plot.act_BayesGLM_cifti

S3 method: use <code>view_xifti_surface</code> to plot a <code>"act_BayesGLM_cifti"</code> object

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

plot.act_BayesGLM_cifti function

<dl><dt>x</dt>
<dd>An object of class "act_BayesGLM_cifti"</dd>
<dt>idx</dt>
<dd>Which task should be plotted? Give the numeric indices or the
names. <code>NULL</code> (default) will show all tasks. This argument overrides
the <code>idx</code> argument to <code>view_xifti_surface</code>.</dd>
<dt>session</dt>
<dd>Which session should be plotted? <code>NULL</code> (default) will
use the first.</dd>
<dt>...</dt>
<dd>Additional arguments to <code>view_xifti_surface</code></dd></dl>

Arguments

S3 method: use view_xifti_surface to plot a "act_BayesGLM_cifti" object — plot.act_BayesGLM_cifti

<dl>

<dt>x</dt>
<dd>An object of class "act_BayesGLM_cifti"</dd>


<dt>idx</dt>
<dd>Which task should be plotted? Give the numeric indices or the
names. <code>NULL</code> (default) will show all tasks. This argument overrides
the <code>idx</code> argument to <code>view_xifti_surface</code>.</dd>


<dt>session</dt>
<dd>Which session should be plotted? <code>NULL</code> (default) will
use the first.</dd>


<dt>...</dt>
<dd>Additional arguments to <code>view_xifti_surface</code></dd>

</dl>

plot.act_BayesGLM_cifti: S3 method: use `view_xifti_surface` to plot a `"act_BayesGLM_cifti"` object

Description

Usage

Value

Arguments