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<meta name="DC.Title" content="Age-Related Metabolic Profiles in Cognitively Healthy Elders: Results from a Voxel-Based [18F]Fluorodeoxyglucose–Positron-Emission Tomography Study with Partial Volume Effects Correction" />
<meta name="DC.Identifier" content="10.3174/ajnr.A2321" />
<meta name="DC.Date" content="2011-03-01" />
<meta name="DC.Publisher" content="American Journal of Neuroradiology" />
<meta name="DC.Rights" content="Copyright © American Society 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: Functional brain variability has been scarcely investigated in cognitively healthy elderly subjects, and it is currently debated whether previous findings of regional metabolic variability are artifacts associated with brain atrophy. The primary purpose of this study was to test whether there is regional cerebral age-related hypometabolism specifically in later stages of life.

MATERIALS AND METHODS: MR imaging and FDG-PET data were acquired from 55 cognitively healthy elderly subjects, and voxel-based linear correlations between age and GM volume or regional cerebral metabolism were conducted by using SPM5 in images with and without correction for PVE. To investigate sex-specific differences in the pattern of brain aging, we repeated the above voxelwise calculations after dividing our sample by sex.

RESULTS: Our analysis revealed 2 large clusters of age-related metabolic decrease in the overall sample, 1 in the left orbitofrontal cortex and the other in the right temporolimbic region, encompassing the hippocampus, the parahippocampal gyrus, and the amygdala. The division of our sample by sex revealed significant sex-specific age-related metabolic decrease in the left temporolimbic region of men and in the left dorsolateral frontal cortex of women. When we applied atrophy correction to our PET data, none of the above-mentioned correlations remained significant.

CONCLUSIONS: Our findings suggest that age-related functional brain variability in cognitively healthy elderly individuals is largely secondary to the degree of regional brain atrophy, and the findings provide support to the notion that appropriate PVE correction is a key tool in neuroimaging investigations.

