Creating innovative bio-convergent technologies for better human life

Neural Engineering Laboratory
Nam, Yoonkey

Associate Professor


Neur al Engineering Labor at ory is dedicated to solve problems in growing live neurons on a chip. We are interested in understanding and controlling in vitro neural interfaces. The knowledge gained will be translated to solve neural interface problems, for basic neuroscience research, drug testing, and eventually for application to neural prosthetic devices for human. A visionary question that we use to guide the research is “Can we build a biological neural networks in a dish?”. Success in this endeavor implies that we can interface neural networks reliably with a readout platform (e.g. microelectrode arrays), design neural networks by controlling individual neurons (e.g. axonal growth), and stimulate neural networks to control network functions (e.g. excitation or inhibition). Our research goal is to establish a set of enabling technologies that we name ‘Neuron-on- a-Chip technology’.

‘Brain-on-a-Chip’ is the name given to the related and emerging multidisciplinary field that is revolutionizing how neuroscientists study structure and function of neural circuits. The essence of the Brain-on-a-Chip is to obtain functional brain models and interface them to read neural signals and deliver various stimuli to the model. My Neuron-on-a-Chip technology could provide important breakthrough in this new field. Eventually, we will be able to engineer a brain model that would serve for both understanding brain functions and treating brain disorders.

There are several key areas that are related to the design and analysis of Neuron-on-a-Chip:



1) MEA technology: Electrical neural interface platform
We design an integrated planar microelectrode array (MEA) system that can be used to study neurobiology and neurophysiology. 8-inch glass wafer processes are used to fabricate MEAs through National Nanofabrication Center. We have been focusing on fabricating novel metal nanostructured microelectrodes for neural recording and electrical stimulation. As a result, we developed two different gold nanostructured microelectrodes including nano-flake

microelectrodes and nano-grain microelectrodes [1]. Recently, we developed a plantinum-black MEAs with improved mechanical stability using polydopamine-platinum black nanocomposite structures [2].


2) Neuronal patterning: Micro- and nano-chips for controlling axonal growth
The basic understanding of neuronal gro wth on artificial nano/ microenvironments is important for Brain-on-a-Chip technology. We are interested in discovering new physical and chemical guidance cues that lead to axon guidance and directed neuronal growth. We study neuronal development and growth in defined surface chemical cues or topographical cues. We have been investigating neuronal growth on surface-bound micropatterns (micropolygons [3], micro-dot arrays [4, 5], micro-stripes [6, 7]) nano-topographical substrates (nanobeads, anodized alunimium oxides, silicon nanowires [8]).

3) Biofunctionalization: Chemical surface modification approach for interfacing neurons
In order to grow neurons in vitro, we design the cell-surface interface using chemical functionalization approaches. In addition, we are actively searching for a simple and effective cell-adhesive or -repellent substrates. We also developed an agarose hydrogel patterning method using a micro-molding in capillary technique to design ordered neuronal networks on microelectrode arrays. We have pioneered in using a mussel-inspired polymer coating (‘polydopamine’) in MEA for covalently linking cell-adhesive biomolecules on metal and insulator through dip-coating [9] or electrochemical deposition [10].


4) Neurophotonics: Controlling neural activity by light and heat
We use nano-transducers (e.g. gold nanorods) to design neuro-photonic interfaces for controlling neural spiking activity. We showed, for the first time, that photothermal conversion induces reversible inhibition of spiking activity for more than tens of minutes. We showed that the inhibition occurred at the single cell and single action potential levels, and that the mechanism for the inhibition was through the temperature-sensitive potassium channel, TREK-1, which operates at elevated temperature range. [11] We also came up with an electro-optical MEA platform that integrated gold nanorods with a microelectrode array. [12] Compared to optogenetic stimulation methods, our method does not require genetic modification giving it strong advantages for potential clinical applications. We hope to extend this new inhibition method to the treatment of abnormal brain diseases such as epilepsy by regulating hyperactive neural activity.


