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Dear Doug,

Thanks for your quick response.

I am now able to get roifile (i.e., Volume_Subcortical) from
asegstats2table, which shows cortical volume values of all the
subcortical regions. Next when I run:


mri_glmfit --table Volume_Subcortical --fsgd Subs.fsgd dods --C
Corr-cor.mtx --surf fsaverage lh --cortex --glmdir lh.sub_vol.glmdir
(everything else here is same as I used for cortical volume calculations,
but now just replaced --y volumefile with --table roifile)


Now, I get following in the terminal window:


Measure:volume                    Corr-cor

Left-Lateral-Ventricle             -3.025

Left-Inf-Lat-Vent                  -2.273

Left-Cerebellum-White-Matter       -0.407

Left-Cerebellum-Cortex              0.027

Left-Thalamus-Proper                0.280

Left-Caudate                        0.618

Left-Putamen                        0.038

Left-Pallidum                      -0.383

3rd-Ventricle                      -0.839

4th-Ventricle                      -0.465

Brain-Stem                         -0.710

Left-Hippocampus                    0.225

Left-Amygdala                       0.342

CSF                                -0.189

Left-Accumbens-area                -0.007

Left-VentralDC                     -0.950

Left-vessel                        -0.146

Left-choroid-plexus                -0.788

Right-Lateral-Ventricle            -1.839

Right-Inf-Lat-Vent                 -1.150

Right-Cerebellum-White-Matter      -0.537

Right-Cerebellum-Cortex             0.025

Right-Thalamus-Proper              -0.015

Right-Caudate                       0.197

Right-Putamen                       0.045

Right-Pallidum                     -0.278

Right-Hippocampus                  -0.222

Right-Amygdala                     -0.204

Right-Accumbens-area                0.226

Right-VentralDC                    -1.486

Right-vessel                       -1.099

Right-choroid-plexus               -0.675

5th-Ventricle                       0.187

WM-hypointensities                 -0.300

Left-WM-hypointensities             0.000

Right-WM-hypointensities            0.000

non-WM-hypointensities              0.880

Left-non-WM-hypointensities         0.000

Right-non-WM-hypointensities        0.000

Optic-Chiasm                       -0.458

CC_Posterior                       -0.192

CC_Mid_Posterior                   -0.208

CC_Central                         -0.061

CC_Mid_Anterior                     0.067

CC_Anterior                        -1.261

BrainSegVol                         0.002

BrainSegVolNotVent                  0.079

BrainSegVolNotVentSurf              0.081

lhCortexVol                         0.239

rhCortexVol                         0.384

CortexVol                           0.310

lhCerebralWhiteMatterVol           -0.125

rhCerebralWhiteMatterVol           -0.045

CerebralWhiteMatterVol             -0.084

SubCortGrayVol                     -0.028

TotalGrayVol                        0.268

SupraTentorialVol                   0.016

SupraTentorialVolNotVent            0.097

SupraTentorialVolNotVentVox         0.100

MaskVol                             0.154

BrainSegVol-to-eTIV                 0.011

MaskVol-to-eTIV                     0.339

lhSurfaceHoles                      0.092

rhSurfaceHoles                     -0.023

SurfaceHoles                        0.035

EstimatedTotalIntraCranialVol       0.019


I assume I am running this correctly up to this point. But after this, when
I run:


mri_glmfit-sim --glmdir lh.sub_vol.glmdir --cache 3 abs --cwp 0.05 --2spaces

ERROR: cannot find lh.sub_vol.glmdir/fwhm.dat


This is because replacing --y volumefile with --table roifile in
mri_glmfit doesn't
generate a fwhm.dat file. I guess I am doing something wrong with may be
mri_glmfit (or may be mri_glmfit-sim command.


Thanks.

On Tue, Jun 30, 2020 at 9:13 AM Douglas N. Greve <dgr...@mgh.harvard.edu>
wrote:

>
>
> On 6/29/2020 8:45 PM, Martin Juneja wrote:
>
>         External Email - Use Caution
> Hello experts,
>
> I am following these instructions
> https://surfer.nmr.mgh.harvard.edu/fswiki/FsTutorial/GroupAnalysis to
> analyze the association between IQ and whole brain cortical thickness of
> brain areas (which by default uses Desikan atlas of 34 regions).
>
> I was wondering how:
> (1). To do the similar analysis to identify sub-cortical regions which
> show significant association between thickness and IQ.
>
> I assume you mean volume since subcortical structures do not have
> thickness. You would use mri_glmfit the same as with the whole brain above,
> but instead of --y thicknessfile, you would use --table roifile, where
> roifile is one of the outputs from asegstats2table or aparcstats2table. See
> https://surfer.nmr.mgh.harvard.edu/fswiki/FsTutorial/AnatomicalROI
>
> (2). To use other atlases here i.e., replace Desikan atlas with 7 or 17
> network Yeo atlas to identify which network shows the association with IQ.
>
> You would have to map the Yeo atlas into the individual subject, then run
> mris_anatomical_stats. I think Yeo has a page on this. Then use
> aparcstats2table and mri_glmfit
>
>
> I know how to extract thickness etc from sub-cortical areas (i.e., aseg
> stats) and use Yeo atlas outside these instructions, but I am not sure how
> to do this in above described instructions i.e., replace Desikan with
> sub-cortical and Yeo atlases etc.
>
> Any help would be really appreciated.
>
> Thanks !
>
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