AD
:   Alzheimer disease
APOE
:   apolipoprotein E
BA
:   Brodmann area
CERAD
:   Consortium to Establish a Registry for Alzheimer's Disease
CMRglc
:   cerebral metabolic rate for glucose consumption
DARTEL
:   Diffeomorphic Anatomical Registration Through Exponentiated Lie Algebra
FDG
:   [18F]fluorodeoxyglucose
FCHDR
:   Framingham Coronary Heart Disease Risk
FWHM
:   full width at half maximum
GM
:   gray matter
HWE
:   Hardy-Weinberg equilibrium
MCI
:   mild cognitive impairment
MNI
:   Montreal Neurological Institute
PET
:   positron-emission tomography
PVE
:   partial volume effects
SNP
:   single nucleotide polymorphism
SPAH
:   São Paulo Ageing and Health study
SPM
:   statistical parametric mapping
SVC
:   small-volume correction
VBM
:   voxel-based morphometry" />
<meta name="DC.Contributor" content="P.K. Curiati" />
<meta name="DC.Contributor" content="J.H. Tamashiro-Duran" />
<meta name="DC.Contributor" content="F.L.S. Duran" />
<meta name="DC.Contributor" content="C.A. Buchpiguel" />
<meta name="DC.Contributor" content="P. Squarzoni" />
<meta name="DC.Contributor" content="D.C. Romano" />
<meta name="DC.Contributor" content="H. Vallada" />
<meta name="DC.Contributor" content="P.R. Menezes" />
<meta name="DC.Contributor" content="M. Scazufca" />
<meta name="DC.Contributor" content="G.F. Busatto" />
<meta name="DC.Contributor" content="T.C.T.F. Alves" />
<meta name="article:published_time" content="2011-03-01" />
<meta name="article:section" content="Functional" />
<meta name="citation_title" content="Age-Related Metabolic Profiles in Cognitively Healthy Elders: Results from a Voxel-Based [18F]Fluorodeoxyglucose–Positron-Emission Tomography Study with Partial Volume Effects Correction" />
<meta name="citation_abstract" lang="en" content="&lt;h3&gt;BACKGROUND AND PURPOSE:&lt;/h3&gt;
&lt;p&gt;Functional brain variability has been scarcely investigated in cognitively healthy elderly subjects, and it is currently debated whether previous findings of regional metabolic variability are artifacts associated with brain atrophy. The primary purpose of this study was to test whether there is regional cerebral age-related hypometabolism specifically in later stages of life.&lt;/p&gt;&lt;h3&gt;MATERIALS AND METHODS:&lt;/h3&gt;
&lt;p&gt;MR imaging and FDG-PET data were acquired from 55 cognitively healthy elderly subjects, and voxel-based linear correlations between age and GM volume or regional cerebral metabolism were conducted by using SPM5 in images with and without correction for PVE. To investigate sex-specific differences in the pattern of brain aging, we repeated the above voxelwise calculations after dividing our sample by sex.&lt;/p&gt;&lt;h3&gt;RESULTS:&lt;/h3&gt;
&lt;p&gt;Our analysis revealed 2 large clusters of age-related metabolic decrease in the overall sample, 1 in the left orbitofrontal cortex and the other in the right temporolimbic region, encompassing the hippocampus, the parahippocampal gyrus, and the amygdala. The division of our sample by sex revealed significant sex-specific age-related metabolic decrease in the left temporolimbic region of men and in the left dorsolateral frontal cortex of women. When we applied atrophy correction to our PET data, none of the above-mentioned correlations remained significant.&lt;/p&gt;&lt;h3&gt;CONCLUSIONS:&lt;/h3&gt;
&lt;p&gt;Our findings suggest that age-related functional brain variability in cognitively healthy elderly individuals is largely secondary to the degree of regional brain atrophy, and the findings provide support to the notion that appropriate PVE correction is a key tool in neuroimaging investigations.&lt;/p&gt;" />
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<meta name="twitter:title" content="Age-Related Metabolic Profiles in Cognitively Healthy Elders: Results from a Voxel-Based [18F]Fluorodeoxyglucose–Positron-Emission Tomography Study with Partial Volume Effects Correction" />
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<meta name="twitter:description" content="BACKGROUND AND PURPOSE: Functional brain variability has been scarcely investigated in cognitively healthy elderly subjects, and it is currently debated whether previous findings of regional metabolic variability are artifacts associated with brain atrophy. The primary purpose of this study was to test whether there is regional cerebral age-related hypometabolism specifically in later stages of life.

MATERIALS AND METHODS: MR imaging and FDG-PET data were acquired from 55 cognitively healthy elderly subjects, and voxel-based linear correlations between age and GM volume or regional cerebral metabolism were conducted by using SPM5 in images with and without correction for PVE. To investigate sex-specific differences in the pattern of brain aging, we repeated the above voxelwise calculations after dividing our sample by sex.

RESULTS: Our analysis revealed 2 large clusters of age-related metabolic decrease in the overall sample, 1 in the left orbitofrontal cortex and the other in the right temporolimbic region, encompassing the hippocampus, the parahippocampal gyrus, and the amygdala. The division of our sample by sex revealed significant sex-specific age-related metabolic decrease in the left temporolimbic region of men and in the left dorsolateral frontal cortex of women. When we applied atrophy correction to our PET data, none of the above-mentioned correlations remained significant.

CONCLUSIONS: Our findings suggest that age-related functional brain variability in cognitively healthy elderly individuals is largely secondary to the degree of regional brain atrophy, and the findings provide support to the notion that appropriate PVE correction is a key tool in neuroimaging investigations.

