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Multimodal brain and retinal imaging of dopaminergic degeneration in Parkinson disease.
- Source :
-
Nature reviews. Neurology [Nat Rev Neurol] 2022 Apr; Vol. 18 (4), pp. 203-220. Date of Electronic Publication: 2022 Feb 17. - Publication Year :
- 2022
-
Abstract
- Parkinson disease (PD) is a progressive disorder characterized by dopaminergic neurodegeneration in the brain. The development of parkinsonism is preceded by a long prodromal phase, and >50% of dopaminergic neurons can be lost from the substantia nigra by the time of the initial diagnosis. Therefore, validation of in vivo imaging biomarkers for early diagnosis and monitoring of disease progression is essential for future therapeutic developments. PET and single-photon emission CT targeting the presynaptic terminals of dopaminergic neurons can be used for early diagnosis by detecting axonal degeneration in the striatum. However, these techniques poorly differentiate atypical parkinsonian syndromes from PD, and their availability is limited in clinical settings. Advanced MRI in which pathological changes in the substantia nigra are visualized with diffusion, iron-sensitive susceptibility and neuromelanin-sensitive sequences potentially represents a more accessible imaging tool. Although these techniques can visualize the classic degenerative changes in PD, they might be insufficient for phenotyping or prognostication of heterogeneous aspects of PD resulting from extranigral pathologies. The retina is an emerging imaging target owing to its pathological involvement early in PD, which correlates with brain pathology. Retinal optical coherence tomography (OCT) is a non-invasive technique to visualize structural changes in the retina. Progressive parafoveal thinning and fovea avascular zone remodelling, as revealed by OCT, provide potential biomarkers for early diagnosis and prognostication in PD. As we discuss in this Review, multimodal imaging of the substantia nigra and retina is a promising tool to aid diagnosis and management of PD.<br /> (© 2022. Springer Nature Limited.)
Details
- Language :
- English
- ISSN :
- 1759-4766
- Volume :
- 18
- Issue :
- 4
- Database :
- MEDLINE
- Journal :
- Nature reviews. Neurology
- Publication Type :
- Academic Journal
- Accession number :
- 35177849
- Full Text :
- https://doi.org/10.1038/s41582-022-00618-9