make_A_mat_rs

Make the A matrix for downsampling surface mesh data to a lower resolution.

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

make_A_mat_rs function

<dl><dt>surf</dt>
<dd>The full-resolution <code>"surf"</code> object.</dd>
<dt>surf_rs</dt>
<dd>The downsampled <code>"surf"</code> object.</dd></dl>

Arguments

Make A matrix with resampling framework — make_A_mat_rs

<dl>

<dt>surf</dt>
<dd>The full-resolution <code>"surf"</code> object.</dd>


<dt>surf_rs</dt>
<dd>The downsampled <code>"surf"</code> object.</dd>

</dl>

make_A_mat_rs: Make A matrix with resampling framework

Description

Usage

Value

Arguments