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<meta name="HW.identifier" content="/ajnr/35/9/1707.atom" />
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<meta name="DC.Language" content="en" />
<meta name="DC.Title" content="Quantitative 7T Phase Imaging in Premanifest Huntington Disease" />
<meta name="DC.Identifier" content="10.3174/ajnr.A3932" />
<meta name="DC.Date" content="2014-09-01" />
<meta name="DC.Publisher" content="American Journal of Neuroradiology" />
<meta name="DC.Rights" content="© 2014 by American Journal of Neuroradiology. Indicates open access to non-subscribers at www.ajnr.org" />
<meta name="DC.AccessRights" content="open-access" />
<meta name="DC.Description" content="BACKGROUND AND PURPOSE: In vivo MR imaging and postmortem neuropathologic studies have demonstrated elevated iron concentration and atrophy within the striatum of patients with Huntington disease, implicating neuronal loss and iron accumulation in the pathogenesis of this neurodegenerative disorder. We used 7T MR imaging to determine whether quantitative phase, a measurement that reflects both iron content and tissue microstructure, is altered in subjects with premanifest Huntington disease.

MATERIALS AND METHODS: Local field shift, calculated from 7T MR phase images, was quantified in 13 subjects with premanifest Huntington disease and 13 age- and sex-matched controls. All participants underwent 3T and 7T MR imaging, including volumetric T1 and 7T gradient recalled-echo sequences. Local field shift maps were created from 7T phase data and registered to caudate ROIs automatically parcellated from the 3T T1 images. Huntington disease–specific disease burden and neurocognitive and motor evaluations were also performed and compared with local field shift.

RESULTS: Subjects with premanifest Huntington disease had smaller caudate volume and higher local field shift than controls. A significant correlation between these measurements was not detected, and prediction accuracy for disease state improved with inclusion of both variables. A positive correlation between local field shift and genetic disease burden was also found, and there was a trend toward significant correlations between local field shift and neurocognitive tests of working memory and executive function.

CONCLUSIONS: Subjects with premanifest Huntington disease exhibit differences in 7T MR imaging phase within the caudate nuclei that correlate with genetic disease burden and trend with neurocognitive assessments. Ultra-high-field MR imaging of quantitative phase may be a useful approach for monitoring neurodegeneration in premanifest Huntington disease.

