Microstructural abnormalities of substantia nigra in Parkinson's disease: A neuromelanin sensitive MRI atlas based study.
Aged
Anisotropy
Antiparkinson Agents
/ therapeutic use
Atlases as Topic
Diffusion Tensor Imaging
/ methods
Female
Humans
Levodopa
/ therapeutic use
Male
Melanins
/ metabolism
Mental Status and Dementia Tests
Middle Aged
Parkinson Disease
/ diagnostic imaging
Substantia Nigra
/ diagnostic imaging
White Matter
/ diagnostic imaging
Neuromelanin
Parkinson's disease
atlas
diffusion tensor imaging
substantia Nigra
Journal
Human brain mapping
ISSN: 1097-0193
Titre abrégé: Hum Brain Mapp
Pays: United States
ID NLM: 9419065
Informations de publication
Date de publication:
01 04 2020
01 04 2020
Historique:
received:
14
03
2019
revised:
24
10
2019
accepted:
16
11
2019
pubmed:
30
11
2019
medline:
18
9
2021
entrez:
29
11
2019
Statut:
ppublish
Résumé
Microstructural changes associated with degeneration of dopaminergic neurons of the substantia nigra pars compacta (SNc) in Parkinson's disease (PD) have been studied using Diffusion Tensor Imaging (DTI). However, these studies show inconsistent results, mainly due to methodological variations in delineation of SNc. To mitigate this, our work aims to construct a probabilistic atlas of SNc based on a 3D Neuromelanin Sensitive MRI (NMS-MRI) sequence and demonstrate its applicability to investigate microstructural changes on a large dataset of PD. Using manual segmentation and deformable registration we created a novel SNc atlas in the MNI space using NMS-MRI sequences of 27 healthy controls (HC). We first quantitatively evaluated this atlas and then employed it to investigate the micro-structural abnormalities in SNc using diffusion MRI from 133 patients with PD and 99 HCs. Our results demonstrated significant increase in diffusivity with no changes in anisotropy. In addition, we also observed an asymmetry of the diffusion metrics with a higher diffusivity and lower anisotropy in the left SNc than the right. Finally, a multivariate classifier based on SNc diffusion features could delineate patients with PD with an average accuracy of 71.7%. Overall, from this work we establish a normative baseline for the SNc region of interest using NMS-MRI while the application on PD data emphasizes on the contribution of diffusivity measures rather than anisotropy of white matter in PD.
Identifiants
pubmed: 31778276
doi: 10.1002/hbm.24878
pmc: PMC7267920
doi:
Substances chimiques
Antiparkinson Agents
0
Melanins
0
neuromelanin
0
Levodopa
46627O600J
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
1323-1333Informations de copyright
© 2019 The Authors. Human Brain Mapping published by Wiley Periodicals, Inc.
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