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...
| Главные авторы: | , , , , |
|---|---|
| Формат: | Journal article |
| Язык: | English |
| Опубликовано: |
2004
|