AD
:   Alzheimer disease
APOE
:   apolipoprotein E
BA
:   Brodmann area
CERAD
:   Consortium to Establish a Registry for Alzheimer's Disease
CMRglc
:   cerebral metabolic rate for glucose consumption
DARTEL
:   Diffeomorphic Anatomical Registration Through Exponentiated Lie Algebra
FDG
:   [18F]fluorodeoxyglucose
FCHDR
:   Framingham Coronary Heart Disease Risk
FWHM
:   full width at half maximum
GM
:   gray matter
HWE
:   Hardy-Weinberg equilibrium
MCI
:   mild cognitive impairment
MNI
:   Montreal Neurological Institute
PET
:   positron-emission tomography
PVE
:   partial volume effects
SNP
:   single nucleotide polymorphism
SPAH
:   São Paulo Ageing and Health study
SPM
:   statistical parametric mapping
SVC
:   small-volume correction
VBM
:   voxel-based morphometry" />
<meta name="og-title" property="og:title" content="Age-Related Metabolic Profiles in Cognitively Healthy Elders: Results from a Voxel-Based [18F]Fluorodeoxyglucose–Positron-Emission Tomography Study with Partial Volume Effects Correction" />
<meta name="og-url" property="og:url" content="http://ajnr-stage2.stage.highwire.org/content/32/3/560" />
<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: Functional brain variability has been scarcely investigated in cognitively healthy elderly subjects, and it is currently debated whether previous findings of regional metabolic variability are artifacts associated with brain atrophy. The primary purpose of this study was to test whether there is regional cerebral age-related hypometabolism specifically in later stages of life.

MATERIALS AND METHODS: MR imaging and FDG-PET data were acquired from 55 cognitively healthy elderly subjects, and voxel-based linear correlations between age and GM volume or regional cerebral metabolism were conducted by using SPM5 in images with and without correction for PVE. To investigate sex-specific differences in the pattern of brain aging, we repeated the above voxelwise calculations after dividing our sample by sex.

RESULTS: Our analysis revealed 2 large clusters of age-related metabolic decrease in the overall sample, 1 in the left orbitofrontal cortex and the other in the right temporolimbic region, encompassing the hippocampus, the parahippocampal gyrus, and the amygdala. The division of our sample by sex revealed significant sex-specific age-related metabolic decrease in the left temporolimbic region of men and in the left dorsolateral frontal cortex of women. When we applied atrophy correction to our PET data, none of the above-mentioned correlations remained significant.

CONCLUSIONS: Our findings suggest that age-related functional brain variability in cognitively healthy elderly individuals is largely secondary to the degree of regional brain atrophy, and the findings provide support to the notion that appropriate PVE correction is a key tool in neuroimaging investigations.

AD
:   Alzheimer disease
APOE
:   apolipoprotein E
BA
:   Brodmann area
CERAD
:   Consortium to Establish a Registry for Alzheimer's Disease
CMRglc
:   cerebral metabolic rate for glucose consumption
DARTEL
:   Diffeomorphic Anatomical Registration Through Exponentiated Lie Algebra
FDG
:   [18F]fluorodeoxyglucose
FCHDR
:   Framingham Coronary Heart Disease Risk
FWHM
:   full width at half maximum
GM
:   gray matter
HWE
:   Hardy-Weinberg equilibrium
MCI
:   mild cognitive impairment
MNI
:   Montreal Neurological Institute
PET
:   positron-emission tomography
PVE
:   partial volume effects
SNP
:   single nucleotide polymorphism
SPAH
:   São Paulo Ageing and Health study
SPM
:   statistical parametric mapping
SVC
:   small-volume correction
VBM
:   voxel-based morphometry" />
<meta name="og-type" property="og:type" content="article" />
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    <div class="highwire-article-citation highwire-citation-type-highwire-article node9365--5" data-node-nid="9365" id="top-node-9365--61854860943" data-pisa="ajnr;32/3/560" data-pisa-master="ajnr;ajnr.A2321" data-apath="/ajnr/32/3/560.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">
  
