TR_Param_BayesGLM

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

TR_Param_BayesGLM function

<dl><dt>TR</dt>
<dd>Temporal resolution of the data, in seconds.</dd></dl>

Arguments

TR — TR_Param_BayesGLM

<dl>

<dt>TR</dt>
<dd>Temporal resolution of the data, in seconds.</dd>

</dl>

TR_Param_BayesGLM: TR

Description

Arguments