feedback

A dataset containing the parameter estimates of
the atlas-based middle frontal gyrus (Harvard-Oxford cortical atlas;
thresholded at 50%; center-of-mass coordinates x = -4, y = 22, z = 43),
), with one value for the mean activation during learning and one value
for the mean activation during application for all participants.

datasets

Calculate the precision in mean differences (raw or Cohen's D) and
correlation coefficients for different sample sizes. Uses permutations of the
collected functional magnetic resonance imaging (fMRI) region of interest data.
Method described in Klapwijk, Jongerling, Hoijtink and Crone (2024)
<doi:10.31234/osf.io/cz32t>.

Eduard Klapwijk

neuroUp

Plan Sample Size for Task fMRI Research using Bayesian Updating

Herbert Hoijtink

Joran Jongerling

feedback function

A data frame with 271 rows and 4 variables:<dl>
<dt>participant_id</dt>
<dd>unique id for every participant</dd><dt>age</dt>
<dd>age in years (8.01-25.95)</dd><dt>mfg_learning</dt>
<dd>parameter estimates for the middle frontal gyrus during
the learning phase (-2.54-4.83)</dd><dt>mfg_application</dt>
<dd>parameter estimates for the middle frontal gyrus during
the application phase (-6.46-3.09)</dd>
</dl>

Format

Feedback task fMRI region of interest data — feedback

A data frame with 271 rows and 4 variables:<dl>
<dt>participant_id</dt>
<dd>unique id for every participant</dd>

<dt>age</dt>
<dd>age in years (8.01-25.95)</dd>

<dt>mfg_learning</dt>
<dd>parameter estimates for the middle frontal gyrus during
the learning phase (-2.54-4.83)</dd>

<dt>mfg_application</dt>
<dd>parameter estimates for the middle frontal gyrus during
the application phase (-6.46-3.09)</dd>


</dl>

feedback: Feedback task fMRI region of interest data

Description

Usage

Arguments

Format