  
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      <h1 class="highwire-cite-title" id="page-title">Age-Related Metabolic Profiles in Cognitively Healthy Elders: Results from a Voxel-Based [<sup>18</sup>F]Fluorodeoxyglucose–Positron-Emission Tomography Study with Partial Volume Effects Correction</h1>  
    	<div class="highwire-cite-authors"><span  class="highwire-citation-authors"><span class="highwire-citation-author first" data-delta="0">P.K. Curiati</span>, <span class="highwire-citation-author" data-delta="1">J.H. Tamashiro-Duran</span>, <span class="highwire-citation-author" data-delta="2">F.L.S. Duran</span>, <span class="highwire-citation-author" data-delta="3">C.A. Buchpiguel</span>, <span class="highwire-citation-author" data-delta="4">P. Squarzoni</span>, <span class="highwire-citation-author" data-delta="5">D.C. Romano</span>, <span class="highwire-citation-author" data-delta="6">H. Vallada</span>, <span class="highwire-citation-author" data-delta="7">P.R. Menezes</span>, <span class="highwire-citation-author" data-delta="8">M. Scazufca</span>, <span class="highwire-citation-author" data-delta="9">G.F. Busatto</span> and <span class="highwire-citation-author" data-delta="10">T.C.T.F. Alves</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">March 2011,  </span><span  class="highwire-cite-metadata-volume highwire-cite-metadata">32 </span><span  class="highwire-cite-metadata-issue highwire-cite-metadata">(3) </span><span  class="highwire-cite-metadata-pages highwire-cite-metadata">560-565; </span><span  class="highwire-cite-metadata-doi highwire-cite-metadata">DOI: https://doi.org/10.3174/ajnr.A2321 </span></div>
  
  
  