5) Multichannel neural information processing and analysis
We are interested in the relation between network structures and information processing in neuronal network. Microelectrode array and optical imaging are two major platforms to access multiple neurons simultaneously. Recently, we have developed a large-scale optophysiological data processing software (‘NeuroCa’) that can efficiently handle a big data problem in neuroinformatics. [13]


A micro-pattern of ‘KAIST’ formed by rat neurons

Key Achievements
  • 1. Raeyoung Kim, Yoonkey Nam, “Electrochemical layer-by-layer approach to fabricate mechanically stable platinum black microelectrodes using a mussel-inspired polydopamine adhesive,” J Neural Eng., Vol. 12, No. 2 (2015)
  • 2. Min Jee Jang and Yoonkey Nam, “Geometric effect of cell adhesive polygonal micropatterns on neuritogenesis and axon guidance,” J Neural Eng., Vol. 9, pp. 046019 (2012)
  • 3. Woon Ryoung Kim, Min Jee Jang, Sunghoon Joo, Woong Sun, Yoonkey Nam, “Surface-printed microdot array chips for the quantification of axonal collateral branching of a single neuron in vitro,” Lab Chip, Vol 14, No. 4, pp. 799-805 (2014)
  • 4. Ryu, JR, Jang, MJ, Jo, Y, Joo, S, Lee, DH, Lee, BY, Nam, Y, Sun, W, “Synaptic compartmentalization by micropatterned masking of a surface adhesive cue in cultured neurons”, BIOMATERIALS, vol.92, pp.46~56, (2016)
  • 5. Sunghoon Joo, Joo Yeon Kim, Eunsoo Lee, Nari Hong, Woong Sun, Yoonkey Nam, “Effects of ECM protein micropatterns on the migration and differentiation of adult neural stem cells,” Scientific Rep., Vol 12, No. 5, pp. 13043 (2015)
  • 6. Sunghoon Joo, Kyungtae Kang, Yoonkey Nam, “In vitro neurite guidance effects induced by polylysine pin-stripe micropatterns with polylysine background,” J Biomed Mater Res A, Vol 103, No. 8, pp. 2731-9 (2015)
  • 7. Kang, K, Park, YS, Park, M, Jang, MJ, Kim, SM, Lee, J, Choi, JY, Jung, DH, Chang, YT, Yoon, MH, Lee, JS, Nam, Y, Choi, IS, “Axon-First Neuritogenesis on Vertical Nanowires”, NANO LETTERS, vol.16, no.1, pp.675~680, (2016)
  • 8. Kang, K, Choi, IS, Nam, Y, "A biofunctionalization scheme for neural interfaces using polydopamine polymer," Biomaterials, vol. 32, pp. 6374-80 (2011).
  • 9. Kang, K, Lee, S, Kim, R, Choi, IS, Nam, Y, “Electrochemically driven, electrode-addressable formation of functionalized polydopamine films for neural interfaces,” Angew Chem Int Ed Engl, vol. 51, pp. 13101-4 (2012)
  • 10. Sangjin Yoo, Soonwoo Hong, Yeonho Choi, Ji Ho Park, and Yoonkey Nam, “Photothermal Inhibition of Neural Activity with Near-Infrared-Sensitive Nanotransducers,” ACS Nano, Vol 8, No. 8, pp 8040-9 (2014)
  • 11. Sangjin Yoo, Raeyoung Kim, Ji Ho Park, Yoonkey Nam, “Electro-optical Neural Platform Integrated with Nanoplasmonic Inhibition Interface,” ACS Nano Vol 10, No. 4, pp 4274-81 (2016)
  • 12. Min Jee Jang and Yoonkey Nam, “NeuroCa: Integrated framework for systematic analysis of spatio-temporal neuronal activity patterns from large-scale optical recording data,” Neurophotonics, Vol 2, No. 3, pp. 035003 (2015)

Achievement In This Year

  • 1. Hong, N, Joo S, Nam, Y, “"Characterization of axonal spikes in cultured neuronal networks using microelectrode arrays and micro channel devices”, IEEE Trans. Biomed Eng, vol. 64, no. 2, pp. 492 – 98 (2017).
  • 2. Kang, H, Kim, JY, Choi YK, Nam, Y, “Feasibility Study of Extended-gate Type Silicon Nanowire Field-Effect Transistors for Neural Recording” Sensors, vol. 17, no. 4, pp.705 (2017)
  • 3. Jung, H, Kang H, Nam, Y, “Digital Micromirror based Near-infrared Illumination System for Plasmonic Photothermal Neuromodulation”, Biomedical Optics Express, vol. 8, no. 6, pp. 2866-78 (2017)