BayesfMRI-package {BayesfMRI} | R Documentation |
BayesfMRI: Spatial Bayesian Methods for Task Functional MRI Studies
Description
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.
Author(s)
Maintainer: Amanda Mejia mandy.mejia@gmail.com
Authors:
Daniel Spencer danieladamspencer@gmail.com (ORCID)
Other contributors:
Damon Pham damondpham@gmail.com (ORCID) [contributor]
David Bolin david.bolin@kaust.edu.sa [contributor]
Yu (Ryan) Yue yybaruch@gmail.com [contributor]
Sarah Ryan sarahryan320@gmail.com [contributor]
See Also
Useful links:
Report bugs at https://github.com/mandymejia/BayesfMRI/issues