Magnetic resonance imaging markers of Parkinsons disease nigrostriatal signature
Identifieur interne : 000456 ( Main/Exploration ); précédent : 000455; suivant : 000457Magnetic resonance imaging markers of Parkinsons disease nigrostriatal signature
Auteurs : Patrice Pran [Italie, France] ; Andrea Cherubini [Italie] ; Francesca Assogna [Italie] ; Fabrizio Piras [Italie] ; Carlo Quattrocchi [Italie] ; Antonella Peppe [Italie] ; Pierre Celsis [France] ; Olivier Rascol [France] ; Jean-Franois Dmonet [France] ; Alessandro Stefani [Italie] ; Mariangela Pierantozzi [Italie] ; Francesco Ernesto Pontieri [Italie] ; Carlo Caltagirone [Italie] ; Gianfranco Spalletta [Italie] ; Umberto Sabatini [Italie]Source :
- Brain [ 0006-8950 ] ; 2010-11.
Abstract
One objective of modern neuroimaging is to identify markers that can aid in diagnosis, disease progression monitoring and long-term drug impact analysis. In this study, Parkinson-associated physiopathological modifications were characterized in six subcortical structures by simultaneously measuring quantitative magnetic resonance parameters sensitive to complementary tissue characteristics (i.e. volume atrophy, iron deposition and microstructural damage). Thirty patients with Parkinsons disease and 22 control subjects underwent 3-T magnetic resonance imaging with T2-weighted, whole-brain T1-weighted and diffusion tensor imaging scans. The mean R2 value, mean diffusivity and fractional anisotropy in the pallidum, putamen, caudate nucleus, thalamus, substantia nigra and red nucleus were compared between patients with Parkinsons disease and control subjects. Comparisons were also performed using voxel-based analysis of R2, mean diffusivity and fractional anisotropy maps to determine which subregion of the basal ganglia showed the greater difference for each parameter. Averages of each subregion were then used in a logistic regression analysis. Compared with control subjects, patients with Parkinsons disease displayed significantly higher R2 values in the substantia nigra, lower fractional anisotropy values in the substantia nigra and thalamus, and higher mean diffusivity values in the thalamus. Voxel-based analyses confirmed these results and, in addition, showed a significant difference in the mean diffusivity in the striatum. The combination of three markers was sufficient to obtain a 95 global accuracy (area under the receiver operating characteristic curve) for discriminating patients with Parkinsons disease from controls. The markers comprising discriminating combinations were R2 in the substantia nigra, fractional anisotropy in the substantia nigra and mean diffusivity in the putamen or caudate nucleus. Remarkably, the predictive markers involved the nigrostriatal structures that characterize Parkinsons physiopathology. Furthermore, highly discriminating combinations included markers from three different magnetic resonance parameters (R2, mean diffusivity and fractional anisotropy). These findings demonstrate that multimodal magnetic resonance imaging of subcortical grey matter structures is useful for the evaluation of Parkinsons disease and, possibly, of other subcortical pathologies.
Url:
DOI: 10.1093/brain/awq212
Affiliations:
- France, Italie
- Latium, Midi-Pyrénées
- Rome, Toulouse
- Université Toulouse III - Paul Sabatier, Université de Toulouse
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Foundation Santa Lucia, Rome</wicri:regionArea><placeName><settlement type="city">Rome</settlement><region nuts="2">Latium</region></placeName></affiliation></author></analytic><monogr></monogr><series><title level="j">Brain</title><idno type="ISSN">0006-8950</idno><idno type="eISSN">1460-2156</idno><imprint><publisher>Oxford University Press</publisher><date type="published" when="2010-11">2010-11</date><biblScope unit="volume">133</biblScope><biblScope unit="issue">11</biblScope><biblScope unit="page" from="3423">3423</biblScope><biblScope unit="page" to="3433">3433</biblScope></imprint><idno type="ISSN">0006-8950</idno></series><idno type="istex">E65855DBDDC436C3433EAECE51000AC6182CDE76</idno><idno type="DOI">10.1093/brain/awq212</idno><idno type="ArticleID">awq212</idno></biblStruct></sourceDesc><seriesStmt><idno type="ISSN">0006-8950</idno></seriesStmt></fileDesc><profileDesc><textClass></textClass><langUsage><language ident="en">en</language></langUsage></profileDesc></teiHeader><front><div type="abstract">One objective of modern neuroimaging is to identify markers that can aid in diagnosis, disease progression monitoring and long-term drug impact analysis. In this study, Parkinson-associated physiopathological modifications were characterized in six subcortical structures by simultaneously measuring quantitative magnetic resonance parameters sensitive to complementary tissue characteristics (i.e. volume atrophy, iron deposition and microstructural damage). Thirty patients