Dynamic causal modelling of effective connectivity from fMRI: Are results reproducible and sensitive to Parkinson's disease and its treatment?
Open Access
- 30 September 2010
- journal article
- research article
- Published by Elsevier in NeuroImage
- Vol. 52 (3) , 1015-1026
- https://doi.org/10.1016/j.neuroimage.2009.12.080
Abstract
No abstract availableKeywords
Funding Information
- Wellcome Trust (WT077029)
This publication has 67 references indexed in Scilit:
- Ten simple rules for dynamic causal modelingNeuroImage, 2010
- Dynamic Causal Modeling applied to fMRI data shows high reliabilityNeuroImage, 2010
- How well does structural equation modeling reveal abnormal brain anatomical connections? An fMRI simulation studyNeuroImage, 2009
- Bayesian model selection for group studiesPublished by Elsevier ,2009
- Hybrid ICA–Bayesian network approach reveals distinct effective connectivity differences in schizophreniaNeuroImage, 2008
- Connectivity from the ventral anterior cingulate to the amygdala is modulated by appetitive motivation in response to facial signals of aggressionNeuroImage, 2008
- The functional anatomy of the MMN: A DCM study of the roving paradigmNeuroImage, 2008
- Comparing hemodynamic models with DCMNeuroImage, 2007
- Dynamic causal modelling of evoked potentials: A reproducibility studyNeuroImage, 2007
- Role of hyperactive cerebellum and motor cortex in Parkinson's diseasePublished by Elsevier ,2007