retro_mask_fit_bglm

Retroactively mask locations from fit_bglm result.

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

Damon Pham

David Bolin

Yu (Ryan) Yue

Daniel Spencer

Sarah Ryan

retro_mask_fit_bglm function

<dl><dt>x</dt>
<dd>The <code>"fit_bglm"</code> result</dd>
<dt>mask</dt>
<dd>The mask to be applied to <code>x</code>. It's relative to the full
mesh/voxel array, not <code>x</code>.</dd></dl>

Arguments

Retroactively mask locations from fit_bglm result. — retro_mask_fit_bglm

<dl>

<dt>x</dt>
<dd>The <code>"fit_bglm"</code> result</dd>


<dt>mask</dt>
<dd>The mask to be applied to <code>x</code>. It's relative to the full
mesh/voxel array, not <code>x</code>.</dd>

</dl>

retro_mask_fit_bglm: Retroactively mask locations from fit_bglm result.

Description

Usage

Value

Arguments