TRiBS Symposium: Neuroprosthetic Technology

Symposium on Translational 

Research in Brain Stimulation: Neuroprosthetic Technology

Time:9:00AM-16:00PM,

16th October,2018

Venue:Room2001,East main

 building of Guanghua Tower,

Handan campus,

Fudan University

Abstract

Overview of ISTBI

Jianfeng Feng (冯建峰)

Institute of Science and Technology for Brain Inspired Intelligence, Fudan University

The Institute of Science and Technology for Brain-inspired Intelligence (ISTBI), an independent institution in Fudan University, was launched in March 2015. Fudan University is based in Shanghai and one of the leading universities in China. The predecessor of the ISTBI is the Center for Computational Systems Biology, which was founded in 2008 and is one of the first international and interdisciplinary research centers in Fudan University.

The ISTBI covers several fields of research at Fudan University, including applied mathematics, statistics, computer science, informatics and neuroscience. The research carried out at ISTBI is interdisciplinary in nature, with computational neuroscience playing a central role.

At the present time, five core research centers and one international collaboration platform are well established within the ISTBI. Precisely, the ISTBI now includes the Centre for Big Data of Biomedical Science, the Centre for Computational Systems Biology, the Centre for Biomedical Imaging, the Centre for Neural and Intelligent Engineering, the Centre for Brain-Inspired Chip Systems, and the Platform for Translation and Collaboration. It is also undergoing establishment of an enterprise joint laboratory and a number of joint international research and development centers as well.

The ISTBI aims to make world-class contributions in developing algorithms and frameworks for promoting artificial intelligence, intelligent diagnosis of brain diseases, brain-inspired chip systems, and new developments in medicine. The ISTBI will exploit developments in brain science for meeting various demands from industry, and will finally and definitely contribute to innovation and development in intelligence-oriented industry.

The institute has developed the following research platforms:

Key lab "Computational Neuroscience and Brain-inspiredIntelligence",Ministry of Education of China.

"111 Project of Introduction International Talents to Universities",Ministry of Education of China.

"Zhangjiang International Brain Imagine Centre".

"Zhangjiang International Biobank"

Translational Research towards Intelligent Neuromodulation

Shouyan Wang (王守岩)

Institute of Science and Technology for Brain Inspired Intelligence, Fudan University

The deep brain stimulation has been clinically explored for the treatment of neurological and psychiatric diseases over the last ten years, and the number of patients with implantation has dramatically increased in China. However, there are still unmet challenges: the clinical outcomes for many diseases remain unsatisfactory and the mechanisms modulating the human brain are unclear. We are developing the technologies for intelligent, precise and functional neuiomodulation, which includes the neural state theory for deep brain stimulation, research tools integrating artificial intelligence technology, and brain chips for bi-directional communication, etc. We are also building cross-disciplinary research platform including technology development, clinical application, and mechanism exploration. The technologies originated from deep brain stimulation research will be translated into the rehabilitation of spinal cord injury, nerve transfer for spastic arm paralysis, etc.

Soft Bioelectronic Interfaces: Materials, Technology and Applications

Stéphanie P. Lacour 

The EPFL Center for Neuroprosthetics

In the face of aging population and increase of chronic medical conditions, thereis a need for a novel set of biomedical technologies. Medical devices can helpdiagnose, prevent, and treat a variety of these conditions. However, those available for clinical and therapeutical use often follow the “one size fits all” definition. Yet, each individual is different with his/her very own anatomy, physiology and cognition-features that also evolve with age.

In this context, we are exploring novel device materials and their associated technologies to design and manufacture soft bioelectronic interfaces. They arebroadly defined as microfabricated devices, distributed over large-areas, and with mechanical properties suited to comply the soft and dynamic biologicalt issues. We engineer sets of materials that combine mechanical compliance, electrical function, and biocompatibility.We borrow and adjust microfabrication techniques to manipulate and integratethe soft materials into devices. We develop advanced multimodal characterization tools to establish the performanceand reliability of the soft microsystems. Our research is by essence interdisciplinary and offers exciting opportunities, especially in wearable electronics and neuroprosthetic medicine.

