Neural Microelectrodes Design and Applications Joseph J. Pancrazio and Stuart F. Cogan www.mdpi.com/journal/micromachines Edited by Printed Edition of the Special Issue Published in Micromachines Neural Microelectrodes Neural Microelectrodes: Design and Applications Special Issue Editors Joseph J. Pancrazio Stuart F. Cogan MDPI • Basel • Beijing • Wuhan • Barcelona • Belgrade Special Issue Editors Joseph J. Pancrazio University of Texas at Dallas USA Stuart F. Cogan University of Texas at Dallas USA Editorial Office MDPI St. Alban-Anlage 66 4052 Basel, Switzerland This is a reprint of articles from the Special Issue published online in the open access journal Micromachines (ISSN 2072-666X) from 2018 to 2019 (available at: https://www.mdpi.com/journal/ micromachines/special issues/neural microelectrodes) For citation purposes, cite each article independently as indicated on the article page online and as indicated below: LastName, A.A.; LastName, B.B.; LastName, C.C. Article Title. Journal Name Year , Article Number , Page Range. ISBN 978-3-03921- 319-1 (Pbk) ISBN 978-3-03921- 320-7 (PDF) Cover image courtesy of Stuart F. Cogan. c © 2019 by the authors. Articles in this book are Open Access and distributed under the Creative Commons Attribution (CC BY) license, which allows users to download, copy and build upon published articles, as long as the author and publisher are properly credited, which ensures maximum dissemination and a wider impact of our publications. The book as a whole is distributed by MDPI under the terms and conditions of the Creative Commons license CC BY-NC-ND. Contents About the Special Issue Editors . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ix Joseph J. Pancrazio and Stuart F. Cogan Editorial for the Special Issue on Neural Electrodes: Design and Applications Reprinted from: Micromachines 2019 , 10 , 466, doi:10.3390/mi10070466 . . . . . . . . . . . . . . . . 1 Andrew Campbell and Chengyuan Wu Chronically Implanted Intracranial Electrodes: Tissue Reaction and Electrical Changes Reprinted from: Micromachines 2018 , 9 , 430, doi:10.3390/mi9090430 . . . . . . . . . . . . . . . . . 7 Allison M. Stiller, Bryan J. Black, Christopher Kung, Aashika Ashok, Stuart F. Cogan, Victor D. Varner and Joseph J. Pancrazio A Meta-Analysis of Intracortical Device Stiffness and Its Correlation with Histological Outcomes Reprinted from: Micromachines 2018 , 9 , 443, doi:10.3390/mi9090443 . . . . . . . . . . . . . . . . . 21 Allison Hess-Dunning and Dustin J. Tyler A Mechanically-Adaptive Polymer Nanocomposite-Based Intracortical Probe and Package for Chronic Neural Recording Reprinted from: Micromachines 2018 , 9 , 583, doi:10.3390/mi9110583 . . . . . . . . . . . . . . . . . 30 Felix Deku, Christopher L. Frewin, Allison Stiller, Yarden Cohen, Saher Aqeel, Alexandra Joshi-Imre, Bryan Black, Timothy J. Gardner, Joseph J. Pancrazio and Stuart F. Cogan Amorphous Silicon Carbide Platform for Next Generation Penetrating Neural Interface Designs Reprinted from: Micromachines 2018 , 9 , 480, doi:10.3390/mi9100480 . . . . . . . . . . . . . . . . . 46 Allison M. Stiller, Joshua Usoro, Christopher L. Frewin, Vindhya R. Danda, Melanie Ecker, Alexandra Joshi-Imre, Kate C. Musselman, Walter Voit, Romil Modi, Joseph J. Pancrazio and Bryan J. Black Chronic Intracortical Recording and Electrochemical Stability of Thiol-ene/Acrylate Shape Memory Polymer Electrode Arrays Reprinted from: Micromachines 2018 , 9 , 500, doi:10.3390/mi9100500 . . . . . . . . . . . . . . . . . 60 Andrew J. Shoffstall, Melanie Ecker, Vindhya Danda, Alexandra Joshi-Imre, Allison Stiller, Marina Yu, Jennifer E. Paiz, Elizabeth Mancuso, Hillary W. Bedell, Walter E. Voit, Joseph J. Pancrazio and Jeffrey R. Capadona Characterization of the Neuroinflammatory Response to Thiol-ene Shape Memory Polymer Coated Intracortical Microelectrodes Reprinted from: Micromachines 2018 , 9 , 486, doi:10.3390/mi9100486 . . . . . . . . . . . . . . . . . 74 Rashed T. Rihani, Hyun Kim, Bryan J. Black, Rahul Atmaramani, Mohand O. Saed, Joseph J. Pancrazio and Taylor H. Ware Liquid Crystal Elastomer-Based Microelectrode Array for In Vitro Neuronal Recordings Reprinted from: Micromachines 2018 , 9 , 416, doi:10.3390/mi9080416 . . . . . . . . . . . . . . . . . 92 Dries Kil, Marta Bovet Carmona, Frederik Ceyssens, Marjolijn Deprez, Luigi Brancato, Bart Nuttin, Detlef Balschun and Robert Puers Dextran as a Resorbable Coating Material for Flexible Neural Probes Reprinted from: Micromachines 2019 , 10 , 61, doi:10.3390/mi10010061 . . . . . . . . . . . . . . . . 