<?xml version="1.0" encoding="UTF-8"?>
<GIFTI xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
       xsi:noNamespaceSchemaLocation="http://brainvis.wustl.edu/caret6/xml_schemas/GIFTI_Caret.xsd"
       Version="1"
       NumberOfDataArrays="1">
   <MetaData>
      <MD>
         <Name><![CDATA[AnatomicalStructurePrimary]]></Name>
         <Value><![CDATA[CortexRight]]></Value>
      </MD>
      <MD>
         <Name><![CDATA[Date]]></Name>
         <Value><![CDATA[Fri Mar 27 18:24:26 2020]]></Value>
      </MD>
      <MD>
         <Name><![CDATA[UserName]]></Name>
         <Value><![CDATA[llewis]]></Value>
      </MD>
      <MD>
         <Name><![CDATA[gifticlib-version]]></Name>
         <Value><![CDATA[gifti library version 1.09, 28 June, 2010]]></Value>
      </MD>
   </MetaData>
   <LabelTable>
      <Label Key="0" Red="0" Green="0" Blue="0" Alpha="0"><![CDATA[???]]></Label>
      <Label Key="1" Red="0.0980392" Green="0.392157" Blue="0.156863" Alpha="1"><![CDATA[bankssts]]></Label>
      <Label Key="2" Red="0.490196" Green="0.392157" Blue="0.627451" Alpha="1"><![CDATA[caudalanteriorcingulate]]></Label>
      <Label Key="3" Red="0.392157" Green="0.0980392" Blue="0" Alpha="1"><![CDATA[caudalmiddlefrontal]]></Label>
      <Label Key="4" Red="0.470588" Green="0.27451" Blue="0.196078" Alpha="1"><![CDATA[corpuscallosum]]></Label>
      <Label Key="5" Red="0.862745" Green="0.0784314" Blue="0.392157" Alpha="1"><![CDATA[cuneus]]></Label>
      <Label Key="6" Red="0.862745" Green="0.0784314" Blue="0.0392157" Alpha="1"><![CDATA[entorhinal]]></Label>
      <Label Key="7" Red="0.705882" Green="0.862745" Blue="0.54902" Alpha="1"><![CDATA[fusiform]]></Label>
      <Label Key="8" Red="0.862745" Green="0.235294" Blue="0.862745" Alpha="1"><![CDATA[inferiorparietal]]></Label>
      <Label Key="9" Red="0.705882" Green="0.156863" Blue="0.470588" Alpha="1"><![CDATA[inferiortemporal]]></Label>
      <Label Key="10" Red="0.54902" Green="0.0784314" Blue="0.54902" Alpha="1"><![CDATA[isthmuscingulate]]></Label>
      <Label Key="11" Red="0.0784314" Green="0.117647" Blue="0.54902" Alpha="1"><![CDATA[lateraloccipital]]></Label>
      <Label Key="12" Red="0.137255" Green="0.294118" Blue="0.196078" Alpha="1"><![CDATA[lateralorbitofrontal]]></Label>
      <Label Key="13" Red="0.882353" Green="0.54902" Blue="0.54902" Alpha="1"><![CDATA[lingual]]></Label>
      <Label Key="14" Red="0.784314" Green="0.137255" Blue="0.294118" Alpha="1"><![CDATA[medialorbitofrontal]]></Label>
      <Label Key="15" Red="0.627451" Green="0.392157" Blue="0.196078" Alpha="1"><![CDATA[middletemporal]]></Label>
      <Label Key="16" Red="0.0784314" Green="0.862745" Blue="0.235294" Alpha="1"><![CDATA[parahippocampal]]></Label>
      <Label Key="17" Red="0.235294" Green="0.862745" Blue="0.235294" Alpha="1"><![CDATA[paracentral]]></Label>
      <Label Key="18" Red="0.862745" Green="0.705882" Blue="0.54902" Alpha="1"><![CDATA[parsopercularis]]></Label>
      <Label Key="19" Red="0.0784314" Green="0.392157" Blue="0.196078" Alpha="1"><![CDATA[parsorbitalis]]></Label>
      <Label Key="20" Red="0.862745" Green="0.235294" Blue="0.0784314" Alpha="1"><![CDATA[parstriangularis]]></Label>
      <Label Key="21" Red="0.470588" Green="0.392157" Blue="0.235294" Alpha="1"><![CDATA[pericalcarine]]></Label>
      <Label Key="22" Red="0.862745" Green="0.0784314" Blue="0.0784314" Alpha="1"><![CDATA[postcentral]]></Label>
      <Label Key="23" Red="0.862745" Green="0.705882" Blue="0.862745" Alpha="1"><![CDATA[posteriorcingulate]]></Label>
      <Label Key="24" Red="0.235294" Green="0.0784314" Blue="0.862745" Alpha="1"><![CDATA[precentral]]></Label>
      <Label Key="25" Red="0.627451" Green="0.54902" Blue="0.705882" Alpha="1"><![CDATA[precuneus]]></Label>
      <Label Key="26" Red="0.313726" Green="0.0784314" Blue="0.54902" Alpha="1"><![CDATA[rostralanteriorcingulate]]></Label>
      <Label Key="27" Red="0.294118" Green="0.196078" Blue="0.490196" Alpha="1"><![CDATA[rostralmiddlefrontal]]></Label>
      <Label Key="28" Red="0.0784314" Green="0.862745" Blue="0.627451" Alpha="1"><![CDATA[superiorfrontal]]></Label>
      <Label Key="29" Red="0.0784314" Green="0.705882" Blue="0.54902" Alpha="1"><![CDATA[superiorparietal]]></Label>
      <Label Key="30" Red="0.54902" Green="0.862745" Blue="0.862745" Alpha="1"><![CDATA[superiortemporal]]></Label>
      <Label Key="31" Red="0.313726" Green="0.627451" Blue="0.0784314" Alpha="1"><![CDATA[supramarginal]]></Label>
      <Label Key="32" Red="0.392157" Green="0" Blue="0.392157" Alpha="1"><![CDATA[frontalpole]]></Label>
      <Label Key="33" Red="0.27451" Green="0.0784314" Blue="0.666667" Alpha="1"><![CDATA[temporalpole]]></Label>
      <Label Key="34" Red="0.588235" Green="0.588235" Blue="0.784314" Alpha="1"><![CDATA[transversetemporal]]></Label>
      <Label Key="35" Red="1" Green="0.752941" Blue="0.12549" Alpha="1"><![CDATA[insula]]></Label>
   </LabelTable>
<DataArray Intent="NIFTI_INTENT_LABEL"
           DataType="NIFTI_TYPE_INT32"
           ArrayIndexingOrder="RowMajorOrder"
           Dimensionality="1"
           Dim0="163842"
           Encoding="GZipBase64Binary"
           Endian="LittleEndian"
           ExternalFileName=""
           ExternalFileOffset="0">
   <MetaData>
      <MD>
         <Name><![CDATA[Name]]></Name>
         <Value><![CDATA[node label]]></Value>
      </MD>
   </MetaData>
   <Data>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</Data>
</DataArray>
</GIFTI>
