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<meta name="DC.Title" content="DTI Analysis of Presbycusis Using Voxel-Based Analysis" />
<meta name="DC.Identifier" content="10.3174/ajnr.A4870" />
<meta name="DC.Date" content="2016-11-01" />
<meta name="DC.Publisher" content="American Journal of Neuroradiology" />
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<meta name="DC.Description" content="BACKGROUND AND PURPOSE: Presbycusis is the most common sensory deficit in the aging population. A recent study reported using a DTI-based tractography technique to identify a lack of integrity in a portion of the auditory pathway in patients with presbycusis. The aim of our study was to investigate the white matter pathology of patients with presbycusis by using a voxel-based analysis that is highly sensitive to local intensity changes in DTI data.

MATERIALS AND METHODS: Fifteen patients with presbycusis and 14 age- and sex-matched healthy controls were scanned on a 3T scanner. Fractional anisotropy, mean diffusivity, axial diffusivity, and radial diffusivity were obtained from the DTI data. Intergroup statistics were implemented on these measurements, which were transformed to Montreal Neurological Institute coordinates by using a nonrigid image registration method called large deformation diffeomorphic metric mapping.

RESULTS: Increased axial diffusivity, radial diffusivity, and mean diffusivity and decreased fractional anisotropy were found near the right-side hearing-related areas in patients with presbycusis. Increased radial diffusivity and mean diffusivity were also found near a language-related area (Broca area) in patients with presbycusis.

CONCLUSIONS: Our findings could be important for exploring reliable imaging evidence of presbycusis and could complement an ROI-based approach.

DA
:   axial diffusivity
dB HL
:   decibel hearing level
DR
:   radial diffusivity
FA
:   fractional anisotropy
MD
:   mean diffusivity
PTA
:   pure-tone average" />
<meta name="DC.Contributor" content="W. Ma" />
<meta name="DC.Contributor" content="M. Li" />
<meta name="DC.Contributor" content="F. Gao" />
<meta name="DC.Contributor" content="X. Zhang" />
<meta name="DC.Contributor" content="L. Shi" />
<meta name="DC.Contributor" content="L. Yu" />
<meta name="DC.Contributor" content="B. Zhao" />
<meta name="DC.Contributor" content="W. Chen" />
<meta name="DC.Contributor" content="G. Wang" />
<meta name="DC.Contributor" content="X. Wang" />
<meta name="article:published_time" content="2016-11-01" />
<meta name="article:section" content="FUNCTIONAL" />
<meta name="citation_title" content="DTI Analysis of Presbycusis Using Voxel-Based Analysis" />
<meta name="citation_abstract" lang="en" content="&lt;h3&gt;BACKGROUND AND PURPOSE:&lt;/h3&gt;
&lt;p&gt;Presbycusis is the most common sensory deficit in the aging population. A recent study reported using a DTI-based tractography technique to identify a lack of integrity in a portion of the auditory pathway in patients with presbycusis. The aim of our study was to investigate the white matter pathology of patients with presbycusis by using a voxel-based analysis that is highly sensitive to local intensity changes in DTI data.&lt;/p&gt;&lt;h3&gt;MATERIALS AND METHODS:&lt;/h3&gt;
&lt;p&gt;Fifteen patients with presbycusis and 14 age- and sex-matched healthy controls were scanned on a 3T scanner. Fractional anisotropy, mean diffusivity, axial diffusivity, and radial diffusivity were obtained from the DTI data. Intergroup statistics were implemented on these measurements, which were transformed to Montreal Neurological Institute coordinates by using a nonrigid image registration method called large deformation diffeomorphic metric mapping.&lt;/p&gt;&lt;h3&gt;RESULTS:&lt;/h3&gt;
&lt;p&gt;Increased axial diffusivity, radial diffusivity, and mean diffusivity and decreased fractional anisotropy were found near the right-side hearing-related areas in patients with presbycusis. Increased radial diffusivity and mean diffusivity were also found near a language-related area (Broca area) in patients with presbycusis.&lt;/p&gt;&lt;h3&gt;CONCLUSIONS:&lt;/h3&gt;
&lt;p&gt;Our findings could be important for exploring reliable imaging evidence of presbycusis and could complement an ROI-based approach.&lt;/p&gt;" />
<meta name="citation_journal_title" content="American Journal of Neuroradiology" />
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<meta name="citation_author" content="W. Ma" />
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<meta name="citation_author" content="M. Li" />
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<meta name="citation_author" content="F. Gao" />
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<meta name="twitter:title" content="DTI Analysis of Presbycusis Using Voxel-Based Analysis" />
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<meta name="twitter:description" content="BACKGROUND AND PURPOSE: Presbycusis is the most common sensory deficit in the aging population. A recent study reported using a DTI-based tractography technique to identify a lack of integrity in a portion of the auditory pathway in patients with presbycusis. The aim of our study was to investigate the white matter pathology of patients with presbycusis by using a voxel-based analysis that is highly sensitive to local intensity changes in DTI data.

