Try using this version of mri_segstats
ftp://surfer.nmr.mgh.harvard.edu/transfer/outgoing/flat/greve/mri_segstats
doug
On 03/20/2013 01:10 PM, Laura M. Tully wrote:
> the mri_segstats command did not work - below is the command and 
> output. It looks like it is searching for the .annot file in fsaverage 
> directory. How do I tell it to use fsaverage and to look for the 
> .annot elsewhere?
>
>         cd glmdir
>
>         mri_segstats --i beta.mgh --annot fsaverage lh
>         ./SZcontrast_oneGrp_oneBehVar_4CVs/cache.th13.abs.sig.ocn.annot 
> --avgwf
>         lh.SZ_CPT_area_betas.dat --excludeid 0
>
>
>         $Id: mri_segstats.c,v 1.75.2.2 2011/04/27 22:18:58 nicks Exp $
>
>         cwd
>
>         cmdline mri_segstats --i beta.mgh --annot fsaverage lh
>         ./SZcontrast_oneGrp_oneBehVar_4CVs/cache.th13.abs.sig.ocn.annot 
> --avgwf
>         lh.SZ_CPT_area_betas.dat --excludeid 0
>
>         sysname  Linux
>
>         hostname ncfws12.rc.fas.harvard.edu
>         <http://ncfws12.rc.fas.harvard.edu>
>
>         machine  x86_64
>
>         user     ltully
>
>         Constructing seg from annotation
>
>         could not read annot file
>         
> /ncf/snp/04/SCORE/freesurfer_analysis/fsaverage/label/lh../SZcontrast_oneGrp_oneBehVar_4CVs/cache.th13.abs.sig.ocn.annot.annot
>
>         No such file or directory
>
>
> Thanks!
>
> LT
>
> On Wed, Mar 20, 2013 at 9:54 AM, Douglas N Greve 
> <gr...@nmr.mgh.harvard.edu <mailto:gr...@nmr.mgh.harvard.edu>> wrote:
>
>
>     On 03/20/2013 12:09 PM, Laura M. Tully wrote:
>
>         Sorry -  meant to respond to list.
>
>         Thanks for the response Doug - I have a few follow up
>         questions I hope you can clarify:
>
>               * is the xxx.ocn.annot file created by mri_glmfit-sim
>         considered
>                 a "label" by freesurfer?
>
>     It is an annotation
>
>
>               * or does it need to be converted to a label before I
>         can use
>                 mri_segstats to extract the betas from the cluster(s)
>         in the
>                 xxx.ocn.annot?
>
>         No
>
>
>
>               * I tried using the following command line to attempt to
>         extract
>                 the betas from the cluster annotation file created by
>                 mri_glmfit-sim, but received an error:
>
>             mri_segstats --i beta.mgh --annot fsaverage hemi
>             contrast/xxx.ocn.annot --avgwf avgwf.dat
>
>     That looks correct. Did it work? Add --excludeid 0 to keep it from
>     reporting on non-clusters
>
>
>
>               * how does one convert an xxx.ocn.annot file to a label?
>
>     If needed, use mri_annotation2label
>
>
>               * If I have run 3 different glms looking at the
>         relationship
>
>                 between thickness and 3 different behavioral
>         variables, and
>                 found 1 (or more) cluster in each glm using
>         mri_glmfit-sim can
>                 I create 1 annotation/label with all the clusters from the
>                 separate glms and then extract the betas from that one
>                 annotation using mri_segstats? Or do I need to treat
>         each glm
>                 separately?
>
>     It is probably easiest if you treat each glm separately. You can
>     break the annotations into separate labels, then recombine the
>     labels into another annotation (mris_label2annot), but it is a lot
>     of work.
>
>
>              *
>
>
>               * I saw on the listserv some references to matlab
>         functions that
>
>                 can calculate r square and partial correlations for
>         glms with
>                 more than one predictor variable (e.g pcc between
>         thickness
>                 and behavioral variable 1; pcc between thickness and
>                 behavioral variable2; Rsq for overall model) but I
>         could not
>                 find the .m scripts for the functions (MRIread
>                 or fast_glm_pcc?) - would these functions be
>         appropriate and
>                 if so where might I find them?
>
>     Yes. They are in $FREESURFER_HOME/matlab and
>     $FREESURFER_HOME/fsfast/toolbox
>     doug
>
>
>              *
>
>
>             Thanks in advance for your help!
>
>             Laura.