104 v Evans K. Bernardin, Christopher L. Frewin, Richard Everly, Jawad Ul Hassan and Stephen E. Saddow Demonstration of a Robust All-Silicon-Carbide Intracortical Neural Interface Reprinted from: Micromachines 2018 , 9 , 412, doi:10.3390/mi9080412 . . . . . . . . . . . . . . . . . 119 Arati Sridharan, Sanchit Chirania, Bruce C. Towe and Jit Muthuswamy Remote Stimulation of Sciatic Nerve Using Cuff Electrodes and Implanted Diodes Reprinted from: Micromachines 2018 , 9 , 595, doi:10.3390/mi9110595 . . . . . . . . . . . . . . . . . 137 Malgorzata M. Straka, Benjamin Shafer, Srikanth Vasudevan, Cristin Welle and Loren Rieth Characterizing Longitudinal Changes in the Impedance Spectra of In-Vivo Peripheral Nerve Electrodes Reprinted from: Micromachines 2018 , 9 , 587, doi:10.3390/mi9110587 . . . . . . . . . . . . . . . . . 155 Danesh Ashouri Vajari, Maria Vomero, Johannes B. Erhardt, Ali Sadr, Juan S. Ordonez, Volker A. Coenen and Thomas Stieglitz Integrity Assessment of a Hybrid DBS Probe that Enables Neurotransmitter Detection Simultaneously to Electrical Stimulation and Recording Reprinted from: Micromachines 2018 , 9 , 510, doi:10.3390/mi9100510 . . . . . . . . . . . . . . . . . 176 Evan N. Nicolai, Nicholas J. Michelson, Megan L. Settell, Seth A. Hara, James K. Trevathan, Anders J. Asp, Kaylene C. Stocking, J. Luis Lujan, Takashi D.Y. Kozai and Kip A. Ludwig Design Choices for Next-Generation Neurotechnology Can Impact Motion Artifact in Electrophysiological and Fast-Scan Cyclic Voltammetry Measurements Reprinted from: Micromachines 2018 , 9 , 494, doi:10.3390/mi9100494 . . . . . . . . . . . . . . . . . 191 Mohit Sharma, Avery Tye Gardner, Hunter J. Strathman, David J. Warren, Jason Silver and Ross M. Walker Acquisition of Neural Action Potentials Using Rapid Multiplexing Directly at the Electrodes Reprinted from: Micromachines 2018 , 9 , 477, doi:10.3390/mi9100477 . . . . . . . . . . . . . . . . . 209 Jian Xu, Hongsun Guo, Anh Tuan Nguyen, Hubert Lim and Zhi Yang A Bidirectional Neuromodulation Technology for Nerve Recording and Stimulation Reprinted from: Micromachines 2018 , 9 , 538, doi:10.3390/mi9110538 . . . . . . . . . . . . . . . . . 231 S. Beatriz Goncalves, Jos ́ e M. Palha, Helena C. Fernandes, M ́ arcio R. Souto, Sara Pimenta, Tao Dong, Zhaochu Yang, Jo ̃ ao F. Ribeiro and Jos ́ e H. Correia LED Optrode with Integrated Temperature Sensing for Optogenetics Reprinted from: Micromachines 2018 , 9 , 473, doi:10.3390/mi9090473 . . . . . . . . . . . . . . . . . 245 J ̈ org Scholvin, Anthony Zorzos, Justin Kinney, Jacob Bernstein, Caroline Moore-Kochlacs, Nancy Kopell, Clifton Fonstad and Edward S. Boyden Scalable, Modular Three-Dimensional Silicon Microelectrode Assembly via Electroless Plating Reprinted from: Micromachines 2018 , 9 , 436, doi:10.3390/mi9090436 . . . . . . . . . . . . . . . . . 259 Katharina Hoch, Frederick Pothof, Felix Becker, Oliver Paul and Patrick Ruther Development, Modeling, Fabrication, and Characterization of a Magnetic, Micro-Spring-Suspended System for the Safe Electrical Interconnection of Neural Implants Reprinted from: Micromachines 2018 , 9 , 424, doi:10.3390/mi9090424 . . . . . . . . . . . . . . . . . 280 Bailey M. Winter, Samuel R. Daniels, Joseph W. Salatino and Erin K. Purcell Genetic Modulation at the Neural Microelectrode Interface: Methods and Applications Reprinted from: Micromachines 2018 , 9 , 476, doi:10.3390/mi9100476 . . . . . . . . . . . . . . . . . 300 vi Mehdi Shokoueinejad, Dong-Wook Park, Yei Hwan Jung, Sarah K. Brodnick, Joseph Novello, Aaron Dingle, Kyle I. Swanson, Dong-Hyun Baek, Aaron J. Suminski, Wendell B. Lake, Zhenqiang Ma and Justin Williams Progress in the Field of Micro-Electrocorticography Reprinted from: Micromachines 2019 , 10 , 62, doi:10.3390/mi10010062 . . . . . . . . . . . . . . . . 312 Bradley B. Barth, Hsin-I Huang, Gianna E. Hammer and Xiling Shen Opportunities and Challenges for Single-Unit Recordings from Enteric Neurons in Awake Animals Reprinted from: Micromachines 2018 , 9 , 428, doi:10.3390/mi9090428 . . . . . . . . . . . . . . . . . 331 Takashi D. Y. Kozai The History and Horizons of Microscale Neural Interfaces Reprinted from: Micromachines 2018 , 9 , 445, doi:10.3390/mi9090445 . . . . . . . . . . . . . . . . . 