ROImap_hip

<p>A list containing 1) a matrix listing CITI168 vertices and each parcellation number they correspond to, and  2) a data frame listing the  hippocampal atlas labels.</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' and 'HCP' 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

ROImap_hip function


<div class="section" id="roimap-hip">
<h3><code>ROImap_hip</code></h3><p></p><p>
</p><p>A list object with two data frame objects: ()</p><dl>
<dt>vertices</dt>
<dd><p>array of 14524 numeric vectors (vertices)</p></dd><p></p><p><dt>atlases</dt>
<dd><p>data frame with 10 rows listing names of left and right hippocampal subfields</p></dd></p><p>
</p></dl><p></p><p></p></div>


Format

Atlas parcellations of the hippocampus (CITI168) — ROImap_hip


<div class='section' id='roimap-hip'>
<h3><code>ROImap_hip</code></h3>


<p>A list object with two data frame objects: ()</p><dl>
<dt>vertices</dt>
<dd><p>array of 14524 numeric vectors (vertices)</p></dd>

<dt>atlases</dt>
<dd><p>data frame with 10 rows listing names of left and right hippocampal subfields</p></dd>


</dl>

</div>


ROImap_hip: Atlas parcellations of the hippocampus (CITI168)

Description

Usage

Arguments

Format

`ROImap_hip`