>
>
>             On Wed, Mar 20, 2013 at 8:29 AM, Douglas N Greve
>             <gr...@nmr.mgh.harvard.edu
>         <mailto:gr...@nmr.mgh.harvard.edu>
>         <mailto:gr...@nmr.mgh.harvard.edu
>         <mailto:gr...@nmr.mgh.harvard.edu>>> wrote:
>
>
>                 On 03/20/2013 10:17 AM, Laura M. Tully wrote:
>                 > Hi,
>                 >
>                 > I wanted to re-post my questions from a couple of
>         days ago
>                 below, but
>                 > with some more specific questions following a search
>         through the
>                 > archives.
>                 >
>                 > I want to be able to extract the beta values from a
>         cluster
>                 identified
>                 > using mc-z in a group by behavioral variable
>         interaction so
>                 that I can
>                 > 1) plot the relationship of thickness to behavioral
>         variable
>                 data by
>                 > group in that cluster, 2) conduct post hoc tests to
>         examine the
>                 > interaction, and 3) calculate the Rsquare and partial
>                 correlations for
>                 > each variable in the glm (i.e. how much variation in
>                 thickness is
>                 > explained by my behavioral variable).
>                 >
>                 > To extract the beta values from a cluster identified
>         by mc-z
>                 would I
>                 > treat the cluster like a label and use mri_segstats to
>                 extract the
>                 > beta weights from the cluster? Would I need to make
>         a label
>                 of all the
>                 > clusters that I want to do this for first?
>                 You can do it label by label. Or, if the annotation
>         created by
>                 mri_glmfit-sim has all the clusters you want, you can
>         use that
>                 (also in
>                 mri_segstats). You can also create an annotation from
>                 individual labels
>                 with mris_label2annot.
>                 >
>                 > Is there a way to calculate the basic statistics for
>         the glm and
>                 > extract in table form? i.e. Fs and ps for peaks of each
>                 cluster? What
>                 > about Rsquare, or the correlation between thickness
>         and my
>                 behavioral
>                 > variable in the clusters? or would I need to compute
>         these
>                 outside of
>                 > freesurfer using the extracted betas?
>                 You will need to do it outside of FS. What are Fs and ps?
>                 doug
>
>                 >
>                 > Thank you!
>                 >
>                 > Laura.
>                 >
>                 >
>                 >
>                 >
>                 >
>                 >
>                 > On Mon, Mar 18, 2013 at 5:05 PM, Laura M. Tully
>                 > <tully.la...@googlemail.com
>         <mailto:tully.la...@googlemail.com>
>                 <mailto:tully.la...@googlemail.com
>         <mailto:tully.la...@googlemail.com>>
>                 <mailto:tully.la...@googlemail.com
>         <mailto:tully.la...@googlemail.com>
>
>                 <mailto:tully.la...@googlemail.com
>         <mailto:tully.la...@googlemail.com>>>> wrote:
>                 >
>                 >     Hi Freesurfer experts,
>                 >
>                 >     I'm hoping you can help me understand how to
>         interpret
>                 >     interactions in clusters identified in whole brain
>                 analysis using
>                 >     glmfit and glmfit-sim. Below I describe what
>         I've done
>                 and what
>                 >     I'd like to be able to do. Any suggestions would
>         be most
>                 appreciated!
>                 >
>                 >       * I have two groups (patients, controls) and a
>         behavioral
>                 >         variable of interest (social functioning). I am
>                 interested in
>                 >         cortical thickness differences between
>         groups (main
>                 effect of
>                 >         group), whether cortical thickness relate to
>         social
>                 >         functioning across the group (main effect of
>         social
>                 >         functioning), and whether this relationship
>         differs
>                 by group
>                 >         (group x social functioning interaction).
>                 >       * I ran whole brain analysis using mri_glmfit with
>                 group and
>                 >         functioning as variables of interest whilst
>         controlling
>                 >         for/regressing out gender, age, and mean
>         thickness.
>                 i.e. 4
>                 >         classes (conmale,confemale, ptmale,
>         ptfemale) and 3
>                 continuous
>                 >         variables (age, AvgThickness, Functioning) = 16
>                 regressors.
>                 >       * I tested the group x functioning interaction
>         with the
>                 >         following contrast - is it correct?
>                 >
>                 >     0000000000000.50.5-0.5-0.5
>                 >
>                 >       * I then ran mri_glmfit-sim to identify
>         clusters that
>                 survive
>                 >         multiple comparisons. This revealed 4
>         clusters (3 in
>                 LH; 1 in
>                 >         RH) that represent regions showing
>         significant group x
>                 >         functioning interaction.
