Diffusion tensor and restriction spectrum imaging reflect
different aspects of neurodegeneration in Parkinson's disease

J 2019

Diffusion tensor and restriction spectrum imaging reflect different aspects of neurodegeneration in Parkinson's disease

HOPE, Tuva R., Per SELNES, Irena REKTOROVÁ, Ľubomíra ANDERKOVÁ, Nela NĚMCOVÁ ELFMARKOVÁ et. al.

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

Language

English

Type of outcome

Článek v odborném periodiku

Field of Study

30103 Neurosciences

Country of publisher

United States of America

Confidentiality degree

není předmětem státního či obchodního tajemství

References:

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

Abstract

V originále

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 project

Name: Modernizace a podpora výzkumných aktivit národní infrastruktury pro biologické a medicínské zobrazování Czech-BioImaging

Citovat

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, 2019, vol. 14, No 5, p. 1-13. ISSN 1932-6203. Available from: https://dx.doi.org/10.1371/journal.pone.0217922.

@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 and 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, vol.~14, No~5, p.~1-13. ISSN~1932-6203. Available from: https://dx.doi.org/10.1371/journal.pone.0217922.

Detailed Information on Publication Record