diff --git a/scripts/isc_062024_f1_test.m b/scripts/isc_062024_f1_test.m
new file mode 100644
index 0000000..05b4762
--- /dev/null
+++ b/scripts/isc_062024_f1_test.m
@@ -0,0 +1,138 @@
+close all; clear all;
+
+subject={
+    'subj_01';
+    'subj_02';
+    'subj_03';
+    'subj_04';
+    'subj_05';
+    'subj_06';
+%     'subj_07';
+%     'subj_08';
+%     'subj_09';
+%     'subj_10';
+%     'subj_11';
+%     'subj_12';
+%     'subj_13';
+%     'subj_14';
+%     'subj_15';
+%     'subj_16';
+%     'subj_17';
+%     'subj_18';
+%     'subj_19';
+    };
+
+
+stc_folder={
+    'f1';
+    };
+
+hemi={
+    'lh';
+    'rh';
+    };
+
+root_path='/space/maki6/1/users/fhlin/perspective';
+root_path='/Users/fhlin/workspace/perspective';
+
+
+output_stem='isc_062024_f1_z';
+
+confound_polynomial_order=2;
+confound_sinusoidal_order=3;
+
+for stc_idx=1:length(stc_folder)
+    oo=sprintf('%s',output_stem);
+    for hemi_idx=1:length(hemi)
+        stc=[];
+        for subj_idx=1:length(subject)
+            %d=dir(sprintf('%s/%s/%s/epi_data/unpack/*_2_fsaverage*-%s.stc',root_path,subject{subj_idx},stc_folder{stc_idx},hemi{hemi_idx}));
+            fn=sprintf('%s_2_fsaverage_sfmcstc-%s.stc',subject{subj_idx},hemi{hemi_idx});
+            [tmp,a,b,c]=inverse_read_stc(sprintf('%s/%s/epi_data/unpack/%s/%s',root_path,subject{subj_idx},stc_folder{stc_idx},fn));
+            ll=size(tmp,2);
+            tmp=tmp(:,4:ll-4);
+            if(subj_idx>1)
+                if(size(tmp,2)>size(stc,2))
+                    tmp=tmp(:,1:end-1);
+                end;
+            end;
+            stc(:,:,subj_idx)=tmp;
+            fprintf('[%s]::<%s>::<%s>\t%05d time ponits\n',stc_folder{stc_idx},subject{subj_idx},hemi{hemi_idx},size(stc,2));
+            %			length(find(isnan(stc(:))))
+        end;
+        
+        fprintf('\n');
+        
+        timeVec=[1:size(stc,2)]';
+        D_poly=[];
+        D_sinu=[];
+        D_poly=ones(length(timeVec),1);
+        for i=1:confound_polynomial_order
+            tmp=timeVec.^(i);
+            D_poly(:,i+1)=fmri_scale(tmp(:),1,0);
+        end;
+        for i=1:confound_sinusoidal_order
+            D_sinu(:,i*2-1)=sin(timeVec.*i./timeVec(end).*pi);
+            D_sinu(:,i*2)=cos(timeVec.*i./timeVec(end).*pi);
+        end;
+        D=cat(2,D_poly,D_sinu);
+        
+        if(~isempty(D))
+            D_prep=D*inv(D'*D)*D';
+        else
+            D_prep=[];
+        end;
+        
+        for v_idx=1:size(stc,1)
+            if(mod(v_idx,100)==0)
+                fprintf('[%1.1f%%]...\r',v_idx/size(stc,1)*100);
+            end;
+            %tmp=tril(corrcoef(squeeze(stc(v_idx,:,:))),-1);
+            %cc(v_idx)=mean(tmp(find(tmp)));
+            %for subj_idx=1:size(stc,3)
+            if(~isempty(D_prep))
+                data=squeeze(stc(v_idx,:,:))-D_prep*squeeze(stc(v_idx,:,:));
+            else
+                data=squeeze(stc(v_idx,:,:));
+            end;
+            %end;
+            %data=detrend(squeeze(stc(v_idx,:,:)));
+            %[u,s,v]=svd(data);
+            %s=diag(s);
+            %cc(v_idx)=s(1).^2./sum(s.^2);
+            %             for s_idx=1:size(data,2)
+            %                 surr_idx=setdiff([1:size(data,2)],s_idx);
+            %                 t1=data(:,s_idx);
+            %                 t2=mean(data(:,surr_idx),2);
+            %                 tmp_corr=corrcoef(t1,t2);
+            %                 rr(s_idx)=tmp_corr(2,1);
+            %             end;
+            tmp=tril(corrcoef(data),-1);
+            rr=tmp(find(tmp));
+            z=0.5.*log((1+rr)./(1-rr))./(1/sqrt(size(data,1)/2.34-3));
+            zm=median(z);
+            %chi2=sum(log(1-normcdf(abs(z)))).*(-2); %http://en.wikipedia.org/wiki/Fisher%27s_method
+            %chi2m=sum(log(1-normcdf(abs(zm)))).*(-2); %http://en.wikipedia.org/wiki/Fisher%27s_method
+            %if(~isempty(find(chi2(:)<eps)))
+            %	fprintf('Chi2 = 0!!\n');
+            %	keyboard;
+            %end;
+            %if(~isempty(find(chi2(:)>1e3)))
+            %        fprintf('Chi2 = Inf!!\n');
+            %        keyboard;
+            %end;
+            
+            %chi2(find(isnan(chi2)))=0;
+            %chi2(find(isinf(chi2)))=1000;
+            cc(v_idx,:)=z(:)';
+            
+            %chi2m(find(isnan(chi2m)))=0;
+            %chi2m(find(isinf(chi2m)))=1000;
+            ccm(v_idx)=zm;
+        end;
+        
+        inverse_write_stc(cc,a,b,c,sprintf('%s-%s.stc',oo,hemi{hemi_idx}));
+        inverse_write_stc(repmat(ccm(:),[1 5]),a,b,c,sprintf('%s_median-%s.stc',oo,hemi{hemi_idx}));
+    end;
+end;
+