MATERIALS AND METHODS: Fifteen patients with presbycusis and 14 age- and sex-matched healthy controls were scanned on a 3T scanner. Fractional anisotropy, mean diffusivity, axial diffusivity, and radial diffusivity were obtained from the DTI data. Intergroup statistics were implemented on these measurements, which were transformed to Montreal Neurological Institute coordinates by using a nonrigid image registration method called large deformation diffeomorphic metric mapping.

RESULTS: Increased axial diffusivity, radial diffusivity, and mean diffusivity and decreased fractional anisotropy were found near the right-side hearing-related areas in patients with presbycusis. Increased radial diffusivity and mean diffusivity were also found near a language-related area (Broca area) in patients with presbycusis.

CONCLUSIONS: Our findings could be important for exploring reliable imaging evidence of presbycusis and could complement an ROI-based approach.

DA
:   axial diffusivity
dB HL
:   decibel hearing level
DR
:   radial diffusivity
FA
:   fractional anisotropy
MD
:   mean diffusivity
PTA
:   pure-tone average" />
<meta name="og-title" property="og:title" content="DTI Analysis of Presbycusis Using Voxel-Based Analysis" />
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<meta name="og-site-name" property="og:site_name" content="American Journal of Neuroradiology" />
<meta name="og-description" property="og:description" content="BACKGROUND AND PURPOSE: Presbycusis is the most common sensory deficit in the aging population. A recent study reported using a DTI-based tractography technique to identify a lack of integrity in a portion of the auditory pathway in patients with presbycusis. The aim of our study was to investigate the white matter pathology of patients with presbycusis by using a voxel-based analysis that is highly sensitive to local intensity changes in DTI data.

MATERIALS AND METHODS: Fifteen patients with presbycusis and 14 age- and sex-matched healthy controls were scanned on a 3T scanner. Fractional anisotropy, mean diffusivity, axial diffusivity, and radial diffusivity were obtained from the DTI data. Intergroup statistics were implemented on these measurements, which were transformed to Montreal Neurological Institute coordinates by using a nonrigid image registration method called large deformation diffeomorphic metric mapping.

RESULTS: Increased axial diffusivity, radial diffusivity, and mean diffusivity and decreased fractional anisotropy were found near the right-side hearing-related areas in patients with presbycusis. Increased radial diffusivity and mean diffusivity were also found near a language-related area (Broca area) in patients with presbycusis.

CONCLUSIONS: Our findings could be important for exploring reliable imaging evidence of presbycusis and could complement an ROI-based approach.

DA
:   axial diffusivity
dB HL
:   decibel hearing level
DR
:   radial diffusivity
FA
:   fractional anisotropy
MD
:   mean diffusivity
PTA
:   pure-tone average" />
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    <div class="highwire-article-citation highwire-citation-type-highwire-article node84--5" data-node-nid="84" id="top-node-84--62087714658" data-pisa="ajnr;37/11/2110" data-pisa-master="ajnr;ajnr.A4870" data-apath="/ajnr/37/11/2110.atom" data-hw-author-tooltip-instance="highwire_author_tooltip"><div class="highwire-cite highwire-cite-highwire-article highwire-citation-jcore-article-title-complete clearfix has-author-tooltip highwire-citation-highwire-article-top-a">
  
