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TIGP (SNHCC) -- MR Neuroimaging Techniques in Clinical Neurological Diseases and Cognitive Neuroscience Applications

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TIGP (SNHCC) -- MR Neuroimaging Techniques in Clinical Neurological Diseases and Cognitive Neuroscience Applications

  • 講者郭立威 博士 (國家衛生研究院 生醫工程與奈米醫學研究所)
    邀請人:TIGP (SNHCC)
  • 時間2022-12-05 (Mon.) 14:00 – 16:00
  • 地點資訊所新館106演講廳
摘要
During the past decade, mapping complex structural and functional networks in the living human brain using non-invasive neuroimaging technologies has been widely developed and employed in a variety of cognitive and clinical neuroscience research. Among all modern neuroimaging technologies, magnetic resonance imaging (MRI) has been considered as one of the most reliable and reproducible neuroimaging modalities for exploring the complex brain networks with adequate spatial and temporal resolutions. In this talk, I will introduce how we employ advanced MR neuroimaging techniques to map the brain connectivity and investigate the complex brain networks through graph theoretical analysis and computational algorithms. The applications on neurological diseases and cognitive neuroscience will also be introduced and discussed.
BIO
Dr. Li-Wei Kuo received his B.S., M.S, and Ph.D. degrees from Department of Electrical Engineering of National Taiwan University in 2001, 2003, and 2008, respectively. He conducted his postdoctoral researches in the Center for Optoelectronic Biomedicine at National Taiwan University College of Medicine and the Advanced MRI section at the Laboratory of Functional and Molecular Imaging in National Institute of Neurological Disorders and Stroke at National Institutes of Health in 2009 and 2010, respectively. Since September 2011, he has joined the Division of Medical Engineering Research (currently Institute of Biomedical Engineering and Nanomedicine, I-BEN) at National Health Research Institutes (NHRI). He is currently the Associate Investigator at I-BEN, NHRI, and leads the MR NeuroImaging Lab. His research interests include the development of MRI systems, MR neuroimaging techniques, and exploration of brain networks.