>                 >       * I visualized the clusters in tksurfer, and by
>                 loading the
>                 >         y.fsgd file was able to visualize the
>         plotted data
>                 to get a
>                 >         sense of the interaction, but this is as
>         much as I
>                 know in
>                 >         terms of how to examine interactions in the
>         cluster
>                 data......
>                 >
>                 >     My specifc questions include:
>                 >
>                 >       * I understand that the values in
>         xxx.sig.cluster.mgh
>                 overlay
>                 >         reflect log10 p values, the signs of which
>         indicate the
>                 >         direction of the relationship (i.e. -3 =
>         negative
>                 correlation
>                 >         between thickness & variable) but I'm not
>         sure how to
>                 >         interpret this in the context of an
>         interaction with
>                 group?
>                 >       * I understand that the values in xxx.y.ocn.dat
>                 contain the
>                 >         average thickness value for each subject in that
>                 cluster and
>                 >         that in a simple between groups test this
>         data could
>                 be used
>                 >         to conduct post hoc t-tests to show the
>         direction of the
>                 >         difference, but again I'm not sure how to
>         use this
>                 data in the
>                 >         context of the interaction. What do the values
>                 represent in a
>                 >         group x variable interaction?
>                 >
>                 >     Ideally, I'd like to extract the contrast
>         estimates for each
>                 >     subject in the group x functioning contrast and
>         plot it
>                 in another
>                 >     program and conduct pairwise comparisons
>         (t-tests) in
>                 order to get
>                 >     a better understanding of the interaction). I'm
>         not sure
>                 how to do
>                 >     this - is it possible? My thinking is that I do
>                 something similar
>                 >     in fMRI analysis in spm where I can plot the
>         contrasts in a
>                 >     significant cluster and then extract both the
>         average
>                 contrast
>                 >     estimates for each group and the contrast
>         estimates for each
>                 >     individual subject.
>                 >
>                 >     Thanks in advance!
>                 >
>                 >     Laura.
>                 >
>                 >
>                 >     --
>                 >     --
>                 >     Laura M. Tully, MA
>                 >     Social Neuroscience & Psychopathology, Harvard
>         University
>                 >     Center for the Assessment and Prevention of
>         Prodromal
>                 States, UCLA
>                 >     Semel Institute of Neuroscience
>                 > ltu...@mednet.ucla.edu
>         <mailto:ltu...@mednet.ucla.edu> <mailto:ltu...@mednet.ucla.edu
>         <mailto:ltu...@mednet.ucla.edu>>
>                 <mailto:ltu...@mednet.ucla.edu
>         <mailto:ltu...@mednet.ucla.edu> <mailto:ltu...@mednet.ucla.edu
>         <mailto:ltu...@mednet.ucla.edu>>>
>                 > ltu...@fas.harvard.edu
>         <mailto:ltu...@fas.harvard.edu> <mailto:ltu...@fas.harvard.edu
>         <mailto:ltu...@fas.harvard.edu>>
>                 <mailto:ltu...@fas.harvard.edu
>         <mailto:ltu...@fas.harvard.edu> <mailto:ltu...@fas.harvard.edu
>         <mailto:ltu...@fas.harvard.edu>>>
>                 > 310-267-0170 <tel:310-267-0170> <tel:310-267-0170
>         <tel:310-267-0170>> <tel:310-267-0170 <tel:310-267-0170>
>
>                 <tel:310-267-0170 <tel:310-267-0170>>>
>                 >     --
>                 >     My musings as a young clinical scientist:
>                 > http://theclinicalbrain.blogspot.com/
>                 >     Follow me on Twitter: @tully_laura
>                 >
>                 >
>                 >
>                 >
>                 > --
>                 > --
>                 > Laura M. Tully, MA
>                 > Social Neuroscience & Psychopathology, Harvard
>         University
>                 > Center for the Assessment and Prevention of Prodromal
>                 States, UCLA
