Automated structural imaging analysis detects premanifest Huntington's disease neurodegeneration within 1 year
Identifieur interne : 001850 ( Main/Merge ); précédent : 001849; suivant : 001851Automated structural imaging analysis detects premanifest Huntington's disease neurodegeneration within 1 year
Auteurs : D. S. Adnan Majid [États-Unis] ; Diederick Stoffers [Pays-Bas] ; Sarah Sheldon [États-Unis] ; Samar Hamza [États-Unis] ; Wesley K. Thompson [États-Unis] ; Jody Goldstein [États-Unis] ; Jody Corey-Bloom [États-Unis] ; Adam R. Aron [États-Unis]Source :
- Movement Disorders [ 0885-3185 ] ; 2011-07.
English descriptors
- KwdEn :
- Adult, Brain (pathology), Case-Control Studies, Cognition Disorders (diagnosis), Cognition Disorders (etiology), Disease Progression, Female, Humans, Huntington Disease (complications), Huntington Disease (diagnosis), Image Processing, Computer-Assisted, Longitudinal Studies, MRI biomarker, Magnetic Resonance Imaging (methods), Male, Middle Aged, Nerve Degeneration (diagnosis), Nerve Degeneration (etiology), longitudinal atrophy, premanifest HD.
- MESH :
- complications : Huntington Disease.
- diagnosis : Cognition Disorders, Huntington Disease, Nerve Degeneration.
- etiology : Cognition Disorders, Nerve Degeneration.
- methods : Magnetic Resonance Imaging.
- pathology : Brain.
- Adult, Case-Control Studies, Disease Progression, Female, Humans, Image Processing, Computer-Assisted, Longitudinal Studies, Male, Middle Aged.
Abstract
Intense efforts are underway to evaluate neuroimaging measures as biomarkers for neurodegeneration in premanifest Huntington's disease (preHD). We used a completely automated longitudinal analysis method to compare structural scans in preHD individuals and controls. Using a 1‐year longitudinal design, we analyzed T1‐weighted structural scans in 35 preHD individuals and 22 age‐matched controls. We used the SIENA (Structural Image Evaluation, using Normalization, of Atrophy) software tool to yield overall percentage brain volume change (PBVC) and voxel‐level changes in atrophy. We calculated sample sizes for a hypothetical disease‐modifying (neuroprotection) study. We found significantly greater yearly atrophy in preHD individuals versus controls (mean PBVC controls, −0.149%; preHD, −0.388%; P = .031, Cohen's d = .617). For a preHD subgroup closest to disease onset, yearly atrophy was more than 3 times that of controls (mean PBVC close‐to‐onset preHD, −0.510%; P = .019, Cohen's d = .920). This atrophy was evident at the voxel level in periventricular regions, consistent with well‐established preHD basal ganglia atrophy. We estimated that a neuroprotection study using SIENA would only need 74 close‐to‐onset individuals in each arm (treatment vs placebo) to detect a 50% slowing in yearly atrophy with 80% power. Automated whole‐brain analysis of structural MRI can reliably detect preHD disease progression in 1 year. These results were attained with a readily available imaging analysis tool, SIENA, which is observer independent, automated, and robust with respect to image quality, slice thickness, and different pulse sequences. This MRI biomarker approach could be used to evaluate neuroprotection in preHD. © 2011 Movement Disorder Society
Url:
- https://api.istex.fr/document/513EB143EAF43F3EE6C748913627587EA86F73BD/fulltext/pdf
- http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3136652
DOI: 10.1002/mds.23656
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ISTEX:513EB143EAF43F3EE6C748913627587EA86F73BDLe document en format XML
