Author name cluster
Possible papers associated with this exact author name in Arrow. This page groups case-insensitive exact name matches and is not a full identity disambiguation profile.
YNIMG Journal 2026 Journal Article
F]UCB-H PET may provide a feasible approach for tracking stage-dependent regional SV2A expression alterations and inter-regional deviation in this mouse model of primary tauopathy.
YNIMG Journal 2026 Journal Article
F]FDG uptake in these networks was comparable across both models, synaptic density changes were more pronounced in UVN vs. cUL. Specifically, synaptic density in the vestibular nuclei was significantly lower after UVN, accompanied by a more intense compensatory increase in sensorimotor cortical areas. In conclusion, synaptic density imaging may be a more sensitive method to depict subtle differences in mechanisms of lesion-induced adaptive neuroplasticity than traditional techniques such as imaging of glucose metabolism.
YNIMG Journal 2024 Journal Article
F]fluoro-d-glucose positron emission tomography (FDG-PET) imaging. We compared the results of FDG-µPET MC with conventional VOI-based analysis and behavioral assessment in the Morris water maze (MWM). The impact of awake versus anesthesia conditions on MC read-outs was studied and the robustness of MC data deriving from different scanners was tested. MC proved to be an accurate and robust indicator of functional connectivity loss when sample sizes ≥12 were considered. MC readouts were robust across scanners and in awake/ anesthesia conditions. MC loss was observed throughout all brain regions in tauopathy mice, whereas β-amyloid indicated MC loss mainly in spatial learning areas and subcortical networks. This study established a methodological basis for the utilization of MC in different β-amyloid and tau mouse models. MC has the potential to serve as a read-out of pathological changes within neuronal networks in these models.
YNICL Journal 2023 Journal Article
OBJECTIVE: F]UCB-H as an alternative preclinical biomarker for neurodegenerative processes in two mouse models representing the pathological hallmarks of Alzheimer's disease (AD). METHODS: F]UCB-H binding at different ages. Following the final scan, a subset of mouse brains was immunohistochemically stained with synaptic markers for gold standard validation of the PET results. RESULTS: F]GE180 quantification were positively correlated in this cohort (R = 0.36, p = 0.0076). CONCLUSION: F]FDG as a biomarker for assessment of neurodegeneration in preclinical research.
YNIMG Journal 2021 Journal Article
BACKGROUND: In Alzheimer`s disease (AD), regional heterogeneity of β-amyloid burden and microglial activation of individual patients is a well-known phenomenon. Recently, we described a high incidence of inter-individual regional heterogeneity in terms of asymmetry of plaque burden and microglial activation in β-amyloid mouse models of AD as assessed by positron-emission-tomography (PET). We now investigate the regional associations between amyloid plaque burden, microglial activation, and impaired spatial learning performance in transgenic mice in vivo. METHODS: mice, controlled for age and sex. In order to assess the effects of hemispheric asymmetry, we also analyzed correlations of spatial learning performance with tracer uptake in bilateral regions of interest for frontal cortex, entorhinal/piriform cortex, amygdala, and hippocampus, using a regression model. We tested the correlation between regional asymmetry of PET biomarkers with individual spatial learning performance. RESULTS: mice revealed that higher TSPO-PET signal in the amygdala, entorhinal and piriform cortices, the hippocampus and the hypothalamus correlated with spatial learning performance. Region-based analysis showed significant correlations between TSPO expression in the right entorhinal/piriform cortex and the right amygdala and spatial learning performance, whereas there were no such correlations in the left hemisphere. Right lateralized TSPO expression in the amygdala predicted better performance in the Morris water maze (β = -0.470, p = 0.013), irrespective of the global microglial activation and amyloid level. Region-based results for amyloid-PET showed no significant associations with spatial learning. CONCLUSION: mice is associated with better spatial learning. Our findings support a protective role of microglia on cognitive function when they highly express TSPO in specific brain regions involved in spatial memory.
YNIMG Journal 2018 Journal Article
Objectives PET imaging of the 18 kDa translocator protein (TSPO), a biomarker of microglial activity, receives growing interest in clinical and preclinical applications of neuroinflammatory and neurodegenerative brain diseases. In globally affected brains, intra-cerebral pseudo reference regions are not feasible. Consequently, many brain-independent approaches have been attempted, including SUV analysis and normalization to muscle- or heart uptake, aiming to stabilize quantitative analysis. In this study, we systematically compared different image normalization methods for static late phase TSPO-PET imaging of rodent brain. Methods We first obtained gamma counter measurements for gold standard quantitation of [18F]GE180 uptake in brain of C57Bl/6 mice (N = 10) after PET, aiming to identify factors contributing significantly to the quantitative results. Subsequently, data from a large cohort of C57Bl/6 mice (N = 79) were compiled to precisely determine the weighted influence and variance attributable these factors by regression analysis. Scan-rescan variability and agreement with histology were used to validate the tested normalization methods in an Alzheimer's disease (AD) mouse model with pathologically increased TSPO expression (PS2APP; N = 24). Longitudinal data from AD model mice (N = 10) scanned at four different ages were used to challenge and validate the different normalization methods in a practical application. Results Gamma counter results revealed that injected dose, body weight and PET-measured radioactivity concentration in the ventral myocardium all significantly accounted for [18F]GE180 activity in the brain. Skeletal muscle activity had high test-retest variance in this PET only application and was therefore pursued no further. Regression analysis of the large scale evaluation showed that scaling to injected dose or SUV analysis accounted for little variance in brain activity (R2 < 0. 5), but inclusion of myocardial activity together with injected dose and body weight in the regression model accounted for most of the variance in brain uptake (R2 = 0. 94). Scan-rescan stability, correlation with histology and applicability for longitudinal examination in the disease model were also significantly improved by inclusion of myocadial uptake in the quantitative model. Conclusion Cerebral and myocardial TSPO expression are highly coupled under physiological conditions. Myocardial uptake has great potential for stabilization of static late phase [18F]GE180 quantification in brain in the absence of a valid intra-cerebral pseudo-reference region.
YNICL Journal 2017 Journal Article
F]GE-180 PET brain imaging can serve as a biomarker of epileptogenesis. The identification of brain regions with predictive value might facilitate the development of preventive concepts as well as the early assessment of the interventional success. Future studies are necessary to further confirm the predictivity of the approach.