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<div id="hw-article-author-popups-top-node-9365--61854860943" style="display: none;"><div class="author-tooltip-0"><div class="author-tooltip-name">P.K. Curiati </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=P.K.%2BCuriati%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=Curiati%20P&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%3AP.K.%2BCuriati%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">J.H. 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<p id="p-2"><strong>BACKGROUND AND PURPOSE:</strong> Functional brain variability has been scarcely investigated in cognitively healthy elderly subjects, and it is currently debated whether previous findings of regional metabolic variability are artifacts associated with brain atrophy. The primary purpose of this study was to test whether there is regional cerebral age-related hypometabolism specifically in later stages of life.</p>
</div>
<div id="sec-2" class="subsection"> 
<p id="p-3"><strong>MATERIALS AND METHODS:</strong> MR imaging and FDG-PET data were acquired from 55 cognitively healthy elderly subjects, and voxel-based linear correlations between age and GM volume or regional cerebral metabolism were conducted by using SPM5 in images with and without correction for PVE. To investigate sex-specific differences in the pattern of brain aging, we repeated the above voxelwise calculations after dividing our sample by sex.</p>
</div>
<div id="sec-3" class="subsection"> 
<p id="p-4"><strong>RESULTS:</strong> Our analysis revealed 2 large clusters of age-related metabolic decrease in the overall sample, 1 in the left orbitofrontal cortex and the other in the right temporolimbic region, encompassing the hippocampus, the parahippocampal gyrus, and the amygdala. The division of our sample by sex revealed significant sex-specific age-related metabolic decrease in the left temporolimbic region of men and in the left dorsolateral frontal cortex of women. When we applied atrophy correction to our PET data, none of the above-mentioned correlations remained significant.</p>
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<div id="sec-4" class="subsection"> 
<p id="p-5"><strong>CONCLUSIONS:</strong> Our findings suggest that age-related functional brain variability in cognitively healthy elderly individuals is largely secondary to the degree of regional brain atrophy, and the findings provide support to the notion that appropriate PVE correction is a key tool in neuroimaging investigations.</p>
</div>
</div><div class="section glossary" id="glossary-1"><h2>Abbreviations</h2><dl id="def-list-1"><dt id="def-item-1">AD<span class="def-item-dt-sep"></span></dt><dd>Alzheimer disease<span class="def-item-dd-sep"></span></dd><dt id="def-item-2">APOE<span class="def-item-dt-sep"></span></dt><dd>apolipoprotein E<span class="def-item-dd-sep"></span></dd><dt id="def-item-3">BA<span class="def-item-dt-sep"></span></dt><dd>Brodmann area<span class="def-item-dd-sep"></span></dd><dt id="def-item-4">CERAD<span class="def-item-dt-sep"></span></dt><dd>Consortium to Establish a Registry for Alzheimer's Disease<span class="def-item-dd-sep"></span></dd><dt id="def-item-5">CMRglc<span class="def-item-dt-sep"></span></dt><dd>cerebral metabolic rate for glucose consumption<span class="def-item-dd-sep"></span></dd><dt id="def-item-6">DARTEL<span class="def-item-dt-sep"></span></dt><dd>Diffeomorphic Anatomical Registration Through Exponentiated Lie Algebra<span class="def-item-dd-sep"></span></dd><dt id="def-item-7">FDG<span class="def-item-dt-sep"></span></dt><dd>[<sup>18</sup>F]fluorodeoxyglucose<span class="def-item-dd-sep"></span></dd><dt id="def-item-8">FCHDR<span class="def-item-dt-sep"></span></dt><dd>Framingham Coronary Heart Disease Risk<span class="def-item-dd-sep"></span></dd><dt id="def-item-9">FWHM<span class="def-item-dt-sep"></span></dt><dd>full width at half maximum<span class="def-item-dd-sep"></span></dd><dt id="def-item-10">GM<span class="def-item-dt-sep"></span></dt><dd>gray matter<span class="def-item-dd-sep"></span></dd><dt id="def-item-11">HWE<span class="def-item-dt-sep"></span></dt><dd>Hardy-Weinberg equilibrium<span class="def-item-dd-sep"></span></dd><dt id="def-item-12">MCI<span class="def-item-dt-sep"></span></dt><dd>mild cognitive impairment<span class="def-item-dd-sep"></span></dd><dt id="def-item-13">MNI<span class="def-item-dt-sep"></span></dt><dd>Montreal Neurological Institute<span class="def-item-dd-sep"></span></dd><dt id="def-item-14">PET<span class="def-item-dt-sep"></span></dt><dd>positron-emission tomography<span class="def-item-dd-sep"></span></dd><dt id="def-item-15">PVE<span class="def-item-dt-sep"></span></dt><dd>partial volume effects<span class="def-item-dd-sep"></span></dd><dt id="def-item-16">SNP<span class="def-item-dt-sep"></span></dt><dd>single nucleotide polymorphism<span class="def-item-dd-sep"></span></dd><dt id="def-item-17">SPAH<span class="def-item-dt-sep"></span></dt><dd>São Paulo Ageing and Health study<span class="def-item-dd-sep"></span></dd><dt id="def-item-18">SPM<span class="def-item-dt-sep"></span></dt><dd>statistical parametric mapping<span class="def-item-dd-sep"></span></dd><dt id="def-item-19">SVC<span class="def-item-dt-sep"></span></dt><dd>small-volume correction<span class="def-item-dd-sep"></span></dd><dt id="def-item-20">VBM<span class="def-item-dt-sep"></span></dt><dd>voxel-based morphometry</dd></dl></div><ul class="copyright-statement"><li class="fn" id="copyright-statement-1">Copyright © American Society 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/32/3/560.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">Age-Related Metabolic Profiles in Cognitively Healthy Elders: Results from a Voxel-Based [<sup>18</sup>F]Fluorodeoxyglucose–Positron-Emission Tomography Study with Partial Volume Effects Correction</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">P.K.</span> <span class="nlm-surname">Curiati</span></span>, <span class="highwire-citation-author" data-delta="1"><span class="nlm-given-names">J.H.</span> <span class="nlm-surname">Tamashiro-Duran</span></span>, <span class="highwire-citation-author" data-delta="2"><span class="nlm-given-names">F.L.S.</span> <span class="nlm-surname">Duran</span></span>, <span class="highwire-citation-author" data-delta="3"><span class="nlm-given-names">C.A.</span> <span class="nlm-surname">Buchpiguel</span></span>, <span class="highwire-citation-author" data-delta="4"><span class="nlm-given-names">P.</span> <span class="nlm-surname">Squarzoni</span></span>, <span class="highwire-citation-author" data-delta="5"><span class="nlm-given-names">D.C.</span> <span class="nlm-surname">Romano</span></span>, <span class="highwire-citation-author" data-delta="6"><span class="nlm-given-names">H.</span> <span class="nlm-surname">Vallada</span></span>, <span class="highwire-citation-author" data-delta="7"><span class="nlm-given-names">P.R.</span> <span class="nlm-surname">Menezes</span></span>, <span class="highwire-citation-author" data-delta="8"><span class="nlm-given-names">M.</span> <span class="nlm-surname">Scazufca</span></span>, <span class="highwire-citation-author" data-delta="9"><span class="nlm-given-names">G.F.</span> <span class="nlm-surname">Busatto</span></span>, <span class="highwire-citation-author" data-delta="10"><span class="nlm-given-names">T.C.T.F.</span> <span class="nlm-surname">Alves</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">Mar 2011, </span><span  class="highwire-cite-metadata-volume highwire-cite-metadata">32 </span><span  class="highwire-cite-metadata-issue highwire-cite-metadata">(3) </span><span  class="highwire-cite-metadata-pages highwire-cite-metadata">560-565; </span><span  class="highwire-cite-metadata-doi highwire-cite-metadata"><span class="label">DOI:</span> 10.3174/ajnr.A2321 </span></div>
  
