a 2020

BRAIN MICROSTRUCTURAL CHANGES ARE RELATED TO SPECIFIC PD PHENOTYPES

ŠEJNOHA MINSTEROVÁ, Alžběta; Patrícia KLOBUŠIAKOVÁ; Adrián PIEŠ a Irena REKTOROVÁ

Základní údaje

Originální název

BRAIN MICROSTRUCTURAL CHANGES ARE RELATED TO SPECIFIC PD PHENOTYPES

Vydání

IAPRD XXV World Congress on Parkinson's Disease and Related Disorders 2020, 2020

Další údaje

Jazyk

angličtina

Typ výsledku

Konferenční abstrakt

Obor

30103 Neurosciences

Stát vydavatele

Velká Británie a Severní Irsko

Utajení

není předmětem státního či obchodního tajemství

Odkazy

Impakt faktor

Impact factor: 4.891

Označené pro přenos do RIV

Ne

Organizační jednotka

Středoevropský technologický institut

ISSN

Klíčová slova anglicky

BRAIN; PD PHENOTYPE

Příznaky

Mezinárodní význam
Změněno: 15. 3. 2021 19:59, Mgr. Pavla Foltynová, Ph.D.

Anotace

V originále

Objectives: Diffusion kurtosis imaging (DKI) overcomes the deficiency of DTI and gives more precise information about the microstructural properties of the tissue. Previous studies, both human and animal, suggest that DKI can serve as an early imaging biomarker for Parkinson's disease (PD). Methods: Ninety-two participants (PD-normal cognition, PD-MCI and HC) underwent neuropsychological and MRI examination. DKI data was preprocessed in FSL and DKE. Fractional anisotropy (FA) and mean/radial/axial kurtosis (MK/RK/AK) were of interest. Appropriate DTI parameterswere used for comparison. Gray matter (GM) was evaluated using the ROI analysis, whitematter (WM) using the tract-based spatial statistics (TBSS) and atrophy using the deformation-based morphometry. Results were FDR corrected. Characteristics of significant markers were evaluated by the ROC curve. Results: Performance in cognitive testing deteriorated from HC to PD-NC to PD-MCI. Between HC and PD-NC only differences in GM were detected - increased FA in substantia nigra, MK in thalamus and MK and AK in cortical GM in PD-NC. No changes in WM or gross atrophy were observed. PD-MCI showed widespread changes in WM (decreased DKI and increased DTI metrics) and gross atrophy in frontal areas compared to HC and PD-NC. PDMCI additionally showed decreased MK and AK in cortical GM, compared to PD-NC. The MK in cortical GM showed the best diagnostic accuracy (71%) for identification of PD-NC and HC. Conclusion: Our results showed that microstructural changes assessed by DKI parameters in both subcortical and cortical GM are already present in PD-NC and may reflect a-synuclein-related pathology, while widespread WM changes and both gross and microstructural GM changes suggestive of brain atrophy are characteristic of PD-MCI. We confirmed the superiority of DKI over DTI as a diagnostic biomarker of PD, but the ROC showed that the potential of DKI metrics to become an early diagnostic biomarker of PD is questionable.