段正仁教授學術專題演講108/12/2

  • 2019-11-25
  • 楊 文敏

國立政治大學統計學系
     
主講人:段正仁教授
                中央大學認知神經科學研究所暨Research Fellow Institute for
                 Neural Computation, University of California, San Diego

題   目:From Model to Practice: How to Apply Mathematical Models to
                Clinical Data Analysis

時   間:民國108122 (星期一) 下午130 
地   點:國立政治大學逸仙樓050101教室
摘    要:
               My expertise and research interest are mainly focused on neuroimaging technologies and their applications in the clinical settings, especially for the neurological diseases, such as the Parkinson’s disease and other types of movement disorders. Recently, my colleagues and I also tried to apply multi-modal neuroimaging technologies to estimate the brain networks established by long-term entrainment from the epileptogenic zone(s). In this talk, I would like to present how the model of independent component analysis (ICA) can be used to decompose the multi-channel stereotaxic electroencephalographic (sEEG) recordings from seizure patients so as to find the underlying sources of the seizure-related brain activity. Then, we can further estimate the connectivity among these brain areas affected by the epileptic activity. Such knowledge may further provide the valuable information for the medical doctors to plan for the resection of the epileptogenic zones.