Dear Hongbo,
Please refer to the following papers:
2state DCM: Marreiros, A.C., Kiebel, S.J., Friston, K.J., 2008a. Dynamic causal modelling for fMRI: a two-state model. Neuroimage 39, 269-278.
stochastid DCM:
Daunizeau, J., Friston, K.J., Kiebel, S.J., 2009a. Variational Bayesian
identification and prediction of stochastic nonlinear dynamic causal
models. Physica, D 238, 2089–2118.
Li B,
Daunizeau J, Stephan KE, Penny W, Hu D, Friston K. Generalised filtering and stochastic DCM for fMRI. Neuroimage.
2011 Feb 16.
If you do not know what they mean, best not to use them, and use all the default options (states per region = 1, no stochastic DCM, and no mean centering of inputs)
best,
Hanneke
On 5 February 2012 21:03, Hongbo
<[log in to unmask]> wrote:
Dear all,
I recently tried to model my fMRI data with non-linear DCM. But I do not know what do "States per region" and " Stochastic effects" mean and how to set it. I searched the spm8 manual, but did not get enough information. Could you please explain the basic ideas of these two terms? Thanks!
Best regards,
Hongbo
--
Hongbo Yu
PhD candidate
Center for Brain and Cognitive Sciences
Department of Psychology
Peking University
Philosophy Building
--
Hanneke den Ouden, PhD
Center for Neural ScienceNew York University
4 Washington Place, room 873
New York NY 10003
