Time slot's time in Taipei (GMT+8)
2025/11/21 14:00-17:30 Room 201 DEF
- Kick-on Seminar VIII
Neuromodulation: The mechanism work behind the promising clinical practice
- Time
- Topic
- Speaker
- Moderator
- 16:30-17:00
- Neuromodulation in stroke: The tailored rTMS strategy for rehabilitation
- Speaker:
Yu-Cheng Pei
(Taiwan)
- Moderator:
Jean-Lon Chen
(Taiwan)
- Jean-Lon Chen
- MD. PhD
-
Deputy Director, The Department of Rehabilitation, Chang Gung Memorial Hospital
Associate Professor, School of Medicine, Chang Gung University
E-mail：chenmac@cgmh.org.tw
Executive Summary：
Jean-Lon Chen M. D. Ph. D. was born in Taiwan, in 1971. He received the B. S. degree in Medicine from the China Medical University, Taiwan, in 1996 and the Ph. D. degree in psychology from the Goldsmiths College, University of London, in 2013.
Since 2022, he has been an Attending Physician and Academic Associate Professor in the Department of Physical Medicine and Rehabilitation of the Chang Gung Memorial Hospital. He also has been an Associate Professor with the Medical Department of Chang Gung University, since 2022. He has published more than 30 articles. His research interests include independent component analysis (ICA), EEG and event related potentials (ERPs), resting state networks (RSNs) and functional connectivity, neurofeedback training (NFT), stroke and traumatic brain injury, brain mapping and motor control, virtual reality, gerontology, acupuncture and repetitive TMS applications.
Jean-Lon Chen M. D. Ph. D. was born in Taiwan, in 1971. He received the B. S. degree in Medicine from the China Medical University, Taiwan, in 1996 and the Ph. D. degree in psychology from the Goldsmiths College, University of London, in 2013.
Since 2022, he has been an Attending Physician and Academic Associate Professor in the Department of Physical Medicine and Rehabilitation of the Chang Gung Memorial Hospital. He also has been an Associate Professor with the Medical Department of Chang Gung University, since 2022. He has published more than 30 articles. His research interests include independent component analysis (ICA), EEG and event related potentials (ERPs), resting state networks (RSNs) and functional connectivity, neurofeedback training (NFT), stroke and traumatic brain injury, brain mapping and motor control, virtual reality, gerontology, acupuncture and repetitive TMS applications.