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Disord.</title><idno type="ISSN">0885-3185</idno><idno type="eISSN">1531-8257</idno><imprint><publisher>Wiley Subscription Services, Inc., A Wiley Company</publisher><pubPlace>Hoboken</pubPlace><date type="published" when="2011-07">2011-07</date><biblScope unit="vol">26</biblScope><biblScope unit="issue">8</biblScope><biblScope unit="page" from="1481">1481</biblScope><biblScope unit="page" to="1488">1488</biblScope></imprint><idno type="ISSN">0885-3185</idno></series><idno type="istex">513EB143EAF43F3EE6C748913627587EA86F73BD</idno><idno type="DOI">10.1002/mds.23656</idno><idno type="ArticleID">MDS23656</idno></biblStruct></sourceDesc><seriesStmt><idno type="ISSN">0885-3185</idno></seriesStmt></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Adult</term><term>Brain (pathology)</term><term>Case-Control Studies</term><term>Cognition Disorders (diagnosis)</term><term>Cognition Disorders (etiology)</term><term>Disease Progression</term><term>Female</term><term>Humans</term><term>Huntington Disease (complications)</term><term>Huntington Disease (diagnosis)</term><term>Image Processing, Computer-Assisted</term><term>Longitudinal Studies</term><term>MRI biomarker</term><term>Magnetic Resonance Imaging (methods)</term><term>Male</term><term>Middle Aged</term><term>Nerve Degeneration (diagnosis)</term><term>Nerve Degeneration (etiology)</term><term>longitudinal atrophy</term><term>premanifest HD</term></keywords><keywords scheme="MESH" qualifier="complications" xml:lang="en"><term>Huntington Disease</term></keywords><keywords scheme="MESH" qualifier="diagnosis" xml:lang="en"><term>Cognition Disorders</term><term>Huntington Disease</term><term>Nerve Degeneration</term></keywords><keywords scheme="MESH" qualifier="etiology" xml:lang="en"><term>Cognition Disorders</term><term>Nerve Degeneration</term></keywords><keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Magnetic Resonance Imaging</term></keywords><keywords scheme="MESH" qualifier="pathology" xml:lang="en"><term>Brain</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Adult</term><term>Case-Control Studies</term><term>Disease Progression</term><term>Female</term><term>Humans</term><term>Image Processing, Computer-Assisted</term><term>Longitudinal Studies</term><term>Male</term><term>Middle Aged</term></keywords></textClass><langUsage><language ident="en">en</language></langUsage></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Intense efforts are underway to evaluate neuroimaging measures as biomarkers for neurodegeneration in premanifest Huntington's disease (preHD). We used a completely automated longitudinal analysis method to compare structural scans in preHD individuals and controls. Using a 1‐year longitudinal design, we analyzed T1‐weighted structural scans in 35 preHD individuals and 22 age‐matched controls. We used the SIENA (Structural Image Evaluation, using Normalization, of Atrophy) software tool to yield overall percentage brain volume change (PBVC) and voxel‐level changes in atrophy. We calculated sample sizes for a hypothetical disease‐modifying (neuroprotection) study. We found significantly greater yearly atrophy in preHD individuals versus controls (mean PBVC controls, −0.149%; preHD, −0.388%; P = .031, Cohen's d = .617). For a preHD subgroup closest to disease onset, yearly atrophy was more than 3 times that of controls (mean PBVC close‐to‐onset preHD, −0.510%; P = .019, Cohen's d = .920). This atrophy was evident at the voxel level in periventricular regions, consistent with well‐established preHD basal ganglia atrophy. We estimated that a neuroprotection study using SIENA would only need 74 close‐to‐onset individuals in each arm (treatment vs placebo) to detect a 50% slowing in yearly atrophy with 80% power. Automated whole‐brain analysis of structural MRI can reliably detect preHD disease progression in 1 year. These results were attained with a readily available imaging analysis tool, SIENA, which is observer independent, automated, and robust with respect to image quality, slice thickness, and different pulse sequences. This MRI biomarker approach could be used to evaluate neuroprotection in preHD. © 2011 Movement Disorder Society</div></front></TEI><double