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Multimodal neuroimaging and Artificial Intelligence (AI) models in old age psychiatry

Speaker: Dr. Su, Li

Host: Yu-feng Zang

Time: Mar 3, 2019, 10:00 a.m.

Location: Shuyuan 19-308

Organization: Institute of Psychological Science, Hangzhou Normal University

Personal Profile:

Dr. Su now is a Principle Investigator leading the Computational Psychiatry Laboratory and NeuroTechnology Group in the Institute for Neuroscience at the University of Cambridge. He is also an affiliated member of the EPSRC Centre for Mathematical Imaging in Healthcare at Cambridge and has led the neuroimaging research in PREVENT-dementia, a multi-centre international consortium. He has a distinguished track record in the development of innovative methods of imaging analysis and their applications to psychiatric and late-life degenerative disorders, and is a renowned expert in MR, PET, EEG and MEG as well as Artificial Intelligence (AI) based computational modelling. He has authored several high impact papers that have been widely cited in the field.

Abstract:

He will present current and recent neuroimaging research conducted in his lab in University of Cambridge and collaborating centres nationally (Oxford, Imperial and Edinburgh) and internationally (Dublin and China) in seeking for potential early neuroimaging biomarkers for different types of dementia, such as Alzheimer's disease and Lewy body dementia. He combines multimodal imaging (MEG, EEG, MRI and PET) with genetics and AI based computational modelling to reveal neural mechanisms underlying dementia, and how risk factors (e.g. family history of dementia, APOE and MAPT genotype) affect brain structure, functions and behaviors across lifespan including in young and mid aged individuals.

【source: Date:2020-01-20 19:59:11 Hit:13