350 vii About the Special Issue Editors Joseph Pancrazio earned a B.Sc. in electrical engineering from the University of Illinois followed by a M.Sc. and Ph.D. in biomedical engineering from the University of Virginia. He has a 30-year career spanning academia and federal government, working in the fields of biosensors and neural engineering. He currently serves as the vice president for research and a professor of bioengineering at UT Dallas. Prior to joining UT Dallas in 2015 as associate provost, he served as the founding chair of bioengineering at George Mason University in Fairfax, VA. Before arriving at Mason in 2008, he served in the US federal government as a material scientist at the US Naval Research Laboratory and as the program director for Neural Engineering at the National Institutes of Health (NIH) in Washington, DC. Dr. Pancrazio’s research focuses on the development of novel neural interface technology, which is used to understand and influence the brain and nervous system for the purposes of improving human health. In 2011, Dr. Pancrazio was elected to the College of Fellows in the American Institute for Medical and Biological Engineering, a distinction reserved for the top 2% of professionals in the field. Stuart Cogan is a professor of bioengineering at the University of Texas at Dallas, conducting research on neural stimulation and recording electrodes, the electrode–tissue interface, implantable materials, and vision prostheses. His current research focuses on multielectrode arrays based on amorphous silicon carbide and the application of ultra-microelectrodes for chronic applications in the central and peripheral nervous systems. He received B.Sc. and M.Sc. degrees in mechanical engineering and materials science from Duke University and a Sc.D. in materials science from the Massachusetts Institute of Technology. Prior to joining UT Dallas in 2014, Dr. Cogan spent 30 years at EIC Laboratories, departing as vice-president and the head of materials research. Besides neural devices, his research interests have included superconductivity, thin-film optical switching, crystal growth, and thin-film deposition processes. Dr. Cogan is an elected member of the College of Fellows in the American Institute for Medical and Biological Engineering. ix micromachines Editorial Editorial for the Special Issue on Neural Electrodes: Design and Applications Joseph J. Pancrazio * and Stuart F. Cogan * Department of Bioengineering, The University of Texas at Dallas, 800 W. Campbell Road, BSB 13.633, Richardson, TX 75080, USA * Correspondence: Joseph.Pancrazio@utdallas.edu (J.J.P.); sxc149830@utdallas.edu (S.F.C.) Received: 9 July 2019; Accepted: 9 July 2019; Published: 12 July 2019 Neural electrodes enable the recording and stimulation of bioelectrical activity from the nervous system. This technology provides neuroscientists and clinicians with the means to probe the functionality of neural circuitry in health and modulate activity in disease states. In their simplest forms, neural electrodes can be viewed as collections of wires or exposed electrical contacts in an insulating substrate. The exposed electrical contact can vary in size depending on the application. For conventional therapeutic devices, the neural electrode sites are relatively large, allowing the electrical stimulation of a volume of tissue to e ff ect neuromodulation. For example, neural electrodes can deliver therapeutic stimulation for the relief of debilitating symptoms associated with Parkinson’s Disease, a disorder characterized by a deficit in dopaminergic neurons, via deep brain stimulation (DBS). The neural electrodes for DBS consist of a relatively small number of metallic contacts along a single shaft. In comparison, microelectrode and even ultramicroelectrode-based devices, which o ff er the opportunity for a more intimate interface with the nervous system tissue, are 1–3 orders of magnitude smaller in dimension, and the field is driving towards high spatial densities of electrode sites. Indeed, from a historical standpoint, basic and applied neuroscience has made significant strides from insights derived from small, yet fragile and unstable neural electrodes. At small dimensions, neural electrodes can stimulate relatively small tissue volumes to provide selectivity or allow the measurement of activity from a single “unit” or presumptive individual neuron for decoding purposes. While the performance consistency of the microelectrode–tissue