AUC
:   area under the curve
CAG
:   cytosine-adenine-guanine
CAPS
:   CAG-age-product scaled
eTIV
:   estimated total intracranial volume
HD
:   Huntington disease
LFS
:   local field shift
PLIC
:   posterior limb of the internal capsule
pmHD
:   premanifest Huntington disease
UHDRS
:   Unified Huntington's Disease Rating Scale" />
<meta name="DC.Contributor" content="A.C. Apple" />
<meta name="DC.Contributor" content="K.L. Possin" />
<meta name="DC.Contributor" content="G. Satris" />
<meta name="DC.Contributor" content="E. Johnson" />
<meta name="DC.Contributor" content="J.M. Lupo" />
<meta name="DC.Contributor" content="A. Jakary" />
<meta name="DC.Contributor" content="K. Wong" />
<meta name="DC.Contributor" content="D.A.C. Kelley" />
<meta name="DC.Contributor" content="G.A. Kang" />
<meta name="DC.Contributor" content="S.J. Sha" />
<meta name="DC.Contributor" content="J.H. Kramer" />
<meta name="DC.Contributor" content="M.D. Geschwind" />
<meta name="DC.Contributor" content="S.J. Nelson" />
<meta name="DC.Contributor" content="C.P. Hess" />
<meta name="article:published_time" content="2014-09-01" />
<meta name="article:section" content="Brain" />
<meta name="citation_title" content="Quantitative 7T Phase Imaging in Premanifest Huntington Disease" />
<meta name="citation_abstract" lang="en" content="&lt;h3&gt;BACKGROUND AND PURPOSE:&lt;/h3&gt;
&lt;p&gt;In vivo MR imaging and postmortem neuropathologic studies have demonstrated elevated iron concentration and atrophy within the striatum of patients with Huntington disease, implicating neuronal loss and iron accumulation in the pathogenesis of this neurodegenerative disorder. We used 7T MR imaging to determine whether quantitative phase, a measurement that reflects both iron content and tissue microstructure, is altered in subjects with premanifest Huntington disease.&lt;/p&gt;&lt;h3&gt;MATERIALS AND METHODS:&lt;/h3&gt;
&lt;p&gt;Local field shift, calculated from 7T MR phase images, was quantified in 13 subjects with premanifest Huntington disease and 13 age- and sex-matched controls. All participants underwent 3T and 7T MR imaging, including volumetric T1 and 7T gradient recalled-echo sequences. Local field shift maps were created from 7T phase data and registered to caudate ROIs automatically parcellated from the 3T T1 images. Huntington disease–specific disease burden and neurocognitive and motor evaluations were also performed and compared with local field shift.&lt;/p&gt;&lt;h3&gt;RESULTS:&lt;/h3&gt;
&lt;p&gt;Subjects with premanifest Huntington disease had smaller caudate volume and higher local field shift than controls. A significant correlation between these measurements was not detected, and prediction accuracy for disease state improved with inclusion of both variables. A positive correlation between local field shift and genetic disease burden was also found, and there was a trend toward significant correlations between local field shift and neurocognitive tests of working memory and executive function.&lt;/p&gt;&lt;h3&gt;CONCLUSIONS:&lt;/h3&gt;
&lt;p&gt;Subjects with premanifest Huntington disease exhibit differences in 7T MR imaging phase within the caudate nuclei that correlate with genetic disease burden and trend with neurocognitive assessments. Ultra-high-field MR imaging of quantitative phase may be a useful approach for monitoring neurodegeneration in premanifest Huntington disease.&lt;/p&gt;" />
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<meta name="citation_author" content="A.C. Apple" />
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<meta name="citation_author_institution" content="bNeurology (K.L.P., G.S., E.J., K.W., G.A.K., S.J.S., J.H.K., M.D.G.), University of California, San Francisco" />
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<meta name="twitter:title" content="Quantitative 7T Phase Imaging in Premanifest Huntington Disease" />
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<meta name="twitter:description" content="BACKGROUND AND PURPOSE: In vivo MR imaging and postmortem neuropathologic studies have demonstrated elevated iron concentration and atrophy within the striatum of patients with Huntington disease, implicating neuronal loss and iron accumulation in the pathogenesis of this neurodegenerative disorder. We used 7T MR imaging to determine whether quantitative phase, a measurement that reflects both iron content and tissue microstructure, is altered in subjects with premanifest Huntington disease.

MATERIALS AND METHODS: Local field shift, calculated from 7T MR phase images, was quantified in 13 subjects with premanifest Huntington disease and 13 age- and sex-matched controls. All participants underwent 3T and 7T MR imaging, including volumetric T1 and 7T gradient recalled-echo sequences. Local field shift maps were created from 7T phase data and registered to caudate ROIs automatically parcellated from the 3T T1 images. Huntington disease–specific disease burden and neurocognitive and motor evaluations were also performed and compared with local field shift.

RESULTS: Subjects with premanifest Huntington disease had smaller caudate volume and higher local field shift than controls. A significant correlation between these measurements was not detected, and prediction accuracy for disease state improved with inclusion of both variables. A positive correlation between local field shift and genetic disease burden was also found, and there was a trend toward significant correlations between local field shift and neurocognitive tests of working memory and executive function.

CONCLUSIONS: Subjects with premanifest Huntington disease exhibit differences in 7T MR imaging phase within the caudate nuclei that correlate with genetic disease burden and trend with neurocognitive assessments. Ultra-high-field MR imaging of quantitative phase may be a useful approach for monitoring neurodegeneration in premanifest Huntington disease.

AUC
:   area under the curve
CAG
:   cytosine-adenine-guanine
CAPS
:   CAG-age-product scaled
eTIV
:   estimated total intracranial volume
HD
:   Huntington disease
LFS
:   local field shift
PLIC
:   posterior limb of the internal capsule
pmHD
:   premanifest Huntington disease
UHDRS
:   Unified Huntington's Disease Rating Scale" />
<meta name="og-title" property="og:title" content="Quantitative 7T Phase Imaging in Premanifest Huntington Disease" />
<meta name="og-url" property="og:url" content="http://ajnr-stage2.stage.highwire.org/content/35/9/1707" />
<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: In vivo MR imaging and postmortem neuropathologic studies have demonstrated elevated iron concentration and atrophy within the striatum of patients with Huntington disease, implicating neuronal loss and iron accumulation in the pathogenesis of this neurodegenerative disorder. We used 7T MR imaging to determine whether quantitative phase, a measurement that reflects both iron content and tissue microstructure, is altered in subjects with premanifest Huntington disease.

