GraphVar

Behavioral Regressor with Paired T-test

Submitted by Dimitrios Palidis on
Forums

Dear Experts,

I have startede experimenting with GraphVar, it is very interesting but I have a few questions.

1.) In my study I perform behavioral testing as well as resting state scans before and after a training session. I am using "group comparison" to run a paired t-test on multiple graph metrics. I define a collumn in the variable spread sheet called "group" with value either "pre" or "post", with all of the pre scans listed followed by all of the post scans listed in the same order. This seems to be working fine.

Statistically significant networks

Submitted by qtwing@nate.com on
Forums

Dear Johann,

I got a new result according to your advice (150 times permutation tests). (please see the attached figure 1)

I corrected using Groups(FDR) thresholding and got those survived networks.

Could I regard that all the networks  are statistically significant with multiple comparison correction?

Actually, I did not find significant graph-components in Network Inspector panel (attached figure 2) but I think there are still significant networks as seen in the Results panel.

Various parameters

Submitted by qtwing@nate.com on
Forums

Dear Johann,

I changed initial link threshold and got different graph components.

Here are another questions.

I changed also some parameters as I checked in an attached figure.

According to various parameters, I got totally same graph component but different alpha value in 'Network Inspector'.

When I set the parameters (generate : 1 / Number of repetitions : 1), it showed best alpha value, zero.

However when I set the parameters (generate : 10 / Number of repetitions : more than 10), it showed higher alpha value above 0.5.

GraphVar published in the "Journal of Neuroscience Methods"

Submitted by Johann Kruschwitz on
Forums

GraphVar is now fully citable and published in the "Journal of Neuroscience Methods" (2015)

Find the article HERE!

Please cite this toolbox as:
Kruschwitz JD, List D, Waller L, Rubinov M, Walter H, GraphVar: A user-friendly toolbox for comprehensive graph analyses of functional brain connectivity, Journal of Neuroscience Methods (2015)