doi="10.1002/mds.23656"><ISTEX><TEI wicri:istexFullTextTei="biblStruct"><teiHeader><fileDesc><titleStmt><title xml:lang="en">Automated structural imaging analysis detects premanifest Huntington's disease neurodegeneration within 1 year</title><author><name sortKey="Majid, D S Adnan" sort="Majid, D S Adnan" uniqKey="Majid D" first="D. S. Adnan" last="Majid">D. S. Adnan Majid</name></author><author><name sortKey="Stoffers, Diederick" sort="Stoffers, Diederick" uniqKey="Stoffers D" first="Diederick" last="Stoffers">Diederick Stoffers</name></author><author><name sortKey="Sheldon, Sarah" sort="Sheldon, Sarah" uniqKey="Sheldon S" first="Sarah" last="Sheldon">Sarah Sheldon</name></author><author><name sortKey="Hamza, Samar" sort="Hamza, Samar" uniqKey="Hamza S" first="Samar" last="Hamza">Samar Hamza</name></author><author><name sortKey="Thompson, Wesley K" sort="Thompson, Wesley K" uniqKey="Thompson W" first="Wesley K." last="Thompson">Wesley K. Thompson</name></author><author><name sortKey="Goldstein, Jody" sort="Goldstein, Jody" uniqKey="Goldstein J" first="Jody" last="Goldstein">Jody Goldstein</name></author><author><name sortKey="Corey Loom, Jody" sort="Corey Loom, Jody" uniqKey="Corey Loom J" first="Jody" last="Corey-Bloom">Jody Corey-Bloom</name></author><author><name sortKey="Aron, Adam R" sort="Aron, Adam R" uniqKey="Aron A" first="Adam R." last="Aron">Adam R. Aron</name></author></titleStmt><publicationStmt><idno type="wicri:source">ISTEX</idno><idno type="RBID">ISTEX:513EB143EAF43F3EE6C748913627587EA86F73BD</idno><date when="2011" year="2011">2011</date><idno type="doi">10.1002/mds.23656</idno><idno type="url">https://api.istex.fr/document/513EB143EAF43F3EE6C748913627587EA86F73BD/fulltext/pdf</idno><idno type="wicri:Area/Istex/Corpus">000094</idno><idno type="wicri:Area/Istex/Curation">000094</idno><idno type="wicri:Area/Istex/Checkpoint">000529</idno><idno type="wicri:doubleKey">0885-3185:2011:Majid D:automated:structural:imaging</idno></publicationStmt><sourceDesc><biblStruct><analytic><title level="a" type="main" xml:lang="en">Automated structural imaging analysis detects premanifest Huntington's disease neurodegeneration within 1 year</title><author><name sortKey="Majid, D S Adnan" sort="Majid, D S Adnan" uniqKey="Majid D" first="D. S. Adnan" last="Majid">D. S. Adnan Majid</name><affiliation wicri:level="2"><country xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Psychology, University of California, San Diego (UCSD), San Diego, California</wicri:regionArea><placeName><region type="state">Californie</region></placeName></affiliation><affiliation wicri:level="2"><country xml:lang="fr">États-Unis</country><wicri:regionArea>Neurosciences Graduate Program, University of California, San Diego (UCSD), San Diego, California</wicri:regionArea><placeName><region type="state">Californie</region></placeName></affiliation></author><author><name sortKey="Stoffers, Diederick" sort="Stoffers, Diederick" uniqKey="Stoffers D" first="Diederick" last="Stoffers">Diederick Stoffers</name><affiliation wicri:level="3"><country xml:lang="fr">Pays-Bas</country><wicri:regionArea>Netherlands Institute for Neuroscience, Amsterdam</wicri:regionArea><placeName><settlement type="city">Amsterdam</settlement><region nuts="2" type="province">Hollande-Septentrionale</region></placeName></affiliation></author><author><name sortKey="Sheldon, Sarah" sort="Sheldon, Sarah" uniqKey="Sheldon S" first="Sarah" last="Sheldon">Sarah Sheldon</name><affiliation wicri:level="2"><country xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Neurosciences, University of California, San Diego (UCSD), San Diego, California</wicri:regionArea><placeName><region type="state">Californie</region></placeName></affiliation></author><author><name sortKey="Hamza, Samar" sort="Hamza, Samar" uniqKey="Hamza S" first="Samar" last="Hamza">Samar Hamza</name><affiliation