MATERIALS AND METHODS: Local field shift, calculated from 7T MR phase images, was quantified in 13 subjects with premanifest Huntington disease and 13 age- and sex-matched controls. All participants underwent 3T and 7T MR imaging, including volumetric T1 and 7T gradient recalled-echo sequences. Local field shift maps were created from 7T phase data and registered to caudate ROIs automatically parcellated from the 3T T1 images. Huntington disease–specific disease burden and neurocognitive and motor evaluations were also performed and compared with local field shift.

RESULTS: Subjects with premanifest Huntington disease had smaller caudate volume and higher local field shift than controls. A significant correlation between these measurements was not detected, and prediction accuracy for disease state improved with inclusion of both variables. A positive correlation between local field shift and genetic disease burden was also found, and there was a trend toward significant correlations between local field shift and neurocognitive tests of working memory and executive function.

CONCLUSIONS: Subjects with premanifest Huntington disease exhibit differences in 7T MR imaging phase within the caudate nuclei that correlate with genetic disease burden and trend with neurocognitive assessments. Ultra-high-field MR imaging of quantitative phase may be a useful approach for monitoring neurodegeneration in premanifest Huntington disease.

AUC
:   area under the curve
CAG
:   cytosine-adenine-guanine
CAPS
:   CAG-age-product scaled
eTIV
:   estimated total intracranial volume
HD
:   Huntington disease
LFS
:   local field shift
PLIC
:   posterior limb of the internal capsule
pmHD
:   premanifest Huntington disease
UHDRS
:   Unified Huntington's Disease Rating Scale" />
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    <div class="highwire-article-citation highwire-citation-type-highwire-article node13616--5" data-node-nid="13616" id="top-node-13616--6674997566" data-pisa="ajnr;35/9/1707" data-pisa-master="ajnr;ajnr.A3932" data-apath="/ajnr/35/9/1707.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">Brain</span></span></div>
  
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      <h1 class="highwire-cite-title" id="page-title">Quantitative 7T Phase Imaging in Premanifest Huntington Disease</h1>  
    	<div class="highwire-cite-authors"><span  class="highwire-citation-authors"><span class="highwire-citation-author first" data-delta="0">A.C. Apple</span>, <span class="highwire-citation-author" data-delta="1">K.L. Possin</span>, <span class="highwire-citation-author" data-delta="2">G. Satris</span>, <span class="highwire-citation-author" data-delta="3">E. Johnson</span>, <span class="highwire-citation-author" data-delta="4">J.M. Lupo</span>, <span class="highwire-citation-author" data-delta="5">A. Jakary</span>, <span class="highwire-citation-author" data-delta="6">K. Wong</span>, <span class="highwire-citation-author" data-delta="7">D.A.C. Kelley</span>, <span class="highwire-citation-author" data-delta="8">G.A. Kang</span>, <span class="highwire-citation-author" data-delta="9">S.J. Sha</span>, <span class="highwire-citation-author" data-delta="10">J.H. Kramer</span>, <span class="highwire-citation-author" data-delta="11">M.D. Geschwind</span>, <span class="highwire-citation-author" data-delta="12">S.J. Nelson</span> and <span class="highwire-citation-author" data-delta="13">C.P. Hess</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">September 2014,  </span><span  class="highwire-cite-metadata-volume highwire-cite-metadata">35 </span><span  class="highwire-cite-metadata-issue highwire-cite-metadata">(9) </span><span  class="highwire-cite-metadata-pages highwire-cite-metadata">1707-1713; </span><span  class="highwire-cite-metadata-doi highwire-cite-metadata">DOI: https://doi.org/10.3174/ajnr.A3932 </span></div>
  
  
  
