Number of the records: 1  

Neurodegenerative Diseases Biomarkers

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    SYSNO ASEP0548440
    Document TypeM - Monograph Chapter
    R&D Document TypeMonograph Chapter
    TitleValidation of Diffusion Kurtosis Imaging as an Early-Stage Biomarker of Parkinson’s Disease in Animal Models
    Author(s) Khairnar, A. (IN)
    Dražanová, Eva (UPT-D) RID, ORCID, SAI
    Szabó, N. (HU)
    Rudá-Kučerová, J. (CZ)
    Source TitleNeurodegenerative Diseases Biomarkers. - New York : Humana, 2022 / Peplow P. V. ; Martinez B. ; Gennarelli T. A. - ISBN 978-1-0716-1711-3
    Pagess. 429-455
    Number of pages27 s.
    Number of pages565
    Publication formPrint - P
    Languageeng - English
    CountryUS - United States
    KeywordsDiffusion kurtosis imaging ; Diffusion tensor imaging ; Magnetic resonance imaging ; Methamphetamine ; Microstructural changes ; Neurodegeneration ; α-Synuclein ; TNWT-61 Mice
    Subject RIVFH - Neurology
    OECD categoryNeurosciences (including psychophysiology
    R&D ProjectsLM2015062 GA MŠk - Ministry of Education, Youth and Sports (MEYS)
    EF16_013/0001775 GA MŠk - Ministry of Education, Youth and Sports (MEYS)
    Institutional supportUPT-D - RVO:68081731
    EID SCOPUS85117525934
    DOI10.1007/978-1-0716-1712-0_18
    AnnotationDiffusion 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.
    WorkplaceInstitute of Scientific Instruments
    ContactMartina Šillerová, sillerova@ISIBrno.Cz, Tel.: 541 514 178
    Year of Publishing2023
    Electronic addresshttps://link.springer.com/protocol/10.1007%2F978-1-0716-1712-0_18
Number of the records: 1