act_prevalance

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

act_prevalance function

<dl><dt>act_list</dt>
<dd>List of activations from <code>id_activations</code>. All
should have the same sessions, fields, and brainstructures.</dd></dl>

Arguments

Activations prevalence. — act_prevalance

<dl>

<dt>act_list</dt>
<dd>List of activations from <code>id_activations</code>. All
should have the same sessions, fields, and brainstructures.</dd>

</dl>

Activations prevalence.

act_prevalance: Activations prevalence.

Description

Usage

Value

Arguments