  
      <div class="highwire-cite-overline"><span  class="highwire-cite-metadata-article-type highwire-cite-metadata">Research Article</span><span class="separator-pipe"></span><span  class="highwire-cite-metadata-art-cat highwire-cite-metadata"><span class="wrapper">FUNCTIONAL</span></span></div>
  
      <div class="highwire-cite-access"><span class="highwire-citation-access"><i class="highwire-access-icon highwire-access-icon-open-access open-access hw-icon-open-access" title="Open Access" aria-hidden="true"></i><span  class="element-invisible highwire-access-icon highwire-access-icon-open-access" style="">Open Access</span></span></div>
  
      <h1 class="highwire-cite-title" id="page-title">DTI Analysis of Presbycusis Using Voxel-Based Analysis</h1>  
    	<div class="highwire-cite-authors"><span  class="highwire-citation-authors"><span class="highwire-citation-author first" data-delta="0">W. Ma</span>, <span class="highwire-citation-author" data-delta="1">M. Li</span>, <span class="highwire-citation-author" data-delta="2">F. Gao</span>, <span class="highwire-citation-author" data-delta="3">X. Zhang</span>, <span class="highwire-citation-author" data-delta="4">L. Shi</span>, <span class="highwire-citation-author" data-delta="5">L. Yu</span>, <span class="highwire-citation-author" data-delta="6">B. Zhao</span>, <span class="highwire-citation-author" data-delta="7">W. Chen</span>, <span class="highwire-citation-author" data-delta="8">G. Wang</span> and <span class="highwire-citation-author" data-delta="9">X. Wang</span></span></div>
  
    	<div class="highwire-cite-metadata"><span  class="highwire-cite-metadata-journal highwire-cite-metadata">American Journal of Neuroradiology </span><span  class="highwire-cite-metadata-date highwire-cite-metadata">November 2016,  </span><span  class="highwire-cite-metadata-volume highwire-cite-metadata">37 </span><span  class="highwire-cite-metadata-issue highwire-cite-metadata">(11) </span><span  class="highwire-cite-metadata-pages highwire-cite-metadata">2110-2114; </span><span  class="highwire-cite-metadata-doi highwire-cite-metadata">DOI: https://doi.org/10.3174/ajnr.A4870 </span></div>
  
  
  
