Inferring the causality network inside the brain for the development of Alzheimer’s disease: statistical inference approach
In this talk, Hamed Farhadi will present recent results on inferring the pathways of Alzheimer’s disease (AD) propagation inside the brain. In this study, they intended to infer the causality network for the hallmarks of Alzheimer’s disease (A-beta and Tau) inside the brain using clinical data obtained from positron emission tomography (PET) of elderly patients at Massachusset General Hospital (MGH).
First, Hamed will briefly present the background of this study. Next, he will give an overview of the nonlinear causality inference test that he has developed for this study. Finally, he will present the results that reveal causality relationships in certain brain regions that can be affected by AD.
This project is carried out in John Paulson School of Engineering and Applied Science (SEAS) at Harvard in collaboration with MGH and Harvard Medical School.
If you register before 13 pm on 2 May, you will be served a light lunch after the seminar.
More information –> here