fslr_to_fs5_map

<p>fslr template object for nearest neighbor conversion in fslr_to_fs5()</p>

datasets

Provides functions to run statistical analyses on
surface-based neuroimaging data, computing measures including cortical
thickness and surface area of the whole-brain and of the hippocampi.
It can make use of 'FreeSurfer', 'fMRIprep', 'XCP-D', 'HCP' and 'CAT12'
preprocessed datasets, 'HippUnfold' hippocampal outputs and
'SubCortexMesh' subcortical outputs for a given sample by
restructuring the data values into a single file. The single file can
then be used by the package for analyses independently from its base
dataset and without need for its access.

Charly Billaud

VertexWiseR

Simplified Vertex-Wise Analyses of Whole-Brain and Subcortical
Surface

Junhong Yu

fslr_to_fs5_map function


<div class="section" id="fslr-to-fs-map">
<h3><code>fslr_to_fs5_map</code></h3><p></p><p>
</p><p>An array of 64984 integers</p><dl>
<dt>vertices</dt>
<dd><p>64984 integers corresponding to each fslr vertex</p></dd><p></p><p>
</p></dl><p></p><p></p></div>


Format

fslr template object for nearest neighbor conversion in fslr_to_fs5() — fslr_to_fs5_map


<div class='section' id='fslr-to-fs-map'>
<h3><code>fslr_to_fs5_map</code></h3>


<p>An array of 64984 integers</p><dl>
<dt>vertices</dt>
<dd><p>64984 integers corresponding to each fslr vertex</p></dd>


</dl>

</div>


fslr_to_fs5_map: fslr template object for nearest neighbor conversion in fslr_to_fs5()

Description

Usage

Arguments

Format

`fslr_to_fs5_map`