深圳大学西丽校区

学术讲座

【医学部】学术讲座--Neuroimaging Data Processing, Analysis

2019年04月08日

题  目:Neuroimaging Data Processing, Analysis, and  Classification

主讲嘉宾:李俊华 研究员 (University of Essex)

时  间:201948 周一 下午15:00-16:00

    地  点:深圳大学西丽校区A2-517

    主 持 人:黄淦 助理教授,副研究员

 

报告内容简介:

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.

 

报告嘉宾简介:

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.