interface has been problematic, the experimental results have inspired e ff orts to develop motor and sensory neuroprosthesis as well as provided fundamental insights into brain circuitry. Commercially available arrays of microelectrodes include bundled microwires, multi-shank silicon-based Utah (or Blackrock) arrays, and the Michigan (or Neuronexus) single and multi-shank devices. A significant obstacle to large-scale implementation is the “many wire problem”, i.e., how many wires can one logistically implement across the skull? Consider, for example, a mouse skull with a surface area of approximately 100 mm 2 . For the smallest Omnetics connector, often used in basic science and pre-clinical neuroscience studies, the pitch between electrical contacts is 0.635 mm. The largest number of connection points for the entire 100 mm 2 surface area would be 225, far fewer than the 75 million neurons in a mouse brain. While multiplexing and wireless transmission will likely ameliorate or avoid altogether cabling and connector issues in future devices for clinical applications and long-term behavioral studies, robust cabling is non-trivial, and stresses created by cable bundles remain a major limitation for high density microelectrode devices, a ff ecting positioning and stability. Furthermore, there are failure mechanisms that include both biotic and abiotic processes. As reviewed by Campbell and Wu [ 1 ], the biotic mechanism is believed to originate from the chronic foreign body response following initial implantation, and downstream processes that have features consistent with CNS trauma and neurodegeneration. There is evidence implicating the mechanical mismatch between the nervous system tissue and the neural electrodes as a source of the tissue response [ 2 ]. The Young’s modulus for brain tissue is approximately 7 orders of magnitude Micromachines 2019 , 10 , 466; doi:10.3390 / mi10070466 www.mdpi.com / journal / micromachines 1 Micromachines 2019 , 10 , 466 softer than silicon, a common neural microelectrode structural material. Neural probes that either consist of materials that soften on implantation [ 2 , 3 ] or have extremely small cross-sectional areas resulting in device flexibility [ 4 ] show diminished tissue response. From an abiotic perspective, electrical connectors, never intended by design for biological experiments, are prone to fail due to repeated plugging and unplugging, a problem that plagues neural recordings in animal models. The combination of optogenetics with neural recording and stimulation paradigms creates new challenges for ensuring that heat dissipation during illumination is minimized to reduce the likelihood of tissue damage. Lastly, the age of bioelectronic medicines has brought the realization that the viscera are subject to neuromodulation and that new electrode technologies will be required to unravel functional neural connectivity. Multidisciplinary approaches are the key, and so this Special Issue on “Neural Microelectrodes: Design and Applications” showcases 22 research papers and review articles that leverage new perspectives from fields including tissue biomechanics, material science, and biological mechanisms of inflammation and neurodegeneration that are critical to advancing the technology. The papers in this Special Issue explore the following aspects of neural electrodes design and application in the following theme areas: (1) biomaterials, (2) enabling technology and fabrication, and (3) the biology of the interface. 1. Biomaterials. Hess-Dunning and Tyler [ 3 ] report that neural probes can be fabricated from a mechanically-adaptive polymer that is sti ff prior to insertion, but rapidly transitions in vivo to an extremely compliant state (~10 MPa). These devices are fabricated from a nanocomposite derived from a soft poly(vinyl acetate) (PVAc) matrix polymer with a percolated network of high-aspect-ratio cellulose nanocrystals harvested from tunicate mantles. The nanocomposite supports embedded Parylene-C-coated Au leads to produce stable electrochemical properties in vivo and well-resolved single units from probes implanted chronically for 4 months in rat cortex. Stiller et al. [ 5 ] describe the chronic recording and electrochemical performance of fully encapsulated shape memory polymer (SMP) microelectrode arrays in rat cortex. These single shank devices, fabricated from conventional thin film polymer processing, are based