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<div id="hw-article-author-popups-top-node-84--62087714658" style="display: none;"><div class="author-tooltip-0"><div class="author-tooltip-name">W. Ma </div><div class="author-tooltip-affiliation"><span class="author-tooltip-text"><div class='author-affiliation'><span class='nlm-sup'>a</span>From the Department of Otolaryngology (W.M., L.S.)</div><div class='author-affiliation'><span class='nlm-sup'>b</span>the Second Hospital of Shandong University, The Central Hospital of Jinan City (W.M., L.Y.)</div></span></div><ul class="author-tooltip-find-more"><li class="author-tooltip-gs-link first"><a href="/lookup/google-scholar?link_type=googlescholar&amp;gs_type=author&amp;author%5B0%5D=W.%2BMa%2B" target="_blank" class="" data-icon-position="" data-hide-link-title="0">Find this author on Google Scholar</a></li><li class="author-tooltip-pubmed-link"><a href="/lookup/external-ref?access_num=Ma%20W&amp;link_type=AUTHORSEARCH" target="_blank" class="" data-icon-position="" data-hide-link-title="0">Find this author on PubMed</a></li><li class="author-site-search-link"><a href="/search/author1%3AW.%2BMa%2B" rel="nofollow" class="" data-icon-position="" data-hide-link-title="0">Search for this author on this site</a></li><li class="author-orcid-link last"><a href="http://orcid.org/0000-0003-4673-6198" target="_blank" class="" data-icon-position="" data-hide-link-title="0">ORCID record for W. Ma</a></li></ul></div><div class="author-tooltip-1"><div class="author-tooltip-name">M. Li </div><div class="author-tooltip-affiliation"><span class="author-tooltip-text"><div class='author-affiliation'><span class='nlm-sup'>d</span>College of Electronics and Information Engineering (M.L.), Sichuan University, Chengdu, China</div></span></div><ul class="author-tooltip-find-more"><li class="author-tooltip-gs-link first"><a href="/lookup/google-scholar?link_type=googlescholar&amp;gs_type=author&amp;author%5B0%5D=M.%2BLi%2B" target="_blank" class="" data-icon-position="" data-hide-link-title="0">Find this author on Google Scholar</a></li><li class="author-tooltip-pubmed-link"><a href="/lookup/external-ref?access_num=Li%20M&amp;link_type=AUTHORSEARCH" target="_blank" class="" data-icon-position="" data-hide-link-title="0">Find this author on PubMed</a></li><li class="author-site-search-link"><a href="/search/author1%3AM.%2BLi%2B" rel="nofollow" class="" data-icon-position="" data-hide-link-title="0">Search for this author on this site</a></li><li class="author-orcid-link last"><a href="http://orcid.org/0000-0003-3596-9287" target="_blank" class="" data-icon-position="" data-hide-link-title="0">ORCID record for M. Li</a></li></ul></div><div class="author-tooltip-2"><div class="author-tooltip-name">F. Gao </div><div class="author-tooltip-affiliation"><span class="author-tooltip-text"><div class='author-affiliation'><span class='nlm-sup'>c</span>Shandong Medical Imaging Research Institute (F.G., X.Z., B.Z., G.W.), Shandong University, Jinan, China</div></span></div><ul class="author-tooltip-find-more"><li class="author-tooltip-gs-link first"><a href="/lookup/google-scholar?link_type=googlescholar&amp;gs_type=author&amp;author%5B0%5D=F.%2BGao%2B" target="_blank" class="" data-icon-position="" data-hide-link-title="0">Find this author on Google Scholar</a></li><li class="author-tooltip-pubmed-link"><a href="/lookup/external-ref?access_num=Gao%20F&amp;link_type=AUTHORSEARCH" target="_blank" class="" data-icon-position="" data-hide-link-title="0">Find this author on PubMed</a></li><li class="author-site-search-link"><a href="/search/author1%3AF.%2BGao%2B" rel="nofollow" class="" data-icon-position="" data-hide-link-title="0">Search for this author on this site</a></li><li class="author-orcid-link last"><a href="http://orcid.org/0000-0002-4343-0276" target="_blank" class="" data-icon-position="" data-hide-link-title="0">ORCID record for F. Gao</a></li></ul></div><div class="author-tooltip-3"><div class="author-tooltip-name">X. Zhang </div><div class="author-tooltip-affiliation"><span class="author-tooltip-text"><div class='author-affiliation'><span class='nlm-sup'>c</span>Shandong Medical Imaging Research Institute (F.G., X.Z., B.Z., G.W.), Shandong University, Jinan, China</div></span></div><ul class="author-tooltip-find-more"><li class="author-tooltip-gs-link first"><a href="/lookup/google-scholar?link_type=googlescholar&amp;gs_type=author&amp;author%5B0%5D=X.%2BZhang%2B" target="_blank" class="" data-icon-position="" data-hide-link-title="0">Find this author on Google Scholar</a></li><li class="author-tooltip-pubmed-link"><a href="/lookup/external-ref?access_num=Zhang%20X&amp;link_type=AUTHORSEARCH" target="_blank" class="" data-icon-position="" data-hide-link-title="0">Find this author on PubMed</a></li><li class="author-site-search-link"><a href="/search/author1%3AX.%2BZhang%2B" rel="nofollow" class="" data-icon-position="" data-hide-link-title="0">Search for this author on this site</a></li><li class="author-orcid-link last"><a href="http://orcid.org/0000-0002-0075-748X" target="_blank" class="" data-icon-position="" data-hide-link-title="0">ORCID record for X. Zhang</a></li></ul></div><div class="author-tooltip-4"><div class="author-tooltip-name">L. Shi </div><div class="author-tooltip-affiliation"><span class="author-tooltip-text"><div class='author-affiliation'><span class='nlm-sup'>a</span>From the Department of Otolaryngology (W.M., L.S.)</div></span></div><ul class="author-tooltip-find-more"><li class="author-tooltip-gs-link first"><a href="/lookup/google-scholar?link_type=googlescholar&amp;gs_type=author&amp;author%5B0%5D=L.%2BShi%2B" target="_blank" class="" data-icon-position="" data-hide-link-title="0">Find this author on Google Scholar</a></li><li class="author-tooltip-pubmed-link"><a href="/lookup/external-ref?access_num=Shi%20L&amp;link_type=AUTHORSEARCH" target="_blank" class="" data-icon-position="" data-hide-link-title="0">Find this author on PubMed</a></li><li class="author-site-search-link"><a href="/search/author1%3AL.