Enhancement of Interface Characteristics of Neural Probe Based on Graphene, ZnO Nanowires, and Conducting Polymer PEDOT.

In the growing field of brain-machine interface (BMI), the interface between electrodes and neural tissues plays an important role in the recording and stimulation of neural signals. To minimize tissue damage while retaining high sensitivity, a flexible and a smaller electrode with low impedance is required. However, it is a major challenge to reduce electrode size while retaining the conductive characteristics of the electrode. In addition, the mechanical mismatch between stiff electrodes and soft tissues creates damaging reactive tissue responses. Here, we demonstrate a neural probe structure based on graphene, ZnO nanowires, and conducting polymer that provides flexibility and low impedance performance. A hybrid Au and graphene structure was utilized to achieve both flexibility and good conductivity. Using ZnO nanowires to increase the effective surface area drastically decreased the impedance value and enhanced the signal-to-noise ratio (SNR). A poly[3,4-ethylenedioxythiophene] (PEDOT) coating on the neural probe improved the electrical characteristics of the electrode while providing better biocompatibility. In vivo neural signal recordings showed that our neural probe can detect clearer signals.

[1]  S. Cogan Neural stimulation and recording electrodes. , 2008, Annual review of biomedical engineering.

[2]  Christina M. Tringides,et al.  Multifunctional fibers for simultaneous optical, electrical and chemical interrogation of neural circuits in vivo , 2015, Nature Biotechnology.

[3]  Zhong Lin Wang ZnO Nanowire and Nanobelt Platform for Nanotechnology , 2009 .

[4]  V. Vogel,et al.  Stretchable Silver Nanowire Microelectrodes for Combined Mechanical and Electrical Stimulation of Cells , 2016, Advanced healthcare materials.

[5]  David J. Anderson,et al.  Electrochemical deposition and characterization of conducting polymer polypyrrole/PSS on multichannel neural probes , 2001 .

[6]  Mohammad Reza Abidian,et al.  Conducting Polymers for Neural Prosthetic and Neural Interface Applications , 2015, Advanced materials.

[7]  David C. Martin,et al.  Polymerization of the conducting polymer poly(3,4-ethylenedioxythiophene) (PEDOT) around living neural cells. , 2007, Biomaterials.

[8]  Hydrogel‐Mediated Direct Patterning of Conducting Polymer Films with Multiple Surface Chemistries , 2014, Advanced materials.

[9]  R. Flink,et al.  Intraoperative electrocorticography in epilepsy surgery: useful or not? , 2003, Seizure.

[10]  Hargsoon Yoon,et al.  Aligned nanowire growth using lithography-assisted bonding of a polycarbonate template for neural probe electrodes , 2008, Nanotechnology.

[11]  Andrew B. Schwartz,et al.  Brain-Controlled Interfaces: Movement Restoration with Neural Prosthetics , 2006, Neuron.

[12]  Henrik Jörntell,et al.  Nanowire-Based Electrode for Acute In Vivo Neural Recordings in the Brain , 2013, PloS one.

[13]  Dong Hwan Kim,et al.  Ordered surfactant-templated poly(3,4-ethylenedioxythiophene) (PEDOT) conducting polymer on microfabricated neural probes. , 2005, Acta biomaterialia.

[14]  Andre K. Geim,et al.  The rise of graphene. , 2007, Nature materials.

[15]  Jon A. Mukand,et al.  Neuronal ensemble control of prosthetic devices by a human with tetraplegia , 2006, Nature.

[16]  C. N. Lau,et al.  Superior thermal conductivity of single-layer graphene. , 2008, Nano letters.

[17]  P. Tresco,et al.  Response of brain tissue to chronically implanted neural electrodes , 2005, Journal of Neuroscience Methods.

[18]  Christopher J. Tassone,et al.  Structural control of mixed ionic and electronic transport in conducting polymers , 2016, Nature Communications.

[19]  N. Birbaumer,et al.  BCI2000: a general-purpose brain-computer interface (BCI) system , 2004, IEEE Transactions on Biomedical Engineering.

[20]  Gehan A. J. Amaratunga,et al.  A Characterization Study of a Nanowire‐Network Transistor with Various Channel Layers , 2009 .

[21]  Jared P. Ness,et al.  Graphene-based carbon-layered electrode array technology for neural imaging and optogenetic applications , 2014, Nature Communications.

