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用于运动障碍早期诊断和监测的先进磁共振成像

Advanced Magnetic Resonance Imaging for Early Diagnosis and Monitoring of Movement Disorders.

作者信息

Ortega-Robles Emmanuel, de Celis Alonso Benito, Cantillo-Negrete Jessica, Carino-Escobar Ruben I, Arias-Carrión Oscar

机构信息

Unidad de Trastornos del Movimiento y Sueño, Hospital General Dr. Manuel Gea González, Calzada de Tlalpan 4800, Mexico City 14080, Mexico.

Facultad de Ciencias Físico Matemáticas, Benemérita Universidad Autónoma de Puebla, Puebla 72570, Mexico.

出版信息

Brain Sci. 2025 Jan 16;15(1):79. doi: 10.3390/brainsci15010079.


DOI:10.3390/brainsci15010079
PMID:39851446
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11763950/
Abstract

Advanced magnetic resonance imaging (MRI) techniques are transforming the study of movement disorders by providing valuable insights into disease mechanisms. This narrative review presents a comprehensive overview of their applications in this field, offering an updated perspective on their potential for early diagnosis, disease monitoring, and therapeutic evaluation. Emerging MRI modalities such as neuromelanin-sensitive imaging, diffusion-weighted imaging, magnetization transfer imaging, and relaxometry provide sensitive biomarkers that can detect early microstructural degeneration, iron deposition, and connectivity disruptions in key regions like the substantia nigra. These techniques enable earlier and more accurate differentiation of movement disorders, including Parkinson's disease, progressive supranuclear palsy, multiple system atrophy, corticobasal degeneration, Lewy body and frontotemporal dementia, Huntington's disease, and dystonia. Furthermore, MRI provides objective metrics for tracking disease progression and assessing therapeutic efficacy, making it an indispensable tool in clinical trials. Despite these advances, the absence of standardized protocols limits their integration into routine clinical practice. Addressing this gap and incorporating these techniques more systematically could bring the field closer to leveraging advanced MRI for personalized treatment strategies, ultimately improving outcomes for individuals with movement disorders.

摘要

先进的磁共振成像(MRI)技术正在改变运动障碍的研究,为疾病机制提供有价值的见解。这篇叙述性综述全面概述了它们在该领域的应用,提供了关于其在早期诊断、疾病监测和治疗评估方面潜力的最新观点。新兴的MRI模式,如神经黑色素敏感成像、扩散加权成像、磁化传递成像和弛豫测量,提供了敏感的生物标志物,可以检测黑质等关键区域的早期微观结构退化、铁沉积和连接中断。这些技术能够更早、更准确地区分运动障碍,包括帕金森病、进行性核上性麻痹、多系统萎缩、皮质基底节变性、路易体和额颞叶痴呆、亨廷顿病和肌张力障碍。此外,MRI为跟踪疾病进展和评估治疗效果提供了客观指标,使其成为临床试验中不可或缺的工具。尽管有这些进展,但缺乏标准化方案限制了它们融入常规临床实践。解决这一差距并更系统地纳入这些技术,可以使该领域更接近利用先进的MRI制定个性化治疗策略,最终改善运动障碍患者的治疗效果。

相似文献

[1]
Advanced Magnetic Resonance Imaging for Early Diagnosis and Monitoring of Movement Disorders.

Brain Sci. 2025-1-16

[2]
Neuroimaging Advances in Parkinson's Disease and Atypical Parkinsonian Syndromes.

Front Neurol. 2020-10-15

[3]
Imaging biomarkers in Parkinson's disease and Parkinsonian syndromes: current and emerging concepts.

Transl Neurodegener. 2017-3-28

[4]
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Brain. 2016-2

[5]
Magnetic resonance imaging of the substantia nigra in Parkinson's disease.

Mov Disord. 2012-5-30

[6]
Regional Selectivity of Neuromelanin Changes in the Substantia Nigra in Atypical Parkinsonism.

Mov Disord. 2022-6

[7]
Development and validation of the automated imaging differentiation in parkinsonism (AID-P): a multicentre machine learning study.

Lancet Digit Health. 2019-9

[8]
In vivo imaging of synaptic function in the central nervous system: I. Movement disorders and dementia.

Behav Brain Res. 2009-12-1

[9]
Parkinson's Disease Diagnostic Observations (PADDO): study rationale and design of a prospective cohort study for early differentiation of parkinsonism.

BMC Neurol. 2018-5-16

[10]
Precision Imaging in Neurodegeneration: The Superiority of Diffusion Tensor Imaging Over Conventional MRI in Differentiating Parkinson's Disease From Atypical Parkinsonian Syndromes.

Cureus. 2024-9-8

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[2]
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[3]
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本文引用的文献

[1]
Towards Transforming Neurorehabilitation: The Impact of Artificial Intelligence on Diagnosis and Treatment of Neurological Disorders.

Biomedicines. 2024-10-21

[2]
Frequency and Longitudinal Course of Behavioral and Neuropsychiatric Symptoms in Participants With Genetic Frontotemporal Dementia.

Neurology. 2024-10-22

[3]
Utility of neuromelanin-sensitive MRI in the diagnosis of dementia with Lewy bodies.

PLoS One. 2024

[4]
Multimodal neuroimaging to characterize symptom-specific networks in movement disorders.

NPJ Parkinsons Dis. 2024-8-14

[5]
Neurochemical changes in the progression of Huntington's disease: A meta-analysis of in vivoH-MRS studies.

Neurobiol Dis. 2024-9

[6]
Neuroimaging to Facilitate Clinical Trials in Huntington's Disease: Current Opinion from the EHDN Imaging Working Group.

J Huntingtons Dis. 2024

[7]
Hypothalamic involvement in multiple system atrophy: A structural MRI study.

J Neurol Sci. 2024-5-15

[8]
Machine Learning Approaches to Identify Affected Brain Regions in Movement Disorders Using MRI Data: A Systematic Review and Diagnostic Meta-analysis.

J Magn Reson Imaging. 2024-12

[9]
A rapid multi-parametric quantitative MR imaging method to assess Parkinson's disease: a feasibility study.

BMC Med Imaging. 2024-3-5

[10]
Neuromelanin-sensitive magnetic resonance imaging: Possibilities and promises as an imaging biomarker for Parkinson's disease.

Eur J Neurosci. 2024-5

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