Cross-species Studies on Pain-related Brain Responses

Topic: 
Cross-species Studies on Pain-related Brain Responses
Date & Time: 
Friday, November 3, 2017 -
12:00 to 13:00
Speaker: 
Li Hu, Institute of Psychology, CAS
Location: 
Room 385, Geography Building, 3663 Zhongshan Road North, Shanghai

Abstract:
Animal models play a nonnegligible role in the studies of psycho-physiological mechanisms of pain and the development of analgesic drugs. Combining rat models with human studies, we are able to pinpoint the underlying mechanisms of pain processing. In our studies, we applied laser evoked potentials and electroencephalography at cortical level to reveal the similarities and differences of pain-related brain responses between rats and humans. We assessed the feasibility of the translating animal findings to human pain-related physiology and pathology. In addition, we discussed the specificity of the obtained pain-related brain responses based on the optimized rat pain model.

Biography:
Professor Li Hu conducts research in the area of cognitive neuroscience of pain, with particular focus on understanding the psycho-physiological mechanisms of pain. Concerning such a crucial issue of public health, he has contributed to the development of novel techniques to facilitate the analysis of pain-related neural signals (e.g., single-trial analysis and time-frequency analysis). For the last five years, his research focused on exploiting cognitive and neural mechanisms of pain information processing, developing objective pain measurements, and investigating the pathophysiology of chronic pain. He has presided several research projects sponsored by National Natural Science Foundation of China and International Association for the Study of Pain (IASP). To date, he has published more than 60 papers in peer-reviewed journals. From 2015, he became a principal investigator at the Institute of Psychology, Chinese Academy of Sciences.

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Neuroscience Seminar Series by the NYU-ECNU Institute of Brain and Cognitive Science at NYU Shanghai

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