on thiol-ene / acrylate SMP that softens by an order of magnitude once implanted. After 4 months in vivo , single units were prominent, and the neuroinflammatory profile determined by immunohistochemistry was modest, suggesting the feasibility of SMP-based devices. Sho ff stall et al. [ 6 ] describe a comprehensive analysis of the neuroinflammatory response of SMP-coated silicon structures and compare the surface properties to uncoated silicon structures. After 4 months in rat cortex, the non-softening thiol-ene SMP devices appeared to produce a histological profile similar to the silicon controls, although astrocytic scarring was reduced for the SMP-coated probes. Rihani et al. [7] present early stage work showing that another smart polymer, specifically liquid crystal elastomer with shape-changing characteristics, may be a promising neural interface material. Based on in vitro studies, they report that the material is neither cytotoxic nor likely to a ff ect neuronal electrophysiologic behavior. Furthermore, they demonstrate that functional multi-layer devices consisting of arrays of electrodes can be fabricated and are electrically stable under in vitro conditions. Rather than having a device consist of material that changes its modulus, Kil et al. [ 8 ] demonstrate that dextran can be used to temporarily sti ff en flexible probes fabricated from Parylene-C to enable insertion into rat somatosensory cortex without buckling. They characterized the rapid dissolution rate as a function of molecular weight and probe surface area, showing that a 37 μ m thick coating of 40 kDa dextran provides a dissolution time of approximately 4 min, well within the typical time period needed to insert a cortical probe. Histological analyses of dextran-coated probes implanted for 4 months demonstrated little or no neuroinflammatory response, indicating that dextran is a practical option for temporarily sti ff ening ultrasmall and highly flexible probes for insertion. Deku et al. [4] describe the fabrication and in vivo performance of ultrasmall microelectrode arrays that leverage amorphous silicon carbide (a-SiC), an insulating material known to be non-corrosive and fracture-resistant. Prototype a-SiC intracortical implants fabricated containing 8–16 single shanks with a thickness of 6 μ m penetrated rat cortex without an insertion aid or transient coating, and single unit recordings were well-resolved from sputtered iridium oxide-coated electrode sites. Recognizing that delamination is one of the means 2 Micromachines 2019 , 10 , 466 by which implanted multi-layer devices fail, Bernardin et al. [ 9 ] report on the early stage development of a monolithic probe that makes use of a crystalline form of silicon carbide (SiC). Capitalizing on SiC as a chemically inert semiconductor, the device structure was micromachined from p-type SiC with conductors created from n-type SiC, simultaneously providing electrical isolation through the resulting p-n junction. Electrical characterization of the electrode sites showed high-performance p-n diode behavior, with typical turn-on voltages of ~2.3 V and reverse bias leakage below 1 nA rms with impedances suitable for extracellular recording. 2. Enabling Technology and Fabrication. Sridharan et al. [ 10 ] show that rat peripheral nerve can be wirelessly stimulated using volume-conducted AC fields directed towards implanted Schottky microdiodes coupled to cu ff electrodes. Muscle twitches monitored by electromyography could be elicited by 500 kHz AC fields for as brief as 1 ms in duration. While there may be limitations in terms of the number of selective channels, this approach is promising for a range of “bioelectronics medicines” applications. Straka and colleagues [ 11 ] report that electrochemical impedance spectroscopy (EIS) performed in vivo can provide insights into degradation kinetics and mechanisms associated with implanted Utah arrays in peripheral nerve. Capitalizing on electrode-electrolyte equivalent circuit representation for Pt and Pt / Ir. microelectrodes based on the Randles circuit model, distinct classes of EIS become apparent that implicate the emergence of a glial scar from the neuroinflammatory response, parasitic capacitance pathways, lead-wire breakage or loss of electrode tip metallization, or electrode insulation degradation. While DBS systems typically operate in an open loop, always on mode, Vajari et al. [12] describe the