wicri:level="2"><country xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Neurosciences, University of California, San Diego (UCSD), San Diego, California</wicri:regionArea><placeName><region type="state">Californie</region></placeName></affiliation></author><author><name sortKey="Thompson, Wesley K" sort="Thompson, Wesley K" uniqKey="Thompson W" first="Wesley K." last="Thompson">Wesley K. Thompson</name><affiliation wicri:level="2"><country xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Psychiatry, University of California, San Diego (UCSD), San Diego, California</wicri:regionArea><placeName><region type="state">Californie</region></placeName></affiliation></author><author><name sortKey="Goldstein, Jody" sort="Goldstein, Jody" uniqKey="Goldstein J" first="Jody" last="Goldstein">Jody Goldstein</name><affiliation wicri:level="2"><country xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Neurosciences, University of California, San Diego (UCSD), San Diego, California</wicri:regionArea><placeName><region type="state">Californie</region></placeName></affiliation></author><author><name sortKey="Corey Loom, Jody" sort="Corey Loom, Jody" uniqKey="Corey Loom J" first="Jody" last="Corey-Bloom">Jody Corey-Bloom</name><affiliation wicri:level="2"><country xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Neurosciences, University of California, San Diego (UCSD), San Diego, California</wicri:regionArea><placeName><region type="state">Californie</region></placeName></affiliation></author><author><name sortKey="Aron, Adam R" sort="Aron, Adam R" uniqKey="Aron A" first="Adam R." last="Aron">Adam R. Aron</name><affiliation wicri:level="2"><country xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Psychology, University of California, San Diego (UCSD), San Diego, California</wicri:regionArea><placeName><region type="state">Californie</region></placeName></affiliation><affiliation wicri:level="2"><country xml:lang="fr">États-Unis</country><wicri:regionArea>Neurosciences Graduate Program, University of California, San Diego (UCSD), San Diego, California</wicri:regionArea><placeName><region type="state">Californie</region></placeName></affiliation></author></analytic><monogr></monogr><series><title level="j">Movement Disorders</title><title level="j" type="abbrev">Mov. Disord.</title><idno type="ISSN">0885-3185</idno><idno type="eISSN">1531-8257</idno><imprint><publisher>Wiley Subscription Services, Inc., A Wiley Company</publisher><pubPlace>Hoboken</pubPlace><date type="published" when="2011-07">2011-07</date><biblScope unit="vol">26</biblScope><biblScope unit="issue">8</biblScope><biblScope unit="page" from="1481">1481</biblScope><biblScope unit="page" to="1488">1488</biblScope></imprint><idno type="ISSN">0885-3185</idno></series><idno type="istex">513EB143EAF43F3EE6C748913627587EA86F73BD</idno><idno type="DOI">10.1002/mds.23656</idno><idno type="ArticleID">MDS23656</idno></biblStruct></sourceDesc><seriesStmt><idno type="ISSN">0885-3185</idno></seriesStmt></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>MRI biomarker</term><term>longitudinal atrophy</term><term>premanifest HD</term></keywords></textClass><langUsage><language ident="en">en</language></langUsage></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Intense efforts are underway to evaluate neuroimaging measures as biomarkers for neurodegeneration in premanifest Huntington's disease (preHD). We used a completely automated longitudinal analysis method to compare structural scans in preHD individuals and controls. Using a 1‐year longitudinal design, we analyzed T1‐weighted structural scans in 35 preHD individuals and 22 age‐matched controls. We used the SIENA (Structural Image Evaluation, using Normalization, of Atrophy) software tool to yield overall percentage brain volume change (PBVC) and voxel‐level changes in atrophy. We calculated sample sizes for a hypothetical