combine_sessions_Param

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

combine_sessions_Param function

<dl><dt>combine_sessions</dt>
<dd>If multiple sessions are provided, should their data
be combined and analyzed as a single session?
If <code>TRUE</code> (default), the multiple sessions will be concatenated along
time after scaling and nuisance regression, but before prewhitening. If
<code>FALSE</code>, each session will be analyzed separately, except that a single
estimate of the AR model coefficients for prewhitening is used, estimated
across all sessions.</dd></dl>

Arguments

combine_sessions — combine_sessions_Param

<dl>

<dt>combine_sessions</dt>
<dd>If multiple sessions are provided, should their data
be combined and analyzed as a single session?
If <code>TRUE</code> (default), the multiple sessions will be concatenated along
time after scaling and nuisance regression, but before prewhitening. If
<code>FALSE</code>, each session will be analyzed separately, except that a single
estimate of the AR model coefficients for prewhitening is used, estimated
across all sessions.</dd>

</dl>

combine_sessions

combine_sessions_Param: combine_sessions

Description

Arguments