Magnetic resonance imaging markers of Parkinson's disease nigrostriatal signature.

Détails

ID Serval
serval:BIB_24D6961472FE
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Titre
Magnetic resonance imaging markers of Parkinson's disease nigrostriatal signature.
Périodique
Brain
Auteur(s)
Péran P., Cherubini A., Assogna F., Piras F., Quattrocchi C., Peppe A., Celsis P., Rascol O., Démonet J.F., Stefani A., Pierantozzi M., Pontieri F.E., Caltagirone C., Spalletta G., Sabatini U.
ISSN
1460-2156 (Electronic)
ISSN-L
0006-8950
Statut éditorial
Publié
Date de publication
2010
Peer-reviewed
Oui
Volume
133
Numéro
11
Pages
3423-3433
Langue
anglais
Notes
Publication types: Comparative Study ; Journal Article ; Research Support, Non-U.S. Gov'tPublication Status: ppublish
Résumé
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 Parkinson's 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 Parkinson's 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 Parkinson's 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 Parkinson's 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 Parkinson's 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 Parkinson's disease and, possibly, of other subcortical pathologies.
Mots-clé
Aged, Biological Markers, Corpus Striatum/pathology, Female, Humans, Magnetic Resonance Imaging/methods, Male, Middle Aged, Parkinson Disease/pathology, Parkinson Disease/physiopathology, Substantia Nigra/pathology
Pubmed
Web of science
Création de la notice
24/03/2013 20:27
Dernière modification de la notice
20/08/2019 14:03
Données d'usage