Multilevel linear modelling for FMRI group analysis using Bayesian inference.
Functional magnetic resonance imaging studies often involve the acquisition of data from multiple sessions and/or multiple subjects. A hierarchical approach can be taken to modelling such data with a general linear model (GLM) at each level of the hierarchy introducing different random effects varia...
| Autores principales: | , , , , |
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| Formato: | Journal article |
| Lenguaje: | English |
| Publicado: |
2004
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