Multimodal brain imaging to predict progression of Alzheimer’s disease
Brain Imaging, Clinical Neurology, Neuroimaging and seminar by Prof Karl Herholz, University of Manchester, Division of Neuroscience and Experimental Psychology
Hosted by ICM Paris Brain Institute
Monday 12:00–13:10 Paris (GMT+1)
Ended
Abstract
Cross-sectional and longitudinal multimodal brain imaging studies using positron emission tomography (PET) and magnetic resonance imaging (MRI) have provided detailed insight into the pathophysiological progression of Alzheimer’s disease. It starts at an asymptomatic stage with widespread gradual accumulation of beta-amyloid and spread of pathological tau deposits. Subsequently changes of functional connectivity and glucose metabolism associated with mild cognitive impairment and brain atrophy may develop. However, the rate of progression to a symptomatic stage and ultimately dementia varies considerably between individuals. Mathematical models have been developed to describe disease progression, which may be used to identify markers that determine the current stage and likely rate of progression. Both are very important to improve the efficacy of clinical trials. In this lecture, I will provide an overview on current research and future perspectives in this area.
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