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Spatial Bayesian GLM on the cortical surface produces reliable task activations in individuals and groups
The general linear model (GLM) is a widely popular and convenient tool for estimating the functional brain response and identifying areas of significant activation during a task or stimulus. However, the classical GLM is based on a massive univariate approach that does not explicitly leverage the si...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9006342/ https://www.ncbi.nlm.nih.gov/pubmed/35032660 http://dx.doi.org/10.1016/j.neuroimage.2022.118908 |