update_tau2

Update tau for VB FC Bayesian brain mapping

internal

Implements Bayesian brain mapping models, including the prior
ICA (independent components analysis) model proposed in Mejia et al. (2020)
<doi:10.1080/01621459.2019.1679638> and the spatial prior ICA model
proposed in proposed in Mejia et al. (2022)
<doi:10.1080/10618600.2022.2104289>. Both models estimate subject-level
brain as deviations from known population-level networks, which are
estimated using standard ICA algorithms. Both models employ an
expectation-maximization algorithm for estimation of the latent brain
networks and unknown model parameters. Includes direct support for 'CIFTI',
'GIFTI', and 'NIFTI' neuroimaging file formats.

Amanda Mejia

BayesBrainMap

Estimate Brain Networks and Connectivity with Population-Derived
Priors

Damon Pham

Daniel Spencer

Mary Beth Nebel

update_tau2 function

<dl><dt>BOLD</dt>
<dd>(\(T \times V\) matrix) preprocessed fMRI data.</dd>
<dt>BOLD2</dt>
<dd>A precomputed quantity, <code>sum(BOLD^2)</code></dd>
<dt>mu_A, E_AtA, mu_S, E_SSt</dt>
<dd>Current posterior estimates</dd>
<dt>prior_params</dt>
<dd>Alpha and beta parameters of IG prior on \(\tau^2\)
(error variance).</dd>
<dt>ntime, nvox</dt>
<dd>Number of timepoints in data and the number of data
locations.</dd></dl>

Arguments

Update tau for VB FC Bayesian brain mapping — update_tau2

<dl>

<dt>BOLD</dt>
<dd>(\(T \times V\) matrix) preprocessed fMRI data.</dd>


<dt>BOLD2</dt>
<dd>A precomputed quantity, <code>sum(BOLD^2)</code></dd>


<dt>mu_A, E_AtA, mu_S, E_SSt</dt>
<dd>Current posterior estimates</dd>


<dt>prior_params</dt>
<dd>Alpha and beta parameters of IG prior on \(\tau^2\)
(error variance).</dd>


<dt>ntime, nvox</dt>
<dd>Number of timepoints in data and the number of data
locations.</dd>

</dl>

update_tau2: Update tau for VB FC Bayesian brain mapping

Description

Usage

Value

Arguments