Self-powered Medical Electronic 

Devices

Zhou Li (李舟)

Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences

Triboelectric nanogenerators(TENGs) have attracted increasing attention for their efficient energy harvesting and energy conversion from biomechanical motion, including heartbeat, respiratory motion, limb movements and pulse pulsation. The converted electrical energy were succeeded in pulse sensor, cardiac pacemaker, health monitoring, cell andtissue engineering. With their high output performance, outstanding biocompatibility and low cost, TENGs have been studied for powering implantable medical electronic devices.

Towards High-Density Retinal Prosthesis to Restore Vision for the BlindsGuoxing Wang (王国兴)School of Microelectronics, Shanghai Jiaotong University

Artificial Retina is a device aiming to provide vision back to people who unfortunately became blind due to diseases such as Age-related Macular Degeneration and/or Retinitis Pigmentosa. Many scientists,medical doctors, and engineers from different fields have worked together for about two decades and finally a chronic device has been approved to reach the market in 2011. Patients with this device could see large letters and some could even read! Currently, scientists and engineers are working to further improve the perception quality, such as higher density of the stimulating electrodes. In the device, the integrated circuits play a critical role. In this talk, he will talks about the history, achievements and challenges of the design of electronics in retinal prosthesis. Recent progress will be highlighted.

Restoration and Augmentation of Vision in a Mouse Model

Jiayi Zhang (张嘉漪)

Brain Research institute,Fudan University

(1) The restoration of light response with complex spatiotemporal features in retinal degenerative diseases towards retinal prosthesis has proven to be a considerable challenge over the past decades. Herein, inspired by the structure and function of photoreceptors in retinas, we developed artificial photoreceptors based on gold nanoparticle-decorated titania (Au-TiO2) nanowire arrays, for restoration of visual responses in the blind mice with degenerated photoreceptors. Green, blue and near UV light (visible to mouse, insects and birds) responses in the retinal ganglion cells (RGCs) were restored with a spatial resolution approaching or better than 100 µm. Neurons in the primary visual cortex responded to light after subretinal implant of nanowire arrays into blind mice. Improvement in pupillary light reflex suggested the behavioral recovery of light sensitivity. Her study will shed light on the development of a new generation of optoelectronic toolkits for subretinal implants and prosthetic devices.

(2) Most animals on earth can detect the color of their surroundings through their visual system. However, a few animals on earth such as chameleon can utilize the color information of the surrounding to change their skin colors for camouflage. Here, we developed a novel brain-interfaced camouflage system using color-coding signals in the primary visual cortex of mice to drive highly flexible electroluminescence textiles. The textile was made from continuous electroluminescent fibres made by a one-step extruding process. The resulting displaying textile is flexible, stretchable, three-dimensionally twistable, conformable to arbitrarily curved skins and breathable, and can dynamically display a series of desired patterns.

Precision Optogenetic Tool for Neural Circuit Reassembling after Spinal Cord Injury

Yaobo Liu (刘耀波)

Institute of Neuroscience,Soochow University

Re-establishment of the proper connections between post-traumatic axons and neurons are necessary step to achieve functional restoration after spinal cord injury. However, none of the convinced methods had been demonstrated to precisely rebuild these connections in vivo. In his work, glutamate-linked-upconversion nanoparticles (Glu-UCNP) were developed to act as a mediator for facilitating optogenetic control using near-infrared (NIR) light (980nm). In vivo analysis demonstrated the reconnection between activated corticospinal axons and postsynaptic interneurons upon NIR illumination after SCI. The synapse reformation between sprouting corticospinal axons and interneurons also led to a significant improved performance of forelimb pellet-reaching test. Furthermore, the transcriptome sequencing of those activated corticospinal neurons unraveled the potential molecular networks responding to precision optogenetic modulation, presenting the involvement of crucial molecules in regulation of axonal growth and synapse reformation. These evidence indicated the important role of precision optogenetic tool for reassembling the neural network after spinal cord injury.

