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 11 months ago

CogPsycho2023 commented 11 months 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 11 months 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