But how can i run the appropriate preprocessing and smoothing? The --X flag s not recognised using mris_preproc. I used the same matrix as X in an FSGD file to do this now, it seems to work, but I do not no if it is correct. Furthermore, If I try to run mri_glmfit --sim for the lGI data, I get an error because fwmh66 is not available. I did not smooth the lGI data and with the DODS/DOSS FSGD models there was no problem, so does this mean my new models are not correct? > From: r_maa...@hotmail.com > Date: Fri, 6 Feb 2015 21:41:53 +0100 > To: freesurfer@nmr.mgh.harvard.edu > Subject: Re: [Freesurfer] average values per cluster > > Ok, thanks! > Maaike > > > Op 6 feb. 2015 om 17:49 heeft "Douglas N Greve" <gr...@nmr.mgh.harvard.edu> > > het volgende geschreven: > > > > > > There is not a way to build more flexible models in the FSGD structure. > > However, you can create your own design matrix and include anything you > > want in it and pass it to mri_glmfit with --X instead of --fsgd. > > > > doug > > > >> On 02/05/2015 06:13 AM, maaike rive wrote: > >> > >> Hi Doug, > >> > >> I hope I'm not driving you crazy, but I have some additional questions > >> regardig the DOSS/DODS models. Also because of the SPSS discrepancies. > >> > >> First, the model I discussed with you I used to assess diagn x age > >> interactions, regressing out the effects of state and gender. However, > >> in this model all interaction terms are incorporated. Is there a way > >> to build the model only incorporating main effects of diagn, state, > >> gender, age and diagn*age and diagn*state interactions? Since I do not > >> expect any higher order interactions or state* age interactions, for > >> instance (this is biologically not very plausible, although I did not > >> formally test it). > >> > >> Second, for areas where there is no diagn*age interaction I want to > >> use a model without any interaction term with age, so I was thinking > >> to use DOSS (I still want to regress out the effects of age, so it was > >> added as a regressor): > >> > >> diagn1*state1*gender1 > >> > >> diagn1*state1*gender2 > >> > >> diagn1*state2*gender1 > >> > >> diagn1*state2*gender2 > >> > >> diagn2*state1*gender1 > >> > >> diagn2*state1*gender2 > >> > >> diagn2*state2*gender1 > >> > >> diagn2*state2*gender2 > >> > >> age > >> > >> However, here there are still interaction terms with gender in the > >> model. I do want to regress out the effects of gender (since I expect > >> this to be a confounder), without incorporating the interaction term. > >> How should I do this? The only solution I can think of is building a > >> model with gender as additional regressor (containing 0 en 1) and > >> using DOSS. So: > >> > >> diagn1*state1 > >> > >> diagn1*state2 > >> > >> diagn2*state1 > >> > >> diagn2*state2 > >> > >> age > >> > >> gender > >> > >> Does this make sense? > >> > >> Third, if so, it implies that for areas where there is no diagn*state > >> interaction, and where I want to test diagn1 vs diagn2 (regressing out > >> the effects of state, since I expect this to be a confounder), I > >> should again build a new model: > >> > >> diagn1 > >> > >> diagn2 > >> > >> age > >> > >> gender > >> > >> state > >> > >> I realize this is a lot of work, hence I hope you could give me > >> any advice about this. > >> > >> Thanks, > >> > >> Maaike > >> > >> ------------------------------------------------------------------------ > >> From: r_maa...@hotmail.com > >> To: freesurfer@nmr.mgh.harvard.edu > >> Date: Tue, 3 Feb 2015 13:18:55 +0100 > >> Subject: Re: [Freesurfer] average values per cluster > >> > >> Hi Doug, > >> > >> Sorry, the statistician doesn't understand it yet; we're currently > >> building freesurfer and SPSS models step by step to find out what's > >> going on, but it's a litte time consuming... so, to be continued! > >> > >> Maaike > >> > >> ------------------------------------------------------------------------ > >> From: r_maa...