1(n,:),'FaceColor',[0 0 0])
hold on
ylabel('Frequency')
xlabel('Count')
Y1 = prctile(Cohfos1_PFC_all_g1(n,:),5)
Y2 = prctile(Cohfos1_PFC_all_g1(n,:),95)
%Y3 = prctile(random_cohfos_count,2.5)
%Y4 = prctile(random_cohfos_count,97.5)
xline(Y1, '-.k','LineWidth',2)
xline(Y2, '-.k','LineWidth',2)
% xline(Y3, '--k','LineWidth',2)
% xline(Y4, '--k','LineWidth',2)