> From:
r_maaike@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"
<greve@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_maaike@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_maaike@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_maaike@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:
greve@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:
greve@nmr.mgh.harvard.edu
<mailto:greve@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:
greve@nmr.mgh.harvard.edu
<mailto:greve@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:
greve@nmr.mgh.harvard.edu
> >>
<mailto:greve@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_maaike@hotmail.com
<mailto:r_maaike@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:
greve@nmr.mgh.harvard.edu
> >>
<mailto:greve@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:
greve@nmr.mgh.harvard.edu
> >>
<mailto:greve@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
> >>>>>
greve@nmr.mgh.harvard.edu
> >>
<mailto:greve@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
> >>>
greve@nmr.mgh.harvard.edu
> >>
<mailto:greve@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
> >
greve@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