translationalneuromodeling / tapas

TAPAS - Translational Algorithms for Psychiatry-Advancing Science
https://translationalneuromodeling.github.io/tapas/
GNU General Public License v3.0
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Self-connectivity in rDCM #237

Open CogPsycho2023 opened 1 year ago

CogPsycho2023 commented 1 year ago

Hi, I have a naive question about regression DCM. I am going to implement both spectral DCM and regression DCM in my project now. As I understood from spectral DCM, the diagonal elements of matrix-A or matrix-B EC were log-scaled. Then I am thinking about if the regression DCM also has such a scaling transformation in the output. Any responses would be appreciated. Best regards, Shufei Zhang

ImreKertesz commented 1 year ago

Dear Shufei Zhang,

the posterior estimates of the inhibitory self connections (diagonal elements of A matrix) are not log-scaled. The estimated quantities are the actual values of the A matrix. Regarding the B matrix: rDCM is based on a linear DCM, therefore (in it's current implementation) it's not modeling changes in connectivity. In other words, the values of the B matrix are not estimated.

I hope this is helpful. It not, feel free to come back to us.

All the best, Imre