HOPE, Tuva R., Per SELNES, Irena REKTOROVÁ, Ľubomíra ANDERKOVÁ, Nela NĚMCOVÁ ELFMARKOVÁ, Zuzana BALÁŽOVÁ, Anders DALE, Atle BJORNERUD and Tormod FLADBY. Diffusion tensor and restriction spectrum imaging reflect different aspects of neurodegeneration in Parkinson's disease. Plos one. San Francisco: Public Library of Science, vol. 14, No 5, p. 1-13. ISSN 1932-6203. doi:10.1371/journal.pone.0217922. 2019.
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Basic information
Original name Diffusion tensor and restriction spectrum imaging reflect different aspects of neurodegeneration in Parkinson's disease
Authors HOPE, Tuva R. (578 Norway, guarantor), Per SELNES (578 Norway), Irena REKTOROVÁ (203 Czech Republic, belonging to the institution), Ľubomíra ANDERKOVÁ (703 Slovakia, belonging to the institution), Nela NĚMCOVÁ ELFMARKOVÁ (203 Czech Republic, belonging to the institution), Zuzana BALÁŽOVÁ (703 Slovakia, belonging to the institution), Anders DALE (840 United States of America), Atle BJORNERUD (578 Norway) and Tormod FLADBY.
Edition Plos one, San Francisco, Public Library of Science, 2019, 1932-6203.
Other information
Original language English
Type of outcome Article in a journal
Field of Study 30103 Neurosciences
Country of publisher United States of America
Confidentiality degree is not subject to a state or trade secret
WWW URL
Impact factor Impact factor: 2.740
RIV identification code RIV/00216224:14740/19:00109991
Organization unit Central European Institute of Technology
Doi http://dx.doi.org/10.1371/journal.pone.0217922
UT WoS 000469759100127
Keywords in English Parkinson's disease; neurodegeneration; diffusion tensor imaging; restriction spectrum imaging
Tags 14110127, podil, rivok
Tags International impact, Reviewed
Changed by Changed by: Mgr. Pavla Foltynová, Ph.D., učo 106624. Changed: 26/2/2020 16:01.
Abstract
To meet the need for Parkinson's disease biomarkers and evidence for amount and distribution of pathological changes, MRI diffusion tensor imaging (DTI) has been explored in a number of previous studies. However, conflicting results warrant further investigations. As tissue microstructure, particularly of the grey matter, is heterogeneous, a more precise diffusion model may benefit tissue characterization. The purpose of this study was to analyze the diffusion-based imaging technique restriction spectrum imaging (RSI) and DTI, and their ability to detect microstructural changes within brain regions associated with motor function in Parkinson's disease. Diffusion weighted (DW) MR images of a total of 100 individuals, (46 Parkinson's disease patients and 54 healthy controls) were collected using b-values of 0-4000s/mm(2). Output diffusion-based maps were estimated based on the RSI-model combining the full set of DW-images (Cellular Index (CI), Neurite Density (ND)) and DTI-model combining b = 0 and b = 1000 s/mm(2) (fractional anisotropy (FA), Axial-, Mean-and Radial diffusivity (AD, MD, RD)). All parametric maps were analyzed in a voxel-wise group analysis, with focus on typical brain regions associated with Parkinson's disease pathology. CI, ND and DTI diffusivity metrics (AD, MD, RD) demonstrated the ability to differentiate between groups, with strongest performance within the thalamus, prone to pathology in Parkinson's disease. Our results indicate that RSI may improve the predictive power of diffusion-based MRI, and provide additional information when combined with the standard diffusivity measurements. In the absence of major atrophy, diffusion techniques may reveal microstructural pathology. Our results suggest that protocols for MRI diffusion imaging may be adapted to more sensitive detection of pathology at different sites of the central nervous system.
Links
EF16_013/0001775, research and development projectName: Modernizace a podpora výzkumných aktivit národní infrastruktury pro biologické a medicínské zobrazování Czech-BioImaging
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