Hi Louis,

It didn't work either. This is what shows up in the terminal after  
running mris_anatomical_stats:

mris_anatomical_stats -mgz -f ../stats/rh.aparcpial -b -a  
./rh.aparc.annot -c ./aparc.ctab FERNANDORODRIGUES rh pial
INFO: assuming MGZ format for volumes.
computing statistics for each annotation in ./rh.aparc.annot.
reading volume /home/user/visao/Freesurfer//FERNANDORODRIGUES/mri/wm.mgz...
reading input surface  
/home/user/visao/Freesurfer//FERNANDORODRIGUES/surf/rh.pial...
reading input pial surface  
/home/user/visao/Freesurfer//FERNANDORODRIGUES/surf/rh.pial...
reading input white surface  
/home/user/visao/Freesurfer//FERNANDORODRIGUES/surf/rh.white...
reading colortable from annotation file...
colortable with 36 entries read (originally  
/autofs/space/terrier_001/users/nicks/freesurfer/average/colortable_desikan_killiany.txt)
Saving annotation colortable ./aparc.ctab

table columns are:
     number of vertices
     total surface area (mm^2)
     total gray matter volume (mm^3)
     average cortical thickness +- standard deviation (mm)
     integrated rectified mean curvature
     integrated rectified Gaussian curvature
     folding index
     intrinsic curvature index
     structure name

  1272    793   2092  2.485 0.342     0.141     0.042       24     2.4  
  bankssts
  1184    957   2200  2.419 0.757     0.226     0.187      248    11.5  
  caudalanteriorcingulate
  3222   2408   5307  2.324 0.512     0.136     0.040       58     4.8  
  caudalmiddlefrontal
  2468   1735   2917  1.798 0.388     0.150     0.064       54     5.2  cuneus
   504    582   1801  3.807 0.663     0.256     0.084       24     2.0  
  entorhinal
  4892   3757   9658  2.696 0.715     0.183     0.073      167    15.0  
  fusiform
  8153   6383  13887  2.315 0.543     0.160     0.049      179    16.6  
  inferiorparietal
  4885   3695  10298  2.929 0.668     0.171     0.069      187    14.8  
  inferiortemporal
  1470   1045   2169  2.137 0.673     0.200     0.129      154     8.8  
  isthmuscingulate
  6612   4848  10068  2.208 0.530     0.161     0.058      217    15.6  
  lateraloccipital
  3665   2871   6467  2.380 0.684     0.186     0.067      123    11.1  
  lateralorbitofrontal
  4593   3224   5598  1.811 0.528     0.170     0.072      165    13.4  lingual
  2623   2020   4262  2.290 0.776     0.191     0.072      179     8.1  
  medialorbitofrontal
  4570   3991  10068  2.785 0.605     0.169     0.052      154    10.0  
  middletemporal
  1041    802   1923  2.621 0.705     0.161     0.058       20     2.4  
  parahippocampal
  2067   1415   2808  2.156 0.580     0.115     0.024       20     2.1  
  paracentral
  1534   1130   2779  2.551 0.445     0.149     0.042       29     2.5  
  parsopercularis
  1366   1265   2718  2.458 0.607     0.184     0.049       23     2.9  
  parsorbitalis
  2166   1826   3699  2.258 0.484     0.166     0.048       34     4.8  
  parstriangularis
  2637   1647   2528  1.563 0.436     0.137     0.043       47     4.7  
  pericalcarine
  6180   4524   7746  1.879 0.596     0.122     0.030       62     7.3  
  postcentral
  1694   1270   2783  2.265 0.721     0.188     0.088       64     7.6  
  posteriorcingulate
  7118   5162  11283  2.336 0.590     0.115     0.027       67     8.4  
  precentral
  5554   4071   8657  2.206 0.527     0.149     0.051      108    12.8  
  precuneus
   975    856   2003  2.660 0.591     0.167     0.063       27     2.8  
  rostralanteriorcingulate
  8524   6942  13736  2.121 0.581     0.163     0.047      168    16.2  
  rostralmiddlefrontal
  9820   7927  17866  2.426 0.605     0.150     0.043      144    16.4  
  superiorfrontal
  8910   6920  12666  1.952 0.561     0.134     0.033      102    11.5  
  superiorparietal
  5164   4064   9880  2.602 0.579     0.141     0.041      129     8.5  
  superiortemporal
  4538   3307   6832  2.129 0.591     0.140     0.035       63     6.4  
  supramarginal
   395    426    864  2.488 0.541     0.199     0.057        6     0.9  
  frontalpole
   612    699   2018  3.610 0.559     0.213     0.073       17     2.2  
  temporalpole
   479    330    680  2.330 0.353     0.110     0.024        3     0.5  
  transversetemporal
  3442   1950   6183  2.886 0.890     0.376     1.131      154   291.0  insula
[user@localhost label]$ aparcstats2table --hemi rh --subjects  
FERNANDORODRIGUES --parc aparcpial --meas area -t  
rh_FERNANDORODRIGUES.aparc.surface.pial.txt
Number of subjects : 1
Building the table..
ERROR: cannot find  
/home/user/visao/Freesurfer/FERNANDORODRIGUES/stats/rh.aparcpial.stats
Use --skip flag if you want to continue in such cases


Maybe is the mris_anatomical_stats that has something wrong? I've been  
using the command for Brodmann Areas and just tried to adapt it to  
aparc. For BA I've also had to run label2label and had to create a new  
BA.annot but that was because I had to get the thresholded BA values,  
I think this doesn't apply to aparc. From aparc I only want to get  
surface area based on the pial surface.

Thank you,
Andreia


Quoting Louis Nicholas Vinke <vi...@nmr.mgh.harvard.edu>:

> Hi Andreia,
> If you remove the underscore from aparc_pial for the --parc flag in the
> aparcstats2table command, that should do the trick.
> -Louis
>
> On Wed, 26 Mar 2014, _andre...@sapo.pt wrote:
>
>> Hello list,
>>
>> I'm trying to get aparc surface area from the pial surface in a table
>> using aparcstats2table but I'm not being able to...
>>
>> I've already created the file aparc_pial.stats inside the stats dir
>> running the following command line from the subjects's label dir:
>>
>> mris_anatomical_stats -mgz -f ../stats/rh.aparcpial -b -a
>> ./rh.aparc.annot -c ./aparc.ctab subjectname rh pial
>>
>> And if I open the aparc_pial.stats file the surfaces are bigger then
>> in aparc (white matter).
>>
>> But when I try to get the table using:
>>
>> aparcstats2table --hemi rh --subjects subjectname --parc aparc_pial
>> --meas area -t rh_aparc_surface_pial.txt
>>
>> I get the message:
>>
>> Number of subjects : 1
>> Building the table..
>> ERROR: cannot find
>> /home/user/visao/Freesurfer/subjectname/stats/rh.aparc_pial.stats
>> Use --skip flag if you want to continue in such cases
>>
>> What's wrong?
>>
>> Thank you,
>> Andreia
>>
>>
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>>
>>
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