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Magnetic Resonance Imaging Markers for Cognitive Impairment in Parkinson’s Disease: Current View
Cognitive impairment (CI) ranging from mild cognitive impairment (MCI) to dementia is a common and disturbing complication in patients with Parkinson’s disease (PD). Numerous studies have focused on neuropathological mechanisms underlying CI in PD, along with the identification of specific biomarker...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8821910/ https://www.ncbi.nlm.nih.gov/pubmed/35145396 http://dx.doi.org/10.3389/fnagi.2022.788846 |
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author | Hou, Yanbing Shang, Huifang |
author_facet | Hou, Yanbing Shang, Huifang |
author_sort | Hou, Yanbing |
collection | PubMed |
description | Cognitive impairment (CI) ranging from mild cognitive impairment (MCI) to dementia is a common and disturbing complication in patients with Parkinson’s disease (PD). Numerous studies have focused on neuropathological mechanisms underlying CI in PD, along with the identification of specific biomarkers for CI. Magnetic resonance imaging (MRI), a promising method, has been adopted to examine the changes in the brain and identify the candidate biomarkers associated with CI. In this review, we have summarized the potential biomarkers for CI in PD which have been identified through multi-modal MRI studies. Structural MRI technology is widely used in biomarker research. Specific patterns of gray matter atrophy are promising predictors of the evolution of CI in patients with PD. Moreover, other MRI techniques, such as MRI related to small-vessel disease, neuromelanin-sensitive MRI, quantitative susceptibility mapping, MR diffusion imaging, MRI related to cerebrovascular abnormality, resting-state functional MRI, and proton magnetic resonance spectroscopy, can provide imaging features with a good degree of prediction for CI. In the future, novel combined biomarkers should be developed using the recognized analysis tools and predictive algorithms in both cross-sectional and longitudinal studies. |
format | Online Article Text |
id | pubmed-8821910 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-88219102022-02-09 Magnetic Resonance Imaging Markers for Cognitive Impairment in Parkinson’s Disease: Current View Hou, Yanbing Shang, Huifang Front Aging Neurosci Aging Neuroscience Cognitive impairment (CI) ranging from mild cognitive impairment (MCI) to dementia is a common and disturbing complication in patients with Parkinson’s disease (PD). Numerous studies have focused on neuropathological mechanisms underlying CI in PD, along with the identification of specific biomarkers for CI. Magnetic resonance imaging (MRI), a promising method, has been adopted to examine the changes in the brain and identify the candidate biomarkers associated with CI. In this review, we have summarized the potential biomarkers for CI in PD which have been identified through multi-modal MRI studies. Structural MRI technology is widely used in biomarker research. Specific patterns of gray matter atrophy are promising predictors of the evolution of CI in patients with PD. Moreover, other MRI techniques, such as MRI related to small-vessel disease, neuromelanin-sensitive MRI, quantitative susceptibility mapping, MR diffusion imaging, MRI related to cerebrovascular abnormality, resting-state functional MRI, and proton magnetic resonance spectroscopy, can provide imaging features with a good degree of prediction for CI. In the future, novel combined biomarkers should be developed using the recognized analysis tools and predictive algorithms in both cross-sectional and longitudinal studies. Frontiers Media S.A. 2022-01-25 /pmc/articles/PMC8821910/ /pubmed/35145396 http://dx.doi.org/10.3389/fnagi.2022.788846 Text en Copyright © 2022 Hou and Shang. 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 Hou, Yanbing Shang, Huifang Magnetic Resonance Imaging Markers for Cognitive Impairment in Parkinson’s Disease: Current View |
title | Magnetic Resonance Imaging Markers for Cognitive Impairment in Parkinson’s Disease: Current View |
title_full | Magnetic Resonance Imaging Markers for Cognitive Impairment in Parkinson’s Disease: Current View |
title_fullStr | Magnetic Resonance Imaging Markers for Cognitive Impairment in Parkinson’s Disease: Current View |
title_full_unstemmed | Magnetic Resonance Imaging Markers for Cognitive Impairment in Parkinson’s Disease: Current View |
title_short | Magnetic Resonance Imaging Markers for Cognitive Impairment in Parkinson’s Disease: Current View |
title_sort | magnetic resonance imaging markers for cognitive impairment in parkinson’s disease: current view |
topic | Aging Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8821910/ https://www.ncbi.nlm.nih.gov/pubmed/35145396 http://dx.doi.org/10.3389/fnagi.2022.788846 |
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