design of a hybrid DBS probe, comprised of glassy carbon electrodes on a polyimide substrate, which couples electrical stimulation and local field potential recording with fast scan cyclic voltammetry (FSCV). FSCV o ff ers the possibility of real time measurements of dopamine for use as a feedback signal for a closed loop DBS system. In vitro characterization of the prototype device showed sub micromolar sensitivity to dopamine and minimal artifacts during magnetic resonance imaging. Future preclinical work will be necessary to characterize the stability of glassy carbon electrode measurements in vivo. Nicolai et al. [ 13 ] provide a characterization of motion artifacts associated with real world, in vivo use of ultra-small, flexible 7- μ m diameter carbon fiber electrodes. They show that motion artifacts generated by the movement of electrodes during electrophysiological recordings and fast-scan cyclic voltammetry are di ffi cult to distinguish from the characteristic action potential and neurochemical signals. They hypothesize that motion alters the electrode / electrolyte interface by a ff ecting the electric double layer to trigger the artifacts. Sharma et al. [ 14 ] address the “many wire” problem with the design and testing of a novel electronic architecture for intracortical neural recording. By integrating mixed-signal feedback, windowed integration sampling, and a successive approximation analog-to-digital converter, they show promising results from a 180 nm CMOS integrated circuit prototype capable of multiplexing high channel count microelectrode arrays. Xu et al. [ 15 ] o ff er a technological solution to the problem of simultaneous recording and stimulation. They propose a novel bidirectional neuromodulation system-on-chip, which includes a frequency-shaping neural recorder and a fully integrated neural stimulator with charge balancing capability. A prototype device was fabricated and shown to be capable of achieving simultaneous electrical stimulation and recording on the same nerve preparation in vivo. To provide enhanced control during optogenetic studies, Goncalves et al. [ 16 ] describe a hybrid device combining optical stimulation and neural recording, which is capable of monitoring the heat generated during light exposure. A proof-of-concept device, with double-sided function: on one side, an optrode with LED-based stimulation and Pt recording sites on one side of the probe and with a Pt-based thin-film thermoresister for temperature measurement on the opposite side, was fabricated and characterized. The silicon-based device showed good recording and optical features with suitable optical power delivery and a high-resolution temperature monitoring, indicating that this optrode approach may be useful for limiting tissue damage from excessive heating. Scholvin et al. [ 17 ] report on a scalable, modular strategy for fabricating high-density 3D neural probes. They demonstrate 3 Micromachines 2019 , 10 , 466 a 3D probe constructed from individual 2D components where there are arrays of shanks consisting of densely packed, at a 40 μ m pitch, electrode sites. The probes are assembled using mechanical self-locking and self-aligning techniques followed by electroless nickel plating to establish electrical contact. By combining scalable 3D design and high-density recording sites, this fabrication approach may enable new classes of devices capable of large-scale neural recording to elucidate the functional connectivity of the brain. Hoch et al. [ 18 ] address the problem associated with neural probe connector failure, which is triggered by excessive forces generated by repeated plugging / unplugging between recording sessions. They developed a new magnetic connector system that uses multiple magnet pairs and spring-suspended electrical contact pads realized using micro-electromechanical systems technologies to achieve reliable self-alignment of the connector parts at ± 50 μ m with negligible connection forces. 