surfaces_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

surfaces_Param_BayesGLM function

<dl><dt>surfL, surfR</dt>
<dd>For cortex spatial model. Left and right cortex surface
geometry in GIFTI format ("*.surf.gii"). These can be a file path to
a GIFTI file or a <code>"surf"</code> object from <code>ciftiTools</code>.
Surfaces can alternatively be provided through the <code>$surf</code> metadata in
<code>BOLD</code> if it is <code>"xifti"</code> data. If neither are provided, by default the
HCP group-average fs_LR inflated surfaces included in <code>ciftiTools</code> will be
used for the cortex spatial model.</dd></dl>

Arguments

surfaces — surfaces_Param_BayesGLM

<dl>

<dt>surfL, surfR</dt>
<dd>For cortex spatial model. Left and right cortex surface
geometry in GIFTI format ("*.surf.gii"). These can be a file path to
a GIFTI file or a <code>"surf"</code> object from <code>ciftiTools</code>.
Surfaces can alternatively be provided through the <code>$surf</code> metadata in
<code>BOLD</code> if it is <code>"xifti"</code> data. If neither are provided, by default the
HCP group-average fs_LR inflated surfaces included in <code>ciftiTools</code> will be
used for the cortex spatial model.</dd>

</dl>

surfaces

surfaces_Param_BayesGLM: surfaces

Description

Arguments