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Assessing parameter identifiability for dynamic causal modeling of fMRI data
Deterministic dynamic causal modeling (DCM) for fMRI data is a sophisticated approach to analyse effective connectivity in terms of directed interactions between brain regions of interest. To date it is difficult to know if acquired fMRI data will yield precise estimation of DCM parameters. Focusing...
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| 出版年: | Front Neurosci |
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| 主要な著者: | , , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Frontiers Media S.A.
2015
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4335185/ https://ncbi.nlm.nih.gov/pubmed/25750612 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fnins.2015.00043 |
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