update_A

Update A for VB FC Bayesian brain mapping using IW prior on FC

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_A function

<dl><dt>mu_tau2, mu_S, E_SSt</dt>
<dd>Most recent estimates of posterior
moments for these variables.</dd>
<dt>BOLD</dt>
<dd>(\(T \times V\) matrix) preprocessed fMRI data.</dd>
<dt>ntime, nNets, nvox</dt>
<dd>Number of timepoints, number of , number of locations</dd>
<dt>u_samps</dt>
<dd>Samples from Gamma for multivariate t prior on A</dd>
<dt>prior_FC</dt>
<dd>IW parameters for FC prior</dd>
<dt>usePar</dt>
<dd>Parallelize the computation? Default: <code>FALSE</code>. Can be the
number of cores to use or <code>TRUE</code>, which will use the number available minus two.</dd>
<dt>final</dt>
<dd>If TRUE, return cov_A. Default: <code>FALSE</code></dd></dl>

Arguments

Update A for VB FC Bayesian brain mapping using IW prior on FC — update_A

<dl>

<dt>mu_tau2, mu_S, E_SSt</dt>
<dd>Most recent estimates of posterior
moments for these variables.</dd>


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


<dt>ntime, nNets, nvox</dt>
<dd>Number of timepoints, number of , number of locations</dd>


<dt>u_samps</dt>
<dd>Samples from Gamma for multivariate t prior on A</dd>


<dt>prior_FC</dt>
<dd>IW parameters for FC prior</dd>


<dt>usePar</dt>
<dd>Parallelize the computation? Default: <code>FALSE</code>. Can be the
number of cores to use or <code>TRUE</code>, which will use the number available minus two.</dd>


<dt>final</dt>
<dd>If TRUE, return cov_A. Default: <code>FALSE</code></dd>

</dl>

update_A: Update A for VB FC Bayesian brain mapping using IW prior on FC

Description

Usage

Value

Arguments