retro_mask_act

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_act function

<dl><dt>x</dt>
<dd>The activations object</dd>
<dt>Masks</dt>
<dd>The masks to be applied to each brain structure of <code>x</code>.</dd></dl>

Arguments

Retroactively mask activations — retro_mask_act

<dl>

<dt>x</dt>
<dd>The activations object</dd>


<dt>Masks</dt>
<dd>The masks to be applied to each brain structure of <code>x</code>.</dd>

</dl>

Retroactively mask activations

retro_mask_act: Retroactively mask activations

Description

Usage

Value

Arguments