resamp_res_Param_BayesGLM

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

resamp_res_Param_BayesGLM function

<dl><dt>resamp_res</dt>
<dd>For cortex spatial model. The number of vertices to which
each cortical surface should be resampled, or <code>NULL</code> to not resample.
For computational feasibility, a value of <code>10000</code> (default) or lower is
recommended for Bayesian spatial modeling. If <code>Bayes=FALSE</code>,
<code>resamp_res</code> can be set to <code>NULL</code> for full-resolution classical
modeling.</dd></dl>

Arguments

resamp_res — resamp_res_Param_BayesGLM

<dl>

<dt>resamp_res</dt>
<dd>For cortex spatial model. The number of vertices to which
each cortical surface should be resampled, or <code>NULL</code> to not resample.
For computational feasibility, a value of <code>10000</code> (default) or lower is
recommended for Bayesian spatial modeling. If <code>Bayes=FALSE</code>,
<code>resamp_res</code> can be set to <code>NULL</code> for full-resolution classical
modeling.</dd>

</dl>

resamp_res

resamp_res_Param_BayesGLM: resamp_res

Description

Arguments