task_names_Param

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>.

Amanda Mejia

BayesfMRI

Spatial Bayesian Methods for Task Functional MRI Studies

Daniel Spencer

Damon Pham

David Bolin

Sarah Ryan

Yu (Ryan) Yue

task_names_Param function

<dl><dt>task_names</dt>
<dd>(Optional) Names of tasks represented in design matrix.</dd></dl>

Arguments

task_names — task_names_Param

<dl>

<dt>task_names</dt>
<dd>(Optional) Names of tasks represented in design matrix.</dd>

</dl>

task_names

task_names_Param: task_names

Description

Arguments