3. Biology of the Interface. Campbell and Wu [ 1 ] provide a comprehensive review of the tissue response to devices implanted within the brain and illustrate how both biotic and abiotic processes result in failure in bioelectrical performance. They discuss the tissue response to electrode implantation and the associated molecular pathways that act on acute and chronic timescales. In addition, they review current strategies to minimize the tissue response to enhance device reliability. Genetic tools o ff er an opportunity to target critical proteins that may have pivotal roles in neuroinflammatory response at the tissue–device interface. Winter et al. [ 19 ] characterize three di ff erent approaches for modifying gene expression at the tissue–device interface: viral-mediated overexpression, siRNA-enabled knockdown, and cre-dependent conditional expression. By making use of an implantable neural probe that incorporates microfluidics, they successfully delivered the vectors along the length of the device based on protein expression levels, indicating that this approach can be used to modulate various molecular pathways. In a meta-analysis derived from the published literature, Stiller et al. [ 2 ] explore the relationships between the neuroinflammatory responses to implanted devices that vary with respect to structural device sti ff ness, which is a function of both material modulus and cross-sectional area. By incorporating data from nine published studies, spanning a wide range of implant dimensions and materials, it was determined that the severity of the immune response, within the first 50 μ m of the device, is highly correlated with device sti ff ness, as opposed to either the device modulus or cross-sectional area independently. To complete the Special Issue, three papers provide insight into the past and future of neural electrodes. Shokoueinejad et al. [ 20 ] provide a historical perspective on the use and evolution of electrocorticography for a wide range of experimental and clinical applications. These grids, especially those that are 10–100 s of microns in dimension, o ff er the advantage of high-density neural signal acquisition and stimulation capabilities. In addition, this approach is considered relatively minimally invasive based on a muted neuroinflammatory response, at least compared to penetrating microelectrode arrays. Similar to electrocorticography arrays, devices suitable for recording the activity of the gut have been recently considered to shed light on the enteric nervous system. Barth et al. [ 21 ] describe the opportunity for advancing enteric neuroscience o ff ered by single-unit recording capabilities in awake animals, using flexible conformal grids, and identify the primary design challenges for such devices. Finally, Kozai [ 22 ] provides a historical perspective on the progress and challenges for implantable neural electrodes, arguing that understanding the complexities associated with reliable chronic neural interfaces requires simultaneous proficiency in multiple scientific and engineering disciplines. We extend our appreciation to all of the authors for their excellent contributions to this Special Issue of Micromachines. We also thank the peer referees who provided in depth, thoughtful, and rapid reviews of all of the manuscripts. Lastly, we acknowledge the dedicated journal sta ff of the editorial o ffi ce who professionally and gracefully kept the entire process on track. Conflicts of Interest: The authors declare no conflict of interest. 4 Micromachines 2019 , 10 , 466 References 1. Campbell, A.; Wu, C. Chronically Implanted Intracranial Electrodes: Tissue Reaction and Electrical Changes. Micromachines 2018 , 9 , 430. [CrossRef] [PubMed] 2. Stiller, A.M.; Black, B.J.; Kung, C.; Ashok, A.; Cogan, S.F.; Varner, V.D.; Pancrazio, J.J. A Meta-Analysis of Intracortical Device Sti ff ness and Its Correlation with Histological Outcomes. Micromachines 2018 , 9 , 443. [CrossRef] [PubMed] 3. Hess-Dunning, A.; Tyler, D.J. A Mechanically-Adaptive Polymer Nanocomposite-Based Intracortical Probe and Package for Chronic Neural Recording. Micromachines 2018 , 9 , 583. [CrossRef] [PubMed] 4. Deku, F.; Frewin, C.L.; Stiller, A.; Cohen, Y.; Aqeel, S.; Joshi-Imre, A.; Black, B.; Gardner, T.J.; Pancrazio, J.J.; Cogan, S.F. Amorphous Silicon Carbide Platform for Next Generation Penetrating Neural Interface Designs. Micromachines 2018 , 9 , 480. [CrossRef] [PubMed] 5. 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This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http: // creativecommons.org / licenses / by / 4.0 / ). 