The diagnostic classification of people with as Parkinson’s disease (PD) depends on the combination and temporal trajectories of typical clinical motor and non-motor features. To improve observer-independent detection of PD pathology in vivo, we leverage the potential of multiparametric structural imaging to improve the diagnostic accuracy for early PD.
Sophisticated structural magnetic resonance imaging (MRI); susceptibility weighted-imaging (SWI), quantitative susceptibility mapping (QSM) and neuromelanin imaging (NMI) is combined with optical coherence tomography (OCT) to detect PD-pathology in vivo.
Deep clinical phenotyping with quantitative ocular motor examination and video-based clinical examination complements the structural imaging approach to achieve an improved observer-independent classification of PD symptoms.
Senior physician
Dr Julian Conrad is a Senior physician in the division of neurodegenerative diseases, department of Neurology, University Medicine Mannheim, University of Heidelberg.
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Lecture:
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