%2BShi%2B" rel="nofollow" class="" data-icon-position="" data-hide-link-title="0">Search for this author on this site</a></li><li class="author-orcid-link last"><a href="http://orcid.org/0000-0003-4426-1774" target="_blank" class="" data-icon-position="" data-hide-link-title="0">ORCID record for L. Shi</a></li></ul></div><div class="author-tooltip-5"><div class="author-tooltip-name">L. Yu </div><div class="author-tooltip-affiliation"><span class="author-tooltip-text"><div class='author-affiliation'><span class='nlm-sup'>b</span>the Second Hospital of Shandong University, The Central Hospital of Jinan City (W.M., L.Y.)</div></span></div><ul class="author-tooltip-find-more"><li class="author-tooltip-gs-link first"><a href="/lookup/google-scholar?link_type=googlescholar&amp;gs_type=author&amp;author%5B0%5D=L.%2BYu%2B" target="_blank" class="" data-icon-position="" data-hide-link-title="0">Find this author on Google Scholar</a></li><li class="author-tooltip-pubmed-link"><a href="/lookup/external-ref?access_num=Yu%20L&amp;link_type=AUTHORSEARCH" target="_blank" class="" data-icon-position="" data-hide-link-title="0">Find this author on PubMed</a></li><li class="author-site-search-link"><a href="/search/author1%3AL.%2BYu%2B" rel="nofollow" class="" data-icon-position="" data-hide-link-title="0">Search for this author on this site</a></li><li class="author-orcid-link last"><a href="http://orcid.org/0000-0001-8048-8242" target="_blank" class="" data-icon-position="" data-hide-link-title="0">ORCID record for L. Yu</a></li></ul></div><div class="author-tooltip-6"><div class="author-tooltip-name">B. Zhao </div><div class="author-tooltip-affiliation"><span class="author-tooltip-text"><div class='author-affiliation'><span class='nlm-sup'>c</span>Shandong Medical Imaging Research Institute (F.G., X.Z., B.Z., G.W.), Shandong University, Jinan, China</div></span></div><ul class="author-tooltip-find-more"><li class="author-tooltip-gs-link first"><a href="/lookup/google-scholar?link_type=googlescholar&amp;gs_type=author&amp;author%5B0%5D=B.%2BZhao%2B" target="_blank" class="" data-icon-position="" data-hide-link-title="0">Find this author on Google Scholar</a></li><li class="author-tooltip-pubmed-link"><a href="/lookup/external-ref?access_num=Zhao%20B&amp;link_type=AUTHORSEARCH" target="_blank" class="" data-icon-position="" data-hide-link-title="0">Find this author on PubMed</a></li><li class="author-site-search-link"><a href="/search/author1%3AB.%2BZhao%2B" rel="nofollow" class="" data-icon-position="" data-hide-link-title="0">Search for this author on this site</a></li><li class="author-orcid-link last"><a href="http://orcid.org/0000-0002-3489-9435" target="_blank" class="" data-icon-position="" data-hide-link-title="0">ORCID record for B. Zhao</a></li></ul></div><div class="author-tooltip-7"><div class="author-tooltip-name">W. Chen </div><div class="author-tooltip-affiliation"><span class="author-tooltip-text"><div class='author-affiliation'><span class='nlm-sup'>e</span>Philips Healthcare (W.C.), Shanghai, China</div></span></div><ul class="author-tooltip-find-more"><li class="author-tooltip-gs-link first"><a href="/lookup/google-scholar?link_type=googlescholar&amp;gs_type=author&amp;author%5B0%5D=W.%2BChen%2B" target="_blank" class="" data-icon-position="" data-hide-link-title="0">Find this author on Google Scholar</a></li><li class="author-tooltip-pubmed-link"><a href="/lookup/external-ref?access_num=Chen%20W&amp;link_type=AUTHORSEARCH" target="_blank" class="" data-icon-position="" data-hide-link-title="0">Find this author on PubMed</a></li><li class="author-site-search-link"><a href="/search/author1%3AW.%2BChen%2B" rel="nofollow" class="" data-icon-position="" data-hide-link-title="0">Search for this author on this site</a></li><li class="author-orcid-link last"><a href="http://orcid.org/0000-0002-4727-3642" target="_blank" class="" data-icon-position="" data-hide-link-title="0">ORCID record for W. Chen</a></li></ul></div><div class="author-tooltip-8"><div class="author-tooltip-name">G. Wang </div><div class="author-tooltip-affiliation"><span class="author-tooltip-text"><div class='author-affiliation'><span class='nlm-sup'>c</span>Shandong Medical Imaging Research Institute (F.G., X.Z., B.Z., G.W.), Shandong University, Jinan, China</div></span></div><ul class="author-tooltip-find-more"><li class="author-tooltip-gs-link first"><a href="/lookup/google-scholar?link_type=googlescholar&amp;gs_type=author&amp;author%5B0%5D=G.%2BWang%2B" target="_blank" class="" data-icon-position="" data-hide-link-title="0">Find this author on Google Scholar</a></li><li class="author-tooltip-pubmed-link"><a href="/lookup/external-ref?access_num=Wang%20G&amp;link_type=AUTHORSEARCH" target="_blank" class="" data-icon-position="" data-hide-link-title="0">Find this author on PubMed</a></li><li class="author-site-search-link"><a href="/search/author1%3AG.%2BWang%2B" rel="nofollow" class="" data-icon-position="" data-hide-link-title="0">Search for this author on this site</a></li><li class="author-orcid-link last"><a href="http://orcid.org/0000-0001-7410-5540" target="_blank" class="" data-icon-position="" data-hide-link-title="0">ORCID record for G. Wang</a></li></ul></div><div class="author-tooltip-9"><div class="author-tooltip-name">X. Wang </div><div class="author-tooltip-affiliation"><span class="author-tooltip-text"><div class='author-affiliation'><span class='nlm-sup'>f</span>the Department of Radiation Oncology (X.W.), University of Nebraska Medical Center, Omaha, Nebraska.</div></span></div><ul class="author-tooltip-find-more"><li class="author-tooltip-gs-link first"><a href="/lookup/google-scholar?link_type=googlescholar&amp;gs_type=author&amp;author%5B0%5D=X.%2BWang%2B" target="_blank" class="" data-icon-position="" data-hide-link-title="0">Find this author on Google Scholar</a></li><li class="author-tooltip-pubmed-link"><a href="/lookup/external-ref?access_num=Wang%20X&amp;link_type=AUTHORSEARCH" target="_blank" class="" data-icon-position="" data-hide-link-title="0">Find this author on PubMed</a></li><li class="author-site-search-link"><a href="/search/author1%3AX.%2BWang%2B" rel="nofollow" class="" data-icon-position="" data-hide-link-title="0">Search for this author on this site</a></li><li class="author-orcid-link last"><a href="http://orcid.org/0000-0002-9519-8413" target="_blank" class="" data-icon-position="" data-hide-link-title="0">ORCID record for X. Wang</a></li></ul></div></div></div>  </div>