@hotmail.com > >> To: freesurfer@nmr.mgh.harvard.edu > >> Date: Fri, 30 Jan 2015 20:55:27 +0100 > >> Subject: Re: [Freesurfer] average values per cluster > >> > >> On second thought, I think the reason for the discrepancy is that I > >> included state as a factor instead of covariate in the SPSS model. I > >> ran the model again after having adjusted this and included every > >> possible interaction; now I reach a p value of 0.009 (which is still > >> different but at least significant). But I'll check again Monday! > >> > >> ------------------------------------------------------------------------ > >> From: r_maa...@hotmail.com > >> To: freesurfer@nmr.mgh.harvard.edu > >> Date: Fri, 30 Jan 2015 20:15:07 +0100 > >> Subject: Re: [Freesurfer] average values per cluster > >> > >> I thought so, but I will check with the statistician next Monday, I'll > >> get back to you as soon as I'm sure. > >> > >> ------------------------------------------------------------------------ > >> Date: Fri, 30 Jan 2015 14:12:32 -0500 > >> From: gr...@nmr.mgh.harvard.edu > >> To: freesurfer@nmr.mgh.harvard.edu > >> Subject: Re: [Freesurfer] average values per cluster > >> > >> > >> Actually, that looks correct. Is this what you fed to SPSS? > >> > >> On 1/30/15 2:07 PM, maaike rive wrote: > >> > >> Ok, I'm so sorry, I'm afraid I mixed things up. I indeed used > >> DODS, and assumed these were may regressors: > >> > >> diagn1*state1*gender1 > >> > >> diagn1*state1*gender2 > >> > >> diagn1*state2*gender1 > >> > >> diagn1*state2*gender2 > >> > >> diagn2*state1*gender1 > >> > >> diagn2*state1*gender2 > >> > >> diagn2*state2*gender1 > >> > >> diagn2*state2*gender2 > >> > >> diagn1*state1*gender1*age > >> > >> diagn1*state1*gender2*age > >> > >> diagn1*state2*gender1*age > >> > >> diagn1*state2*gender2*age > >> > >> diagn2*state1*gender1*age > >> > >> diagn2*state1*gender2*age > >> > >> diagn2*state2*gender1*age > >> > >> diagn2*state2*gender2*age > >> > >> > >> However what I actually meant to do was testing for the effects of > >> diagnosis and interactions (e.g. diagnosis*age) by using the > >> appropriate contrasts, so I thought that if I used the contrast > >> for the diagnosis*age interaction, I was testing whether or not > >> this interaction was significant regressing out the effects of > >> state and gender. Another example, I thought that if I used the > >> contrast for diagnosis1 versus diagnosis2, I was testing wether or > >> not there was a significant effect of diagnosis regressing out the > >> effects of state, gender and age. > >> > >> > >> But that is not the case than? How should I build the model to > >> answer these questions? > >> > >> > >> Maaike > >> > >> > >> > >> > >> Date: Fri, 30 Jan 2015 13:33:40 -0500 > >> From: gr...@nmr.mgh.harvard.edu <mailto:gr...@nmr.mgh.harvard.edu> > >> To: freesurfer@nmr.mgh.harvard.edu > >> <mailto:freesurfer@nmr.mgh.harvard.edu> > >> Subject: Re: [Freesurfer] average values per cluster > >> > >> > >> It depends on the actual covariates and whether you used DOSS or > >> DODS. The default is DODS, which is a full interaction model. > >> Assuming that state is a categorical variable with 2 levels, you'd > >> have 4 regressors (gender by state) + 4 more regressors (gender by > >> state by age). If the SPSS model did not have 8 regressors, then > >> it is not the same. > >> > >> doug > >> > >> On 1/30/15 1:26 PM, maaike rive wrote: > >> > >> How should I have described the model? > >> > >> > >> ------------------------------------------------------------------------ > >> Date: Fri, 30 Jan 2015 13:09:40 -0500 > >> From: gr...@nmr.mgh.harvard.edu <mailto:gr...@nmr.mgh.harvard.edu> > >> To: freesurfer@nmr.mgh.harvard.edu > >> <mailto:freesurfer@nmr.mgh.harvard.edu> > >> Subject: Re: [Freesurfer] average values per cluster > >> > >>>>> I told him it the model is a GLM with age, gender and state > >> as covariates > >> > >> This is not a sufficient description. Several design matrices > >> could be derived from this description. > >> > >> On 1/30/15 11:58 AM, maaike rive wrote: > >> > >> The p value from SPSS is 0.156. I checked with a > >> statistician, just to be sure, but he says the SPSS model > >> is correct... (he doesn't know anything about freesurfer > >> and FSGD files, but I told him it the model is a GLM with > >> age, gender and state as covariates). > >> > >> ------------------------------------------------------------------------ > >> Date: Fri, 30 Jan 2015 11:46:37 -0500 > >> From: gr...