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<div id="hw-article-author-popups-top-node-13616--6674997566" style="display: none;"><div class="author-tooltip-0"><div class="author-tooltip-name">A.C. Apple </div><div class="author-tooltip-affiliation"><span class="author-tooltip-text"><div class='author-affiliation'><span class='nlm-sup'>a</span>From the Departments of Radiology and Biomedical Imaging (A.C.A., J.M.L., A.J., S.J.N., C.P.H.)</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=A.C.%2BApple%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=Apple%20A&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 last"><a href="/search/author1%3AA.C.%2BApple%2B" rel="nofollow" class="" data-icon-position="" data-hide-link-title="0">Search for this author on this site</a></li></ul></div><div class="author-tooltip-1"><div class="author-tooltip-name">K.L. Possin </div><div class="author-tooltip-affiliation"><span class="author-tooltip-text"><div class='author-affiliation'><span class='nlm-sup'>b</span>Neurology (K.L.P., G.S., E.J., K.W., G.A.K., S.J.S., J.H.K., M.D.G.), University of California, San Francisco</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=K.L.%2BPossin%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=Possin%20K&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 last"><a href="/search/author1%3AK.L.%2BPossin%2B" rel="nofollow" class="" data-icon-position="" data-hide-link-title="0">Search for this author on this site</a></li></ul></div><div class="author-tooltip-2"><div class="author-tooltip-name">G. Satris </div><div class="author-tooltip-affiliation"><span class="author-tooltip-text"><div class='author-affiliation'><span class='nlm-sup'>b</span>Neurology (K.L.P., G.S., E.J., K.W., G.A.K., S.J.S., J.H.K., M.D.G.), University of California, San Francisco</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.%2BSatris%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=Satris%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 last"><a href="/search/author1%3AG.%2BSatris%2B" rel="nofollow" class="" data-icon-position="" data-hide-link-title="0">Search for this author on this site</a></li></ul></div><div class="author-tooltip-3"><div class="author-tooltip-name">E. Johnson </div><div class="author-tooltip-affiliation"><span class="author-tooltip-text"><div class='author-affiliation'><span class='nlm-sup'>b</span>Neurology (K.L.P., G.S., E.J., K.W., G.A.K., S.J.S., J.H.K., M.D.G.), University of California, San Francisco</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=E.%2BJohnson%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=Johnson%20E&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 last"><a href="/search/author1%3AE.%2BJohnson%2B" rel="nofollow" class="" data-icon-position="" data-hide-link-title="0">Search for this author on this site</a></li></ul></div><div class="author-tooltip-4"><div class="author-tooltip-name">J.M. Lupo </div><div class="author-tooltip-affiliation"><span class="author-tooltip-text"><div class='author-affiliation'><span class='nlm-sup'>a</span>From the Departments of Radiology and Biomedical Imaging (A.C.A., J.M.L., A.J., S.J.N., C.P.H.)</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=J.M.%2BLupo%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=Lupo%20J&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 last"><a href="/search/author1%3AJ.M.%2BLupo%2B" rel="nofollow" class="" data-icon-position="" data-hide-link-title="0">Search for this author on this site</a></li></ul></div><div class="author-tooltip-5"><div class="author-tooltip-name">A. Jakary </div><div class="author-tooltip-affiliation"><span class="author-tooltip-text"><div class='author-affiliation'><span class='nlm-sup'>a</span>From the Departments of Radiology and Biomedical Imaging (A.C.A., J.M.L., A.J., S.J.N., C.P.H.)</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=A.%2BJakary%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=Jakary%20A&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 last"><a href="/search/author1%3AA.%2BJakary%2B" rel="nofollow" class="" data-icon-position="" data-hide-link-title="0">Search for this author on this site</a></li></ul></div><div class="author-tooltip-6"><div class="author-tooltip-name">K. 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<p id="p-2"><strong>BACKGROUND AND PURPOSE:</strong> In vivo MR imaging and postmortem neuropathologic studies have demonstrated elevated iron concentration and atrophy within the striatum of patients with Huntington disease, implicating neuronal loss and iron accumulation in the pathogenesis of this neurodegenerative disorder. We used 7T MR imaging to determine whether quantitative phase, a measurement that reflects both iron content and tissue microstructure, is altered in subjects with premanifest Huntington disease.</p>
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<p id="p-3"><strong>MATERIALS AND METHODS:</strong> Local field shift, calculated from 7T MR phase images, was quantified in 13 subjects with premanifest Huntington disease and 13 age- and sex-matched controls. All participants underwent 3T and 7T MR imaging, including volumetric T1 and 7T gradient recalled-echo sequences. Local field shift maps were created from 7T phase data and registered to caudate ROIs automatically parcellated from the 3T T1 images. Huntington disease–specific disease burden and neurocognitive and motor evaluations were also performed and compared with local field shift.</p>
