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help > RE: strategy to analyse surface-based data
Jun 18, 2019 04:06 PM | Chelsea Kaplan - University of Michigan
RE: strategy to analyse surface-based data
Hello,
I just came across this old post below when I was searching through the forum. I would like to do something very similar. Does anyone have any hints as to how to take a significant cluster from a FreeSurfer surface-based analysis and use the cluster as an ROI in the Conn Toolbox for functional connectivity analyses?
Thank you,
Chelsea
Originally posted by Vivian Roger Steiger:
I just came across this old post below when I was searching through the forum. I would like to do something very similar. Does anyone have any hints as to how to take a significant cluster from a FreeSurfer surface-based analysis and use the cluster as an ROI in the Conn Toolbox for functional connectivity analyses?
Thank you,
Chelsea
Originally posted by Vivian Roger Steiger:
dear experts
do you have any new ideas to this question below?
best wishes
Originally posted by Vivian Roger Steiger:
do you have any new ideas to this question below?
best wishes
Originally posted by Vivian Roger Steiger:
Dear experts,
I'm a new user of Conn and need some advice from pros on how to properly setup a surface-based analysis.
So far I've conducted a surface-based analysis with FreeSurfer, where I got a lot of mc-corrected clusters in a simple group comparison approach.
(I've used 'make_average_subject' to generate a specific analysis space for stats instead of fsaverage since I have a special population)
I'd like to use these significant mc-corrected clusters to start a seed-based analysis using CONN and the corresponding resting state data in order bring structural and functional findings together.
What would be the optimal strategy to start such an analysis?
Thank you very much for your help
Best,
vivian
I'm a new user of Conn and need some advice from pros on how to properly setup a surface-based analysis.
So far I've conducted a surface-based analysis with FreeSurfer, where I got a lot of mc-corrected clusters in a simple group comparison approach.
(I've used 'make_average_subject' to generate a specific analysis space for stats instead of fsaverage since I have a special population)
I'd like to use these significant mc-corrected clusters to start a seed-based analysis using CONN and the corresponding resting state data in order bring structural and functional findings together.
What would be the optimal strategy to start such an analysis?
Thank you very much for your help
Best,
vivian
Threaded View
| Title | Author | Date |
|---|---|---|
| Vivian Roger Steiger | Jul 12, 2016 | |
| Vivian Roger Steiger | Sep 6, 2016 | |
| Chelsea Kaplan | Jun 18, 2019 | |