Advanced Magnetic Resonance Imaging for Early Diagnosis and Monitoring of Movement Disorders DOI Creative Commons
Emmanuel Ortega‐Robles, Benito de Celis Alonso, Jessica Cantillo-Negrete

и другие.

Brain Sciences, Год журнала: 2025, Номер 15(1), С. 79 - 79

Опубликована: Янв. 16, 2025

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

Язык: Английский

A brief history of brain iron accumulation in Parkinson disease and related disorders DOI Creative Commons

Paul Foley,

Dominic J. Hare, Kay L. Double

и другие.

Journal of Neural Transmission, Год журнала: 2022, Номер 129(5-6), С. 505 - 520

Опубликована: Май 9, 2022

Abstract Iron has a long and storied history in Parkinson disease related disorders. This essential micronutrient is critical for normal brain function, but abnormal iron accumulation been associated with extrapyramidal century. Precisely why, how, when implicated neuronal death remains the subject of investigation. In this article, we review movement disorders, from first observations early twentieth century to recent efforts that view as novel therapeutic target diagnostic indicator.

Язык: Английский

Процитировано

38

A voice feature extraction method based on fractional attribute topology for Parkinson’s disease detection DOI
Tao Zhang, Liqin Lin, Zaifa Xue

и другие.

Expert Systems with Applications, Год журнала: 2023, Номер 219, С. 119650 - 119650

Опубликована: Фев. 3, 2023

Язык: Английский

Процитировано

22

Computational Insights into Chromene/pyran Derivatives: Molecular Docking, ADMET Studies, DFT Calculations, and MD Simulations as Promising Candidates for Parkinson's Disease DOI
Anjali Rani, M. Aslam,

Javed Khan

и другие.

Chemistry & Biodiversity, Год журнала: 2024, Номер 21(8)

Опубликована: Май 31, 2024

Parkinson's disease (PD) is a neurodegenerative condition characterized by both motor and non-motor symptoms. Although PD commonly associated with decline of dopaminergic neurons in the substantia nigra, other diagnostic criteria biomarkers also exist. In search for novel therapeutic agents, chromene pyran derivatives have shown potential due to their diverse pharmacological activities. This study utilizes comprehensive computational approach investigate viability chromene/pyran compounds as treatments PD. The drug-likeness characteristics these molecules were analyzed using ADMET (Absorption, Distribution, Metabolism, Excretion, Toxicity) studies. Molecular docking was performed against PDB ID: 2V5Z. best three chosen compound 7, 24, 67 binding energy -6.7, -8.6, -10.9 kcal/mol. Molecules demonstrating positive blood-brain barrier permeability, good solubility, favorable affinity further evaluated Density Functional Theory (DFT) calculations Dynamics (MD) simulations assess electronic structure stability. DFT indicated that molecule 82 has dipole moment 15.70 D. RMSD RMSF results confirmed stability complexes over 100 ns simulation, maximum 3 hydrogen bonds formed.

Язык: Английский

Процитировано

9

A multi-stage efficientnet based framework for Alzheimer’s and Parkinson’s diseases prediction on magnetic resonance imaging DOI
K. Aditya Shastry,

Sathvik Shastry,

Aravind Shastry

и другие.

Multimedia Tools and Applications, Год журнала: 2025, Номер unknown

Опубликована: Янв. 14, 2025

Язык: Английский

Процитировано

1

Advanced Magnetic Resonance Imaging for Early Diagnosis and Monitoring of Movement Disorders DOI Creative Commons
Emmanuel Ortega‐Robles, Benito de Celis Alonso, Jessica Cantillo-Negrete

и другие.

Brain Sciences, Год журнала: 2025, Номер 15(1), С. 79 - 79

Опубликована: Янв. 16, 2025

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

Язык: Английский

Процитировано

1