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DOI 10.3390/brainsci15010079

Медицинская библиотека · Brain sciences · 2025

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

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

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Аннотация

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.

Для цитирования: Ortega-Robles Emmanuel, de Celis Alonso Benito, Cantillo-Negrete Jessica, Carino-Escobar Ruben I, Arias-Carrión Oscar. Advanced Magnetic Resonance Imaging for Early Diagnosis and Monitoring of Movement Disorders.. Brain sciences. 2025. DOI: 10.3390/brainsci15010079.
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