 

Speaker 

Jianfeng Feng (冯建峰)

Institute of Science and Technology for Brain Inspired Intelligence, Fudan 

University

Jianfeng Feng has been developing new mathematical, statistical and computational theories and methods to meet the challenges raised in neuroscience and mental health researches. Recently, his research interests are mainly in big data analysis and mining for neuroscience and brain diseases. He was awarded the Royal Society Wolfson Research Merit Award in 2011, as a scientist ‘being of great achievements or potentials’. He has made considerable contributions on modelling single neurons and neuronal networks ,machine learning,and causality analysis with publications on Molecular Psychiatry, Brain, PNAS,PRL,J Neuroscience etc. He has proposed and developed BWAS method (Brain-wide association study),and successfully applied it to search the roots indepression, schizophrenia and autism; developed functional entropy method and applied it to the study of ageing, intelligence and creativity etc.

Shouyan Wang (王守岩)

Institute of Science and Technology for Brain Inspired Intelligence, Fudan University

Professor Shouyan Wang received the BSc degree in Biomedical Engineering in 1994, and the Msc and PHD degree in Physiology from the Fourth Military Medical University,Xi’an,China, in 1997 and 2000, respectively. He was a Postdoctoral Research Fellow in the Neurosurgery Department of JR Hospital and Department of Physiology, Anatomy and Genetics at University of Oxford from 2002 to 2007. He worked as a Lecturer in the institute of Sound and Vibration Research at University of Southampton from 2007 to 2012. He became a Professor at Suzhou Institute of Biomedical Engineering and Technology of Chinese Academy of Sciences, and the Directors of the Biomedical Electronics Department, Key Labof Neural Engineering and Technology at Suzhou from 2012 to 2017. He joined Fudan University in 2017 and has been the Director of Neural and Intelligent Engineering Centre at ISTBI.

His esearch focuses on the intelligent neuromodulation of deep brain stimulation for neurological diseases,including identification of biomarkers from human deep brain local field potentials,technology development of miniaturized adaptive electrical or optical stimulator, and monitoring of motor or sensory behaviors with wearables devices. Professor Shouyan Wang works toward integrating engineering, neuroscience, neurology and neurosurgery to advance the translational research from deep brain stimulation technology to clinical treatment of neurological diseases.

Stéphanie P. Lacour

Professor Stéphanie P. Lacour holds the Bertarelli Foundation Chair in NeuroprostheticTechnology at the School of Engineering at the Ecole Polytechnique Fédérale de Lausanne. She received her PhD in Electrical Engineering from INSA de Lyon,France, and completed postdoctoral research at Princeton University (USA) and the University of Cambridge (UK).  She joined EPFL in 2011. Since January 2017, she is full professor in Microengineering and Bioengineering at EPFL. She is a co-founding member and current director of EPFL Center for Neuroprosthetics, now located at EPFL satellite–Campus Biotech in Geneva.She is the recipient of the 2006 MIT TR35, the 2011 Zonta award, the 2014 WEF Young Scientist, and she was selected as one of the 2015 World Economic Forum Young Global Leaders.
Center for Neuroprosthetics CNPIn partnership with the Bertarelli Foundation, the Defitech Foundation, the International Foundation for Paraplegia Research and Medtronic, the Ecole Polytechnique Fédérale de Lausanne (EPFL) is creating a large world-class Center for Neuroprosthetics. With ever progressing advances in biotechnology, microelectronics, and neural implants as well as unprecedented advances in our understanding of the brain and spinal cord, the Center’s mission is to define and establish a truly interdisciplinary area of study, merging neuroscience with engineering and medicine, and efficiently translating major breakthroughs from bioengineering and neuroscience to viable clinic applications.(https://cnp.epfl.ch/home)

Jiayi Zhang (张嘉漪)

Brain Research institute,

Fudan University

Dr.Jiayi Zhang received her B.Sc.Degree in physics from Hong Kong Baptist University in 2003 and Ph.D.degree from Brown University in 2009.  From 2009 to 2011, she was a Brown-Coxe postdoctoral research associate in the Department of Neurobiology in Yale University. She joined Institutes of Brain Science at Fudan University in 2012.Her recent work focused on the function, restoration and device-interface of vision. Her research is supported by 1000-plan young scholar and Excellent-Young-Investigator grant from NSFC.