  
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    <div class="highwire-markup"><div xmlns="http://www.w3.org/1999/xhtml" data-highwire-cite-ref-tooltip-instance="highwire_reflinks_tooltip" class="content-block-markup" xmlns:xhtml="http://www.w3.org/1999/xhtml"><div class="article abstract-view "><span class="highwire-journal-article-marker-start"></span><div class="section abstract" id="abstract-1"><h2>Abstract</h2><div id="sec-1" class="subsection"><p id="p-3"><strong>BACKGROUND AND PURPOSE:</strong> Presbycusis is the most common sensory deficit in the aging population. A recent study reported using a DTI-based tractography technique to identify a lack of integrity in a portion of the auditory pathway in patients with presbycusis. The aim of our study was to investigate the white matter pathology of patients with presbycusis by using a voxel-based analysis that is highly sensitive to local intensity changes in DTI data.</p></div><div id="sec-2" class="subsection"><p id="p-4"><strong>MATERIALS AND METHODS:</strong> Fifteen patients with presbycusis and 14 age- and sex-matched healthy controls were scanned on a 3T scanner. Fractional anisotropy, mean diffusivity, axial diffusivity, and radial diffusivity were obtained from the DTI data. Intergroup statistics were implemented on these measurements, which were transformed to Montreal Neurological Institute coordinates by using a nonrigid image registration method called large deformation diffeomorphic metric mapping.</p></div><div id="sec-3" class="subsection"><p id="p-5"><strong>RESULTS:</strong> Increased axial diffusivity, radial diffusivity, and mean diffusivity and decreased fractional anisotropy were found near the right-side hearing-related areas in patients with presbycusis. Increased radial diffusivity and mean diffusivity were also found near a language-related area (Broca area) in patients with presbycusis.</p></div><div id="sec-4" class="subsection"><p id="p-6"><strong>CONCLUSIONS:</strong> Our findings could be important for exploring reliable imaging evidence of presbycusis and could complement an ROI-based approach.</p></div></div><div class="section glossary" id="glossary-1"><h2 class="">ABBREVIATIONS:</h2><dl id="def-list-1"><dt id="def-item-1">DA<span class="def-item-dt-sep"></span></dt><dd>axial diffusivity<span class="def-item-dd-sep"></span></dd><dt id="def-item-2">dB HL<span class="def-item-dt-sep"></span></dt><dd>decibel hearing level<span class="def-item-dd-sep"></span></dd><dt id="def-item-3">DR<span class="def-item-dt-sep"></span></dt><dd>radial diffusivity<span class="def-item-dd-sep"></span></dd><dt id="def-item-4">FA<span class="def-item-dt-sep"></span></dt><dd>fractional anisotropy<span class="def-item-dd-sep"></span></dd><dt id="def-item-5">MD<span class="def-item-dt-sep"></span></dt><dd>mean diffusivity<span class="def-item-dd-sep"></span></dd><dt id="def-item-6">PTA<span class="def-item-dt-sep"></span></dt><dd>pure-tone average</dd></dl></div><ul class="copyright-statement"><li class="fn" id="copyright-statement-1">© 2016 by American Journal of Neuroradiology</li></ul><div class="license" id="license-1"><p id="p-2">Indicates open access to non-subscribers at <a href="http://www.ajnr.org" rel="license">www.ajnr.org</a></p></div><span class="highwire-journal-article-marker-end"></span></div><span class="related-urls"></span></div><a href="http://ajnr-stage2.stage.highwire.org/content/37/11/2110.full" class="hw-link hw-link-article-full-text" data-icon-position="" data-hide-link-title="0">View Full Text</a></div>  </div>

