External Email - Use Caution Hi Douglas,
Yes, I compared the eTIV values in the SPSS and in the individual aseg.stats files and I noticed that Freesurfer export this kind of measures with a precision of 6 decimals (eg. 1418761.222904) The problem is that when I send these values from the txt (that contain all the measures of the aseg.stats file) to SPSS. I will try to send the data from the txt to the SPSS without any distortion in the number of decimals. Any help will be appreciated. Best, El jue., 6 sept. 2018 a las 20:16, Douglas N. Greve (<dgr...@mgh.harvard.edu>) escribió: > Canyou give more info on how you arrived at those numbers? Eg, are those > the numbers after you imported into SPSS? If you look in an individual's > aseg.stats file, do you see the same value? > > On 09/06/2018 12:41 PM, Miguel Ángel Rivas Fernández wrote: > > > > External Email - Use Caution > > > > Hello Freesurfer developers, > > > > > > Did hoy have chance to read this question?. > > > > Thank you very much for your help! > > > > > > Best regards, > > > > ---------- Forwarded message --------- > > From: *Miguel Ángel Rivas Fernández* <miguelrivasf...@gmail.com > > <mailto:miguelrivasf...@gmail.com>> > > Date: mar., 4 sept. 2018 20:37 > > Subject: strange eTIV values > > To: Freesurfer support list <freesurfer@nmr.mgh.harvard.edu > > <mailto:freesurfer@nmr.mgh.harvard.edu>> > > > > > > > > Hello Freesurfer experts, > > > > > > When I exported the Destrieux and Desikian-Killiany volume values from > > Freesurfer to SPSS I obtained "strange" eTIV values with 16 digits as > > follows: > > > > 101,632,104,008.0000 > > 134,253,072,953.0000 > > 155,967,056,944.0000 > > 142,085,122,028.0000 > > 181,105,664,397.0000 > > 118,051,287,519.0000 > > 896,135,067,103.0000 > > > > With how many decimals Freesurfer exports the eTIV values ?, that is, > > what is the precision of this measure? I do not know how many decimals > > this measure has. > > > > Another doubt, it is necessary to make some kind of numerical > > transformation on the eTIV values before including it as a covariate > > in the statistical analysis (for example, a logarithmic transformation). > > > > > > Best, > > > > -- > > *Miguel Ángel Rivas Fernández* > > > > > > _______________________________________________ > > 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. > -- *Miguel Ángel Rivas Fernández*
_______________________________________________ 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.