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Modified version Ferath's script to threshhold and print SPM5 results. The script prints rendered activations as well as a list of coordinates. The first six blocks of lines are the ones you need to (or are most likely to want to) change. Originally modified by DannyMitchell and subsequently by IanNimmoSmith. |
Modified version Ferath's script to threshhold and print SPM5 results. The script prints glass brains and rendered activations as well as the first page of the results table. The lines in block (3) are the ones you need to (or are most likely to want to) change. Originally modified by DannyMitchell and subsequently by IanNimmoSmith. |
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1. Path to data, and where the results are printed {{{dataroot = '/imaging/dm01/TestReCon';}}} |
1. The program needs files attachment:cls_getRes.m and attachment:cls_getSPM2.m . For CBU people the following line should find them, otherwise you need to download them and point to their path. {{{addpath /imaging/dm01/MoreTools/spm2Batch}}}. Also, you should add a path to the custom spm_render_dm, which solves some of the issues of the default spm_render command {{{addpath /imaging/dm01/MEG/aaMEG}}} |
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1. Name of folder, in above directory, where analysis is {{{outputdir='';}}} |
1. Last updated 02/07 by DannyMitchell |
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1. Cell array of folder names in outputdir, containing the SPMs for each contrast {{{cond_dir={'EarlySmoothNoReCon'};}}} |
1. {{{ dataroot = ''; % path to data anadirs = {''}; % name of folder(s), in above directory, where analysis is (useful if you have used several models in analysis) cond_dir={''}; % cell array of folder names in outputdir, containing the SPMs for each contrast % %%(AVG) Alternatively, save the data from your 'aamod_firstlevel_contrasts.m' file onto a 'contrast_names.mat' file and do the following: % load contrast_names % cond_dir=cname; %cname is the array of contrast names and their directory names in your second level analysis folder |
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1. Set the following variable to 'yes' to do a 2-tailed test and show rendered activations and deactivations (assumes that positive and negative second level contrasts have already been calculated; Glass brains will only show positive activations). Set it to 'no' to to a 1-tailed test and only calculate positive activations. {{{ShowDeactivations = 'no';}}} |
outputfilesuffix='_RFX_Rendered.ps' %{set the following variable to 'yes' to do a 2-tailed test and show % rendered activations and deactivations (assumes that positive and negative % second level contrasts have already been calculated; Glass brains will % only show positive activations). Set it to 'no' to to a 1-tailed test % and only calculate positive activations. %} ShowDeactivations = 'no'; Threshold=0.05; % p threshold ExtentThreshold=0; % minimum number of contiguous voxels addpath /imaging/dm01/MoreTools/spm2Batch %{the program needs files cls_getRes.m and cls_getSPM2.m. For CBU people this line will find them, otherwise you need to download them and point to their path.%} MCC='FDR'; % method for correcting for multiple comparisons : 'FWE','FDR', or 'none' Brain='/imaging/local/spm/spm5/rend/render_smooth_average.mat'%render_single_subj.mat' %render_smooth_average.mat'; % the brain on which you want to render the results Style=1; % Rendering Style: NaN=old, 1=normal, <1=brighter |
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1. p threshold {{{Threshold=0.05;}}} |
% for results table num=3; % number of maxima per cluster dis=8; % distance among clusters (mm)}}} |
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1. Minimum number of contiguous voxels {{{ExtentThreshold=0;}}} |
2. {{{ %%%%%%% Do it: for j = 1:size(anadirs,2) outputdir=anadirs{j}; |
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The program needs files cls_getRes.m and cls_getSPM2.m. For CBU people this line will find them, otherwise you need to download them and point to their path. |
if exist(fullfile(dataroot,strcat(outputdir,outputfilesuffix)))==2 delete(fullfile(dataroot,strcat(outputdir,outputfilesuffix))); end; |
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{{{addpath /imaging/dm01/MoreTools/spm2Batch}}} Method for correcting for multiple comparisons : 'FWE','FDR', or 'none' {{{MCC='FDR';}}} The brain on which you want to render the results {{{Brain='/imaging/local/spm/spm5/rend/render_smooth_average.mat';}}} {{{%%%%%%% Do it: if exist(fullfile(dataroot,strcat(outputdir,'_RFX_Rendered.ps')))==2 delete(fullfile(dataroot,strcat(outputdir,'_RFX_Rendered.ps'))); end; disp(strcat('Printing results to:...',fullfile(dataroot,strcat(outputdir,'_RFX_Rendered.ps')))) |