with Parkinsons disease and 22 control subjects underwent 3-T magnetic resonance imaging with T2-weighted, whole-brain T1-weighted and diffusion tensor imaging scans. The mean R2 value, mean diffusivity and fractional anisotropy in the pallidum, putamen, caudate nucleus, thalamus, substantia nigra and red nucleus were compared between patients with Parkinsons disease and control subjects. Comparisons were also performed using voxel-based analysis of R2, mean diffusivity and fractional anisotropy maps to determine which subregion of the basal ganglia showed the greater difference for each parameter. Averages of each subregion were then used in a logistic regression analysis. Compared with control subjects, patients with Parkinsons disease displayed significantly higher R2 values in the substantia nigra, lower fractional anisotropy values in the substantia nigra and thalamus, and higher mean diffusivity values in the thalamus. Voxel-based analyses confirmed these results and, in addition, showed a significant difference in the mean diffusivity in the striatum. The combination of three markers was sufficient to obtain a 95 global accuracy (area under the receiver operating characteristic curve) for discriminating patients with Parkinsons disease from controls. The markers comprising discriminating combinations were R2 in the substantia nigra, fractional anisotropy in the substantia nigra and mean diffusivity in the putamen or caudate nucleus. Remarkably, the predictive markers involved the nigrostriatal structures that characterize Parkinsons physiopathology. Furthermore, highly discriminating combinations included markers from three different magnetic resonance parameters (R2, mean diffusivity and fractional anisotropy). These findings demonstrate that multimodal magnetic resonance imaging of subcortical grey matter structures is useful for the evaluation of Parkinsons disease and, possibly, of other subcortical pathologies.</div></front></TEI><affiliations><list><country><li>France</li><li>Italie</li></country><region><li>Latium</li><li>Midi-Pyrénées</li></region><settlement><li>Rome</li><li>Toulouse</li></settlement><orgName><li>Université Toulouse III - Paul Sabatier</li><li>Université de Toulouse</li></orgName></list><tree><country name="Italie"><region name="Latium"><name sortKey="Pran, Patrice" sort="Pran, Patrice" uniqKey="Pran P" first="Patrice" last="Pran">Patrice Pran</name></region><name sortKey="Assogna, Francesca" sort="Assogna, Francesca" uniqKey="Assogna F" first="Francesca" last="Assogna">Francesca Assogna</name><name sortKey="Caltagirone, Carlo" sort="Caltagirone, Carlo" uniqKey="Caltagirone C" first="Carlo" last="Caltagirone">Carlo Caltagirone</name><name sortKey="Cherubini, Andrea" sort="Cherubini, Andrea" uniqKey="Cherubini A" first="Andrea" last="Cherubini">Andrea Cherubini</name><name sortKey="Peppe, Antonella" sort="Peppe, Antonella" uniqKey="Peppe A" first="Antonella" last="Peppe">Antonella Peppe</name><name sortKey="Pierantozzi, Mariangela" sort="Pierantozzi, Mariangela" uniqKey="Pierantozzi M" first="Mariangela" last="Pierantozzi">Mariangela Pierantozzi</name><name sortKey="Piras, Fabrizio" sort="Piras, Fabrizio" uniqKey="Piras F" first="Fabrizio" last="Piras">Fabrizio Piras</name><name sortKey="Pontieri, Francesco Ernesto" sort="Pontieri, Francesco Ernesto" uniqKey="Pontieri F" first="Francesco Ernesto" last="Pontieri">Francesco Ernesto Pontieri</name><name sortKey="Pran, Patrice" sort="Pran, Patrice" uniqKey="Pran P" first="Patrice" last="Pran">Patrice Pran</name><name sortKey="Quattrocchi, Carlo" sort="Quattrocchi, Carlo" uniqKey="Quattrocchi C" first="Carlo" last="Quattrocchi">Carlo Quattrocchi</name><name sortKey="Sabatini, Umberto" sort="Sabatini, Umberto" uniqKey="Sabatini U" first="Umberto" last="Sabatini">Umberto Sabatini</name><name sortKey="Spalletta, Gianfranco" sort="Spalletta, Gianfranco" uniqKey="Spalletta G" first="Gianfranco" last="Spalletta">Gianfranco Spalletta</name><name sortKey="Stefani, Alessandro" sort="Stefani, Alessandro" uniqKey="Stefani A" first="Alessandro" last="Stefani">Alessandro Stefani</name></country><country name="France"><noRegion><name sortKey="Pran, Patrice" sort="Pran, Patrice" uniqKey="Pran P" first="Patrice" last="Pran">Patrice Pran</name></noRegion><name sortKey="Celsis, Pierre" sort="Celsis, Pierre" uniqKey="Celsis P" first="Pierre" last="Celsis">Pierre Celsis</name><name sortKey="Dmonet, Jean Franois" sort="Dmonet, Jean Franois" uniqKey="Dmonet J" first="Jean-Franois" last="Dmonet">Jean-Franois Dmonet</name><name sortKey="Rascol, Olivier" sort="Rascol, Olivier" uniqKey="Rascol O" first="Olivier" last="Rascol">Olivier Rascol</name><name sortKey="Rascol, Olivier" sort="Rascol, Olivier" uniqKey="Rascol O" first="Olivier" last="Rascol">Olivier Rascol</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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