fs6_to_fs5_map

<p>fsaverage6 template object for nearest neighbor conversion in fs6_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', 'HCP' and 'CAT12' preprocessed
datasets and 'HippUnfold' hippocampal segmentation 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 Hippocampal
Surface

Junhong Yu

fs6_to_fs5_map function


<div class="section" id="fs-to-fs-map">
<h3><code>fs6_to_fs5_map</code></h3><p></p><p>
</p><p>An array of 81924 integers ()</p><dl>
<dt>vertices</dt>
<dd><p>81924 integers corresponding to each fsaverage6 vertex</p></dd><p></p><p>
</p></dl><p></p><p></p></div>


Format

fsaverage6 template object for nearest neighbor conversion in fs6_to_fs5() — fs6_to_fs5_map


<div class='section' id='fs-to-fs-map'>
<h3><code>fs6_to_fs5_map</code></h3>


<p>An array of 81924 integers ()</p><dl>
<dt>vertices</dt>
<dd><p>81924 integers corresponding to each fsaverage6 vertex</p></dd>


</dl>

</div>


fs6_to_fs5_map: fsaverage6 template object for nearest neighbor conversion in fs6_to_fs5()

Description

Usage

Arguments

Format

`fs6_to_fs5_map`