function convert2images = spm_cfg_eeg_convert2images % Configuration file for writing voxel-based images from SPM M/EEG format, % as a time-series of 2Dimages %__________________________________________________________________________ % Copyright (C) 2008-2016 Wellcome Trust Centre for Neuroimaging % Stefan Kiebel % $Id: spm_cfg_eeg_convert2images.m 6926 2016-11-09 22:13:19Z guillaume $ %-------------------------------------------------------------------------- % D %-------------------------------------------------------------------------- D = cfg_files; D.tag = 'D'; D.name = 'File Name'; D.filter = 'mat'; D.num = [1 1]; D.help = {'Select the M/EEG mat file.'}; %-------------------------------------------------------------------------- % mode %-------------------------------------------------------------------------- mode = cfg_menu; mode.tag = 'mode'; mode.name = 'Mode'; mode.labels = { 'scalp x time' 'scalp x frequency' 'scalp' 'source' 'time x frequency' 'time' 'frequency' 'average'}'; mode.values = mode.labels; mode.help = {'Select the mode for conversion to images.'}; %-------------------------------------------------------------------------- % timewin %-------------------------------------------------------------------------- timewin = cfg_entry; timewin.tag = 'timewin'; timewin.name = 'Time window'; timewin.help = {'Start and stop of the time window [ms].'}; timewin.strtype = 'r'; timewin.num = [1 2]; timewin.val = {[-Inf Inf]}; %-------------------------------------------------------------------------- % freqwin %-------------------------------------------------------------------------- freqwin = cfg_entry; freqwin.tag = 'freqwin'; freqwin.name = 'Frequency window'; freqwin.help = {'Start and stop of the frequency window (Hz).'}; freqwin.strtype = 'r'; freqwin.num = [1 2]; freqwin.val = {[-Inf Inf]}; %-------------------------------------------------------------------------- % conditions %-------------------------------------------------------------------------- condlabel = cfg_entry; condlabel.tag = 'conditions'; condlabel.name = 'Condition label'; condlabel.strtype = 's'; condlabel.help = {''}; conditions = cfg_repeat; conditions.tag = 'condrepeat'; conditions.name = 'Conditions'; conditions.help = {'Specify the labels of the conditions to be converted.'}; conditions.num = [0 Inf]; conditions.values = {condlabel}; conditions.val = {}; %-------------------------------------------------------------------------- % prefix %-------------------------------------------------------------------------- prefix = cfg_entry; prefix.tag = 'prefix'; prefix.name = 'Directory prefix'; prefix.help = {'Specify the string to be prepended to the output directory name.'}; prefix.strtype = 's'; prefix.num = [0 Inf]; prefix.val = {''}; convert2images = cfg_exbranch; convert2images.tag = 'convert2images'; convert2images.name = 'Convert2Images'; convert2images.val = {D, mode, conditions, spm_cfg_eeg_channel_selector, timewin, freqwin, prefix}; convert2images.help = {'Convert SPM M/EEG data to voxel-based images.'}; convert2images.prog = @run_convert2images; convert2images.vout = @vout_convert2images; convert2images.modality = {'EEG'}; %========================================================================== function out = run_convert2images(job) S = job; S.D = S.D{1}; S.channels = spm_cfg_eeg_channel_selector(job.channels); [out.files, out.dir{1}] = spm_eeg_convert2images(S); %========================================================================== function dep = vout_convert2images(varargin) % Output file names will be saved in a struct with field .files dep(1) = cfg_dep; dep(1).sname = 'M/EEG exported images'; dep(1).src_output = substruct('.','files'); dep(1).tgt_spec = cfg_findspec({{'filter','image','strtype','e'}}); dep(2) = cfg_dep; dep(2).sname = 'M/EEG images folder'; dep(2).src_output = substruct('.','dir'); dep(2).tgt_spec = cfg_findspec({{'filter','dir','strtype','e'}});