A brainstem-oriented PET/NMR method in Parkinson’s disease
Objective: To create a voxel-based method, oriented to the brainstem and allowing the detection of Parkinson’s disease (PD) and the study of the altered connectivity…In vivo synaptic density in parkinsonism
Objective: To provide first evidence of in vivo binding properties of the [18F]SynVesT-1 tracer (aka [18F]-SDM-8) for the quantification of synaptic density loss in a…Brain effects of high-intensity exercise on the dopamine system in individuals with Parkinson’s disease
Objective: We used PET imaging with 18F-FE-PE2I to quantify dopamine transporter availability and neuromelanin (NM)-MRI to measure the NM content in the substantia nigra (SN)…Longitudinal combined 11C UCB J and 18F FE PE2I PET imaging of presynaptic terminal loss in early Parkinson’s disease.
Objective: To longitudinally assess presynaptic terminal loss in vivo over a 2-year period in people with early Parkinson’s disease (PD). Background: Imaging tools that allow…Distinct amyloid-dependent patterns of nigral dopamine depletion in Lewy body diseases
Objective: To investigate the effect of amyloid on striatal 18F-FP-CIT uptake patterns in Lewy body disease (LBD), including Parkinson’s disease (PD) and dementia with Lewy…FDG-PET features of Lewy body dementia among patients with amnestic presentations typical for Alzheimer’s disease
Objective: To better understand the role of FDG-PET for identifying dementia with Lewy bodies (DLB) in the context of Alzheimer’s disease (AD)-like amnestic presentations, we…Multimodal assessment of nigrostriatal degeneration in de novo Parkinson’s disease
Objective: To study nigrostriatal changes with a multifactorial neuroimaging approach in order to further characterize early abnormalities in Parkinson’s Disease (PD). Background: Imaging techniques allow…Effect of exercise on brain metabolism and energetics in PD
Objective: To identity the effect of exercise on brain metabolism and energetics in PD using PET/MR imaging. Background: Aerobic exercise slows PD progression as reflected…Feasibility of artificial intelligence in predicting early phenotype conversion of REM Sleep Behavior Disorder
Objective: The goal of this study was to investigate the feasibility of deep learning in the prediction of disease conversion in RBD patients. Background: Rapid…Imaging progressive peripheral and central dysfunction in isolated REM sleep behaviour disorder after 3 years of follow-up
Objective: To image progression of intestinal dysfunction, cardiac sympathetic denervation, and dopaminergic nigrostriatal damage in patients with isolated REM sleep behaviour disorder (iRBD). Background: A…
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