Dynamic causal modelling for fMRI: A two-state model
Article Properties
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LanguageEnglish
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DOI (url)
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Publication Date2008/01/01
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Journal
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Indian UGC (journal)
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Refrences21
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Citations120
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A.C. Marreiros
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S.J. Kiebel
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K.J. Friston
Cite
Marreiros, A.C., et al. “Dynamic Causal Modelling for FMRI: A Two-State Model”. NeuroImage, vol. 39, no. 1, 2008, pp. 269-78, https://doi.org/10.1016/j.neuroimage.2007.08.019.
Marreiros, A., Kiebel, S., & Friston, K. (2008). Dynamic causal modelling for fMRI: A two-state model. NeuroImage, 39(1), 269-278. https://doi.org/10.1016/j.neuroimage.2007.08.019
Marreiros, A.C., S.J. Kiebel, and K.J. Friston. “Dynamic Causal Modelling for FMRI: A Two-State Model”. NeuroImage 39, no. 1 (2008): 269-78. https://doi.org/10.1016/j.neuroimage.2007.08.019.
1.
Marreiros A, Kiebel S, Friston K. Dynamic causal modelling for fMRI: A two-state model. NeuroImage. 2008;39(1):269-78.
Journal Categories
Medicine
Internal medicine
Neurosciences
Biological psychiatry
Neuropsychiatry
Medicine
Medicine (General)
Medical physics
Medical radiology
Nuclear medicine
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Refrences
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| Dynamic causal modeling: A generative model of slice timing in fMRI | NeuroImage |
| 66 | 2007 |
Realistically Coupled Neural Mass Models Can Generate EEG Rhythms | Neural Computation |
| 102 | 2007 |
| Two Distinct Neural Mechanisms for Category-selective Responses | Cerebral Cortex |
| 135 | 2006 |
| Mapping directed influence over the brain using Granger causality and fMRI | NeuroImage |
| 662 | 2005 |
| Comparing dynamic causal models | NeuroImage |
| 589 | 2004 |
Refrences Analysis
The category
Medicine: Internal medicine: Neurosciences. Biological psychiatry. Neuropsychiatry 51
is the most frequently represented among the references in this article. It primarily includes studies from NeuroImage and Hearing Research. The chart below illustrates the number of referenced publications per year.
Refrences used by this article by year
Citations
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| A new causal centrality measure reveals the prominent role of subcortical structures in the causal architecture of the extended default mode network | Brain Structure and Function |
| 1 | 2023 |
| Physiological modeling of the BOLD signal and implications for effective connectivity: A primer | NeuroImage |
| 1 | 2023 |
Active Inference, Epistemic Value, and Uncertainty in Conceptual Disorganization in First-Episode Schizophrenia | Schizophrenia Bulletin |
| 5 | 2023 |
A quantitative model for human neurovascular coupling with translated mechanisms from animals | PLOS Computational Biology |
| 1 | 2023 |
A multi-layer mean-field model of the cerebellum embedding microstructure and population-specific dynamics | PLOS Computational Biology |
| 2023 |
Citations Analysis
The category
Medicine: Internal medicine: Neurosciences. Biological psychiatry. Neuropsychiatry 92
is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Imaging structural and functional connectivity: towards a unified definition of human brain organization? and was published in 2008. The most recent citation comes from a 2023 study titled A multi-layer mean-field model of the cerebellum embedding microstructure and population-specific dynamics. This article reached its peak citation in 2019, with 18 citations. It has been cited in 58 different journals, 24% of which are open access. Among related journals, the NeuroImage cited this research the most, with 33 citations. The chart below illustrates the annual citation trends for this article.