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try q=defaults.units{3}; catch; defaults.units={'mm','mm','mm'}; end; % for some reason I had to add this line 15/01/07 | |
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%- xSPM is a structure for the parameters | %- xSPM is a structure for the parameters}}} |
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3. {{{ | |
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clear SPM | clear SPM}}} |
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for i = 1:size(cond_dir,2) condir = fullfile(dataroot,outputdir,cond_dir{i}); cd(condir); xSPM.spmmat = fullfile(condir,'SPM.mat'); % Get SPM path if ShowDeactivations(1)=='y' xSPM.u=0.025; % 2-tailed TailText='2-tailed, p<0.05'; else xSPM.u=0.05; % 1-tailed TailText='1-tailed, p<0.05'; end xSPM.k=0; bck_xSPM=xSPM; delete(gcf) % this is a bit annoying, but for some reason I had problems without it for i=2:-1:1 xSPM= bck_xSPM; % Reset xSPM to default xSPM.Ic=i; %Set the current contrast Index [hReg,xSPM,SPM] = csl_getRes(xSPM); dat(3-i) = struct( 'XYZ', xSPM.XYZ,... 't', xSPM.Z',... 'mat', xSPM.M,... 'dim', xSPM.DIM); end clear flipdat flipdat(1)=dat(2); if ShowDeactivations(1)=='y' flipdat(2)=dat(1); end try spm_render(flipdat,0.5,Brain); ann1=annotation('textbox',[0 .94 1 .06],'Color','r','String',{strcat('RFX results (',TailText,' correction=',MCC,', red=positive)'),strcat('Data:...',condir),strcat('Date:...',datestr(now,0))},'edge','none'); catch |
4. {{{ for i = 1:size(cond_dir,2) condir = fullfile(dataroot,outputdir,cond_dir{i}); % Checks if there is a rendered file made for this contrast and deletes the old one if exist(strcat(condir,outputfilesuffix),'file')==2 delete(strcat(condir,outputfilesuffix)); end; cd(condir); xSPM.spmmat = fullfile(condir,'SPM.mat'); % Get SPM path %%%%%%%%% modified 080308 to run 2nd level contrasts if not found % Set significance thresholds and run t-tests if not done already load(xSPM.spmmat) if isempty(SPM.xCon) SPM.xCon = spm_FcUtil('Set',cond_dir{i},'T','c',1,SPM.xX.xKXs); end if lower(ShowDeactivations(1))=='y' xSPM.u=Threshold/2; % 2-tailed TailText=strcat('2-tailed, p<',num2str(Threshold)); if length(SPM.xCon)<2 SPM.xCon(end+1) = spm_FcUtil('Set',strcat('Negative_',cond_dir{i}),'T','c',-1,SPM.xX.xKXs); end else xSPM.u=Threshold; % 1-tailed TailText=strcat('1-tailed, p<',num2str(Threshold)); end if isempty(SPM.xCon(1).Vcon) spm_contrasts(SPM); end %%%%%%%%%%%%%% xSPM.k=ExtentThreshold; bck_xSPM=xSPM; delete(gcf) % this is a bit annoying, but for some reason I had problems without it clear dat for con=2:-1:1 % get any negative tail first, so that glass brain ends up showing positive tail xSPM=bck_xSPM; % Reset xSPM to default xSPM.Ic=con; %Set the current contrast Index if strcmp(ShowDeactivations,'no') && con==2; continue; end; try [hReg,xSPM,SPM] = csl_getRes(xSPM); if exist('dat','var') dat(end+1) = struct('XYZ', xSPM.XYZ,'t', xSPM.Z','mat', xSPM.M,'dim', xSPM.DIM); else dat(1) = struct('XYZ', xSPM.XYZ,'t', xSPM.Z','mat', xSPM.M,'dim', xSPM.DIM); end catch xSPM.u=Threshold; % 1-tailed TailText=strcat('1-tailed, p<',num2str(Threshold)); end end dat=circshift(dat,[1 1]); |
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spm_render(flipdat(1),0.5,Brain); | % should work if all tails tested have significant voxels spm_render_dm(dat,Style,Brain); |
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spm_render(flipdat(2),0.5,Brain); ann1=annotation('textbox',[0 .94 1 .06],'Color','r','String',{strcat('RFX results (',TailText,' correction=',MCC,', RED=NEGATIVE)'),strcat('Data:...',condir),strcat('Date:...',datestr(now,0))},'edge','none'); |
% just render +ve tail if no significant -ve voxels spm_render_dm(dat(1),Style,Brain); ann1=annotation('textbox',[0 .94 1 .06],'Color','r','String',{strcat('RFX results (',TailText,' correction=',MCC,', red=positive)'),strcat('Data:...',condir),strcat('Date:...',datestr(now,0))},'edge','none'); |
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ann1=annotation('textbox',[0 .94 1 .06],'Color','r','String',{strcat('RFX results (',TailText,' correction=',MCC,') No significant effects'),strcat('Data:...',condir),strcat('Date:...',datestr(now,0))},'edge','none'); | try % just render -ve tail if no significant +ve voxels dat(1)=dat(2); dat(1).t=zeros(length(dat(1).XYZ),1); % set dat(1) as empty dat(2) spm_render_dm(dat,Style,Brain); ann1=annotation('textbox',[0 .94 1 .06],'Color','r','String',{strcat('RFX results (',TailText,' correction=',MCC,', blue=negative)'),strcat('Data:...',condir),strcat('Date:...',datestr(now,0))},'edge','none'); catch % probably no significant voxels ann1=annotation('textbox',[0 .94 1 .06],'Color','r','String',{strcat('RFX results (',TailText,' correction=',MCC,') No significant effects'),strcat('Data:...',condir),strcat('Date:...',datestr(now,0))},'edge','none'); end |
