Hi Elisa,
It is recommended to use lGI on a vertex-wise basis, i.e. to use qdec the same way you would for cortical thickness. To get access to pial_lgi as a measure of interest in qdec, you need to add a row with: MEASURE1 = pial_lgi in the .Qdecrc file located in your home directory.
Otherwise, if you use mri_segstats, you get for each subject a text file where the rows correspond to the order detailed in "TableCol", i.e. all values after your structure name are lGI values (Mean, StdDev, Min, Max, Range). Don't pay attention to intensity, as you're not giving a volume file as an input lGI values replace intensity values.
Hope it helps,
Marie
On Jul 29, 2014, at 2:27 AM, elisa veronese <dovreipensarci@gmail.commailto:dovreipensarci@gmail.com> wrote:
Dear FS users,
can anybody help me in understanding the results of the localGI pipeline? After calling the
recon-all -s subj -localGI
recon-all -s subj -qcache -measure pial_lgi
mri_segstats --annot subj lh aparc --i $SUBJECTS_DIR/subj/surf/lh.pial_lgi --sum lh.aparc.pial_lgi.stats
what I obtain is a text file with 10 columns, i.e.
# TableCol 1 ColHeader Index # TableCol 2 ColHeader SegId # TableCol 3 ColHeader NVertices # TableCol 4 ColHeader Area_mm2 # TableCol 5 ColHeader StructName # TableCol 6 ColHeader Mean # TableCol 7 ColHeader StdDev # TableCol 8 ColHeader Min # TableCol 9 ColHeader Max # TableCol 10 ColHeader Range
and 34 rows (i.e. 34 ROIs).
What I cannot understand is the meaning of the last five columns (intensity mean, stdev, min, max, range). Is this "intensity" measure linked to the gyrification index? If yes, how? And, if no, how can I obtain the actual gyrification index?
Thank you.
Best, Elisa
-- Elisa Veronese - PhD
Research Unit on Brain Imaging and Neuropsychology (RUBIN) Inter-University Center for Behavioral Neurosciences (ICBN) University of Udine and University of Verona, Italy ICBN Website: http://icbn.uniud.it/tiki-index.php
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