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Hi, In FSL there is no pe0 or beta_hat_0 file as we remove the mean prior to setting up the GLM. Hence there is no constant (mean) regressor and so no parameter estimate (or variance) associated with that. I'm not sure where you are getting Beta_hat_0 from. All the best, Mark On 23 Jun 2009, at 16:28, Luis Hernandez wrote: > thanks, Mark. > > Beta_hat_0 is the same as the mean (assuming no pre-whitening), but > I don't think the variance estimate of Beta_hat_0 the same as the > variance of the signal. oh, well... > > > -Luis > > > > > On Jun 23, 2009, at 10:59 AM, Mark Jenkinson wrote: > >> Hi, >> >> If you are talking about the mean signal as the baseline regressor >> then >> I'm afraid the answer is no. We do not remove the mean signal via a >> regressor, but instead remove it from the signal and the model in the >> pre-statistical filtering. Hence we do not generate values or >> variances >> for it. But it is easy to calculate the mean using fslmaths and - >> Tmean >> on the original data if that is all you want. >> >> All the best, >> Mark >> >> >> On 23 Jun 2009, at 15:49, Luis Hernandez wrote: >> >>> Dear FSL experts, >>> >>> Is there a way to get FSL to dump the parameter estimate for the >>> baseline regressor into a file, like pe0? (It looks like the >>> mean_func file might do the trick ... is this right?) BUT more >>> importantly, how about its variance estimate? can that be dumped >>> out? FEAT writes out varcope files based on the specified >>> contrasts but I don't see how to make a contrast that uses the >>> baseline regressor, since it is kind of "hidden" ? >>> >>> I apologize if I missed something obvious. thanks in advance >>> >>> -Luis >>> >>> -- >>> ( http://www.eecs.umich.edu/~hernan ) >>> >> >> > > -- > ( http://www.eecs.umich.edu/~hernan ) >