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<p id="p-4"><strong>RESULTS:</strong> Subjects with premanifest Huntington disease had smaller caudate volume and higher local field shift than controls. A significant correlation between these measurements was not detected, and prediction accuracy for disease state improved with inclusion of both variables. A positive correlation between local field shift and genetic disease burden was also found, and there was a trend toward significant correlations between local field shift and neurocognitive tests of working memory and executive function.</p>
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<p id="p-5"><strong>CONCLUSIONS:</strong> Subjects with premanifest Huntington disease exhibit differences in 7T MR imaging phase within the caudate nuclei that correlate with genetic disease burden and trend with neurocognitive assessments. Ultra-high-field MR imaging of quantitative phase may be a useful approach for monitoring neurodegeneration in premanifest Huntington disease.</p>
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</div><div class="section glossary" id="glossary-1"><h2>ABBREVIATIONS:</h2>
<dl id="def-list-1"><dt id="def-item-1">AUC<span class="def-item-dt-sep"></span></dt><dd>area under the curve<span class="def-item-dd-sep"></span></dd><dt id="def-item-2">CAG<span class="def-item-dt-sep"></span></dt><dd>cytosine-adenine-guanine<span class="def-item-dd-sep"></span></dd><dt id="def-item-3">CAP<sub>S</sub><span class="def-item-dt-sep"></span></dt><dd>CAG-age-product scaled<span class="def-item-dd-sep"></span></dd><dt id="def-item-4">eTIV<span class="def-item-dt-sep"></span></dt><dd>estimated total intracranial volume<span class="def-item-dd-sep"></span></dd><dt id="def-item-5">HD<span class="def-item-dt-sep"></span></dt><dd>Huntington disease<span class="def-item-dd-sep"></span></dd><dt id="def-item-6">LFS<span class="def-item-dt-sep"></span></dt><dd>local field shift<span class="def-item-dd-sep"></span></dd><dt id="def-item-7">PLIC<span class="def-item-dt-sep"></span></dt><dd>posterior limb of the internal capsule<span class="def-item-dd-sep"></span></dd><dt id="def-item-8">pmHD<span class="def-item-dt-sep"></span></dt><dd>premanifest Huntington disease<span class="def-item-dd-sep"></span></dd><dt id="def-item-9">UHDRS<span class="def-item-dt-sep"></span></dt><dd>Unified Huntington's Disease Rating Scale</dd></dl>
</div><ul class="copyright-statement"><li class="fn" id="copyright-statement-1">© 2014 by American Journal of Neuroradiology</li></ul><div class="license" id="license-1"><p id="p-1">Indicates open access to non-subscribers at <a href="http://www.ajnr.org">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/35/9/1707.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-title">Quantitative 7T Phase Imaging in Premanifest Huntington Disease</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">A.C.</span> <span class="nlm-surname">Apple</span></span>, <span class="highwire-citation-author" data-delta="1"><span class="nlm-given-names">K.L.</span> <span class="nlm-surname">Possin</span></span>, <span class="highwire-citation-author" data-delta="2"><span class="nlm-given-names">G.</span> <span class="nlm-surname">Satris</span></span>, <span class="highwire-citation-author" data-delta="3"><span class="nlm-given-names">E.</span> <span class="nlm-surname">Johnson</span></span>, <span class="highwire-citation-author" data-delta="4"><span class="nlm-given-names">J.M.</span> <span class="nlm-surname">Lupo</span></span>, <span class="highwire-citation-author" data-delta="5"><span class="nlm-given-names">A.</span> <span class="nlm-surname">Jakary</span></span>, <span class="highwire-citation-author" data-delta="6"><span class="nlm-given-names">K.</span> <span class="nlm-surname">Wong</span></span>, <span class="highwire-citation-author" data-delta="7"><span class="nlm-given-names">D.A.C.</span> <span class="nlm-surname">Kelley</span></span>, <span class="highwire-citation-author" data-delta="8"><span class="nlm-given-names">G.A.</span> <span class="nlm-surname">Kang</span></span>, <span class="highwire-citation-author" data-delta="9"><span class="nlm-given-names">S.J.</span> <span class="nlm-surname">Sha</span></span>, <span class="highwire-citation-author" data-delta="10"><span class="nlm-given-names">J.H.</span> <span class="nlm-surname">Kramer</span></span>, <span class="highwire-citation-author" data-delta="11"><span class="nlm-given-names">M.D.</span> <span class="nlm-surname">Geschwind</span></span>, <span class="highwire-citation-author" data-delta="12"><span class="nlm-given-names">S.J.</span> <span class="nlm-surname">Nelson</span></span>, <span class="highwire-citation-author" data-delta="13"><span class="nlm-given-names">C.P.</span> <span class="nlm-surname">Hess</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">Sep 2014, </span><span  class="highwire-cite-metadata-volume highwire-cite-metadata">35 </span><span  class="highwire-cite-metadata-issue highwire-cite-metadata">(9) </span><span  class="highwire-cite-metadata-pages highwire-cite-metadata">1707-1713; </span><span  class="highwire-cite-metadata-doi highwire-cite-metadata"><span class="label">DOI:</span> 10.3174/ajnr.A3932 </span></div>
  
