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Olfactory Impairment in Parkinsons Disease Studied with Diffusion Tensor and Magnetization Transfer Imaging
Linköping University, Department of Medical and Health Sciences, Division of Radiological Sciences. Linköping University, Faculty of Medicine and Health Sciences. Region Östergötland, Center for Diagnostics, Department of Radiology in Linköping.
Linköping University, Department of Medical and Health Sciences, Division of Cardiovascular Medicine. Linköping University, Faculty of Medicine and Health Sciences. Region Östergötland, Heart and Medicine Center, Department of Clinical Physiology in Linköping. Linköping University, Center for Medical Image Science and Visualization (CMIV). SyntheticMR AB, Linkoping, Sweden.
Linköping University, Department of Clinical and Experimental Medicine, Division of Neuro and Inflammation Science. Linköping University, Faculty of Medicine and Health Sciences. Region Östergötland, Local Health Care Services in Central Östergötland, Department of Neurology.
Linköping University, Department of Medical and Health Sciences, Division of Cardiovascular Medicine. Linköping University, Faculty of Medicine and Health Sciences. Region Östergötland, Heart and Medicine Center, Department of Clinical Physiology in Linköping. Linköping University, Center for Medical Image Science and Visualization (CMIV).
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2017 (English)In: Journal of Parkinson's Disease, ISSN 1877-7171, E-ISSN 1877-718X, Vol. 7, no 2, 301-311 p.Article in journal (Refereed) Published
Abstract [en]

Background: Olfactory impairment is an early manifestation of Parkinsons disease (PD). Diffusion Tensor Imaging (DTI) and Magnetization Transfer (MT) are two imaging techniques that allow noninvasive detection of microstructural changes in the cerebral white matter. Objective: To assess white matter alterations associated with olfactory impairment in PD, using a binary imaging approach with DTI and MT. Methods: 22 PD patients and 13 healthy controls were examined with DTI, MT and an odor discrimination test. DTI data were first analyzed with tract-based spatial statistics (TBSS) in order to detect differences in fractional anisotropy, mean, radial and axial diffusivity between PD patients and controls. Voxelwise randomized permutation was employed for the MT analysis, after spatial and intensity normalization. Additionally, ROI analysis was performed on both the DTI and MT data, focused on the white matter adjacent to olfactory brain regions. Results: Whole brain voxelwise analysis revealed decreased axial diffusivity in the left uncinate fasciculus and the white matter adjacent to the left olfactory sulcus of PD patients. ROI analysis demonstrated decreased axial diffusivity in the right orbitofrontal cortex, as well as decreased mean diffusivity and axial diffusivity in the white matter of the left entorhinal cortex of PD patients. There were no significant differences regarding fractional anisotropy, radial diffusivity or MT between patients and controls. Conclusions: ROI analysis of DTI could detect microstructural changes in the white matter adjacent to olfactory areas in PD patients, whereas MT imaging could not.

Place, publisher, year, edition, pages
IOS PRESS , 2017. Vol. 7, no 2, 301-311 p.
Keyword [en]
Parkinson disease; smell; diffusion tensor imaging; magnetization transfer contrast imaging
National Category
Neurology
Identifiers
URN: urn:nbn:se:liu:diva-138300DOI: 10.3233/JPD-161060ISI: 000401801600010PubMedID: 28482644OAI: oai:DiVA.org:liu-138300DiVA: diva2:1108891
Note

Funding Agencies|Swedish Parkinson Foundation; Linkoping University Hospital Research Fund; ALF Grants from Region Ostergotland

Available from: 2017-06-13 Created: 2017-06-13 Last updated: 2017-06-29

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Georgiopoulos, CharalamposWarntjes, Marcel Jan BertusDizdar-Segrell, NilZachrisson, HeleneEngström, Maria
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Division of Radiological SciencesFaculty of Medicine and Health SciencesDepartment of Radiology in LinköpingDivision of Cardiovascular MedicineDepartment of Clinical Physiology in LinköpingCenter for Medical Image Science and Visualization (CMIV)Division of Neuro and Inflammation ScienceDepartment of Neurology
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