Automated Assessment of the Substantia Nigra Pars Compacta in Parkinson’s Disease: A Diffusion Tensor Imaging Study

The substantia nigra (SN) pars compacta (SNpc) and pars reticulata (SNpr) are differentially affected in Parkinson’s disease (PD). Separating the SNpc and SNpr is challenging with standard magnetic resonance imaging (MRI). Diffusion tensor imaging (DTI) allows for the characterization of SN microstr...

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Autores principales:	Niels Bergsland, Laura Pelizzari, Maria Marcella Laganá, Sonia Di Tella, Federica Rossetto, Raffaello Nemni, Mario Clerici, Francesca Baglio
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	Parkinson’s disease MRI substantia nigra diffusion tensor imaging Medicine R
Acceso en línea:	https://doaj.org/article/f71808091c0647589ebd7573151be999
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spelling	oai:doaj.org-article:f71808091c0647589ebd7573151be9992021-11-25T18:08:14ZAutomated Assessment of the Substantia Nigra Pars Compacta in Parkinson’s Disease: A Diffusion Tensor Imaging Study10.3390/jpm111112352075-4426https://doaj.org/article/f71808091c0647589ebd7573151be9992021-11-01T00:00:00Zhttps://www.mdpi.com/2075-4426/11/11/1235https://doaj.org/toc/2075-4426The substantia nigra (SN) pars compacta (SNpc) and pars reticulata (SNpr) are differentially affected in Parkinson’s disease (PD). Separating the SNpc and SNpr is challenging with standard magnetic resonance imaging (MRI). Diffusion tensor imaging (DTI) allows for the characterization of SN microstructure in a non-invasive manner. In this study, 29 PD patients and 28 healthy controls (HCs) were imaged with 1.5T MRI for DTI. Images were nonlinearly registered to standard space and SNpc and SNpr DTI parameters were measured. ANCOVA and receiver operator characteristic (ROC) analyses were performed. Clinical associations were assessed with Spearman correlations. Multiple corrections were controlled for false discovery rate. PD patients presented with significantly increased SNpc axial diffusivity (AD) (1.207 ± 0.068 versus 1.156 ± 0.045, <i>p</i> = 0.024), with ROC analysis yielding an under the curve of 0.736. Trends with Unified Parkinson’s Disease Rating Scale (UPDRS) III scores were identified for SNpc MD (rs = 0.449), AD (rs = 0.388), and radial diffusivity (rs = 0.391) (all <i>p</i> < 0.1). A trend between baseline SNpr MD and H&Y change (rs = 0.563, <i>p</i> = 0.081) over 2.9 years of follow-up was identified (<i>n</i> = 14). In conclusion, SN microstructure shows robust, clinically meaningful associations in PD.Niels BergslandLaura PelizzariMaria Marcella LaganáSonia Di TellaFederica RossettoRaffaello NemniMario ClericiFrancesca BaglioMDPI AGarticleParkinson’s diseaseMRIsubstantia nigradiffusion tensor imagingMedicineRENJournal of Personalized Medicine, Vol 11, Iss 1235, p 1235 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Parkinson’s disease MRI substantia nigra diffusion tensor imaging Medicine R
spellingShingle	Parkinson’s disease MRI substantia nigra diffusion tensor imaging Medicine R Niels Bergsland Laura Pelizzari Maria Marcella Laganá Sonia Di Tella Federica Rossetto Raffaello Nemni Mario Clerici Francesca Baglio Automated Assessment of the Substantia Nigra Pars Compacta in Parkinson’s Disease: A Diffusion Tensor Imaging Study
description	The substantia nigra (SN) pars compacta (SNpc) and pars reticulata (SNpr) are differentially affected in Parkinson’s disease (PD). Separating the SNpc and SNpr is challenging with standard magnetic resonance imaging (MRI). Diffusion tensor imaging (DTI) allows for the characterization of SN microstructure in a non-invasive manner. In this study, 29 PD patients and 28 healthy controls (HCs) were imaged with 1.5T MRI for DTI. Images were nonlinearly registered to standard space and SNpc and SNpr DTI parameters were measured. ANCOVA and receiver operator characteristic (ROC) analyses were performed. Clinical associations were assessed with Spearman correlations. Multiple corrections were controlled for false discovery rate. PD patients presented with significantly increased SNpc axial diffusivity (AD) (1.207 ± 0.068 versus 1.156 ± 0.045, <i>p</i> = 0.024), with ROC analysis yielding an under the curve of 0.736. Trends with Unified Parkinson’s Disease Rating Scale (UPDRS) III scores were identified for SNpc MD (rs = 0.449), AD (rs = 0.388), and radial diffusivity (rs = 0.391) (all <i>p</i> < 0.1). A trend between baseline SNpr MD and H&Y change (rs = 0.563, <i>p</i> = 0.081) over 2.9 years of follow-up was identified (<i>n</i> = 14). In conclusion, SN microstructure shows robust, clinically meaningful associations in PD.
format	article
author	Niels Bergsland Laura Pelizzari Maria Marcella Laganá Sonia Di Tella Federica Rossetto Raffaello Nemni Mario Clerici Francesca Baglio
author_facet	Niels Bergsland Laura Pelizzari Maria Marcella Laganá Sonia Di Tella Federica Rossetto Raffaello Nemni Mario Clerici Francesca Baglio
author_sort	Niels Bergsland
title	Automated Assessment of the Substantia Nigra Pars Compacta in Parkinson’s Disease: A Diffusion Tensor Imaging Study
title_short	Automated Assessment of the Substantia Nigra Pars Compacta in Parkinson’s Disease: A Diffusion Tensor Imaging Study
title_full	Automated Assessment of the Substantia Nigra Pars Compacta in Parkinson’s Disease: A Diffusion Tensor Imaging Study
title_fullStr	Automated Assessment of the Substantia Nigra Pars Compacta in Parkinson’s Disease: A Diffusion Tensor Imaging Study
title_full_unstemmed	Automated Assessment of the Substantia Nigra Pars Compacta in Parkinson’s Disease: A Diffusion Tensor Imaging Study
title_sort	automated assessment of the substantia nigra pars compacta in parkinson’s disease: a diffusion tensor imaging study
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/f71808091c0647589ebd7573151be999
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Automated Assessment of the Substantia Nigra Pars Compacta in Parkinson’s Disease: A Diffusion Tensor Imaging Study

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