Abstract
Introduction: Parkinson's disease (PD) is typically diagnosed when motor symptoms first occur. However, PD-related non-motor symptoms may appear several years before diagnosis. REM sleep behaviour disorder (RBD) and olfactory deficits (hyposmia) are risk factors, but they are not specific for predicting progression towards PD. Other PD-related markers, for example brain imaging markers, may help to identify preclinical PD in hyposmic RBD patients. Studies have reported abnormal structural characteristics in the corticospinal tract (CST) of PD patients, but it is unclear whether hyposmic RBD patients have similar abnormalities that may help to predict PD in these individuals. This study examined whether CST abnormalities may be a potential marker of PD risk by using diffusion tensor imaging (DTI) measures. Methods: Twenty hyposmic RBD patients, 31 PD patients, and 29 healthy controls (HCs) were studied. DTI data were collected on a 1.5 T MRI scanner and CST characteristics (FA, MD, AD, and RD) were evaluated using probabilistic tractography (with seed regions in the bilateral primary motor cortex and mediolateral cerebral peduncles). Olfactory function was assessed with the University of Pennsylvania Smell Identification Test (UPSIT). Results: Hyposmic RBD patients showed significantly higher mean diffusivity (MD) values of the right CST compared to HCs but did not differ from PD patients. PD patients showed a trend of higher MD values compared to HCs. Conclusions: Altered diffusivity in the CST seems to be associated with RBD. The combination of RBD, hyposmia, and CST alterations may be related to later development of PD with comorbid RBD.
Original language | English |
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Article number | 100182 |
Journal | Clinical Parkinsonism and Related Disorders |
Volume | 8 |
DOIs | |
Publication status | Published - Jan 2023 |
Bibliographical note
Funding Information:We are grateful to Carl Helmick for his work on the DTI analysis. We would also like to thank Denise Lewis for coordinating and conducting data collection and Alicia Reil for her help in formatting this manuscript. We would like to thank the Department of Psychiatry Research Fund, Capital Health Research Fund, Parkinson's Society of Canada, and the Canadian Institutes of Health Research for funding this study.
Funding Information:
This study was funded by the Canadian Institutes of Health Research, the Department of Psychiatry Research Fund (Dalhousie University), the Capital Health Research Fund, and the Parkinson's Society of Canada.
Funding Information:
We are grateful to Carl Helmick for his work on the DTI analysis. We would also like to thank Denise Lewis for coordinating and conducting data collection and Alicia Reil for her help in formatting this manuscript. We would like to thank the Department of Psychiatry Research Fund, Capital Health Research Fund, Parkinson's Society of Canada, and the Canadian Institutes of Health Research for funding this study.
Publisher Copyright:
© 2022
ASJC Scopus Subject Areas
- Clinical Neurology
- Cellular and Molecular Neuroscience
PubMed: MeSH publication types
- Journal Article