Simulating the progression of brain structural alterations in Parkinson’s disease

Abstract Considering brain structural alterations as neurodegenerative consequences of Parkinson's disease (PD), we sought to infer the progression of PD via the ordering of brain structural alterations from cross-sectional MRI observations. Having measured cortical thinning in gray matter (GM)...

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Main Authors: Chang-hyun Park, Na-Young Shin, Sang-Won Yoo, Haeseok Seo, Uicheul Yoon, Ji-Yeon Yoo, Kookjin Ahn, Joong-Seok Kim
Format: Article
Language:English
Published: Nature Portfolio 2022-06-01
Series:npj Parkinson's Disease
Online Access:https://doi.org/10.1038/s41531-022-00349-0
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author Chang-hyun Park
Na-Young Shin
Sang-Won Yoo
Haeseok Seo
Uicheul Yoon
Ji-Yeon Yoo
Kookjin Ahn
Joong-Seok Kim
author_facet Chang-hyun Park
Na-Young Shin
Sang-Won Yoo
Haeseok Seo
Uicheul Yoon
Ji-Yeon Yoo
Kookjin Ahn
Joong-Seok Kim
author_sort Chang-hyun Park
collection DOAJ
description Abstract Considering brain structural alterations as neurodegenerative consequences of Parkinson's disease (PD), we sought to infer the progression of PD via the ordering of brain structural alterations from cross-sectional MRI observations. Having measured cortical thinning in gray matter (GM) regions and disintegrity in white matter (WM) regions as MRI markers of structural alterations for 130 patients with PD (69 ± 10 years, 72 men), stochastic simulation based on the probabilistic relationship between the brain regions was conducted to infer the ordering of structural alterations across all brain regions and the staging of structural alterations according to changes in clinical status. The ordering of structural alterations represented WM disintegrity tending to occur earlier than cortical thinning. The staging of structural alterations indicated structural alterations happening mostly before major disease complications such as postural instability and dementia. Later disease states predicted by the sequence of structural alterations were significantly related to more severe clinical symptoms. The relevance of the ordering of brain structural alterations to the severity of clinical symptoms suggests the clinical feasibility of predicting PD progression states.
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spelling doaj.art-0ff4996ec5be4b8789bddcc9d55a66972023-11-02T09:24:23ZengNature Portfolionpj Parkinson's Disease2373-80572022-06-01811810.1038/s41531-022-00349-0Simulating the progression of brain structural alterations in Parkinson’s diseaseChang-hyun Park0Na-Young Shin1Sang-Won Yoo2Haeseok Seo3Uicheul Yoon4Ji-Yeon Yoo5Kookjin Ahn6Joong-Seok Kim7Department of Radiology, College of Medicine, Catholic University of KoreaDepartment of Radiology, College of Medicine, Catholic University of KoreaDepartment of Neurology, College of Medicine, Catholic University of KoreaDepartment of Biomedical Engineering, College of Bio and Medical Sciences, Daegu Catholic UniversityDepartment of Biomedical Engineering, College of Bio and Medical Sciences, Daegu Catholic UniversityDepartment of Neurology, College of Medicine, Catholic University of KoreaDepartment of Radiology, College of Medicine, Catholic University of KoreaDepartment of Neurology, College of Medicine, Catholic University of KoreaAbstract Considering brain structural alterations as neurodegenerative consequences of Parkinson's disease (PD), we sought to infer the progression of PD via the ordering of brain structural alterations from cross-sectional MRI observations. Having measured cortical thinning in gray matter (GM) regions and disintegrity in white matter (WM) regions as MRI markers of structural alterations for 130 patients with PD (69 ± 10 years, 72 men), stochastic simulation based on the probabilistic relationship between the brain regions was conducted to infer the ordering of structural alterations across all brain regions and the staging of structural alterations according to changes in clinical status. The ordering of structural alterations represented WM disintegrity tending to occur earlier than cortical thinning. The staging of structural alterations indicated structural alterations happening mostly before major disease complications such as postural instability and dementia. Later disease states predicted by the sequence of structural alterations were significantly related to more severe clinical symptoms. The relevance of the ordering of brain structural alterations to the severity of clinical symptoms suggests the clinical feasibility of predicting PD progression states.https://doi.org/10.1038/s41531-022-00349-0
spellingShingle Chang-hyun Park
Na-Young Shin
Sang-Won Yoo
Haeseok Seo
Uicheul Yoon
Ji-Yeon Yoo
Kookjin Ahn
Joong-Seok Kim
Simulating the progression of brain structural alterations in Parkinson’s disease
npj Parkinson's Disease
title Simulating the progression of brain structural alterations in Parkinson’s disease
title_full Simulating the progression of brain structural alterations in Parkinson’s disease
title_fullStr Simulating the progression of brain structural alterations in Parkinson’s disease
title_full_unstemmed Simulating the progression of brain structural alterations in Parkinson’s disease
title_short Simulating the progression of brain structural alterations in Parkinson’s disease
title_sort simulating the progression of brain structural alterations in parkinson s disease
url https://doi.org/10.1038/s41531-022-00349-0
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