Hello,
I'm currently doing a resting state functional connectivity analysis. I have two groups and my ultimate goal is to compare the resting state network of group 1 to that of group 2.
What is the standard procedure for comparing resting state connectivity across groups?
I've followed the directions on the FsFast Functional Connectivity Walkthrough (http://surfer.nmr.mgh.harvard.edu/fswiki/FsFastFunctionalConnectivityWalkthr...) and after the isxconcat-sess, I did mri_glmfit --y ces.nii.gz -wls pcc.nii.gz -surface fsaverage lh -glmdir [my/group1.directory.wls} -nii.gz, for each group. This got me the mean for both groups individually. I'm now stuck on how to proceed to compare across my groups. Using mri_glmfit creates the problem of trying to pre-process each group without a variable for -measure, and I'm not sure if using the -iv flag with the ces.nii.gz or pcc.nii.gz is going to give me what I need.
Thank you.
--Emma Bailin
Emma Bailin Research Coordinator Laboratory for Visual Neuroplasticity Schepens Eye Research Institute Mass. Eye and Ear Infirmary Harvard Medical School Emma_Bailin@MEEI.harvard.edumailto:Emma_Bailin@MEEI.harvard.edu (617)-573-3794
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When you run isxconcat-sess, specify all subjects, then just follow the examples here
https://surfer.nmr.mgh.harvard.edu/fswiki/FsgdExamples
for two groups
On 03/03/2017 01:29 PM, Bailin, Emma wrote:
Hello,
I’m currently doing a resting state functional connectivity analysis. I have two groups and my ultimate goal is to compare the resting state network of group 1 to that of group 2.
What is the standard procedure for comparing resting state connectivity across groups?
I’ve followed the directions on the FsFast Functional Connectivity Walkthrough (http://surfer.nmr.mgh.harvard.edu/fswiki/FsFastFunctionalConnectivityWalkthr...) and after the isxconcat-sess, I did mri_glmfit --y ces.nii.gz –wls pcc.nii.gz –surface fsaverage lh –glmdir [my/group1.directory.wls} –nii.gz, for each group. This got me the mean for both groups individually. I’m now stuck on how to proceed to compare across my groups. Using mri_glmfit creates the problem of trying to pre-process each group without a variable for –measure, and I’m not sure if using the –iv flag with the ces.nii.gz or pcc.nii.gz is going to give me what I need.
Thank you.
--Emma Bailin
*Emma Bailin*
/Research Coordinator/
Laboratory for Visual Neuroplasticity
Schepens Eye Research Institute
Mass. Eye and Ear Infirmary
Harvard Medical School
Emma_Bailin@MEEI.harvard.edu mailto:Emma_Bailin@MEEI.harvard.edu
(617)-573-3794
Mass. Eye and Ear Confidentiality Notice: This e-mail and any files transmitted with it are confidential and are intended solely for the use of the individual(s) addressed in the message above. This communication may contain sensitive or confidential information. If you are not an intended recipient, dissemination, forwarding, printing, or copying of this e-mail is strictly prohibited. If you believe you have received this e-mail in error and the email contains patient information, please contact the Mass. Eye and Ear Compliance Line at 844-815-4401. If the e-mail was sent to you in error but does not contain patient information, please contact the sender and delete the e-mail.
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