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A Bayesian spatial model for neuroimaging data based on biologically informed basis functions
The dominant approach to neuroimaging data analysis employs the voxel as the unit of computation. While convenient, voxels lack biological meaning and their size is arbitrarily determined by the resolution of the image. Here, we propose a multivariate spatial model in which neuroimaging data are cha...
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| 出版年: | Neuroimage |
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| 主要な著者: | , , , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Academic Press
2017
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5692833/ https://ncbi.nlm.nih.gov/pubmed/28782681 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.neuroimage.2017.08.009 |
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