  
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        	<div class="highwire-cite-metadata"><span  class="highwire-cite-metadata-volume highwire-cite-metadata">Vol. 37</span>, <span  class="highwire-cite-metadata-issue highwire-cite-metadata">Issue 11 </span><div  class="highwire-cite-metadata-pubdate highwire-cite-metadata">1 Nov 2016 </div></div>
      
      
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      <div class="highwire-cite-title">DTI Analysis of Presbycusis Using Voxel-Based Analysis</div>  
    	<div class="highwire-cite-authors"><span  class="highwire-citation-authors"><span class="highwire-citation-author first" data-delta="0"><span class="nlm-given-names">W.</span> <span class="nlm-surname">Ma</span></span>, <span class="highwire-citation-author" data-delta="1"><span class="nlm-given-names">M.</span> <span class="nlm-surname">Li</span></span>, <span class="highwire-citation-author" data-delta="2"><span class="nlm-given-names">F.</span> <span class="nlm-surname">Gao</span></span>, <span class="highwire-citation-author" data-delta="3"><span class="nlm-given-names">X.</span> <span class="nlm-surname">Zhang</span></span>, <span class="highwire-citation-author" data-delta="4"><span class="nlm-given-names">L.</span> <span class="nlm-surname">Shi</span></span>, <span class="highwire-citation-author" data-delta="5"><span class="nlm-given-names">L.</span> <span class="nlm-surname">Yu</span></span>, <span class="highwire-citation-author" data-delta="6"><span class="nlm-given-names">B.</span> <span class="nlm-surname">Zhao</span></span>, <span class="highwire-citation-author" data-delta="7"><span class="nlm-given-names">W.</span> <span class="nlm-surname">Chen</span></span>, <span class="highwire-citation-author" data-delta="8"><span class="nlm-given-names">G.</span> <span class="nlm-surname">Wang</span></span>, <span class="highwire-citation-author" data-delta="9"><span class="nlm-given-names">X.</span> <span class="nlm-surname">Wang</span></span></span></div>
  
