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Enhanced False Discovery Rate using Gaussian Mixture Models for thresholding fMRI statistical maps
A typical fMRI data analysis proceeds via the generalized linear model (GLM) with Gaussian noise using a model based on the experimental paradigm. This analysis ultimately results in the production of z-statistic images corresponding to the contrasts of interest. Thresholding such z-statistic images...
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| Hoofdauteurs: | , , |
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| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
2009
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| Onderwerpen: | |
| Online toegang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2735129/ https://ncbi.nlm.nih.gov/pubmed/19269334 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.neuroimage.2009.02.035 |
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