These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
4. Dynamic causal modelling: a critical review of the biophysical and statistical foundations. Daunizeau J; David O; Stephan KE Neuroimage; 2011 Sep; 58(2):312-22. PubMed ID: 19961941 [TBL] [Abstract][Full Text] [Related]
7. Stochastic dynamic causal modelling of fMRI data: should we care about neural noise? Daunizeau J; Stephan KE; Friston KJ Neuroimage; 2012 Aug; 62(1):464-81. PubMed ID: 22579726 [TBL] [Abstract][Full Text] [Related]
8. The application of nonlinear Dynamic Causal Modelling for fMRI in subjects at high genetic risk of schizophrenia. Dauvermann MR; Whalley HC; Romaniuk L; Valton V; Owens DG; Johnstone EC; Lawrie SM; Moorhead TW Neuroimage; 2013 Jun; 73():16-29. PubMed ID: 23384525 [TBL] [Abstract][Full Text] [Related]
9. Empirical Markov Chain Monte Carlo Bayesian analysis of fMRI data. de Pasquale F; Del Gratta C; Romani GL Neuroimage; 2008 Aug; 42(1):99-111. PubMed ID: 18538586 [TBL] [Abstract][Full Text] [Related]
10. Dynamic causal modelling of EEG and fMRI to characterize network architectures in a simple motor task. Bönstrup M; Schulz R; Feldheim J; Hummel FC; Gerloff C Neuroimage; 2016 Jan; 124(Pt A):498-508. PubMed ID: 26334836 [TBL] [Abstract][Full Text] [Related]
11. Time series analysis of fMRI data: Spatial modelling and Bayesian computation. Teng M; Johnson TD; Nathoo FS Stat Med; 2018 Aug; 37(18):2753-2770. PubMed ID: 29717508 [TBL] [Abstract][Full Text] [Related]
12. Ten simple rules for dynamic causal modeling. Stephan KE; Penny WD; Moran RJ; den Ouden HE; Daunizeau J; Friston KJ Neuroimage; 2010 Feb; 49(4):3099-109. PubMed ID: 19914382 [TBL] [Abstract][Full Text] [Related]
13. Nonlinear dynamic causal models for fMRI. Stephan KE; Kasper L; Harrison LM; Daunizeau J; den Ouden HE; Breakspear M; Friston KJ Neuroimage; 2008 Aug; 42(2):649-62. PubMed ID: 18565765 [TBL] [Abstract][Full Text] [Related]
14. Test-retest reliability of dynamic causal modeling for fMRI. Frässle S; Stephan KE; Friston KJ; Steup M; Krach S; Paulus FM; Jansen A Neuroimage; 2015 Aug; 117():56-66. PubMed ID: 26004501 [TBL] [Abstract][Full Text] [Related]
15. A hierarchical model for integrating unsupervised generative embedding and empirical Bayes. Raman S; Deserno L; Schlagenhauf F; Stephan KE J Neurosci Methods; 2016 Aug; 269():6-20. PubMed ID: 27141854 [TBL] [Abstract][Full Text] [Related]
16. Regression DCM for fMRI. Frässle S; Lomakina EI; Razi A; Friston KJ; Buhmann JM; Stephan KE Neuroimage; 2017 Jul; 155():406-421. PubMed ID: 28259780 [TBL] [Abstract][Full Text] [Related]
17. Construct validation of a DCM for resting state fMRI. Razi A; Kahan J; Rees G; Friston KJ Neuroimage; 2015 Feb; 106():1-14. PubMed ID: 25463471 [TBL] [Abstract][Full Text] [Related]
18. Bayesian population receptive field modelling. Zeidman P; Silson EH; Schwarzkopf DS; Baker CI; Penny W Neuroimage; 2018 Oct; 180(Pt A):173-187. PubMed ID: 28890416 [TBL] [Abstract][Full Text] [Related]
19. Large-scale neural models and dynamic causal modelling. Lee L; Friston K; Horwitz B Neuroimage; 2006 May; 30(4):1243-54. PubMed ID: 16387513 [TBL] [Abstract][Full Text] [Related]
20. A Bayesian hierarchical framework for spatial modeling of fMRI data. DuBois Bowman F; Caffo B; Bassett SS; Kilts C Neuroimage; 2008 Jan; 39(1):146-56. PubMed ID: 17936016 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]