Hi Cathy

You are getting that error likely because your Matlab version is too old (before 2011) and it doesn't support 'matlabpool' parallel computing. Also, I notice that you are using only a single random effect (the second column of your design matrix). In that case I don't expect a significant increase in power from the spatiotemporal model. So you can simply use the traditional vertex-wise model

 lhstats = lme_mass_fit_vw(X,[2],Y,ni,lhcortex);

You can find as attachment a non-parallel version of those scripts that may work on your Matlab version (I have not written the non-parallel version of the spatiotemporal model yet). The scripts are name as their parallel versions but with the sufix "1".

Best
-Jorge



De: Catherine Bois <C.Bois@sms.ed.ac.uk>
Para: freesurfer@nmr.mgh.harvard.edu
Enviado: Miércoles 19 de junio de 2013 10:39
Asunto: [Freesurfer] error in lme_mass_fit using matlab tools

Dear Freesurfer experts,

I have a question about fitting linear mixed models to mass-univariate 
data using the lme tools in matlab.

I am currently trying to compute the initial vertex-wise temporal 
covariance estimates by [lhTh0lhRe] = 
lme_mass_fit_EMinit(X,[2],ni,lhcortex,3]

However, I keep getting this error message:

Undefined function 'matlabpool' for input arguments of type 'char'.

Error in lme_mass_fit_init (line 74)
if (prs==1) || (matlabpool('size') ~= prs)

Error in lme_mass_fit_EMinit (line 69)
[Theta1,Re1] = lme_mass_fit_init(X,Zcols,Y,ni,[],prs);

I have defined X, Y etc according to the previous steps available on 
the wiki. Would be very grateful for any clarification on why this 
error message keeps coming up.

Thank you very much,

Cathy

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