  
  
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      <div class="highwire-cite-title">Age-Related Metabolic Profiles in Cognitively Healthy Elders: Results from a Voxel-Based [<sup>18</sup>F]Fluorodeoxyglucose–Positron-Emission Tomography Study with Partial Volume Effects Correction</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">P.K.</span> <span class="nlm-surname">Curiati</span></span>, <span class="highwire-citation-author" data-delta="1"><span class="nlm-given-names">J.H.</span> <span class="nlm-surname">Tamashiro-Duran</span></span>, <span class="highwire-citation-author" data-delta="2"><span class="nlm-given-names">F.L.S.</span> <span class="nlm-surname">Duran</span></span>, <span class="highwire-citation-author" data-delta="3"><span class="nlm-given-names">C.A.</span> <span class="nlm-surname">Buchpiguel</span></span>, <span class="highwire-citation-author" data-delta="4"><span class="nlm-given-names">P.</span> <span class="nlm-surname">Squarzoni</span></span>, <span class="highwire-citation-author" data-delta="5"><span class="nlm-given-names">D.C.</span> <span class="nlm-surname">Romano</span></span>, <span class="highwire-citation-author" data-delta="6"><span class="nlm-given-names">H.</span> <span class="nlm-surname">Vallada</span></span>, <span class="highwire-citation-author" data-delta="7"><span class="nlm-given-names">P.R.</span> <span class="nlm-surname">Menezes</span></span>, <span class="highwire-citation-author" data-delta="8"><span class="nlm-given-names">M.</span> <span class="nlm-surname">Scazufca</span></span>, <span class="highwire-citation-author" data-delta="9"><span class="nlm-given-names">G.F.</span> <span class="nlm-surname">Busatto</span></span>, <span class="highwire-citation-author" data-delta="10"><span class="nlm-given-names">T.C.T.F.</span> <span class="nlm-surname">Alves</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">Mar 2011, </span><span  class="highwire-cite-metadata-volume highwire-cite-metadata">32 </span><span  class="highwire-cite-metadata-issue highwire-cite-metadata">(3) </span><span  class="highwire-cite-metadata-pages highwire-cite-metadata">560-565; </span><span  class="highwire-cite-metadata-doi highwire-cite-metadata"><span class="label">DOI:</span> 10.3174/ajnr.A2321 </span></div>
  
  
  
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