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T2-Imaging Changes in the Nigrosome-1 Relate to Clinical Measures of Parkinson’s Disease

BACKGROUND: The nigrosome-1 region of the substantia nigra (SN) undergoes the greatest and earliest dopaminergic neuron loss in Parkinson’s disease (PD). As T2-weighted magnetic resonance imaging (MRI) scans are often collected with routine clinical MRI protocols, this investigation aims to determin...

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Autores principales: Fu, Katherine A., Nathan, Romil, Dinov, Ivo D., Li, Junning, Toga, Arthur W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5071353/
https://www.ncbi.nlm.nih.gov/pubmed/27812347
http://dx.doi.org/10.3389/fneur.2016.00174
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author Fu, Katherine A.
Nathan, Romil
Dinov, Ivo D.
Li, Junning
Toga, Arthur W.
author_facet Fu, Katherine A.
Nathan, Romil
Dinov, Ivo D.
Li, Junning
Toga, Arthur W.
author_sort Fu, Katherine A.
collection PubMed
description BACKGROUND: The nigrosome-1 region of the substantia nigra (SN) undergoes the greatest and earliest dopaminergic neuron loss in Parkinson’s disease (PD). As T2-weighted magnetic resonance imaging (MRI) scans are often collected with routine clinical MRI protocols, this investigation aims to determine whether T2-imaging changes in the nigrosome-1 are related to clinical measures of PD and to assess their potential as a more clinically accessible biomarker for PD. METHODS: Voxel intensity ratios were calculated for T2-weighted MRI scans from 47 subjects from the Parkinson’s Progression Markers Initiative database. Three approaches were used to delineate the SN and nigrosome-1: (1) manual segmentation, (2) automated segmentation, and (3) area voxel-based morphometry. Voxel intensity ratios were calculated from voxel intensity values taken from the nigrosome-1 and two areas of the remaining SN. Linear regression analyses were conducted relating voxel intensity ratios with the Movement Disorder Society-Unified Parkinson’s Disease Rating Scale (MDS-UPDRS) sub-scores for each subject. RESULTS: For manual segmentation, linear regression tests consistently identified the voxel intensity ratio derived from the dorsolateral SN and nigrosome-1 (IR2) as predictive of nBehav (p = 0.0377) and nExp (p = 0.03856). For automated segmentation, linear regression tests identified IR2 as predictive of Subscore IA (nBehav) (p = 0.01134), Subscore IB (nExp) (p = 0.00336), Score II (mExp) (p = 0.02125), and Score III (mSign) (p = 0.008139). For the voxel-based morphometric approach, univariate simple linear regression analysis identified IR2 as yielding significant results for nBehav (p = 0.003102), mExp (p = 0.0172), and mSign (p = 0.00393). CONCLUSION: Neuroimaging biomarkers may be used as a proxy of changes in the nigrosome-1, measured by MDS-UPDRS scores as an indicator of the severity of PD. The voxel intensity ratio derived from the dorsolateral SN and nigrosome-1 was consistently predictive of non-motor complex behaviors in all three analyses and predictive of non-motor experiences of daily living, motor experiences of daily living, and motor signs of PD in two of the three analyses. These results suggest that T2 changes in the nigrosome-1 may relate to certain clinical measures of PD. T2 changes in the nigrosome-1 may be considered when developing a more accessible clinical diagnostic tool for patients with suspected PD.
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spelling pubmed-50713532016-11-03 T2-Imaging Changes in the Nigrosome-1 Relate to Clinical Measures of Parkinson’s Disease Fu, Katherine A. Nathan, Romil Dinov, Ivo D. Li, Junning Toga, Arthur W. Front Neurol Neuroscience BACKGROUND: The nigrosome-1 region of the substantia nigra (SN) undergoes the greatest and earliest dopaminergic neuron loss in Parkinson’s disease (PD). As T2-weighted magnetic resonance imaging (MRI) scans are often collected with routine clinical MRI protocols, this investigation aims to determine whether T2-imaging changes in the nigrosome-1 are related to clinical measures of PD and to assess their potential as a more clinically accessible biomarker for PD. METHODS: Voxel intensity ratios were calculated for T2-weighted MRI scans from 47 subjects from the Parkinson’s Progression Markers Initiative database. Three approaches were used to delineate the SN and nigrosome-1: (1) manual segmentation, (2) automated segmentation, and (3) area voxel-based morphometry. Voxel intensity ratios were calculated from voxel intensity values taken from the nigrosome-1 and two areas of the remaining SN. Linear regression analyses were conducted relating voxel intensity ratios with the Movement Disorder Society-Unified Parkinson’s Disease Rating Scale (MDS-UPDRS) sub-scores for each subject. RESULTS: For manual segmentation, linear regression tests consistently identified the voxel intensity ratio derived from the dorsolateral SN and nigrosome-1 (IR2) as predictive of nBehav (p = 0.0377) and nExp (p = 0.03856). For automated segmentation, linear regression tests identified IR2 as predictive of Subscore IA (nBehav) (p = 0.01134), Subscore IB (nExp) (p = 0.00336), Score II (mExp) (p = 0.02125), and Score III (mSign) (p = 0.008139). For the voxel-based morphometric approach, univariate simple linear regression analysis identified IR2 as yielding significant results for nBehav (p = 0.003102), mExp (p = 0.0172), and mSign (p = 0.00393). CONCLUSION: Neuroimaging biomarkers may be used as a proxy of changes in the nigrosome-1, measured by MDS-UPDRS scores as an indicator of the severity of PD. The voxel intensity ratio derived from the dorsolateral SN and nigrosome-1 was consistently predictive of non-motor complex behaviors in all three analyses and predictive of non-motor experiences of daily living, motor experiences of daily living, and motor signs of PD in two of the three analyses. These results suggest that T2 changes in the nigrosome-1 may relate to certain clinical measures of PD. T2 changes in the nigrosome-1 may be considered when developing a more accessible clinical diagnostic tool for patients with suspected PD. Frontiers Media S.A. 2016-10-20 /pmc/articles/PMC5071353/ /pubmed/27812347 http://dx.doi.org/10.3389/fneur.2016.00174 Text en Copyright © 2016 Fu, Nathan, Dinov, Li and Toga. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Fu, Katherine A.
Nathan, Romil
Dinov, Ivo D.
Li, Junning
Toga, Arthur W.
T2-Imaging Changes in the Nigrosome-1 Relate to Clinical Measures of Parkinson’s Disease
title T2-Imaging Changes in the Nigrosome-1 Relate to Clinical Measures of Parkinson’s Disease
title_full T2-Imaging Changes in the Nigrosome-1 Relate to Clinical Measures of Parkinson’s Disease
title_fullStr T2-Imaging Changes in the Nigrosome-1 Relate to Clinical Measures of Parkinson’s Disease
title_full_unstemmed T2-Imaging Changes in the Nigrosome-1 Relate to Clinical Measures of Parkinson’s Disease
title_short T2-Imaging Changes in the Nigrosome-1 Relate to Clinical Measures of Parkinson’s Disease
title_sort t2-imaging changes in the nigrosome-1 relate to clinical measures of parkinson’s disease
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5071353/
https://www.ncbi.nlm.nih.gov/pubmed/27812347
http://dx.doi.org/10.3389/fneur.2016.00174
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