intersect_mask

Intersection mask for BayesGLM or activations 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

intersect_mask function

<dl><dt>x</dt>
<dd>The list of <code>"fit_bglm"</code>, <code>"BGLM"</code>, or <code>"act_BGLM"</code> objects.</dd></dl>

Arguments

Intersection mask for BayesGLM or activations result — intersect_mask

<dl>

<dt>x</dt>
<dd>The list of <code>"fit_bglm"</code>, <code>"BGLM"</code>, or <code>"act_BGLM"</code> objects.</dd>

</dl>

intersect_mask: Intersection mask for BayesGLM or activations result

Description

Usage

Value

Arguments