BME Seminar: Xiaoping P. Hu, University of California, Riverside
Friday,
November 15, 2019
11:00 AM - 12:00 PM
Department of Computer Science, 500 W. 120th St., New York, New York 10027
Room/Area: 451
Room/Area: 451
All are welcome (attendance required for graduate students). Lunch is provided.
Xiaoping P. Hu, Ph.D., Chair, Department of Biomedical Engineering, University of California, Riverside
MRI Imaging of Brain Dynamics and Neurodegenerative Markers
In addition to providing exquisite details of brain anatomy, MRI can also map the function, connectivity, and other important characteristics, such as melanin and iron contents, of the brain. In this talk, I will highlight our work on the methodological development and applications in some of these aspects. The first part will be on the study of brain dynamics with resting-state functional MRI. In this regard, I will describe how we can characterize the brain dynamics with a hidden Markov model, revealing spatiotemporal characteristics of resting state brain, and how to take advantage of the dynamic information in brain segmentation and subject identification. In the second part, I will describe the use of MRI to image brain melanin and iron and their application in the diagnosis of Parkinson’s disease (PD), with the potential for early detection.
Xiaoping P. Hu, Ph.D., Chair, Department of Biomedical Engineering, University of California, Riverside
MRI Imaging of Brain Dynamics and Neurodegenerative Markers
In addition to providing exquisite details of brain anatomy, MRI can also map the function, connectivity, and other important characteristics, such as melanin and iron contents, of the brain. In this talk, I will highlight our work on the methodological development and applications in some of these aspects. The first part will be on the study of brain dynamics with resting-state functional MRI. In this regard, I will describe how we can characterize the brain dynamics with a hidden Markov model, revealing spatiotemporal characteristics of resting state brain, and how to take advantage of the dynamic information in brain segmentation and subject identification. In the second part, I will describe the use of MRI to image brain melanin and iron and their application in the diagnosis of Parkinson’s disease (PD), with the potential for early detection.
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