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Multimodal Brain Imaging Predict

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SeminarPast EventNeuroscience

Multimodal brain imaging to predict progression of Alzheimer’s disease

Karl Herholz

Prof

University of Manchester, Division of Neuroscience and Experimental Psychology

Schedule
Monday, December 7, 2020

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Schedule

Monday, December 7, 2020

12:00 PM Europe/Paris

Host: ICM Paris Brain Institute

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984976

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Event Information

Format

Past Seminar

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Host

ICM Paris Brain Institute

Duration

70.00 minutes

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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.

Topics

Alzheimer'sbeta-amyloidexperimental psychologyfunctional connectivityglucose metabolismmagnetic resonance imagingmathematical modelsmultimodal brain imagingpositron emission tomographytau deposits

About the Speaker

Karl Herholz

Prof

University of Manchester, Division of Neuroscience and Experimental Psychology

Contact & Resources

Personal Website

www.research.manchester.ac.uk

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