Diffusion tensor metrics, motor and non-motor symptoms in de novo Parkinson's disease.

Autor: Soares NM; Universidade Federal de Ciências da Saúde de Porto Alegre, UFCSPA, Porto Alegre, RS, Brazil. nayronn@gmail.com.; Universidade Federal do Rio Grande do Sul, UFRGS, Porto Alegre, RS, Brazil. nayronn@gmail.com.; Serviço de Neurologia, Hospital de Clínicas de Porto Alegre, HCPA, Porto Alegre, RS, Brazil. nayronn@gmail.com., da Silva PHR; Serviço Interdisciplinar de Neuromodulação do Instituto de Psiquiatria do Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, USP, São Paulo, SP, Brazil., Pereira GM; Universidade Federal de Ciências da Saúde de Porto Alegre, UFCSPA, Porto Alegre, RS, Brazil.; Universidade Federal do Rio Grande do Sul, UFRGS, Porto Alegre, RS, Brazil.; Serviço de Neurologia, Hospital de Clínicas de Porto Alegre, HCPA, Porto Alegre, RS, Brazil., Leoni RF; Faculdade de Filosofia Ciências e Letras de Ribeirão Preto da Universidade de São Paulo, USP, Ribeirao Preto, SP, Brazil., Rieder CRM; Departamento de Clínica Médica, Universidade Federal de Ciências da Saúde de Porto Alegre, UFCSPA, Porto Alegre, RS, Brazil.; Serviço de Neurologia, Irmandade Santa Casa de Misericórdia de Porto Alegre, ISCMPA, Porto Alegre, RS, Brazil., Alva TAP; Departamento de Ciências Exatas e Sociais Aplicadas, Universidade Federal de Ciências da Saúde de Porto Alegre, UFCSPA, Porto Alegre, RS, Brazil.
Jazyk: angličtina
Zdroj: Neuroradiology [Neuroradiology] 2024 Nov; Vol. 66 (11), pp. 1955-1966. Date of Electronic Publication: 2024 Aug 27.
DOI: 10.1007/s00234-024-03452-6
Abstrakt: Introduction: Parkinson's disease (PD) is a neurodegenerative disorder characterized by dopaminergic neurons' degeneration of the substantia nigra, presenting with motor and non-motor symptoms. We hypothesized that altered diffusion metrics are associated with clinical symptoms in de novo PD patients.
Methods: Fractional Anisotropy (FA) and Mean (MD), Axial (AD), and Radial Diffusivity (RD) were assessed in 55 de novo PD patients (58.62 ± 9.85 years, 37 men) and 55 age-matched healthy controls (59.92 ± 11.25 years, 34 men). Diffusion-weighted images and clinical variables were collected from the Parkinson's Progression Markers Initiative study. Tract-based spatial statistics were used to identify white matter (WM) changes, and fiber tracts were localized using the JHU-WM tractography atlas. Motor and non-motor symptoms were evaluated in patients.
Results: We observed higher FA values and lower RD values in patients than controls in various fiber tracts (p-TFCE < 0.05). No significant MD or AD difference was observed between groups. Diffusion metrics of several regions significantly correlated with non-motor (state and trait anxiety and daytime sleepiness) and axial motor symptoms in the de novo PD group. No correlations were observed between diffusion metrics and other clinical symptoms evaluated.
Conclusion: Our findings suggest microstructural changes in de novo PD fiber tracts; however, limited associations with clinical symptoms reveal the complexity of PD pathology. They may contribute to understanding the neurobiological changes underlying PD and have implications for developing targeted interventions. However, further longitudinal research with larger cohorts and consideration of confounding factors are necessary to elucidate the underlying mechanisms of these diffusion alterations in de novo PD.
(© 2024. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)
Databáze: MEDLINE
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