scale_BOLD

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

scale_BOLD function

<dl><dt>BOLD</dt>
<dd>fMRI data as a locations by time (\(V \times T\)) numeric
matrix.</dd>
<dt>scale</dt>
<dd>Option for scaling the BOLD response.</dd>
<dt>v_means</dt>
<dd>Original means of the BOLD data. ONLY provide if data has
already been centered.
<div class="sourceCode"></div><pre><code>\code{"mean"} scaling will scale the data to percent local signal change.</code></pre></dd>\code{"sd"} scaling will scale the data by local standard deviation.\code{"none"} will only center the data, not scale it.
</dl>

Arguments

Scale the BOLD timeseries — scale_BOLD

<dl>

<dt>BOLD</dt>
<dd>fMRI data as a locations by time (\(V \times T\)) numeric
matrix.</dd>


<dt>scale</dt>
<dd>Option for scaling the BOLD response.</dd>


<dt>v_means</dt>
<dd>Original means of the BOLD data. ONLY provide if data has
already been centered.
<div class="sourceCode"><pre><code>\code{"mean"} scaling will scale the data to percent local signal change.

\code{"sd"} scaling will scale the data by local standard deviation.

\code{"none"} will only center the data, not scale it.
</code></pre></div></dd>

</dl>

Scale the BOLD timeseries

scale_BOLD: Scale the BOLD timeseries

Description

Usage

Value

Arguments