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YesHi Doug,
Thanks for your response. I was able to follow the steps you detailed and have ended up with a .dat file containing a list of values for each subject. Just a couple of follow up questions:
1. In my analysis I was using rh thickness as a dependent measure. So, do the individual values I have generated (using the below command) represent average thickness of the labelled area for each subject?
Do you mean you want to run qdec using area or volume to generate a new label or that you want to get area and volume measures for the thickness-based label? If the latter, then run qdec with area/volume as the dependent measure making sure to spec a different output folder. This will create a new y.mgh file. Then run the mri_segstats command on it.2. If I where using area or volume as the dependant measure, how would i generate label specific stats for those measures?
For thickness, they will be mm, area mm2, volume mm3.2. Are the generated stats measured in mm2?
It just says to generate stats for the label. If you don't include that flag, then it will generate 2 numbers, one for all the vertices in the label, and one for all vertices not in the label3. What is the function of the flag "--id 1"?
On 22/08/2014 3:27 am, Douglas N Greve wrote:Kind regards,
Bronwyn Overs
Research Assistant![]()
Neuroscience Research Australia
Margarete Ainsworth Building
Barker Street Randwick Sydney NSW 2031 Australia
M 0411 308 769 T +61 2 9399 1883 F +61 2 9399 1265
Create a label of the cluster, then run mri_segstats --slabel fsaverage lh /path/to/your.label --i y.mgh --id 1 --avgwf cluster.dat where y.mgh is the file created by qdec in the qdec output folder and make sure to use the full path to the label. The output will be cluster.dat and it will have have a value for each subject. Does this work for you? doug On 08/20/2014 07:36 PM, Bronwyn Overs wrote:Dear Mailing List, I have just completed a QDEC (v5.1.0) analysis of the following design: Measure: thickness Smoothing (FWHM): 10 Hemisphere: lh 2 Discrete (Fixed Factors): group (2 levels, AtRisk & Control) and gene (2 levels, CC & TTorTC) 1 Nuisance Factos: age On completion of the analysis, I have selected the following results in the display tab: "Does the average thickness, acounting for group, differ between CC and TTorTC?". I have then completed an FDR correction by clicking the "Set Using FDR" (Rate 0.05) button. The following info is then printed to the terminal window: MRISfdr2vwth(): np = 163842, nv = 163842, fdr = 0.05, vwth=4.74798 Found 59 of 163842 vertices above FDR threshold (of 4.74798) I have then hit "Find Clusters and Goto Max" and found there to be a single cluster in the medialorbitofrontal, with a size of 26.09 mm2. I would now like to know what the mean thickness is for that cluster at each level of my gene variable. How can this information be obtained? -- Kind regards, Bronwyn Overs Research Assistant Neuroscience Research Australia Neuroscience Research Australia Margarete Ainsworth Building Barker Street Randwick Sydney NSW 2031 Australia *M* 0411 308 769 *T* +61 2 9399 1883 *F* +61 2 9399 1265 neura.edu.au <http://neura.edu.au> Follow @neuraustralia on twitter <https://twitter.com/neuraustralia>Follow NeuRA on facebook <https://www.facebook.com/NeuroscienceResearchAustralia>Subscribe to the NeuRA Magazine <http://www.neura.edu.au/help-research/subscribe> _______________________________________________ Freesurfer mailing list Freesurfer@nmr.mgh.harvard.edu https://mail.nmr.mgh.harvard.edu/mailman/listinfo/freesurfer
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