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@article{1541697,
author = {Hope, Tuva R. and Selnes, Per and Rektorová, Irena and Anderková, Ľubomíra and Němcová Elfmarková, Nela and Balážová, Zuzana and Dale, Anders and Bjornerud, Atle and Fladby, Tormod},
article_location = {San Francisco},
article_number = {5},
doi = {http://dx.doi.org/10.1371/journal.pone.0217922},
keywords = {Parkinson's disease; neurodegeneration; diffusion tensor imaging; restriction spectrum imaging},
language = {eng},
issn = {1932-6203},
journal = {Plos one},
title = {Diffusion tensor and restriction spectrum imaging reflect different aspects of neurodegeneration in Parkinson's disease},
url = {https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0217922&type=printable},
volume = {14},
year = {2019}
}
TY - JOUR
ID - 1541697
AU - Hope, Tuva R. - Selnes, Per - Rektorová, Irena - Anderková, Ľubomíra - Němcová Elfmarková, Nela - Balážová, Zuzana - Dale, Anders - Bjornerud, Atle - Fladby, Tormod
PY - 2019
TI - Diffusion tensor and restriction spectrum imaging reflect different aspects of neurodegeneration in Parkinson's disease
JF - Plos one
VL - 14
IS - 5
SP - 1-13
EP - 1-13
PB - Public Library of Science
SN - 19326203
KW - Parkinson's disease
KW - neurodegeneration
KW - diffusion tensor imaging
KW - restriction spectrum imaging
UR - https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0217922&type=printable
L2 - https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0217922&type=printable
N2 - 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.
ER -
HOPE, Tuva R., Per SELNES, Irena REKTOROVÁ, Ľubomíra ANDERKOVÁ, Nela NĚMCOVÁ ELFMARKOVÁ, Zuzana BALÁŽOVÁ, Anders DALE, Atle BJORNERUD a Tormod FLADBY. Diffusion tensor and restriction spectrum imaging reflect different aspects of neurodegeneration in Parkinson's disease. \textit{Plos one}. San Francisco: Public Library of Science, 2019, roč.~14, č.~5, s.~1-13. ISSN~1932-6203. Dostupné z: https://dx.doi.org/10.1371/journal.pone.0217922.
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