group analysis

Submitted by cat on

YAN Chao-Gan

Wed, 01/14/2015 - 22:23

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Hi Cat,

You can use DPABI (http://rfmri.org) Viewer to view the functional connectivity maps (see Part I in http://rfmri.org/Course).

Usually, you will do a statistical analysis (one-sample t-test, with DPABI Statistical Analysis) to view the general pattern.

As you have two sessions, a common processing is simple averaging FC maps over the two sessions for each subject.

To test group differences, you can use Two-Sample Two-Tailed t-test. You can use DPABI Statistical Analysis module to do that. Please find the operational details at http://rfmri.org/Course.

Best,

Chao-Gan

Thank you very much for your help.
Just one more question, how would I average functional connectivity maps over both sessions for each subject?
Kind regards,
Cat




On Jan 14, 2015, at 3:23 PM, The R-fMRI Network <rfmri.org@gmail.com> wrote:

[To post a comment, please reply to rfmri.org@gmail.com ABOVE this line]

Commented by YAN Chao-Gan (YAN Chao-Gan)

Hi Cat,

You can use DPABI (http://rfmri.org) Viewer to view the functional connectivity maps (see Part I in http://rfmri.org/Course).

Usually, you will do a statistical analysis (one-sample t-test, with DPABI Statistical Analysis) to view the general pattern.

As you have two sessions, a common processing is simple averaging FC maps over the two sessions for each subject.

To test group differences, you can use Two-Sample Two-Tailed t-test. You can use DPABI Statistical Analysis module to do that. Please find the operational details at http://rfmri.org/Course.

Best,

Chao-Gan


Online version of this post: http://rfmri.org/comment/3469#comment-3469


Hi Cat,

I will suggest you to try DPABI->Utilities->Image Calculator,

use the expression (g1+g2)/2

g1, g2 is your functinoal connectivity directories.

Best,

Chao-Gan

Thank you for this advice.
That works great.
Cat



On Jan 14, 2015, at 7:44 PM, The R-fMRI Network <rfmri.org@gmail.com> wrote:

[To post a comment, please reply to rfmri.org@gmail.com ABOVE this line]

Commented by YAN Chao-Gan (YAN Chao-Gan)

Hi Cat,

I will suggest you to try DPABI->Utilities->Image Calculator,

use the expression (g1+g2)/2

g1, g2 is your functinoal connectivity directories.

Best,

Chao-Gan


Online version of this post: http://www.rfmri.org/comment/3473#comment-3473


flgarcia

Mon, 10/16/2017 - 22:18

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Hi Dr. Yan,

Would averaging runs in this way reduce degrees of freedom for the group-level stats?

Thank you,

Felix

Dear DPARSF A Experts: Thank you for this valuable toolbox. I have successfully pre-processed my data (20 healthy controls; 20 patients) using DPARSF A for a voxel-wise functional connectivity analysis with a pre-defined ROI. I had two resting state runs for each of my 40 subjects, so my data is organized as required by DPARSF into a folder named 'Analysis' under which I created two FunImg folders (FunImg, and S2_FunImg) for both resting-state runs. Therefore, I have now 2 Results folders that contain the zFCMaps for each person. I am uncertain what toolbox to use to view the functional connectivity of all (40 subjects) with the ROI and how to input my subject data when I have two zFCmaps for each person? I also want to perform an analysis on whether or not there are group differences in functional connectivity between the ROI and the rest of the brain (two-tailed t-test?). My question is how do I organize this data and what toolbox do I use to perform this type of analysis? Very Best Regards, Cat Chong