Zhou Li (李舟)

Beijing Institute of

 Nanoenergy and Nanosystems, 

Chinese Academy of Sciences

Prof. Zhou Li received his Ph.D. from Peking University in 2010, and bachelor degree from Wuhan University in 2004. He jointed School of Biological Science and Medical Engineering of Beihang University in 2010 as an associate Professor.Currently, he is a Professor in Beijing Istitute of Nanoenergy and Nanosystems,and School of Nanoscience and Technology, University of Chinese Academy of Sciences. Prof. Zhou Li’s research interest focused on the self-powered medical system, implantable energy harvesting devices and single cell mechanics, including nano-biosensors and nanogenerators. More than 50 peer-review articles have been published in Sci.Adv., Nature Comm., Adv. Mater.,NanoLett., ACS Nano, Nano Energy, Annual Review of Biomedical Engineering, Smalland Advanced Science. And his papers have been cited more than 2200 times. Prof. Li applied 46 patents,4 PCTs and 1 International Patent.10 of them have been authorized. Prof.Li have been awarded Science and Technology Award of Beijing(2017),International Federation for Medical and Biological Engineering (IFMBE) “Young Investigator’s Award” and Gold Award of China Association of Inventions. His work was highlighted by Nature magazine, CCTV, Xinhua net and other international mediums.He was selected to be supported by the National Youth Talent Support Program,New Century Excellent Talents of Ministry of Education of China, Beijing NovoProgram and Beijing Top-notch Talent.

Yaobo Liu (刘耀波)

Institute of Neuroscience, Soochow University

Professor Yaobo Liu. Professor of Neuroscience. Distinguished professor at Soochow University. Principal Investigator of the Laboratory of Neural Circuits Development and Repair, Institute of Neuroscience, Soochow University. Liu Labtries to explore the molecular signals in regulation of axonal regeneration and find the drugable targets, and also to explore mechanisms of the neural coding in neural circuit re-establishment and relevant advanced techniques to achieveit after spinal cord injury. Dr. Liu published papers in decent journals including Nat Neurosci, J Neurosci, Cell Res and EMBO J etc.These research contributed to understand the molecular signals in regulation of axonal extension and regeneration. Now Dr. Liu also works on the mechanisms underlying neural coding in neural circuit re-establishment after SCI.

Guoxing Wang (王国兴)

School of Microelectronics, Shanghai Jiaotong University

Guoxing Wang received his Ph.D. degree in electrical engineering from University of California at SantaCruz, US, in 2006. He was a Member Technical Staff in Agere Systems from 2006 to 2007, San Jose, California. In 2007-2009, he joined Second Sight Medical Products, Sylmar California, where he designed the integrated circuits chip that went into the eyes of the patients to restore vision. Currently, he holds an Associate Professor in School of Microelectronics, Shanghai Jiaotong University, Shanghai, China. His current research interests include biomedical electronics and human machine interactions.

Dr. Wang is currently a senior member of IEEE, and a member of the IEEE Biomedical Circuits Systems Technical Committee(BioCAS). He served as an Associate Editor for IEEE Transactions on Circuits and Systems II, Guest Editor for IEEE Journal on Emerging and Selected Topics in Circuits and Systems (JETCAS) and Guest Editor for IEEE Transactions on Biomedical Circuits and Systems. He was the local chair for the first IEEE Green Circuits and Systems (ICGCS) and for the second Asia Pacific Conferenceon Postgraduate Research in Microelectronics & Electronics (PrimeAsia). He was the Chair of IEEE Conference on Biomedical Circuits and Systems 2016.Currently he serves as the Deputy Editor-in-Chief for IEEE Transactions on Biomedical Circuits and Systems.

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