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Hello, I have run recon-all on ~1600 participants and will use the aparc+aseg.mgz parcellation to extract structural connectomes.Across the dataset, the number of labels in each parcellations ranges from 109 to 115. Where can I find a complete list of labels in aparc+aseg.mgz?The distribution of missing labels is as follows: Label Region Name Missing Count72 5th-Ventricle 155280 non-WM-hypointensities 14903 Left-Cerebral-Cortex 97042 Right-Cerebral-Cortex 64230 Left-vessel 6662 Right-vessel 541006 ctx-lh-entorhinal 21016 ctx-lh-parahippocampal 22016 ctx-rh-parahippocampal 1 Among these, which missing labels are problematic? I assume the absence of the 5th ventricle and non-WM-hypointensities is expected, but I am uncertain about the others.I am only interested in the regions defined in the linked grey matter parcellations(https://secure-web.cisco.com/10fM6Wa2LmQzTYhwuqFhYwNe8hfPJWj90sm199DIWRN29TY...) and will restrict my structural connectome extraction to those labels. However, do these missing labels above suggest segmentation issues? Freesurfer version: freesurfer-Linux-centos6_x86_64-stable-pub-v6.0.0-2beb96uname -a: Linux login-d 4.18.0-348.20.1.el8_5.x86_64 #1 SMP Tue Mar 8 12:56:54 EST 2022 x86_64 x86_64 x86_64 GNU/Linux Best,Tom
The 5th vent, non-wm-hypos, left and right vessel are not worrisome. The left and right cerebral cortex are probably just a few voxels that did not get recoded to the surface parcellation. The ento and parahippo are probably a segmentation error (good that there are only a few of them:)
On 2/7/2025 7:17 AM, tomjandrews@sky.com wrote:
External Email - Use Caution
Hello,
I have run recon-all on ~1600 participants and will use the aparc+aseg.mgz parcellation to extract structural connectomes. Across the dataset, the number of labels in each parcellations ranges from 109 to 115. Where can I find a complete list of labels in aparc+aseg.mgz? The distribution of missing labels is as follows:
Label Region Name Missing Count 72 5th-Ventricle 1552 80 non-WM-hypointensities 1490 3 Left-Cerebral-Cortex 970 42 Right-Cerebral-Cortex 642 30 Left-vessel 66 62 Right-vessel 54 1006 ctx-lh-entorhinal 2 1016 ctx-lh-parahippocampal 2 2016 ctx-rh-parahippocampal 1
Among these, which missing labels are problematic? I assume the absence of the 5th ventricle and non-WM-hypointensities is expected, but I am uncertain about the others. I am only interested in the regions defined in the linked grey matter parcellations(https://github.com/MRtrix3/mrtrix3/blob/master/share/mrtrix3/labelconvert/fs...) and will restrict my structural connectome extraction to those labels. However, do these missing labels above suggest segmentation issues?
Freesurfer version: freesurfer-Linux-centos6_x86_64-stable-pub-v6.0.0-2beb96 uname -a: Linux login-d 4.18.0-348.20.1.el8_5.x86_64 #1 SMP Tue Mar 8 12:56:54 EST 2022 x86_64 x86_64 x86_64 GNU/Linux
Best, Tom
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