[ISSUE CoM]Academic Presentation by Prof. Xu-Jun Peng: Research on Brain Electrophysiology and Neuroimaging of Epilepsy and Ischemic Stroke

Prof. Syu-Jyun Peng was employed by Taipei Medical University (TMU) in 2019 as a full-time assistant professor in the Professional Master Program in Artificial Intelligence in Medicine of the College of Medicine.

Peng’s main research outcomes for the year 2020 involve the following: callosotomy, as a vital surgical treatment for children with refractory epilepsy, the purpose of which is to block the direct connection of the two halves of the brain, in order to lessen the frequency of grand mal seizure and children’s injury due to severe seizure. However, the functional connection of the two halves of the brain is closely associated with movement control and cognitive functions. In the present research, the team tracked 8 children’s functions before and after corpus callosotomy surgery, and found that after the surgery, obvious recovery was seen in less than a year, though the binary functional connection of the brain was affected by the operation. (Right: In February 2020, Prof. Syu-Jyun Peng was awarded the gold medal for “The 19th International Expo on Inventions & Innovations” in the MTE Malaysia Expo. The picture was taken at 2018 IIDC Hong Kong.)

It was generally considered that after corpus callosotomy, it takes the children many years to recover the functional connection between their two sides of the brain. But the present research has found that after the surgery, though the binary functional connection of the brain has been affected, obvious recovery was seen in less than a year. However, due to the lack of samples, we have not ascertained the relation between the recovery of the right and left brain halves and the progress of cognitive functions, or the prognosis after treatment. This is the direction to work toward next.

Presently, corpus callosotomy does not include anterior commissure incision. Theoretically, combining corpus callosotomy with anterior commissurotomy could achieve better control of refractory epilepsy; but it does greater damage to the functional connection between both halves of the brain. We hope by researching into the effect of anterior commissure on the connection of the binary halves of the brain, the method can be identified as to screening which children need more aggressive corpus callosotomy and anterior commissurotomy combined surgery, and which ones only need corpus callosotomy surgery.(Sheng-Che Hung, Cheng-Chia Lee, Hsin-Hung Chen, Chien Chen, Hsiu-Mei Wu, Ching-Po Lin, Syu-Jyun Peng*, “Early recovery of interhemispheric Functional connectivity of Corpus Callosotomy,” Epilepsia, 2019 Jun;60(6):1126-1136.)

Prof. Peng has been devoted to researches on brain electrophysiology and neuroimaging of epilepsy and ischemic stroke. In the recent 5 years, he has been awarded 9 R.O.C. patents, 5 US patents and 1 Japanese patent. Peng has been the director of 5 projects by the Ministry of Science and Technology (MOST), and co-director of over 20 projects by MOST. Peng was granted research funds from the 2020 IACE (Industry-Academic Catalyst E-platform) Project and MOST Germination Program (Phase 0) under the TMU SPARK merchandising counseling. He also published 14 papers on SCI journals, presented 12 papers in prominent international conferences of the focus field. He has been invited to speak in domestic medical centers, universities, and organizations like Epilepsy Center at Yuquan Hospital, Tsinghua University, Beijing more than 30 times, and has actively involved in events held by Taiwan Neurological Society and Taiwan Society of Medical Imaging and Radiological Sciences. In the recent 5 years, he has been shortlisted over 60 times in Young Scholars Dissertation Awards, Outstanding Research Paper Award, and Invention and Innovation Award, etc. He has been a director of Taiwan Society of Medical Imaging and Radiological Sciences, and was formerly employed by Taipei Veterans General Hospital, Landseed International Hospital, and was a research consultant and advisory member to the division of neurology at Chung Shan Medical University Hospital, where he assisted doctors clinically in cross-disciplinary neuroimaging and electrophysiology, and developed multi-module smart diagnosis aid and researched on auto-detection of signs of disease.

The director of the present project is Prof. Syu-Jyun Peng, collaborating with director of the Pediatrics Department at Taipei Medical University Hospital (TMUH) Min-Lan Tsai and Taipei Veterans General Hospital.

Prof. Syu-Jyun Peng
​Professional Master Program in Artificial Intelligence in Medicine
Research Interests:
Neuroimaging Processing and Analysis (Epilepsy, Ischemic Stroke)
Artificial Intelligence in Medicine
Neurophysiology Analytics
Email: sjpeng2019@tmu.edu.tw


Dr. Min-Lan Tsai
Taipei Medical University Hospital
Research Interests:
Neuroelectrophysiology in epilepsy and related diseases
Animal models and mechanism of epilepsy and febrile seizures
Cognitive and behavior change in children with epilepsy and febrile seizures
Intraoperative monitoring and long-term video EEG monitoring
Email: minlan456@tmu.edu.tw


Taipei Medical University is progressing vigorously in the development of medical imaging. Besides faculty members of the Professional Master Program in Artificial Intelligence, under the government’s foresight in actively implementing applications of medical imaging big data and artificial intelligence in medicine, a school-level team of Taipei Medical University has integrated three affiliated hospitals: Departments of Radiology of Taipei Medical University Hospital, Shuang Ho Hospital, and Taipei Municipal Wanfang Hospital (hereafter as the three hospitals), along with Taipei Medical University’s professionals in the fields of medical information, image analysis, databank management and big data analysis, which, joined by the AI team of National Taiwan University of Science and Technology, have formed a cross-disciplinary research team of medical imaging big data, and established the TMU Center for Big Data and Artificial Intelligence in Medical Imaging.

In view of the continuing development of the TMU system’s big databank (clinical data, images and genes) and the imaging research focus of the three hospitals: lung cancer, cerebral small vessel disease, and coronary artery disease, an AI platform of clinically critical medical application is developed. Furthermore, based on the TMU system’s experience and regulations in big databank operation, assistance is rendered to the National Center for High-Performance Computing in perfecting the establishment of a medical imaging databank, to facilitate sharing of information and ultimately promoting the development of related medical and industrial applications.

Prof. Cheng-Yu Chen
Department of Radiology, School of Medicine
Research Interests:
Expertise: Neuroanatomy, Neuroimaging, Functional Magnetic Resonance Imaging, Nervous system diseases image biomarkers, Advanced neuro MR Imaging, Radiogenomics, MR molecular imaging.
Topic: Brain Tumor, Stroke, Mild Traumatic Brain Injury, Alzheimer, Drug dependence, Toxic encephalopathy.
Email: sandychen@tmu.edu.tw


Dr. Gong-Yau Lan
Department of Radiology, School of Medicine
Research Interests:
Lung cancer Research
Email: langongyau@yahoo.com.tw



Prof. Wing P. Chan
Department of Radiology, School of Medicine
Research Interests:
Musculoskeletal Imaging
Spine Imaging
Oncologic Imaging
Email: wingchan@tmu.edu.tw


Dr. Yueh-Hsun Lu
Taipei Medical University Shuang Ho Hospital
Email: ataru.lu@gmail.com





Dr. David Carroll Chen
Department of Radiology, School of Medicine
Email: shh10443@tmu.edu.tw