estimate_template_from_DR

Estimate variance decomposition and templates from DR estimates.

Implements the template ICA (independent components analysis) model
proposed in Mejia et al. (2020) <doi:10.1080/01621459.2019.1679638> and the
spatial template 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

templateICAr

Estimate Brain Networks and Connectivity with ICA and Empirical
Priors

Damon Pham

Daniel Spencer

Mary Beth Nebel

estimate_template_from_DR function

<dl><dt>DR</dt>
<dd>the test/retest dual regression estimates, as an array with
dimensions \(M \times N \times (L \times V)\), where \(M\) is the number
of visits (2), \(N\) is the number of subjects, \(L\) is the number of
IC networks, and \(V\) is the number of data locations.
(\(L\) and \(V\) are collapsed because they are treated equivalently
in the context of calculating the variance decomposition and templates).</dd>
<dt>LV</dt>
<dd>A length-two integer vector giving the dimensions \(L\) and
\(V\) to reshape the result. Default: <code>NULL</code> (do not reshape the
result).</dd></dl>

Arguments

Estimate template from DR — estimate_template_from_DR

<dl>

<dt>DR</dt>
<dd>the test/retest dual regression estimates, as an array with
dimensions \(M \times N \times (L \times V)\), where \(M\) is the number
of visits (2), \(N\) is the number of subjects, \(L\) is the number of
IC networks, and \(V\) is the number of data locations.
(\(L\) and \(V\) are collapsed because they are treated equivalently
in the context of calculating the variance decomposition and templates).</dd>


<dt>LV</dt>
<dd>A length-two integer vector giving the dimensions \(L\) and
\(V\) to reshape the result. Default: <code>NULL</code> (do not reshape the
result).</dd>

</dl>

estimate_template_from_DR: Estimate template from DR

Description

Usage

Value

Arguments