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Regional High Iron in the Substantia Nigra Differentiates Parkinson’s Disease Patients From Healthy Controls

Background: Iron is important in the pathophysiology of Parkinson’s disease (PD) specifically related to degeneration of the substantia nigra (SN). Magnetic resonance imaging (MRI) can be used to measure brain iron in the entire structure but this approach is insensitive to regional changes in iron...

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Autores principales: Ghassaban, Kiarash, He, Naying, Sethi, Sean Kumar, Huang, Pei, Chen, Shengdi, Yan, Fuhua, Haacke, Ewart Mark
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6546029/
https://www.ncbi.nlm.nih.gov/pubmed/31191294
http://dx.doi.org/10.3389/fnagi.2019.00106
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author Ghassaban, Kiarash
He, Naying
Sethi, Sean Kumar
Huang, Pei
Chen, Shengdi
Yan, Fuhua
Haacke, Ewart Mark
author_facet Ghassaban, Kiarash
He, Naying
Sethi, Sean Kumar
Huang, Pei
Chen, Shengdi
Yan, Fuhua
Haacke, Ewart Mark
author_sort Ghassaban, Kiarash
collection PubMed
description Background: Iron is important in the pathophysiology of Parkinson’s disease (PD) specifically related to degeneration of the substantia nigra (SN). Magnetic resonance imaging (MRI) can be used to measure brain iron in the entire structure but this approach is insensitive to regional changes in iron content. Objective: The goal of this work was to use quantitative susceptibility mapping (QSM) and R2(∗) to quantify both global and regional brain iron in PD patients and healthy controls (HC) to ascertain if regional changes correlate with clinical conditions and can be used to discriminate patients from controls. Methods: Susceptibility and R2(∗) maps of 25 PD and 24 HC subjects were reconstructed from data collected on a 3T GE scanner. For the susceptibility maps, three-dimensional regions-of-interest (ROIs) were traced on eight deep gray matter (DGM) structures and an age-based threshold was applied to define regions of high iron content. The same multi-slice ROIs were duplicated on the R2(∗) maps as well. Mean susceptibility values of both global and regional high iron (RII) content along with global R2(∗) values were measured and compared not only between the two cohorts, but also to susceptibility and R2(∗) baselines as a function of age. Finally, clinical features were compared for those PD patients lying above and below the upper 95% regional susceptibility-age prediction intervals. Results: The SN was the only structure showing significantly higher susceptibility in PD patients compared to controls globally (p < 0.01) and regionally (p < 0.001). The R2(∗) values were also higher only in the SN of PD patients compared to the healthy cohort (p < 0.05). Furthermore, those patients with abnormal susceptibility values lying above the upper 95% prediction intervals had significantly higher united Parkinson’s diagnostic rating scores. R2(∗) values had larger errors and showed larger dispersion as a function of age than QSM data for global analysis while the dispersion was significantly less for QSM using the RII iron content. Conclusion: Abnormal iron deposition in the SN, especially in RII areas, could serve as a biomarker to distinguish PD patients from HC and to assess disease severity.
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spelling pubmed-65460292019-06-12 Regional High Iron in the Substantia Nigra Differentiates Parkinson’s Disease Patients From Healthy Controls Ghassaban, Kiarash He, Naying Sethi, Sean Kumar Huang, Pei Chen, Shengdi Yan, Fuhua Haacke, Ewart Mark Front Aging Neurosci Neuroscience Background: Iron is important in the pathophysiology of Parkinson’s disease (PD) specifically related to degeneration of the substantia nigra (SN). Magnetic resonance imaging (MRI) can be used to measure brain iron in the entire structure but this approach is insensitive to regional changes in iron content. Objective: The goal of this work was to use quantitative susceptibility mapping (QSM) and R2(∗) to quantify both global and regional brain iron in PD patients and healthy controls (HC) to ascertain if regional changes correlate with clinical conditions and can be used to discriminate patients from controls. Methods: Susceptibility and R2(∗) maps of 25 PD and 24 HC subjects were reconstructed from data collected on a 3T GE scanner. For the susceptibility maps, three-dimensional regions-of-interest (ROIs) were traced on eight deep gray matter (DGM) structures and an age-based threshold was applied to define regions of high iron content. The same multi-slice ROIs were duplicated on the R2(∗) maps as well. Mean susceptibility values of both global and regional high iron (RII) content along with global R2(∗) values were measured and compared not only between the two cohorts, but also to susceptibility and R2(∗) baselines as a function of age. Finally, clinical features were compared for those PD patients lying above and below the upper 95% regional susceptibility-age prediction intervals. Results: The SN was the only structure showing significantly higher susceptibility in PD patients compared to controls globally (p < 0.01) and regionally (p < 0.001). The R2(∗) values were also higher only in the SN of PD patients compared to the healthy cohort (p < 0.05). Furthermore, those patients with abnormal susceptibility values lying above the upper 95% prediction intervals had significantly higher united Parkinson’s diagnostic rating scores. R2(∗) values had larger errors and showed larger dispersion as a function of age than QSM data for global analysis while the dispersion was significantly less for QSM using the RII iron content. Conclusion: Abnormal iron deposition in the SN, especially in RII areas, could serve as a biomarker to distinguish PD patients from HC and to assess disease severity. Frontiers Media S.A. 2019-05-27 /pmc/articles/PMC6546029/ /pubmed/31191294 http://dx.doi.org/10.3389/fnagi.2019.00106 Text en Copyright © 2019 Ghassaban, He, Sethi, Huang, Chen, Yan and Haacke. 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) and the copyright owner(s) 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
Ghassaban, Kiarash
He, Naying
Sethi, Sean Kumar
Huang, Pei
Chen, Shengdi
Yan, Fuhua
Haacke, Ewart Mark
Regional High Iron in the Substantia Nigra Differentiates Parkinson’s Disease Patients From Healthy Controls
title Regional High Iron in the Substantia Nigra Differentiates Parkinson’s Disease Patients From Healthy Controls
title_full Regional High Iron in the Substantia Nigra Differentiates Parkinson’s Disease Patients From Healthy Controls
title_fullStr Regional High Iron in the Substantia Nigra Differentiates Parkinson’s Disease Patients From Healthy Controls
title_full_unstemmed Regional High Iron in the Substantia Nigra Differentiates Parkinson’s Disease Patients From Healthy Controls
title_short Regional High Iron in the Substantia Nigra Differentiates Parkinson’s Disease Patients From Healthy Controls
title_sort regional high iron in the substantia nigra differentiates parkinson’s disease patients from healthy controls
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6546029/
https://www.ncbi.nlm.nih.gov/pubmed/31191294
http://dx.doi.org/10.3389/fnagi.2019.00106
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