BayesfMRI-package: BayesfMRI: Spatial Bayesian Methods for Task Functional MRI...

In mandymejia/BayesGLMfMRI: Spatial Bayesian Methods for Task Functional MRI Studies

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) \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1080/01621459.2019.1611582")} and D. Spencer, Y. R. Yue, D. Bolin, S. Ryan, A. F. Mejia (2022) \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1016/j.neuroimage.2022.118908")}.

Author(s)

Maintainer: Amanda Mejia [e-mail]

Authors:

• Daniel Spencer [e-mail] (ORCID)

Other contributors:

• Damon Pham [e-mail] (ORCID) [contributor]

• David Bolin [e-mail] [contributor]

• Yu (Ryan) Yue [e-mail] [contributor]

• Sarah Ryan [e-mail] [contributor]

See Also

Useful links:

• https://github.com/mandymejia/BayesfMRI

• Report bugs at https://github.com/mandymejia/BayesfMRI/issues

mandymejia/BayesGLMfMRI documentation built on April 12, 2025, 3:41 p.m.