Dear freesurfer experts,
I searched on the wiki but can not figure out how to solve this problem: I found some significant clusters on graymatter thickness, how can I use it as a ROI in my functional MRI study? I have both structure and function data of the same subjects, so I can either do it in stardard space or native space one by one if possible.
Any help is appriciated~
Best
2014-11-20
Chunhui Chen _________________
State Key Laboratory of Cognitive Neuroscience and Learning Beijing Normal University Beijing, China 100875
Hi Chunhui
if you have the significant clusters as overlays in fsaverage you can load them in tksurfer and use the "custom fill" button to create ROIs from connected compontents that are above threshold, then go from there (e.g. mri_label2label to map them to individual subjects, etc...)
cheers Bruce On Thu, 20 Nov 2014, chenchunhuichina wrote:
Dear freesurfer experts, I searched on the wiki but can not figure out how to solve this problem: I found some significant clusters on graymatter thickness, how can I use it as a ROI in my functional MRI study? I have both structure and function data of the same subjects, so I can either do it in stardard space or native space one by one if possible. Any help is appriciated~ Best 2014-11-20
Chunhui Chen _________________ State Key Laboratory of Cognitive Neuroscience and Learning Beijing Normal University Beijing, China 100875
What do you mean apply it to your functional data? Analyzed fMRI? In what package? In what space is the fMRI?
On 11/20/2014 08:01 AM, chenchunhuichina wrote:
Dear freesurfer experts, I searched on the wiki but can not figure out how to solve this problem: I found some significant clusters on graymatter thickness, how can I use it as a ROI in my functional MRI study? I have both structure and function data of the same subjects, so I can either do it in stardard space or native space one by one if possible. Any help is appriciated~ Best 2014-11-20
Chunhui Chen _________________ State Key Laboratory of Cognitive Neuroscience and Learning Beijing Normal University Beijing, China 100875
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