disease‐modifying (neuroprotection) study. We found significantly greater yearly atrophy in preHD individuals versus controls (mean PBVC controls, −0.149%; preHD, −0.388%; P = .031, Cohen's d = .617). For a preHD subgroup closest to disease onset, yearly atrophy was more than 3 times that of controls (mean PBVC close‐to‐onset preHD, −0.510%; P = .019, Cohen's d = .920). This atrophy was evident at the voxel level in periventricular regions, consistent with well‐established preHD basal ganglia atrophy. We estimated that a neuroprotection study using SIENA would only need 74 close‐to‐onset individuals in each arm (treatment vs placebo) to detect a 50% slowing in yearly atrophy with 80% power. Automated whole‐brain analysis of structural MRI can reliably detect preHD disease progression in 1 year. These results were attained with a readily available imaging analysis tool, SIENA, which is observer independent, automated, and robust with respect to image quality, slice thickness, and different pulse sequences. This MRI biomarker approach could be used to evaluate neuroprotection in preHD. © 2011 Movement Disorder Society</div></front></TEI></ISTEX><PMC><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Automated structural imaging analysis detects premanifest Huntington’s disease neurodegeneration within one year</title><author><name sortKey="Majid, D S Adnan" sort="Majid, D S Adnan" uniqKey="Majid D" first="D. S. Adnan" last="Majid">D. S. Adnan Majid</name><affiliation wicri:level="1"><nlm:aff id="A1"> Department of Psychology, University of California, San Diego (UCSD), USA</nlm:aff><country xml:lang="fr">États-Unis</country><wicri:regionArea> Department of Psychology, University of California, San Diego (UCSD)</wicri:regionArea><wicri:noRegion>San Diego (UCSD)</wicri:noRegion></affiliation><affiliation wicri:level="1"><nlm:aff id="A2"> Neurosciences Graduate Program, University of California, San Diego (UCSD), USA</nlm:aff><country xml:lang="fr">États-Unis</country><wicri:regionArea> Neurosciences Graduate Program, University of California, San Diego (UCSD)</wicri:regionArea><wicri:noRegion>San Diego (UCSD)</wicri:noRegion></affiliation></author><author><name sortKey="Stoffers, Diederick" sort="Stoffers, Diederick" uniqKey="Stoffers D" first="Diederick" last="Stoffers">Diederick Stoffers</name><affiliation wicri:level="3"><nlm:aff id="A3"> Netherlands Institute for Neurosciences, Amsterdam, The Netherlands</nlm:aff><country xml:lang="fr">Pays-Bas</country><wicri:regionArea> Netherlands Institute for Neurosciences, Amsterdam</wicri:regionArea><placeName><settlement type="city">Amsterdam</settlement><region nuts="2" type="province">Hollande-Septentrionale</region></placeName></affiliation></author><author><name sortKey="Sheldon, Sarah" sort="Sheldon, Sarah" uniqKey="Sheldon S" first="Sarah" last="Sheldon">Sarah Sheldon</name><affiliation wicri:level="1"><nlm:aff id="A4"> Department of Neurosciences, University of California, San Diego (UCSD), USA</nlm:aff><country xml:lang="fr">États-Unis</country><wicri:regionArea> Department of Neurosciences, University of California, San Diego (UCSD)</wicri:regionArea><wicri:noRegion>San Diego (UCSD)</wicri:noRegion></affiliation></author><author><name sortKey="Hamza, Samar" sort="Hamza, Samar" uniqKey="Hamza S" first="Samar" last="Hamza">Samar Hamza</name><affiliation wicri:level="1"><nlm:aff id="A4"> Department of Neurosciences, University of California, San Diego (UCSD), USA</nlm:aff><country xml:lang="fr">États-Unis</country><wicri:regionArea> Department of Neurosciences, University of California, San Diego (UCSD)</wicri:regionArea><wicri:noRegion>San Diego (UCSD)</wicri:noRegion></affiliation></author><author><name sortKey="Thompson, Wesley K" sort="Thompson, Wesley K" uniqKey="Thompson W" first="Wesley K." last="Thompson">Wesley K. Thompson</name><affiliation wicri:level="1"><nlm:aff id="A5"> Department