@nmr.mgh.harvard.edu > >> <mailto:gr...@nmr.mgh.harvard.edu> > >> To: freesurfer@nmr.mgh.harvard.edu > >> <mailto:freesurfer@nmr.mgh.harvard.edu> > >> Subject: Re: [Freesurfer] average values per cluster > >> > >> > >> You should report the clusterwise p-value. The p-value > >> that you have computed is not interpretable. If it did not > >> come out significant, then it would be worrisome, but it > >> is only a check and cannot be used for anything. What > >> p-value did you get from SPSS? I'd be curious to know what > >> the source of the descrpancy is since this has happened > >> several times now. > >> > >> doug > >> > >> On 1/30/15 3:25 AM, maaike rive wrote: > >> > >> Hi Douglas, > >> > >> I used the matlab code and the p value is signifiant, > >> although less so than the p-value I get from the > >> clusterwise statistics (0.0027 vs 0.00010). (Indeed I > >> used an abs threshold for the clusterwise statistics). > >> > >> Which p-value should I report? > >> > >> Thanks, > >> > >> Maaike > >> > >> > >> ------------------------------------------------------------------------ > >> From: r_maa...@hotmail.com <mailto:r_maa...@hotmail.com> > >> To: freesurfer@nmr.mgh.harvard.edu > >> <mailto:freesurfer@nmr.mgh.harvard.edu> > >> Date: Thu, 29 Jan 2015 19:48:44 +0100 > >> Subject: Re: [Freesurfer] average values per cluster > >> > >> No not yet; I will do so! > >> > >>> Date: Thu, 29 Jan 2015 13:44:33 -0500 > >>> From: gr...@nmr.mgh.harvard.edu > >> <mailto:gr...@nmr.mgh.harvard.edu> > >>> To: freesurfer@nmr.mgh.harvard.edu > >> <mailto:freesurfer@nmr.mgh.harvard.edu> > >>> Subject: Re: [Freesurfer] average values per cluster > >>> > >>> > >>> The t is correct. When the contrast matrix only has > >> one row, then the F > >>> is just an unsigned t. I don't know anything about > >> SPSS so I can't tell > >>> from what you have sent whether it is the same model > >> or not. Try to get > >>> SPSS to output the design matrix. Did you try the > >> matlab code below? > >>> > >>>> On 01/29/2015 01:40 PM, maaike rive wrote: > >>>> Hi Douglas, > >>>> > >>>> I checked but as far as I see it I used the same > >> models. I attached > >>>> the SPSS model and output as wel as the FSGD file > >> and contrast file > >>>> (to test a diagnosis x age interaction). Now that > >> I come to think of > >>>> it, I think the reason for the discrepant findings > >> is that I used a > >>>> t-contrast instead of an F-contrast for the > >> interaction in Freesurfer. > >>>> Apologies I did not think about this earlier. But > >> maybe there is > >>>> something else I did completely wrong. > >>>> > >>>> What do you think? > >>>> > >>>> If it is indeed the t vs F contrast, than how > >> should I specify that > >>>> the contrast is an F-contrast? Is it ok to just > >> add another line to > >>>> the contrastfile (so > >>>> 0 0 0 0 0 0 0 0 1 1 1 1 -1 -1 -1 -1 > >>>> 0 0 0 0 0 0 0 0 -1 -1 -1 -1 1 1 1 1)? > >>>> > >>>> Thanks again, > >>>> > >>>> Maaike > >>>> > >>>>> Date: Mon, 26 Jan 2015 11:23:59 -0500 > >>>>> From: gr...@nmr.mgh.harvard.edu > >> <mailto:gr...