>                 > Semel Institute of Neuroscience
>                 > ltu...@mednet.ucla.edu
>         <mailto:ltu...@mednet.ucla.edu> <mailto:ltu...@mednet.ucla.edu
>         <mailto:ltu...@mednet.ucla.edu>>
>                 <mailto:ltu...@mednet.ucla.edu
>         <mailto:ltu...@mednet.ucla.edu> <mailto:ltu...@mednet.ucla.edu
>         <mailto:ltu...@mednet.ucla.edu>>>
>                 > ltu...@fas.harvard.edu
>         <mailto:ltu...@fas.harvard.edu> <mailto:ltu...@fas.harvard.edu
>         <mailto:ltu...@fas.harvard.edu>>
>                 <mailto:ltu...@fas.harvard.edu
>         <mailto:ltu...@fas.harvard.edu> <mailto:ltu...@fas.harvard.edu
>         <mailto:ltu...@fas.harvard.edu>>>
>
>                 > 310-267-0170 <tel:310-267-0170> <tel:310-267-0170
>         <tel:310-267-0170>>
>                 > --
>                 > My musings as a young clinical scientist:
>                 > http://theclinicalbrain.blogspot.com/
>                 > Follow me on Twitter: @tully_laura
>                 >
>                 >
>                 > _______________________________________________
>                 > Freesurfer mailing list
>                 > Freesurfer@nmr.mgh.harvard.edu
>         <mailto:Freesurfer@nmr.mgh.harvard.edu>
>                 <mailto: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>
>         <mailto:gr...@nmr.mgh.harvard.edu
>         <mailto:gr...@nmr.mgh.harvard.edu>>
>                 Phone Number: 617-724-2358 <tel:617-724-2358>
>         <tel:617-724-2358 <tel:617-724-2358>>
>                 Fax: 617-726-7422 <tel:617-726-7422> <tel:617-726-7422
>         <tel:617-726-7422>>
>
>                 Bugs: surfer.nmr.mgh.harvard.edu/fswiki/BugReporting
>         <http://surfer.nmr.mgh.harvard.edu/fswiki/BugReporting>
>                 <http://surfer.nmr.mgh.harvard.edu/fswiki/BugReporting>
>                 FileDrop:
>         www.nmr.mgh.harvard.edu/facility/filedrop/index.html
>         <http://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>
>                 <mailto: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.
>
>
>
>
>             --     --
>             Laura M. Tully, MA
>             Social Neuroscience & Psychopathology, Harvard University
>             Center for the Assessment and Prevention of Prodromal
>         States, UCLA
>             Semel Institute of Neuroscience
>         ltu...@mednet.ucla.edu <mailto:ltu...@mednet.ucla.edu>
>         <mailto:ltu...@mednet.ucla.edu <mailto:ltu...@mednet.ucla.edu>>
>         ltu...@fas.harvard.edu <mailto:ltu...@fas.harvard.edu>
>         <mailto:ltu...@fas.harvard.edu <mailto:ltu...@fas.harvard.edu>>
>         310-267-0170 <tel:310-267-0170> <tel:310-267-0170
>         <tel:310-267-0170>>
>             --     My musings as a young clinical scientist:
>         http://theclinicalbrain.blogspot.com/
>             Follow me on Twitter: @tully_laura
>
>
>
>
>         -- 
>         --
>         Laura M. Tully, MA
>         Social Neuroscience & Psychopathology, Harvard University
>         Center for the Assessment and Prevention of Prodromal States,
>         UCLA Semel Institute of Neuroscience
>         ltu...@mednet.ucla.edu <mailto:ltu...@mednet.ucla.edu>
>         <mailto:ltu...@mednet.ucla.edu <mailto:ltu...@mednet.ucla.edu>>
>         ltu...@fas.harvard.edu <mailto:ltu...@fas.harvard.edu>
>         <mailto:ltu...@fas.harvard.edu <mailto:ltu...@fas.harvard.edu>>
>         310-267-0170 <tel:310-267-0170>
>         -- 
>         My musings as a young clinical scientist:
>         http://theclinicalbrain.blogspot.com/
>         Follow me on Twitter: @tully_laura
>
>
>     -- 
>     Douglas N. Greve, Ph.D.
>     MGH-NMR Center
>     gr...@nmr.mgh.harvard.edu <mailto:gr...@nmr.mgh.harvard.edu>
>     Phone Number: 617-724-2358 <tel:617-724-2358>
>     Fax: 617-726-7422 <tel:617-726-7422>
>
>     Bugs: surfer.nmr.mgh.harvard.edu/fswiki/BugReporting
>     <http://surfer.nmr.mgh.harvard.edu/fswiki/BugReporting>
>     FileDrop: 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/
>
>
>
>
> -- 
> --
> Laura M. Tully, MA
> Social Neuroscience & Psychopathology, Harvard University
> Center for the Assessment and Prevention of Prodromal States, UCLA 
> Semel Institute of Neuroscience
> ltu...@mednet.ucla.edu <mailto:ltu...@mednet.ucla.edu>
> ltu...@fas.harvard.edu <mailto:ltu...@fas.harvard.edu>
> 310-267-0170
> -- 
> My musings as a young clinical scientist: 
> http://theclinicalbrain.blogspot.com/
> Follow me on Twitter: @tully_laura

-- 
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: 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

Reply via email to