This Matlab script will interpolate data to a standard sensor array maxfilter -f %s -o %s -trans %s -v -frame head -origin 0 0 45 -force -ctc /neuro/databases/ctc/ct_sparse.fif -cal /neuro/databases/sss/sss_cal.dat

% For files specified in cell array "files{}", apply maxfilter with -trans % option in order to interpolate data to sensor array specified in "trans_file" % originall file names will be appended by "_t", or by whatever is specified in "t_ext" % for each transed file, a log-file with maxfilter output will be created ("*.log") % OH, March 2009

addpath /opt/mne/matlab/toolbox/; % fiff read/write tools

if exist('files')~=1, % you can pre-specify a list of files here

• files = {'/fullpath/file4subj1.fif', ...
  • '/fullpath/file4subj2.fif', ... '/fullpath/file4subj3.fif'};

end;

if exist('t_ext')~=1, % suffix for filenames of transed files

• t_ext = '_t';

end;

if ~exist(trans_file, 'file'),

• fprintf(1, 'Cannot proceed without trans_file %s\n', trans_file); return;

end; trans_data = fiff_read_evoked( trans_file ); % read fiff-file with standard sensor geometry

nr_files = length(files);

for ff = 1:nr_files, % for each input file, apply maxfilter -trans, then reinsert digitiser points

• in_file = files{ff}; [thispath, thisfile,thisext,thisversn] = fileparts(in_file); out_file = fullfile(thispath, [thisfile t_ext thisext]); log_file = fullfile(thispath, [thisfile t_ext '.log']); % maxfilter -trans... eval(sprintf('!/neuro/bin/util/maxfilter -f %s -o %s -trans %s -v -frame head -origin 0 0 45 -force -ctc /neuro/databases/ctc/ct_sparse.fif -cal /neuro/databases/sss/sss_cal.dat | tee %s', in_file, out_file, trans_file, log_file)); % reinsert digitiser points... data = fiff_read_evoked( out_file ); % read invidual data file with data interpolated to standard sensor geometry data.info.dig = trans_data.info.dig; % insert digitised points from standard geometry to interpolated data set fiff_write_evoked( out_file, data ); % write interpolated data back to fiff-file

end;