Hi Bruce,

The aseg.mgz may be precisely what I was looking for. Good to know. 

Other regions of interest include the following for our project:

17  Left-Hippocampus                        220 216 20  0
53  Right-Hippocampus                       220 216 20  0
415 AIPS_AIP_l                              1   225 176 0
416 AIPS_AIP_r                              1   225 176 0
417 AIPS_VIP_l                              200 2   100 0
418 AIPS_VIP_r                              200 2   100 0
419 IPL_PFcm_l                              5   200 90  0
420 IPL_PFcm_r                              5   200 90  0
421 IPL_PF_l                                100 5   200 0
422 IPL_PFm_l                               25  255 100 0
423 IPL_PFm_r                               25  255 100 0
424 IPL_PFop_l                              230 7   100 0
425 IPL_PFop_r                              230 7   100 0
426 IPL_PF_r                                100 5   200 0
427 IPL_PFt_l                               150 10  200 0
428 IPL_PFt_r                               150 10  200 0
429 IPL_PGa_l                               175 10  176 0
430 IPL_PGa_r                               175 10  176 0
431 IPL_PGp_l                               10  100 255 0
432 IPL_PGp_r                               10  100 255 0
433 Visual_V3d_l                            150 45  70  0
434 Visual_V3d_r                            150 45  70  0
435 Visual_V4_l                             45  200 15  0
436 Visual_V4_r                             45  200 15  0
437 Visual_V5_b                             227 45  100 0
438 Visual_VP_l                             227 45  100 0
439 Visual_VP_r                             227 45  100 0

From my understanding, these regions aren't in any default segmentation, so it would be a luxury to have them but I understand if this is impossible:

8001  Thalamus-Anterior                                 74  130 181 0
8002  Thalamus-Ventral-anterior                         242 241 240 0
8003  Thalamus-Lateral-dorsal                           206 65  78  0
8004  Thalamus-Lateral-posterior                        120 21  133 0
8005  Thalamus-Ventral-lateral                          195 61  246 0
8006  Thalamus-Ventral-posterior-medial                 3   147 6   0
8007  Thalamus-Ventral-posterior-lateral                220 251 163 0
8008  Thalamus-intralaminar                             232 146 33  0
8009  Thalamus-centromedian                             4   114 14  0
8010  Thalamus-mediodorsal                              121 184 220 0
8011  Thalamus-medial                                   235 11  175 0
8012  Thalamus-pulvinar                                 12  46  250 0
8013  Thalamus-lateral-geniculate                       203 182 143 0
8014  Thalamus-medial-geniculate                        42  204 167 0

Thank you Bruce!

Best,
Jessica

On Wed, Nov 29, 2017 at 11:39 AM, Bruce Fischl <fischl@nmr.mgh.harvard.edu> wrote:
Hi Jessica

it depends which ones you mean. Thalamus we label in the aseg.mgz, although for some reason the CMA called it "thalamus proper" so that is the index you should use (10 instead of 9 for left). What other labels do you mean?

Bruce


On Wed, 29 Nov 2017, Jessica Huang wrote:

Hi Bruce,
Ah! I found these regions (ex. the thalamus) in the FreeSurferColorLUT.txt
lookup table but otherwise not in each subject's aseg/apar/label dir. Would
you have any suggestions for how to extract a timecourse for the thalamus or
the hippocampus? Did I miss a step? I have labels for the following regions
for all subjects:

BA1
BA2
BA3a
BA3b
BA4a
BA4p
BA6
BA44
BA45
cortex
entorhinal
medial wall
MT
perirhinal
ribbon
V1
V2

As a correction, I misclassified in my initial email - I do have the label
for BA6.

Thank you for your insight!!

Best,
Jessica

On Wed, Nov 29, 2017 at 10:01 AM, Bruce Fischl <fischl@nmr.mgh.harvard.edu>
wrote:
      Hi Jessica

      not sure I understand, but I don't think so. If we didn't label
      it in the aseg/aparc/label dir then how would you find it? Or do
      you mean manually draw it? That is possible.

      Bruce
      On Wed, 29 Nov 2017, Jessica Huang wrote:

      Hi Freesurfer Experts,
      Can I extract time courses for regions without labels in
      the subject/mri folder? 

      Thank you for your insight!

      Best,
      Jessica

      On Tue, Nov 28, 2017 at 5:51 PM, Douglas N Greve
      <greve@nmr.mgh.harvard.edu> wrote:
            You will need to create a segmentation volume in the
      subject/mri folder.
            For BA6, you can use lh.BA6_exvivo.thresh.label to
      create this volume.
            Use mri_label2vol. Run it with --help to get
      examples. You can use
            example #4 just with the single label above (for the
      output use a mgz
            file instead of img). When you are done, you should
      have a binary volume
            at 1mm3 with the lh BA6 -- view this to make sure it
      is right. Then use
            fcseed-config to configure this seed, specifying
      -segid 1 and -seg
            NameOfSeg.mgz

            where NameOfSeg.mgz is the output of the
      mri_label2vol above


            On 11/28/2017 05:44 PM, Jessica Huang wrote:
            > Hi Freesurfer Experts,
            >
            > I've been looking to extract the timecourses of a
      couple regions of
            > interest from fMRI data that's be registered
      against anatomical data.
            >
            > I've used commands such as recon-all and
      preproc-sess on all subjects.
            >
            > I've already used command fcseed-sess to extract
      timecourses from many
            > regions in the default parcellations/
      segmentations transferred
            > through previous commands. I've also used
      fcseed-sess for regions that
            > were labelled in each subject's anatomical labels
      folder. I'm still
            > curious how to extract the timecourses for other
      ROIs not in the
            > default parcellations/ segmentations. For example,
      with reference to
            > the lookup table FreeSurferColorLUT.txt, how do I
      access the
            > timecourse of:
            > #9 Left-Thalamus 0 118 14 0
            > Thank you for any insight. Is there some folder I
      could look in or
            > specific subject files that might help?
            > Thank you again!
            > Jessica
            >
            > p.s. for more examples of timecourses I have/
      don't have access to
            > already:
            >
            > In the default segmentation, I know how to extract
      these:
            > - 1007    ctx-lh-fusiform
            >
            > In the labels folder of each subject, I know how
      to extract these:
            > - 400 V1
            >
            > Unsure how to extract these because they're not
      found in each of my
            > subjects:
            > - 406 BA6
            >
            > --
            > Harvard College Class of 2020
            > A.B. Candidate in Computer Science
      > jessicalihuang.com <http://jessicalihuang.com>
      > 1 (516) 343-4850
      >
      >
      > _______________________________________________
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      --
      Douglas N. Greve, Ph.D.
      MGH-NMR Center
      greve@nmr.mgh.harvard.edu
      Phone Number: 617-724-2358
      Fax: 617-726-7422

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