session_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

session_names_Param function

<dl><dt>session_names</dt>
<dd>(Optional, and only relevant for multi-session modeling)
Names of each session. Default: <code>NULL</code>. In <code>BayesGLM</code> this
argument will overwrite the names of the list entries in <code>data</code>, if
both exist.</dd></dl>

Arguments

session_names — session_names_Param

<dl>

<dt>session_names</dt>
<dd>(Optional, and only relevant for multi-session modeling)
Names of each session. Default: <code>NULL</code>. In <code>BayesGLM</code> this
argument will overwrite the names of the list entries in <code>data</code>, if
both exist.</dd>

</dl>

session_names

session_names_Param: session_names

Description

Arguments