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try spm_print(strcat(condir,outputfilesuffix)); catch fprintf('\nFailed to print! (check write permissions?)'); return end TabDat=spm_list('List',xSPM,hReg,num, dis); tot=0; for r=1:size(TabDat.dat,1) if ~isempty(TabDat.dat{r,4}); tot=tot+TabDat.dat{r,4};end end if tot>0 delete(ann1); ann1=annotation('textbox',[0 .94 1 .06],'Color','r','String',{strcat('RFX results (',TailText,' correction=',MCC,')'),strcat('Data:...',condir),strcat('Date:...',datestr(now,0))},'edge','none'); ann2=annotation('textbox',[0 0 1 .02],'Color','r','String',strcat('First page of table only. Total number of significant voxels=',num2str(tot)),'edge','none'); try spm_print(strcat(condir,outputfilesuffix)); catch fprintf('\nFailed to print! (check write permissions?)'); return end delete(ann2); end xSPM= bck_xSPM; % Reset xSPM to default delete(ann1); |
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spm_print(fullfile(dataroot,strcat(outputdir,'_RFX_Rendered.ps'))); spm_list('List',xSPM,hReg); spm_print(fullfile(dataroot,strcat(outputdir,'_RFX_Rendered.ps'))); xSPM= bck_xSPM; % Reset xSPM to default delete(ann1); |
fprintf('\nFinished.\nResults saved to: %s.\r',strcat(condir,outputfilesuffix)); |
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}}} |
Modified version Ferath's script to threshhold and print SPM5 results. The script prints glass brains and rendered activations as well as the first page of the results table. The lines in block (3) are the ones you need to (or are most likely to want to) change. Originally modified by DannyMitchell and subsequently by IanNimmoSmith.
The program needs files attachment:cls_getRes.m and attachment:cls_getSPM2.m . For CBU people the following line should find them, otherwise you need to download them and point to their path. addpath /imaging/dm01/MoreTools/spm2Batch. Also, you should add a path to the custom spm_render_dm, which solves some of the issues of the default spm_render command addpath /imaging/dm01/MEG/aaMEG
Last updated 02/07 by DannyMitchell
dataroot = ''; % path to data anadirs = {''}; % name of folder(s), in above directory, where analysis is (useful if you have used several models in analysis) cond_dir={''}; % cell array of folder names in outputdir, containing the SPMs for each contrast % %%(AVG) Alternatively, save the data from your 'aamod_firstlevel_contrasts.m' file onto a 'contrast_names.mat' file and do the following: % load contrast_names % cond_dir=cname; %cname is the array of contrast names and their directory names in your second level analysis folder outputfilesuffix='_RFX_Rendered.ps' %{set the following variable to 'yes' to do a 2-tailed test and show % rendered activations and deactivations (assumes that positive and negative % second level contrasts have already been calculated; Glass brains will % only show positive activations). Set it to 'no' to to a 1-tailed test % and only calculate positive activations. %} ShowDeactivations = 'no'; Threshold=0.05; % p threshold ExtentThreshold=0; % minimum number of contiguous voxels addpath /imaging/dm01/MoreTools/spm2Batch %{the program needs files cls_getRes.m and cls_getSPM2.m. For CBU people this line will find them, otherwise you need to download them and point to their path.%} MCC='FDR'; % method for correcting for multiple comparisons : 'FWE','FDR', or 'none' Brain='/imaging/local/spm/spm5/rend/render_smooth_average.mat'%render_single_subj.mat' %render_smooth_average.mat'; % the brain on which you want to render the results Style=1; % Rendering Style: NaN=old, 1=normal, <1=brighter % for results table num=3; % number of maxima per cluster dis=8; % distance among clusters (mm)
%%%%%%% Do it: for j = 1:size(anadirs,2) outputdir=anadirs{j}; if exist(fullfile(dataroot,strcat(outputdir,outputfilesuffix)))==2 delete(fullfile(dataroot,strcat(outputdir,outputfilesuffix))); end; spm_defaults; global defaults defaults.modality='FMRI'; try q=defaults.units{3}; catch; defaults.units={'mm','mm','mm'}; end; % for some reason I had to add this line 15/01/07 %-------------------------------------------------------------------- %- xSPM is a structure for the parameters
xSPM = struct( ... 'swd', '', ... % full path to SPM.mat file 'Ic', [], ... % no of contrast (or contrasts for conjunction) 'Im', [],... % no of contrast to mask with. Empty for no masking 'pm', [],... % masking contrast uncorrected p 'Ex', [],... % whether masking is inclusive or exclusive 'title', '',... % if empty results in default contrast title 'Mcp', MCC,... % Mutiple comp method: FWE|FDR|none 'u', Threshold,... % threshold (corrected or uncorrected, as above) 'k', ExtentThreshold); % extent threshold clear SPM