@nmr.mgh.harvard.edu> > >>>>> To: freesurfer@nmr.mgh.harvard.edu > >> <mailto:freesurfer@nmr.mgh.harvard.edu> > >>>>> Subject: Re: [Freesurfer] average values per cluster > >>>>> > >>>>> > >>>>> We get these kind of reports occasionally. When > >> I ask people to confirm > >>>>> that they use exactly the same design matrix in > >> SPSS, I never hear > >>>> back, > >>>>> so I assume that it gets resolved. So please > >> check. The other thing you > >>>>> can do is to run in matlab, something like > >>>>> > >>>>> cd glmdir/contrast > >>>>> X = load('Xg.dat'); > >>>>> y = load('ocn.dat'); > >>>>> C = load('C.dat'); > >>>>> [beta rvar] = fast_glmfit(y,X); > >>>>> [F p] = fast_fratio(beta,X,rvar,C); > >>>>> p will be the p-value > >>>>> > >>>>> If you used an unsigned cluster-forming > >> threshold (ie, abs), then it is > >>>>> possible that some of the voxels are pos and > >> some are neg so that they > >>>>> average out > >>>>> > >>>>> doug > >>>>> > >>>>> > >>>>> > >>>>> > >>>>>> On 01/26/2015 09:03 AM, maaike rive wrote: > >>>>>> Dear Freesurfer experts, > >>>>>> > >>>>>> Sorry to bother you again, but I have two more > >> questions about > >>>>>> extracting (thickness/surface/GI) values from > >> a certain cluster. > >>>>>> > >>>>>> As I understood, the abs.y.ocn.dat file gives > >> the average values > >>>> for a > >>>>>> given significant cluster (e.g. a cluster > >> where there is a > >>>> significant > >>>>>> AxB interaction). > >>>>>> > >>>>>> I may be completely misunderstanding things, > >> but if I use these > >>>> values > >>>>>> in SPSS for further statistics and test the > >> same interaction (AxB), > >>>>>> than according to SPSS this interaction is > >> /not /significant > >>>>>> (corrected for the same covariates as in the > >> FSGD file). > >>>>>> > >>>>>> Could you tell me what is going wrong here? I > >> do not trust my > >>>> results now. > >>>>>> > >>>>>> Furthermore, is it possible (and if so, how?) > >> to extract the average > >>>>>> values of exactly the same cluster, but in an > >> independent group not > >>>>>> used in the analysis, for post-hoc comparisons > >> in SPSS? > >>>>>> > >>>>>> Thanks, > >>>>>> > >>>>>> Maaike > >>>>>> > >>>>>> > >>>>>> _______________________________________________ > >>>>>> Freesurfer mailing list > >>>>>> Freesurfer@nmr.mgh.harvard.edu > >> <mailto:Freesurfer@nmr.mgh.harvard.edu> > >> https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer > >>>>> > >>>>> -- > >>>>> Douglas N. Greve, Ph.D. > >>>>> MGH-NMR Center > >>>>> gr...@nmr.mgh.harvard.edu > >> <mailto:gr...@nmr.mgh.harvard.edu> > >>>>> Phone Number: 617-724-2358 > >>>>> Fax: 617-726-7422 > >>>>> > >>>>> Bugs: surfer.nmr.mgh.harvard.edu/fswiki/BugReporting > >>>>> FileDrop: https://gate.nmr.mgh.harvard.edu/filedrop2 > >> www.nmr.mgh.harvard.edu/facility/filedrop/index.html > >> > >> <http://www.nmr.mgh.harvard.edu/facility/filedrop/index.html> > >>>>> Outgoing: > >> > >> ftp://surfer.nmr.mgh.harvard.edu/transfer/outgoing/flat/greve/ > >>>>> > >>>>> _______________________________________________ > >>>>> Freesurfer mailing list > >>>>> Freesurfer@nmr.mgh.harvard.edu > >> <mailto:Freesurfer@nmr.mgh.harvard.edu> > >> https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer > >>>>> > >>>>> > >>>>> The information in this e-mail is intended only > >> for the person to > >>>> whom it is > >>>>> addressed. If you believe this e-mail was sent > >> to you in error and > >>>> the e-mail > >>>>> contains patient information, please contact the > >> Partners Compliance > >>>> HelpLine at > >>>>> http://www.partners.org/complianceline . If the > >> e-mail was sent to > >>>> you in error > >>>>> but does not contain patient information, please > >> contact the sender > >>>> and properly > >>>>> dispose of the e-mail. > >>>> > >>>> > >>>> _______________________________________________ > >>>> Freesurfer mailing list > >>>> Freesurfer@nmr.mgh.harvard.edu > >> <mailto:Freesurfer@nmr.mgh.harvard.edu> > >> https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer > >>> > >>> -- > >>> Douglas N. Greve, Ph.D. > >>> MGH-NMR Center > >>> gr...@nmr.mgh.harvard.edu > >> <mailto:gr...