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Basic clinical features do not predict dopamine transporter binding in idiopathic REM behavior disorder

REM sleep behavior disorder (RBD) is strongly associated with development of Parkinson’s Disease and other α-synuclein-related disorders. Dopamine transporter (DAT) binding deficit predicts conversion to α-synuclein-related disorders in individuals with RBD. In turn, identifying which individuals wi...

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Detalles Bibliográficos
Autores principales: Chahine, L. M., Iranzo, A., Fernández-Arcos, A., Simuni, T., Seedorff, N., Caspell-Garcia, C., Amara, A. W., Comella, C., Högl, B., Hamilton, J., Marek, K., Mayer, G., Mollenhauer, B., Postuma, R., Tolosa, E., Trenkwalder, C., Videnovic, A., Oertel, W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6351563/
https://www.ncbi.nlm.nih.gov/pubmed/30701189
http://dx.doi.org/10.1038/s41531-018-0073-1
Descripción
Sumario:REM sleep behavior disorder (RBD) is strongly associated with development of Parkinson’s Disease and other α-synuclein-related disorders. Dopamine transporter (DAT) binding deficit predicts conversion to α-synuclein-related disorders in individuals with RBD. In turn, identifying which individuals with RBD have the highest likelihood of having abnormal DAT binding would be useful. The objective of this analysis was to examine if there are basic clinical predictors of DAT deficit in RBD. Participants referred for inclusion in the RBD cohort of the Parkinson Progression Markers Initiative were included. Assessments at the screening visit including DAT SPECT imaging, physical examination, cognitive function screen, and questionnaire-based non-motor assessment. The group with DAT binding deficit (n = 49) was compared to those without (n = 26). There were no significant differences in demographic or clinical features between the two groups. When recruiting RBD cohorts enriched for high risk of neurodegenerative disorders, our data support the need for objective biomarker assessments.