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Performs a spatial Bayesian general linear model (GLM) for task functional magnetic resonance imaging (fMRI) data on the cortical surface. Additional models include group analysis and inference to detect thresholded areas of activation. Includes direct support for the 'CIFTI' neuroimaging file format. For more information see A. F. Mejia, Y. R. Yue, D. Bolin, F. Lindgren, M. A. Lindquist (2020) doi:10.1080/01621459.2019.1611582 and D. Spencer, Y. R. Yue, D. Bolin, S. Ryan, A. F. Mejia (2022) doi:10.1016/j.neuroimage.2022.118908.
Citation | BayesfMRI citation info |
github.com/mandymejia/BayesfMRI | |
Bug report | File report |
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