retro_mask_mesh

internal

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

retro_mask_mesh function

<dl><dt>x</dt>
<dd>The mesh</dd>
<dt>mask</dt>
<dd>The mask to be applied to <code>x</code> (on top of any masks already
applied to it.)</dd></dl>

Arguments

Retroactively mask locations from mesh. — retro_mask_mesh

<dl>

<dt>x</dt>
<dd>The mesh</dd>


<dt>mask</dt>
<dd>The mask to be applied to <code>x</code> (on top of any masks already
applied to it.)</dd>

</dl>

Retroactively mask locations from mesh.

retro_mask_mesh: Retroactively mask locations from mesh.

Description

Usage

Value

Arguments