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Recent advances in using diffusion tensor imaging to study white matter alterations in Parkinson’s disease: A mini review
Parkinson’s disease (PD) is the second most common age-related neurodegenerative disease with cardinal motor symptoms. In addition to motor symptoms, PD is a heterogeneous disease accompanied by many non-motor symptoms that dominate the clinical manifestations in different stages or subtypes of PD,...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9992993/ https://www.ncbi.nlm.nih.gov/pubmed/36910861 http://dx.doi.org/10.3389/fnagi.2022.1018017 |
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author | Shih, Yao-Chia Tseng, Wen-Yih Isaac Montaser-Kouhsari, Leila |
author_facet | Shih, Yao-Chia Tseng, Wen-Yih Isaac Montaser-Kouhsari, Leila |
author_sort | Shih, Yao-Chia |
collection | PubMed |
description | Parkinson’s disease (PD) is the second most common age-related neurodegenerative disease with cardinal motor symptoms. In addition to motor symptoms, PD is a heterogeneous disease accompanied by many non-motor symptoms that dominate the clinical manifestations in different stages or subtypes of PD, such as cognitive impairments. The heterogeneity of PD suggests widespread brain structural changes, and axonal involvement appears to be critical to the pathophysiology of PD. As α-synuclein pathology has been suggested to cause axonal changes followed by neuronal degeneration, diffusion tensor imaging (DTI) as an in vivo imaging technique emerges to characterize early detectable white matter changes due to PD. Here, we reviewed the past 5-year literature to show how DTI has helped identify axonal abnormalities at different PD stages or in different PD subtypes and atypical parkinsonism. We also showed the recent clinical utilities of DTI tractography in interventional treatments such as deep brain stimulation (DBS). Mounting evidence supported by multisite DTI data suggests that DTI along with the advanced analytic methods, can delineate dynamic pathophysiological processes from the early to late PD stages and differentiate distinct structural networks affected in PD and other parkinsonism syndromes. It indicates that DTI, along with recent advanced analytic methods, can assist future interventional studies in optimizing treatments for PD patients with different clinical conditions and risk profiles. |
format | Online Article Text |
id | pubmed-9992993 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-99929932023-03-09 Recent advances in using diffusion tensor imaging to study white matter alterations in Parkinson’s disease: A mini review Shih, Yao-Chia Tseng, Wen-Yih Isaac Montaser-Kouhsari, Leila Front Aging Neurosci Aging Neuroscience Parkinson’s disease (PD) is the second most common age-related neurodegenerative disease with cardinal motor symptoms. In addition to motor symptoms, PD is a heterogeneous disease accompanied by many non-motor symptoms that dominate the clinical manifestations in different stages or subtypes of PD, such as cognitive impairments. The heterogeneity of PD suggests widespread brain structural changes, and axonal involvement appears to be critical to the pathophysiology of PD. As α-synuclein pathology has been suggested to cause axonal changes followed by neuronal degeneration, diffusion tensor imaging (DTI) as an in vivo imaging technique emerges to characterize early detectable white matter changes due to PD. Here, we reviewed the past 5-year literature to show how DTI has helped identify axonal abnormalities at different PD stages or in different PD subtypes and atypical parkinsonism. We also showed the recent clinical utilities of DTI tractography in interventional treatments such as deep brain stimulation (DBS). Mounting evidence supported by multisite DTI data suggests that DTI along with the advanced analytic methods, can delineate dynamic pathophysiological processes from the early to late PD stages and differentiate distinct structural networks affected in PD and other parkinsonism syndromes. It indicates that DTI, along with recent advanced analytic methods, can assist future interventional studies in optimizing treatments for PD patients with different clinical conditions and risk profiles. Frontiers Media S.A. 2023-02-22 /pmc/articles/PMC9992993/ /pubmed/36910861 http://dx.doi.org/10.3389/fnagi.2022.1018017 Text en Copyright © 2023 Shih, Tseng and Montaser-Kouhsari. https://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 | Aging Neuroscience Shih, Yao-Chia Tseng, Wen-Yih Isaac Montaser-Kouhsari, Leila Recent advances in using diffusion tensor imaging to study white matter alterations in Parkinson’s disease: A mini review |
title | Recent advances in using diffusion tensor imaging to study white matter alterations in Parkinson’s disease: A mini review |
title_full | Recent advances in using diffusion tensor imaging to study white matter alterations in Parkinson’s disease: A mini review |
title_fullStr | Recent advances in using diffusion tensor imaging to study white matter alterations in Parkinson’s disease: A mini review |
title_full_unstemmed | Recent advances in using diffusion tensor imaging to study white matter alterations in Parkinson’s disease: A mini review |
title_short | Recent advances in using diffusion tensor imaging to study white matter alterations in Parkinson’s disease: A mini review |
title_sort | recent advances in using diffusion tensor imaging to study white matter alterations in parkinson’s disease: a mini review |
topic | Aging Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9992993/ https://www.ncbi.nlm.nih.gov/pubmed/36910861 http://dx.doi.org/10.3389/fnagi.2022.1018017 |
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