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

Damon Pham

David Bolin

Yu (Ryan) Yue

Daniel Spencer

Sarah Ryan

session_names_Param function

<dl><dt>session_names</dt>
<dd>The names of the task-fMRI <code>BOLD</code> sessions, for
multi-session analysis. If not provided here, will be inferred from
<code>names(BOLD)</code>, inferred from <code>names(design)</code>, or generated
automatically, in that order.</dd></dl>

Arguments

session_names — session_names_Param

<dl>

<dt>session_names</dt>
<dd>The names of the task-fMRI <code>BOLD</code> sessions, for
multi-session analysis. If not provided here, will be inferred from
<code>names(BOLD)</code>, inferred from <code>names(design)</code>, or generated
automatically, in that order.</dd>

</dl>

session_names

session_names_Param: session_names

Description

Arguments