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Ting MA

Memeber of IEEE,
Professor, Department of Electronics & Information Engineering, Harbin Institute of Technology at Shenzhen

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Brain Connectome Computing and Its Application in Neural Degeneration Diseases


Brain structural and functional alterations have been consistently proposed to be involved in the neurobiological underpinnings of aging and neurodegenerative disorders, such as Alzheimer's disease and Parkinson’s disease. Despite the considerable amount of neuroimaging research conducted in this area over the last decade, pathological perturbations of the brain are rarely confined to a single region. Instead, they often spread via axonal pathways to influence other regions. It is becoming increasingly accepted that connectome reorganization plays a key role in determining cognitive or motor disability. Correspondingly, hypothesis-free connectome-wide association studies (CWAS), may potentially allow for the identification of novel neural correlates of neurodegeneration at the whole-brain scale. Further elucidating how brain-network topology can shape neural responses to damage is needed to better understand disease status and progression.

In this talk, I will address several methodological challenges to precisely quantify brain connectome neurofingerprints of neurodegenerative disorders within the CWAS framework, and demonstrate the unique time-evolving trajectory of brain network reorganization related to neurodegeneration progress.


Professor Ting MA (Member, IEEE) received the B.Eng. and M.Sc. degrees from the Harbin Institute of Technology, Harbin, China, in 1999 and 2001, respectively, and the Ph.D. degree in biomedical engineering from the Chinese University of Hong Kong (CUHK), Hong Kong, in 2004.,From 2004 to 2009, she was a Postdoctoral Fellow with CUHK. From 2014 to 2016, she was a Visiting Professor with Johns Hopkins University, Baltimore, MD, USA. Since June 2009, she has been with the School of Electronics and Information Engineering, Harbin Institute of Technology, Shenzhen, China, where she is currently an Associate Professor. Her research interests include neural computing, neural image processing, and brain informatics. Prof. MA’s research interest focuses on neuroinformatics, including neural image computing, brain-computer-interface, and related translational research in neural diseases.

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