  
  
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      <div class="highwire-cite-title">Quantitative 7T Phase Imaging in Premanifest Huntington Disease</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">A.C.</span> <span class="nlm-surname">Apple</span></span>, <span class="highwire-citation-author" data-delta="1"><span class="nlm-given-names">K.L.</span> <span class="nlm-surname">Possin</span></span>, <span class="highwire-citation-author" data-delta="2"><span class="nlm-given-names">G.</span> <span class="nlm-surname">Satris</span></span>, <span class="highwire-citation-author" data-delta="3"><span class="nlm-given-names">E.</span> <span class="nlm-surname">Johnson</span></span>, <span class="highwire-citation-author" data-delta="4"><span class="nlm-given-names">J.M.</span> <span class="nlm-surname">Lupo</span></span>, <span class="highwire-citation-author" data-delta="5"><span class="nlm-given-names">A.</span> <span class="nlm-surname">Jakary</span></span>, <span class="highwire-citation-author" data-delta="6"><span class="nlm-given-names">K.</span> <span class="nlm-surname">Wong</span></span>, <span class="highwire-citation-author" data-delta="7"><span class="nlm-given-names">D.A.C.</span> <span class="nlm-surname">Kelley</span></span>, <span class="highwire-citation-author" data-delta="8"><span class="nlm-given-names">G.A.</span> <span class="nlm-surname">Kang</span></span>, <span class="highwire-citation-author" data-delta="9"><span class="nlm-given-names">S.J.</span> <span class="nlm-surname">Sha</span></span>, <span class="highwire-citation-author" data-delta="10"><span class="nlm-given-names">J.H.</span> <span class="nlm-surname">Kramer</span></span>, <span class="highwire-citation-author" data-delta="11"><span class="nlm-given-names">M.D.</span> <span class="nlm-surname">Geschwind</span></span>, <span class="highwire-citation-author" data-delta="12"><span class="nlm-given-names">S.J.</span> <span class="nlm-surname">Nelson</span></span>, <span class="highwire-citation-author" data-delta="13"><span class="nlm-given-names">C.P.</span> <span class="nlm-surname">Hess</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">Sep 2014, </span><span  class="highwire-cite-metadata-volume highwire-cite-metadata">35 </span><span  class="highwire-cite-metadata-issue highwire-cite-metadata">(9) </span><span  class="highwire-cite-metadata-pages highwire-cite-metadata">1707-1713; </span><span  class="highwire-cite-metadata-doi highwire-cite-metadata"><span class="label">DOI:</span> 10.3174/ajnr.A3932 </span></div>
  
  
  
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