[22]  N. Kotov,et al.  Successful differentiation of mouse neural stem cells on layer-by-layer assembled single-walled carbon nanotube composite. , 2007, Nano letters.

[23]  David C. Martin,et al.  Experimental and theoretical characterization of implantable neural microelectrodes modified with conducting polymer nanotubes. , 2008, Biomaterials.

[24]  Wei Liu,et al.  Conductive single-walled carbon nanotube substrates modulate neuronal growth. , 2009, Nano letters.

[25]  P. Leleux,et al.  Highly Conformable Conducting Polymer Electrodes for In Vivo Recordings , 2011, Advanced materials.

[26]  F. Sesti,et al.  Irreversible blocking of ion channels using functionalized single-walled carbon nanotubes , 2005 .

[27]  C. Yi,et al.  Inhibition of proliferation and differentiation of mesenchymal stem cells by carboxylated carbon nanotubes. , 2010, ACS nano.

[28]  T. Lucas,et al.  Transparent and flexible low noise graphene electrodes for simultaneous electrophysiology and neuroimaging , 2014, Nature Communications.

[29]  H. Morkoç,et al.  A COMPREHENSIVE REVIEW OF ZNO MATERIALS AND DEVICES , 2005 .

[30]  C. Yen,et al.  High Peritoneal KT/V and Peritonitis Rates Are Associated with Peritoneal Calcification , 2013, PloS one.

[31]  Kip A Ludwig,et al.  Interfacing Conducting Polymer Nanotubes with the Central Nervous System: Chronic Neural Recording using Poly(3,4‐ethylenedioxythiophene) Nanotubes , 2009, Advanced materials.

[32]  G. Malliaras,et al.  Organic Bioelectronic Materials and Devices , 2015, Advanced materials.

[33]  Patrick A Tresco,et al.  The brain tissue response to implanted silicon microelectrode arrays is increased when the device is tethered to the skull. , 2007, Journal of biomedical materials research. Part A.

[34]  Christian Bénar,et al.  Organic Electrochemical Transistors for Clinical Applications , 2015, Advanced healthcare materials.

[35]  David C. Martin,et al.  Electrochemical deposition and characterization of poly(3,4-ethylenedioxythiophene) on neural microelectrode arrays , 2003 .

[36]  J. M. Baik,et al.  Highly Single Crystalline IrxRu1–xO2 Mixed Metal Oxide Nanowires , 2012 .

[37]  Lars Montelius,et al.  Gallium phosphide nanowires as a substrate for cultured neurons. , 2007, Nano letters.

[38]  Mohammad Reza Abidian,et al.  Multifunctional Nanobiomaterials for Neural Interfaces , 2009 .

[39]  Jae Eun Jang,et al.  Psychological tactile sensor structure based on piezoelectric nanowire cell arrays , 2015 .

[40]  Alan J. Heeger,et al.  Semiconducting and Metallic Polymers: The Fourth Generation of Polymeric Materials , 2001 .

[41]  J. Kysar,et al.  Measurement of the Elastic Properties and Intrinsic Strength of Monolayer Graphene , 2008, Science.

[42]  M. Shim,et al.  Functionalization of Carbon Nanotubes for Biocompatibility and Biomolecular Recognition , 2002 .

[43]  Peidong Yang,et al.  Interfacing silicon nanowires with mammalian cells. , 2007, Journal of the American Chemical Society.

[44]  A. Ivaska,et al.  Electrochemical impedance spectroscopy of oxidized poly(3,4-ethylenedioxythiophene) film electrodes in aqueous solutions , 2000 .

[45]  T. Gierke,et al.  Ion transport and clustering in nafion perfluorinated membranes , 1983 .

[46]  David C. Martin,et al.  Chronic neural recordings using silicon microelectrode arrays electrochemically deposited with a poly(3,4-ethylenedioxythiophene) (PEDOT) film , 2006, Journal of neural engineering.

[47]  Silvestro Micera,et al.  Electronic dura mater for long-term multimodal neural interfaces , 2015, Science.

[48]  Hongjie Dai,et al.  Neural stimulation with a carbon nanotube microelectrode array. , 2006, Nano letters.

[49]  Chien-Huang Tsai,et al.  The reversibility of ionic transport in PEDOT with application to a complementary electrochromic device , 2014 .

[50]  M. Caironi,et al.  Large Area and Flexible Electronics , 2015 .

[51]  Yong-Young Noh,et al.  Large Area and Flexible Electronics: Caironi/Large Area and Flexible Electronics , 2015 .