Dear Alfonso,
I have been doing some ROI-to-ROI connectivity analysis and looking at the average effect across all subjects ( I selected bivariate correlation in the first level analysis). I have done a one-sample t-test.
My understanding is that the beta value represents the connectivity strength between pairs of ROI.
However, I have got a significant beta value of -10.26.
I thought that beta was a Fisher-transformed correlation value with a range of value -1 to 1, and so I do not understand how a beta value can be so large.
Could you please share your thought on it?
Many thanks.
Best,
Hugo
I have been doing some ROI-to-ROI connectivity analysis and looking at the average effect across all subjects ( I selected bivariate correlation in the first level analysis). I have done a one-sample t-test.
My understanding is that the beta value represents the connectivity strength between pairs of ROI.
However, I have got a significant beta value of -10.26.
I thought that beta was a Fisher-transformed correlation value with a range of value -1 to 1, and so I do not understand how a beta value can be so large.
Could you please share your thought on it?
Many thanks.
Best,
Hugo