6 micromachines Review Chronically Implanted Intracranial Electrodes: Tissue Reaction and Electrical Changes Andrew Campbell 1, * and Chengyuan Wu 2 1 Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA 19107, USA 2 Department of Neurological Surgery, Vickie and Jack Farber Institute for Neuroscience, Thomas Jefferson University Hospital, Philadelphia, PA 19107, USA; chengyuan.wu@jefferson.edu * Correspondence: andrew.campbell@jefferson.edu Received: 18 July 2018; Accepted: 22 August 2018; Published: 25 August 2018 Abstract: The brain-electrode interface is arguably one of the most important areas of study in neuroscience today. A stronger foundation in this topic will allow us to probe the architecture of the brain in unprecedented functional detail and augment our ability to intervene in disease states. Over many years, significant progress has been made in this field, but some obstacles have remained elusive—notably preventing glial encapsulation and electrode degradation. In this review, we discuss the tissue response to electrode implantation on acute and chronic timescales, the electrical changes that occur in electrode systems over time, and strategies that are being investigated in order to minimize the tissue response to implantation and maximize functional electrode longevity. We also highlight the current and future clinical applications and relevance of electrode technology. Keywords: intracranial electrodes; foreign body reaction; electrode degradation; glial encapsulation 1. Introduction The brain-electrode interface is one of the most exciting topics in modern neuroscience. Progress in this field represents the culmination of research in separate collaborating disciplines including materials science, neural engineering, and neurosurgery among others. We are now able to record from and stimulate the brain at the level of individual neurons, termed single-units, which holds great promise for future research, and clinical applications. In humans, advances in recording and neuromodulation technology have led to new medical devices that use electrodes for neural recording, stimulation, or both in the central nervous system (CNS) and peripheral nervous system (PNS). Examples of these breakthroughs include stereo electroencephalography (sEEG), where implanted recording depth electrodes have enhanced our ability to detect and localize epileptogenic foci in the brain (see Figure 1A); deep brain stimulation (DBS), which involves the placement of stimulating electrodes into brain areas for therapeutic effect in conditions like Parkinson’s disease or essential tremor; and responsive neurostimulation (RNS), which aims to both detect seizure activity and respond with electrical stimuli that essentially stops seizures before they start (see Figure 1B). Spinal cord and vagal nerve stimulators as well as cochlear implants are additional examples of neuromodulation devices capable of providing patients relief from back pain, control of drug-resistant epileptic seizures, and even the ability to hear, respectively. Although these technologies exemplify remarkable medical achievements, further work in this field has involved the incorporation of brain-computer interfaces (BCIs) and neuroprosthetics in humans, which rely on the precision that can be achieved through the implantation of chronic microelectrode arrays into the brain parenchyma. However, there are a number of obstacles that must be overcome before long-term stability of the tissue-electrode interface can be achieved. While the issues of glial encapsulation and electrode degradation remain at the forefront of current thinking, a precise and complete understanding of the mechanisms underlying electrode failure over time has Micromachines 2018 , 9 , 430; doi:10.3390/mi9090430 www.mdpi.com/journal/micromachines 7 Micromachines 2018 , 9 , 430 yet to be attained. In this review, we will explore the tissue-electrode interface, with particular focus on the acute and chronic inflammatory reactions, changes that occur in electrodes, and strategies being investigated to mitigate these issues. Figure 1. Computed tomography (CT) reconstruction images of patients after implantation of ( A ) sEEG electrodes and ( B ) RNS system. 2. Contemporary Recording and Stimulation Systems Overview While a nuanced discussion about electrode hardware is beyond the scope of this review, we will address the basic electrode types in this section. In recent years, there have been numerous electrode systems manufactured for use in scientific and clinical applications. These applications range from recording and stimulation studies in basic neuroscience animal research to deep brain stimulation (DBS) in Parkinson’s disease o