コード例 #1
0
    else:
        raise OSError('%s exists, remove to re-run'%outdir)

    # Split files of each subject containing all ic's
    infiles = glob(subic_globstr)
    for subfile in infiles:
        subid = pydr.get_subid(subfile, pattern=subid_pattern)
        allic = pydr.split_components(subfile, subid, outdir)
    
    # Merge files of each ic across subjects  
    for cn, item in enumerate(allic): #Search through ics using last subject's output
        datadir, ic = os.path.split(item)       
        subid = pydr.get_subid(item, pattern=subid_pattern)
        globstr = ic.replace(subid, '*')
        mergefile, subject_order = pydr.merge_components(datadir,
                                                      globstr = globstr,
                                                      subid_pattern = subid_pattern)
        outfile = os.path.join(outdir, 'subject_order_ic%04d'%cn)
        with open(outfile, 'w+') as fid: 
            fid.write('\n'.join(subject_order)) #Write out subject order for each ic
    
    # Rename files with ic count starting at 1 and unzip      
    for cn, item in enumerate(glob(ic4d_globstr)):
        datadir, filename = os.path.split(item)
        new_cn = cn + 1
        newfile = os.path.join(datadir, ''.join(['ic','%03d'%new_cn, '_4D.nii.gz']))
        os.rename(item, newfile)
        cmd = CommandLine('gunzip %s'%(newfile))
        cmd.run()
        order_file = os.path.join(datadir, 'subject_order_ic%04d'%cn)
        new_order_file = os.path.join(datadir, 'subject_order_ic%03d'%new_cn)
コード例 #2
0
                            subid,
                            'func',
                            'confound_regressors_6mm.txt') #Name of confound file
                            
        ## If you want residuals to be output, change out_res to True below
        stage2_ts, stage2_tsz = pydr.sub_spatial_map(tmpf, txtf, mask, outdir,
                                     desnorm=True, out_res=True,mvt=mvtfile)
        
        subd.update({subid:stage2_ts})

        ###Split subject 4d file into separate 3d files for each component
        allic = pydr.split_components(stage2_ts, subid, outdir)


    ###Concat ics across subjects.
    ###Only merges ICs from gica, 
    ###not those of confound regressors
    ###############################################
    for cn, item in enumerate(allic[:num_ics]): #Search through ics using last subject's output
        datadir, ic = os.path.split(item)       
        subid = pydr.get_subid(item)
        globstr = ic.replace(subid, '*')
        mergefile, subject_order = pydr.merge_components(datadir,
                                                      globstr = globstr)
        outfile = os.path.join(outdir, 'subject_order_ic%04d'%cn)
        with open(outfile, 'w+') as fid: 
            fid.write('\n'.join(subject_order)) #Write out subject order for each ic

    os.chdir(startdir)