of Psychiatry, University of California, San Diego (UCSD), USA</nlm:aff><country xml:lang="fr">États-Unis</country><wicri:regionArea> Department of Psychiatry, University of California, San Diego (UCSD)</wicri:regionArea><wicri:noRegion>San Diego (UCSD)</wicri:noRegion></affiliation></author><author><name sortKey="Goldstein, Jody" sort="Goldstein, Jody" uniqKey="Goldstein J" first="Jody" last="Goldstein">Jody Goldstein</name><affiliation wicri:level="1"><nlm:aff id="A4"> Department of Neurosciences, University of California, San Diego (UCSD), USA</nlm:aff><country xml:lang="fr">États-Unis</country><wicri:regionArea> Department of Neurosciences, University of California, San Diego (UCSD)</wicri:regionArea><wicri:noRegion>San Diego (UCSD)</wicri:noRegion></affiliation></author><author><name sortKey="Corey Bloom, Jody" sort="Corey Bloom, Jody" uniqKey="Corey Bloom J" first="Jody" last="Corey-Bloom">Jody Corey-Bloom</name><affiliation wicri:level="1"><nlm:aff id="A4"> Department of Neurosciences, University of California, San Diego (UCSD), USA</nlm:aff><country xml:lang="fr">États-Unis</country><wicri:regionArea> Department of Neurosciences, University of California, San Diego (UCSD)</wicri:regionArea><wicri:noRegion>San Diego (UCSD)</wicri:noRegion></affiliation></author><author><name sortKey="Aron, Adam R" sort="Aron, Adam R" uniqKey="Aron A" first="Adam R." last="Aron">Adam R. Aron</name><affiliation wicri:level="1"><nlm:aff id="A1"> Department of Psychology, University of California, San Diego (UCSD), USA</nlm:aff><country xml:lang="fr">États-Unis</country><wicri:regionArea> Department of Psychology, University of California, San Diego (UCSD)</wicri:regionArea><wicri:noRegion>San Diego (UCSD)</wicri:noRegion></affiliation><affiliation wicri:level="1"><nlm:aff id="A2"> Neurosciences Graduate Program, University of California, San Diego (UCSD), USA</nlm:aff><country xml:lang="fr">États-Unis</country><wicri:regionArea> Neurosciences Graduate Program, University of California, San Diego (UCSD)</wicri:regionArea><wicri:noRegion>San Diego (UCSD)</wicri:noRegion></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PMC</idno><idno type="pmid">21484871</idno><idno type="pmc">3136652</idno><idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3136652</idno><idno type="RBID">PMC:3136652</idno><idno type="doi">10.1002/mds.23656</idno><date when="2011">2011</date><idno type="wicri:Area/Pmc/Corpus">000135</idno><idno type="wicri:Area/Pmc/Curation">000135</idno><idno type="wicri:Area/Pmc/Checkpoint">000282</idno><idno type="wicri:source">PubMed</idno><idno type="wicri:Area/PubMed/Corpus">001294</idno><idno type="wicri:Area/PubMed/Curation">001294</idno><idno type="wicri:Area/PubMed/Checkpoint">001462</idno><idno type="wicri:Area/Ncbi/Merge">003133</idno><idno type="wicri:Area/Ncbi/Curation">003133</idno><idno type="wicri:Area/Ncbi/Checkpoint">003133</idno><idno type="wicri:doubleKey">0885-3185:2011:Majid D:automated:structural:imaging</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">Automated structural imaging analysis detects premanifest Huntington’s disease neurodegeneration within one year</title><author><name sortKey="Majid, D S Adnan" sort="Majid, D S Adnan" uniqKey="Majid D" first="D. S. Adnan" last="Majid">D. S. Adnan Majid</name><affiliation wicri:level="1"><nlm:aff id="A1"> Department of Psychology, University of California, San Diego (UCSD), USA</nlm:aff><country xml:lang="fr">États-Unis</country><wicri:regionArea> Department of Psychology, University of California, San Diego (UCSD)</wicri:regionArea><wicri:noRegion>San Diego (UCSD)</wicri:noRegion></affiliation><affiliation wicri:level="1"><nlm:aff id="A2"> Neurosciences Graduate Program, University of California, San Diego (UCSD), USA</nlm:aff><country xml:lang="fr">États-Unis</country><wicri:regionArea> Neurosciences Graduate Program, University of California, San Diego (UCSD)</wicri:regionArea><wicri:noRegion>San Diego (UCSD)</wicri:noRegion></affiliation></author><author><name sortKey="Stoffers, Diederick" sort="Stoffers, Diederick" uniqKey="Stoffers D" first="Diederick" last="Stoffers">Diederick Stoffers</name><affiliation wicri:level="3"><nlm:aff id="A3"> Netherlands Institute for Neurosciences, Amsterdam, The Netherlands</nlm:aff><country xml:lang="fr">Pays-Bas</country><wicri:regionArea> Netherlands Institute for Neurosciences, Amsterdam</wicri:regionArea><placeName><settlement type="city">Amsterdam</settlement><region nuts="2" type="province">Hollande-Septentrionale</region></placeName></affiliation></author><author><name sortKey="Sheldon, Sarah" sort="Sheldon, Sarah" uniqKey="Sheldon S" first="Sarah" last="Sheldon">Sarah Sheldon</name><affiliation wicri:level="1"><nlm:aff id="A4"> Department of Neurosciences, University of California, San Diego (UCSD), USA</nlm:aff><country xml:lang="fr">États-Unis</country><wicri:regionArea> Department of Neurosciences, University of California, San Diego (UCSD)</wicri:regionArea><wicri:noRegion>San Diego (UCSD)</wicri:noRegion></affiliation></author><author><name sortKey="Hamza, Samar" sort="Hamza, Samar" uniqKey="Hamza S" first="Samar" last="Hamza">Samar Hamza</name><affiliation wicri:level="1"><nlm:aff id="A4"> Department of Neurosciences, University of California, San Diego (UCSD), USA</nlm:aff><country xml:lang="fr">États-Unis</country><wicri:regionArea> Department of Neurosciences, University of California, San Diego (UCSD)</wicri:regionArea><wicri:noRegion>San Diego (UCSD)</wicri:noRegion></affiliation></author><author><name sortKey="Thompson, Wesley K" sort="Thompson, Wesley K" uniqKey="Thompson W" first="Wesley K." last="Thompson">Wesley K. Thompson</name><affiliation wicri:level="1"><nlm:aff id="A5"> Department of Psychiatry, University of California, San Diego (UCSD), USA</nlm:aff><country xml:lang="fr">États-Unis</country><wicri:regionArea> Department of Psychiatry, University of California, San Diego (UCSD)</wicri:regionArea><wicri:noRegion>San Diego (UCSD)</wicri:noRegion></affiliation></author><author><name sortKey="Goldstein, Jody" sort="Goldstein, Jody" uniqKey="Goldstein J" first="Jody" last="Goldstein">Jody Goldstein</name><affiliation wicri:level="1"><nlm:aff id="A4"> Department of Neurosciences, University of California, San Diego (UCSD), USA</nlm:aff><country xml:lang="fr">États-Unis</country><wicri:regionArea> Department of Neurosciences, University of California, San Diego (UCSD)</wicri:regionArea><wicri:noRegion>San Diego (UCSD)</wicri:noRegion></affiliation></author><author><name sortKey="Corey Bloom, Jody" sort="Corey Bloom, Jody" uniqKey="Corey Bloom J" first="Jody" last="Corey-Bloom">Jody Corey-Bloom</name><affiliation wicri:level="1"><nlm:aff id="A4"> Department of Neurosciences, University of California, San Diego (UCSD), USA</nlm:aff><country xml:lang="fr">États-Unis</country><wicri:regionArea> Department of Neurosciences, University of California, San Diego (UCSD)</wicri:regionArea><wicri:noRegion>San Diego (UCSD)</wicri:noRegion></affiliation></author><author><name sortKey="Aron, Adam R" sort="Aron, Adam R" uniqKey="Aron A" first="Adam R." last="Aron">Adam R. Aron</name><affiliation wicri:level="1"><nlm:aff id="A1"> Department of Psychology, University of California, San Diego (UCSD), USA</nlm:aff><country xml:lang="fr">États-Unis</country><wicri:regionArea> Department of Psychology, University of California, San Diego (UCSD)</wicri:regionArea><wicri:noRegion>San Diego (UCSD)</wicri:noRegion></affiliation><affiliation wicri:level="1"><nlm:aff id="A2"> Neurosciences Graduate Program, University of California, San Diego (UCSD), USA</nlm:aff><country xml:lang="fr">États-Unis</country><wicri:regionArea> Neurosciences Graduate Program, University of California, San Diego (UCSD)</wicri:regionArea><wicri:noRegion>San Diego (UCSD)</wicri:noRegion></affiliation></author></analytic><series><title level="j">Movement disorders : official journal of the Movement Disorder Society</title><idno type="ISSN">0885-3185</idno><idno type="eISSN">1531-8257</idno><imprint><date when="2011">2011</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Adult</term><term>Brain (pathology)</term><term>Case-Control Studies</term><term>Cognition Disorders (diagnosis)</term><term>Cognition Disorders (etiology)</term><term>Disease Progression</term><term>Female</term><term>Humans</term><term>Huntington Disease (complications)</term><term>Huntington Disease (diagnosis)</term><term>Image Processing, Computer-Assisted</term><term>Longitudinal Studies</term><term>Magnetic Resonance Imaging (methods)</term><term>Male</term><term>Middle Aged</term><term>Nerve Degeneration (diagnosis)</term><term>Nerve Degeneration (etiology)</term></keywords><keywords scheme="MESH" qualifier="complications" xml:lang="en"><term>Huntington Disease</term></keywords><keywords scheme="MESH" qualifier="diagnosis" xml:lang="en"><term>Cognition Disorders</term><term>Huntington Disease</term><term>Nerve Degeneration</term></keywords><keywords scheme="MESH" qualifier="etiology" xml:lang="en"><term>Cognition Disorders</term><term>Nerve Degeneration</term></keywords><keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Magnetic Resonance Imaging</term></keywords><keywords scheme="MESH" qualifier="pathology" xml:lang="en"><term>Brain</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Adult</term><term>Case-Control Studies</term><term>Disease Progression</term><term>Female</term><term>Humans</term><term>Image Processing, Computer-Assisted</term><term>Longitudinal Studies</term><term>Male</term><term>Middle Aged</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><sec id="S1"><title>Background</title><p id="P1">Intense efforts are underway to evaluate neuroimaging measures as biomarkers for neurodegeneration in premanifest Huntington’s disease (preHD). We used a completely automated longitudinal analysis method to compare structural scans in preHD and controls.</p></sec><sec sec-type="methods" id="S2"><title>Methods</title><p id="P2">Using a one-year longitudinal design, we analyzedT<sub>1</sub>-weighted structural scans in 35 preHD individuals and 22 age-matched controls. We used the SIENA software tool (Structural Image Evaluation, using Normalization, of Atrophy) to yield overall Percentage Brain Volume Change (PBVC) and voxel-level changes in atrophy. We calculated sample sizes for a hypothetical disease modifying (neuroprotection) study.</p></sec><sec id="S3"><title>Results</title><p id="P3">We found significantly greater yearly atrophy in preHD vs. controls (Mean PBVC controls = −0.149%; preHD = −0.388%; p=.031, Cohen’s d=.617). For a preHD subgroup closest to disease onset, yearly atrophy was over three times that of controls (Mean PBVC close-to-onset preHD = −0.510%; p=.019, Cohen’s d=.920). This atrophy was evident at the voxel level in periventricular regions – consistent with well-established preHD basal ganglia atrophy. We estimated that a neuroprotection study using SIENA would only need 74close-to-onset individuals in each arm (treatment vs. placebo) to detect a 50% slowing in yearly atrophy with80% power.</p></sec><sec id="S4"><title>Conclusions</title><p id="P4">Automated whole-brain analysis of structural MRI can reliably detect preHD disease progression over one year. These results were attained with a readily available imaging analysis tool – SIENA – which is observer-independent, automated, and robust with respect to image quality, slice thickness, and different pulse sequences. This MRI biomarker approach could be used to evaluate neuroprotection in preHD.</p></sec></div></front></TEI></PMC></double></record>Pour manipuler ce document sous Unix (Dilib)
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