@nmr.mgh.harvard.edu> > >>> Phone Number: 617-724-2358 > >>> Fax: 617-726-7422 > >>> > >>> Bugs: surfer.nmr.mgh.harvard.edu/fswiki/BugReporting > >>> FileDrop: https://gate.nmr.mgh.harvard.edu/filedrop2 > >>> www.nmr.mgh.harvard.edu/facility/filedrop/index.html > >> > >> <http://www.nmr.mgh.harvard.edu/facility/filedrop/index.html> > >>> Outgoing: > >> > >> ftp://surfer.nmr.mgh.harvard.edu/transfer/outgoing/flat/greve/ > >>> > >>> _______________________________________________ > >>> Freesurfer mailing list > >>> Freesurfer@nmr.mgh.harvard.edu > >> <mailto:Freesurfer@nmr.mgh.harvard.edu> > >> https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer > >> > >> _______________________________________________ > >> Freesurfer mailing list Freesurfer@nmr.mgh.harvard.edu > >> <mailto:Freesurfer@nmr.mgh.harvard.edu> > >> https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer > >> The information in this e-mail is intended only for > >> the person to whom it is addressed. If you believe > >> this e-mail was sent to you in error and the e-mail > >> contains patient information, please contact the > >> Partners Compliance HelpLine at > >> http://www.partners.org/complianceline . If the e-mail > >> was sent to you in error but does not contain patient > >> information, please contact the sender and properly > >> dispose of the e-mail. > >> > >> > >> _______________________________________________ > >> Freesurfer mailing list > >> Freesurfer@nmr.mgh.harvard.edu > >> <mailto:Freesurfer@nmr.mgh.harvard.edu> > >> https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer > >> > >> > >> > >> _______________________________________________ Freesurfer > >> mailing list Freesurfer@nmr.mgh.harvard.edu > >> <mailto:Freesurfer@nmr.mgh.harvard.edu> > >> https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer > >> The information in this e-mail is intended only for the > >> person to whom it is addressed. If you believe this e-mail > >> was sent to you in error and the e-mail contains patient > >> information, please contact the Partners Compliance > >> HelpLine at http://www.partners.org/complianceline . If > >> the e-mail was sent to you in error but does not contain > >> patient information, please contact the sender and > >> properly dispose of the e-mail. > >> > >> > >> _______________________________________________ > >> Freesurfer mailing list > >> Freesurfer@nmr.mgh.harvard.edu > >> <mailto:Freesurfer@nmr.mgh.harvard.edu> > >> https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer > >> > >> > >> > >> _______________________________________________ Freesurfer > >> mailing list Freesurfer@nmr.mgh.harvard.edu > >> <mailto:Freesurfer@nmr.mgh.harvard.edu> > >> https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer > >> The information in this e-mail is intended only for the person > >> to whom it is addressed. If you believe this e-mail was sent > >> to you in error and the e-mail contains patient information, > >> please contact the Partners Compliance HelpLine at > >> http://www.partners.org/complianceline . If the e-mail was > >> sent to you in error but does not contain patient information, > >> please contact the sender and properly dispose of the e-mail. > >> > >> > >> _______________________________________________ > >> Freesurfer mailing list > >> Freesurfer@nmr.mgh.harvard.edu > >> <mailto:Freesurfer@nmr.mgh.harvard.edu> > >> https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer > >> > >> > >> > >> _______________________________________________ Freesurfer mailing > >> list Freesurfer@nmr.mgh.harvard.edu > >> <mailto:Freesurfer@nmr.mgh.harvard.edu> > >> https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer The > >> information in this e-mail is intended only for the person to whom > >> it is addressed. If you believe this e-mail was sent to you in > >> error and the e-mail contains patient information, please contact > >> the Partners Compliance HelpLine at > >> http://www.partners.org/complianceline . If the e-mail was sent to > >> you in error but does not contain patient information, please > >> contact the sender and properly dispose of the e-mail. > >> > >> > >> _______________________________________________ > >> Freesurfer mailing list > >> Freesurfer@nmr.mgh.harvard.edu <mailto:Freesurfer@nmr.mgh.harvard.edu> > >> https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer > >> > >> > >> > >> _______________________________________________ Freesurfer mailing > >> list Freesurfer@nmr.mgh.harvard.edu > >> https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer The > >> information in this e-mail is intended only for the person to whom it > >> is addressed. If you believe this e-mail was sent to you in error and > >> the e-mail contains patient information, please contact the Partners > >> Compliance HelpLine at http://www.partners.org/complianceline . If the > >> e-mail was sent to you in error but does not contain patient > >> information, please contact the sender and properly dispose of the e-mail. > >> > >> _______________________________________________ Freesurfer mailing > >> list Freesurfer@nmr.mgh.harvard.edu > >> https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer The > >> information in this e-mail is intended only for the person to whom it > >> is addressed. If you believe this e-mail was sent to you in error and > >> the e-mail contains patient information, please contact the Partners > >> Compliance HelpLine at http://www.partners.org/complianceline . If the > >> e-mail was sent to you in error but does not contain patient > >> information, please contact the sender and properly dispose of the e-mail. > >> > >> _______________________________________________ Freesurfer mailing > >> list Freesurfer@nmr.mgh.harvard.edu > >> https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer The > >> information in this e-mail is intended only for the person to whom it > >> is addressed. If you believe this e-mail was sent to you in error and > >> the e-mail contains patient information, please contact the Partners > >> Compliance HelpLine at http://www.partners.org/complianceline . If the > >> e-mail was sent to you in error but does not contain patient > >> information, please contact the sender and properly dispose of the e-mail. > >> > >> _______________________________________________ Freesurfer mailing > >> list Freesurfer@nmr.mgh.harvard.edu > >> https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer The > >> information in this e-mail is intended only for the person to whom it > >> is addressed. If you believe this e-mail was sent to you in error and > >> the e-mail contains patient information, please contact the Partners > >> Compliance HelpLine at http://www.partners.org/complianceline . If the > >> e-mail was sent to you in error but does not contain patient > >> information, please contact the sender and properly dispose of the e-mail. > >> > >> > >> _______________________________________________ > >> Freesurfer mailing list > >> Freesurfer@nmr.mgh.harvard.edu > >> https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer > > > > -- > > Douglas N. Greve, Ph.D. > > MGH-NMR Center > > gr...@nmr.mgh.harvard.edu > > Phone Number: 617-724-2358 > > Fax: 617-726-7422 > > > > Bugs: surfer.nmr.mgh.harvard.edu/fswiki/BugReporting > > FileDrop: https://gate.nmr.mgh.harvard.edu/filedrop2 > > www.nmr.mgh.harvard.edu/facility/filedrop/index.html > > Outgoing: ftp://surfer.nmr.mgh.harvard.edu/transfer/outgoing/flat/greve/ > > > > _______________________________________________ > > Freesurfer mailing list > > Freesurfer@nmr.mgh.harvard.edu > > https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer > > _______________________________________________ > Freesurfer mailing list > Freesurfer@nmr.mgh.harvard.edu > https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer
_______________________________________________ Freesurfer mailing list Freesurfer@nmr.mgh.harvard.edu https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer The information in this e-mail is intended only for the person to whom it is addressed. If you believe this e-mail was sent to you in error and the e-mail contains patient information, please contact the Partners Compliance HelpLine at http://www.partners.org/complianceline . If the e-mail was sent to you in error but does not contain patient information, please contact the sender and properly dispose of the e-mail.
