Magnetic Resonance Imaging Markers for Cognitive Impairment in Parkinson's Disease: Current View

被引:11
作者
Hou, Yanbing [1 ]
Shang, Huifang [1 ]
机构
[1] Sichuan Univ, West China Hosp, Lab Neurodegenerat Disorders, Dept Neurol,Rare Dis Ctr,Natl Clin Res Ctr Geriat, Chengdu, Peoples R China
关键词
Parkinson's disease; magnetic resonance imaging; biomarker; mild cognitive impairment; dementia; WHITE-MATTER ALTERATION; FUNCTIONAL CONNECTIVITY; BRAIN ATROPHY; HIPPOCAMPAL SUBFIELDS; SUBCORTICAL ATROPHY; DIAGNOSTIC-CRITERIA; ALZHEIMERS-DISEASE; VOLUMETRIC CHANGES; MOVEMENT-DISORDER; DECLINE;
D O I
10.3389/fnagi.2022.788846
中图分类号
R592 [老年病学]; C [社会科学总论];
学科分类号
03 ; 0303 ; 100203 ;
摘要
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.
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页数:11
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