The following publications are possibly variants of this publication:
- A DCM for resting state fMRIKarl J. Friston, Joshua Kahan, Bharat Biswal, Adeel Razi. neuroimage, 94:396-407, 2014. [doi]
- The effect of global signal regression on DCM estimates of noise and effective connectivity from resting state fMRIHannes Almgren, Frederik Van de Steen, Adeel Razi, Karl J. Friston, Daniele Marinazzo. neuroimage, 208:116435, 2020. [doi]
- Generalised filtering and stochastic DCM for fMRIBaojuan Li, Jean Daunizeau, Klaas E. Stephan, William D. Penny, Dewen Hu, Karl J. Friston. neuroimage, 58(2):442-457, 2011. [doi]
- An electrophysiological validation of stochastic DCM for fMRIJean Daunizeau, Louis Lemieux, Anna E. Vaudano, Karl J. Friston, Klaas E. Stephan. ficn, 2013:103, 2013. [doi]
- Construct validation of a DCM for resting state fMRIAdeel Razi, Joshua Kahan, Geraint Rees, Karl J. Friston. neuroimage, 106:1-14, 2015. [doi]
- Bayesian fusion and multimodal DCM for EEG and fMRIHuilin Wei, Amirhossein Jafarian, Peter Zeidman, Vladimir Litvak, Adeel Razi, Dewen Hu, Karl J. Friston. neuroimage, 211:116595, 2020. [doi]
- A guide to group effective connectivity analysis, part 1: First level analysis with DCM for fMRIPeter Zeidman, Amirhossein Jafarian, Nadège Corbin, Mohamed L. Seghier, Adeel Razi, Cathy J. Price, Karl J. Friston. neuroimage, 200:174-190, 2019. [doi]