Dear SPMers,
I have been unsuccessfully trying to specify a parametric design model in
batch mode. The same model without parametric modulation works fine, but
if I enter a parametric modulation, I get the following error message:
-----------------------------------------------------------------
??? Conversion to cell from char is not possible.
Error in ==> /home/neuro1/spm_programmi/spm99/spm_get_ons.m
On line 336 ==> DSstr = [DSstr '[ x ' Pstr ' (' Etype ')] '];
Error in ==> /home/neuro1/spm_programmi/spm99/spm_fMRI_design.m
On line 215 ==> [SF,Cname,Pv,Pname,DSstr] = ...
Error in ==> /home/neuro1/spm_programmi/spm99/spm_fmri_spm_ui.m
On line 289 ==> [xX,Sess] = spm_fMRI_design(nscan,RT);
Error in ==> /home/neuro1/spm_programmi/spm99/spm_bch.m
On line 160 ==> spm_fmri_spm_ui;
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I have seen in the mail archive that Russ Poldrack has posted a similar
question a while ago. It would be great if somebody could make a working
batch script for parametric designs available :-)
Does anybody have a clue on what's causing this error?
I include my batch script below for reference.
Thank you in advance for any help,
Greetings,
Marco Tettamanti
Istituto Scientifico San Raffaele
Reparto Medicina Nucleare
Via Olgettina 60
I-20132 Milano
Italy
Tel. 0039 - 02 - 26 42 34 60
Fax: 0039 - 02 - 21 71 75 58
email: [log in to unmask]
%---------------------------------------------------------------
% user variables defined here
%---------------------------------------------------------------
F1 =
spm_get('files','/net/horus/export/home/storage_tmp/marcotettamanti/learning14/piro_03','sn*.img');
F2 =
spm_get('files','/net/horus/export/home/storage_tmp/marcotettamanti/learning14/piro_02','sn*.img');
%---------------------------------------------------------------
% batch variables defined here for analysis 'model'
%---------------------------------------------------------------
model(1) = struct( ...
'types', 4, ...
'global_effects', {'Scaling'}, ...
'burst_mode', 0, ...
'HF_fil', 'specify', ...
'HF_cut', [150 168], ...
'LF_fil', 'hrf', ...
'LF_cut', 4, ...
'int_corr', 'none', ...
'now_later', 1, ...
'stop_writing', 0, ...
'trial_fcon', 1, ...
'RT', 3, ...
'replicated', 0, ...
'nsess', 2, ...
'nscans', [202 202], ...
'files', {{F1,F2}}, ...
'conditions_nb', [4 4], ...
'conditions', [1 2], ...
'regressors_nb', [0 0], ...
'regressors', [], ...
'parametrics_type', {{'other','other'}}, ...
'parametrics', [1 2], ...
'stochastics_flag', [0 0], ...
'stochastics', []);
%-------------------------------------------
conditions(1) = struct( ...
'names', {{'RL1','JL1','RLS','JLS'}}, ...
'onsets', {{[106 131 156 181],[118 143 168 193],[2 27 52 80],[14 39 64
92]}}, ...
'types', {{'epochs','epochs','epochs','epochs'}}, ...
'bf_ev', [], ...
'bf_ep', [1 1 1 1], ...
'volterra', 0, ...
'variable_dur', 0);
conditions(2) = conditions(1);
conditions(2).onsets = {[2 27 52 77],[14 39 64 89],[103 128 153 181],[115
140 165 193]};
%-------------------------------------------
bf_ep(1) = struct( ...
'ep_type', 4, ...
'length',10, ...
'conv', 1, ...
'deriv', 0);
%----------------------------------------
parametrics(1) = struct( ...
'name', {{'behav','behav','behav','behav'}}, ...
'exp_type', {{'linear','linear','linear','linear'}}, ...
'trials', {{[1 2 3 4],[1 2 3 4],[1 2 3 4],[1 2 3 4]}}, ...
'parameters', {{[1396 1712 1384 2097],[7 7 7 8],[2983 2008 1468 1547],[7
8 8 7]}});
parametrics(2) = parametrics(1);
parametrics(2).parameters = {[1551 1629 2002 1550],[8 8 8 7],[1915 1976
1314 1522],[7 8 7 7]};
