Magnetic resonance imaging markers of Parkinson's disease nigrostriatal signature
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 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.
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Imaging methods such as MRI and transcranial sonography were not able to substantiate the relation between total iron concentration and disease severity because of the absence of accurate quantification for iron content in different brain areas.
“Imaging methods, such as MRI and transcranial sonography, were not able to substantiate the relation between total iron concentration and disease severity because of the absence of accurate quantification for the iron content in different brain areas.104,105”
From The role of iron in brain ageing and neurodegenerative disorders (2014) · cites this paper as [104]
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- Authors
- 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.
- Affiliations
- Université Toulouse III - Paul Sabatier (FR)
- Fondazione Santa Lucia (IT)
- University of Rome Tor Vergata (IT)
- Sapienza University of Rome (IT)
- ORCID
- Venue
- Brain
- Publisher
- Oxford University Press (OUP)
- Published
- 2010-08-23
- Volume
- 133
- Issue
- 11
- Pages
- 3423-3433
- ISSN
- 0006-8950 (ISSN-L)
- 1460-2156
- OpenAlex
- W2133955737
- Cited by
- 399
- References
- 60
- Citations by year
- 2026: 2 · 2025: 10 · 2024: 15 · 2023: 14 · 2022: 18 · 2021: 26 · 2020: 26 · 2019: 29 · 2018: 30 · 2017: 37 · 2016: 35 · 2015: 37 · 2014: 26 · 2013: 42 · 2012: 30
- FWCI
- 17.53
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Brain (publishedVersion)
- PubMed (publishedVersion)
- HAL (submittedVersion)
- Cineca Institutional Research Information System (Tor Vergata University) (submittedVersion)
- IRIS Research product catalog (Sapienza University of Rome) (submittedVersion)
- Institutional Research Information System (Università degli Studi di Trento) (submittedVersion)
- Funders
- Institut National de la Santé et de la Recherche Médicale
- Ministero della Salute
- Direction de l’hospitalisation et de l’offre de Soins
- Topics
- Health Sciences › Medicine › Neurology › Parkinson's Disease Mechanisms and Treatments
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
- Health Sciences › Medicine › Neurology › Neurological disorders and treatments
- Keywords
- Parkinson's disease, nigrostriatal pathway, R2* mapping, iron accumulation, diffusion tensor imaging, fractional anisotropy, mean diffusivity, substantia nigra, putamen, caudate nucleus, thalamus, red nucleus, globus pallidus, basal ganglia, subcortical gray matter, diagnostic biomarkers, voxel-based analysis
- MeSH terms
- Aged, Corpus Striatum, Female, Humans, Magnetic Resonance Imaging, Male, Middle Aged, Parkinson Disease, Substantia Nigra, Biomarkers
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