Validation of Diffusion Kurtosis Imaging as an Early-Stage Biomarker of Parkinson’s Disease in Animal Models
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68081731%3A_____%2F22%3A00548440" target="_blank" >RIV/68081731:_____/22:00548440 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/protocol/10.1007%2F978-1-0716-1712-0_18" target="_blank" >https://link.springer.com/protocol/10.1007%2F978-1-0716-1712-0_18</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-1-0716-1712-0_18" target="_blank" >10.1007/978-1-0716-1712-0_18</a>
Alternative languages
Result language
angličtina
Original language name
Validation of Diffusion Kurtosis Imaging as an Early-Stage Biomarker of Parkinson’s Disease in Animal Models
Original language description
Diffusion kurtosis imaging (DKI), which is a mathematical extension of diffusion tensor imaging (DTI), assesses non-Gaussian water diffusion in the brain. DKI proved to be effective in supporting the diagnosis of different neurodegenerative disorders. Its sensitively detects microstructural changes in the brain induced by either protein accumulation, glial cell activation or neurodegeneration as observed in mouse models of Parkinson’s disease. We applied two experimental models of Parkinson’s disease to validate the diagnostic utility of DKI in early and late stage of disease pathology. We present two DKI analysis methods: (1) tract based spatial statistics (TBSS), which is a hypothesis independent data driven approach intended to evaluate white matter changes, and (2) region of interest (ROI) based analysis based on hypothesis of ROIs relevant for Parkinson’s disease, which is specifically used for gray matter changes. The main aim of this chapter is to provide detailed information of how to perform the DKI imaging acquisition and analysis in the mouse brain, which can be, to some extent translated to humans.
Czech name
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Czech description
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Classification
Type
C - Chapter in a specialist book
CEP classification
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OECD FORD branch
30103 - Neurosciences (including psychophysiology)
Result continuities
Project
<a href="/en/project/EF16_013%2F0001775" target="_blank" >EF16_013/0001775: Modernization and support of research activities of the national infrastructure for biological and medical imaging Czech-BioImaging</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Book/collection name
Neurodegenerative Diseases Biomarkers
ISBN
978-1-0716-1712-0
Number of pages of the result
27
Pages from-to
429-455
Number of pages of the book
565
Publisher name
Humana
Place of publication
New York
UT code for WoS chapter
000868553200020