Comparison of Olfactory Tract Diffusion Measures Between Early Stage Parkinson’s Disease Patients and Healthy Controls Using Ultra-High Field MRI

Author:

Heijmans Margot1,Wolters Amée F.12,Temel Yasin13,Kuijf Mark L.12,Michielse Stijn1

Affiliation:

1. School for Mental Health and Neuroscience, Maastricht University, Maastricht, The Netherlands

2. Department of Neurology, Maastricht University Medical Center, Maastricht, The Netherlands

3. Department of Neurosurgery, Maastricht University Medical Center, Maastricht, The Netherlands

Abstract

Background: MRI is a valuable method to assist in the diagnostic work-up of Parkinson’s disease (PD). The olfactory tract (OT) has been proposed as a potential MRI biomarker for distinguishing PD patients from healthy controls. Objective: This study aims to further investigate whether diffusion measures of the OT differ between early stage PD patients and healthy controls. Methods: Twenty hyposmic/anosmic PD patients, 65 normosmic PD patients, and 36 normosmic healthy controls were evaluated and a 7T diffusion weighted image scan was acquired. Manual seed regions of interest were drawn in the OT region. Tractography of the OT was performed using a deterministic streamlines algorithm. Diffusion measures (fractional anisotropy and mean- radial- and axial diffusivity) of the generated streamlines were compared between groups. Results: Diffusion measures did not differ between PD patients compared to healthy controls and between hyposmic/anosmic PD patients, normosmic PD patients, and normosmic healthy controls. A positive correlation was found between age and mean- and axial diffusivity within the hyposmic/anosmic PD subgroup, but not in the normosmic groups. A positive correlation was found between MDS-UPDRSIII scores and fractional anisotropy. Conclusion: This study showed that fiber tracking of the OT was feasible in both early stage PD and healthy controls using 7T diffusion weighted imaging data. However, 7T MRI diffusion measures of the OT are not useful as an early clinical biomarker for PD. Future work is needed to clarify the role of other OT measurements as a biomarker for PD and its different subgroups.

Publisher

IOS Press

Subject

Cellular and Molecular Neuroscience,Neurology (clinical)

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