    	<div class="highwire-cite-metadata"><span  class="highwire-cite-metadata-oa-ind highwire-cite-metadata"><i class="highwire-oa-indicator"></i> </span><span  class="highwire-cite-metadata-journal highwire-cite-metadata">American Journal of Neuroradiology </span><span  class="highwire-cite-metadata-date highwire-cite-metadata">Nov 2016, </span><span  class="highwire-cite-metadata-volume highwire-cite-metadata">37 </span><span  class="highwire-cite-metadata-issue highwire-cite-metadata">(11) </span><span  class="highwire-cite-metadata-pages highwire-cite-metadata">2110-2114; </span><span  class="highwire-cite-metadata-doi highwire-cite-metadata"><span class="label">DOI:</span> 10.3174/ajnr.A4870 </span></div>
  
  
  
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      <div class="highwire-cite-title">DTI Analysis of Presbycusis Using Voxel-Based Analysis</div>  
    	<div class="highwire-cite-authors"><span  class="highwire-citation-authors"><span class="highwire-citation-author first" data-delta="0"><span class="nlm-given-names">W.</span> <span class="nlm-surname">Ma</span></span>, <span class="highwire-citation-author" data-delta="1"><span class="nlm-given-names">M.</span> <span class="nlm-surname">Li</span></span>, <span class="highwire-citation-author" data-delta="2"><span class="nlm-given-names">F.</span> <span class="nlm-surname">Gao</span></span>, <span class="highwire-citation-author" data-delta="3"><span class="nlm-given-names">X.</span> <span class="nlm-surname">Zhang</span></span>, <span class="highwire-citation-author" data-delta="4"><span class="nlm-given-names">L.</span> <span class="nlm-surname">Shi</span></span>, <span class="highwire-citation-author" data-delta="5"><span class="nlm-given-names">L.</span> <span class="nlm-surname">Yu</span></span>, <span class="highwire-citation-author" data-delta="6"><span class="nlm-given-names">B.</span> <span class="nlm-surname">Zhao</span></span>, <span class="highwire-citation-author" data-delta="7"><span class="nlm-given-names">W.</span> <span class="nlm-surname">Chen</span></span>, <span class="highwire-citation-author" data-delta="8"><span class="nlm-given-names">G.</span> <span class="nlm-surname">Wang</span></span>, <span class="highwire-citation-author" data-delta="9"><span class="nlm-given-names">X.</span> <span class="nlm-surname">Wang</span></span></span></div>
  
    	<div class="highwire-cite-metadata"><span  class="highwire-cite-metadata-oa-ind highwire-cite-metadata"><i class="highwire-oa-indicator"></i> </span><span  class="highwire-cite-metadata-journal highwire-cite-metadata">American Journal of Neuroradiology </span><span  class="highwire-cite-metadata-date highwire-cite-metadata">Nov 2016, </span><span  class="highwire-cite-metadata-volume highwire-cite-metadata">37 </span><span  class="highwire-cite-metadata-issue highwire-cite-metadata">(11) </span><span  class="highwire-cite-metadata-pages highwire-cite-metadata">2110-2114; </span><span  class="highwire-cite-metadata-doi highwire-cite-metadata"><span class="label">DOI:</span> 10.3174/ajnr.A4870 </span></div>
  
  
  
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