深醫講座論壇

【醫學部學術講座】--Neuroimaging Data Processing, Analysis, and Classification

文章來源: 作者: 發布時間:2019年04月08日 點擊數: 字體:

主講嘉賓:李俊華 研究員 (University of Essex)

時  間:2019年4月8日 周一 下午15:00-16:00

地  點:深圳大學西麗校區A2-517

主 持?人:黃淦 助理教授,副研究員

報告內容簡介:

EEG and fMRI data were prevalently utilized to explore brain functions pertaining to particular mental states or psychiatric diseases. In this presentation, I will report a few experiments looking insights into brain related to the above two aspects. Methods and results will be shown along with the demonstrations of experiments as videos. Functional connectivity will be focused in this presentation. Specifically, I will show how functional connectivity changes with the progression of fatigue, how functional connectivity alters at the different levels of workload, what the different inter-regional organizations are under different walking conditions with and without an exoskeleton. The findings derived from the above studies were used to guide the feature extraction to facilitate the decoding of brain states. In addition, I will also present our proposed methodology which characterizes the dynamic functional connectivity in both low-order and high-order functional connectivity.

報告嘉賓簡介:

Junhua Li currently is a senior research fellow at the National University of Singapore and University of Essex Lecturer. Given his background of computer science and computational neuroscience, he focuses on the researches of brain computer interface, neurophysiological signal processing, and neuroimaging data analytics by means of machine learning techniques. He is working on estimation and recognition of mental states (e.g., workload), investigation of neural machenisms pertaining to brain diseases and aging, and pattern recognition for assistant diagnosis.

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