Neural Interface Technologies Research Articles

Advanced Functional Materials Solutions to Engineering the Neural Interface

Advanced Functional Materials Solutions to Engineering the Neural Interface

In vivo spatiotemporal dynamics of NG2 glia activity caused by neural electrode implantation

Neural interface technology provides direct sampling and analysis of electrical and chemical events in the brain in order to better understand neuronal function and treat neurodegenerative disease. However, intracortical electrodes experience inflammatory reactions that reduce long-term stability and functionality and are understood to be facilitated by activated microglia and astrocytes. Emerging studies have identified another cell type that participates in the formation of a high-impedance glial scar following brain injury; the oligodendrocyte precursor cell (OPC). These cells maintain functional synapses with neurons and are a crucial source of neurotrophic support. Following injury, OPCs migrate toward areas of tissue injury over the course of days, similar to activated microglia. The delayed time course implicates these OPCs as key components in the formation of the outer layers of the glial scar around the implant. In vivo two-photon laser scanning microscopy (TPLSM) was employed to observe fluorescently-labeled OPC and microglia reactivity up to 72 h following probe insertion. OPCs initiated extension of cellular processes (2.5 ± 0.4 μm h−1) and cell body migration (1.6 ± 0.3 μm h−1) toward the probe beginning 12 h after insertion. By 72 h, OPCs became activated at a radius of about 190.3 μm away from the probe surface. This study characterized the early spatiotemporal dynamics of OPCs involved in the inflammatory response induced by microelectrode insertion. OPCs are key mediators of tissue health and are understood to have multiple fate potentials. Detailed spatiotemporal characterization of glial behavior under pathological conditions may allow identification of alternative intervention targets for mitigating the formation of a glial scar and subsequent neurodegeneration that debilitates chronic neural interfaces.

Glial responses to implanted electrodes in the brain.

The use of implants that can electrically stimulate or record electrophysiological or neurochemical activity in nervous tissue is rapidly expanding. Despite remarkable results in clinical studies and increasing market approvals, the mechanisms underlying the therapeutic effects of neuroprosthetic and neuromodulation devices, as well as their side effects and reasons for their failure, remain poorly understood. A major assumption has been that the signal-generating neurons are the only important target cells of neural-interface technologies. However, recent evidence indicates that the supporting glial cells remodel the structure and function of neuronal networks and are an effector of stimulation-based therapy. Here, we reframe the traditional view of glia as a passive barrier, and discuss their role as an active determinant of the outcomes of device implantation. We also discuss the implications that this has on the development of bioelectronic medical devices.

Chronic interfacing with the autonomic nervous system using carbon nanotube (CNT) yarn electrodes

The ability to reliably and safely communicate chronically with small diameter (100–300 µm) autonomic nerves could have a significant impact in fundamental biomedical research and clinical applications. However, this ability has remained elusive with existing neural interface technologies. Here we show a new chronic nerve interface using highly flexible materials with axon-like dimensions. The interface was implemented with carbon nanotube (CNT) yarn electrodes to chronically record neural activity from two separate autonomic nerves: the glossopharyngeal and vagus nerves. The recorded neural signals maintain a high signal-to-noise ratio (>10 dB) in chronic implant models. We further demonstrate the ability to process the neural activity to detect hypoxic and gastric extension events from the glossopharyngeal and vagus nerves, respectively. These results establish a novel, chronic platform neural interfacing technique with the autonomic nervous system and demonstrate the possibility of regulating internal organ function, leading to new bioelectronic therapies and patient health monitoring.

(Invited) Reanimating Paralyzed Limbs and the Future of Bioelectronic Medicine

Millions suffer from diseases and injuries that lead to paralysis through disruption of signal pathways between the brain and the muscles. Bioelectronic devices are designed to restore lost function and can be used to form an electronic ‘neural bypass’ to circumvent disconnected pathways in the nervous system. Intracortically-recorded signals have been decoded to produce information related to motion allowing non-human primates and paralyzed humans to control computers and robotic arms through imagined movements. In a first-in-human clinical study, it has been shown that intracortically-recorded signals can be linked in real-time to muscle activation to restore movement in a paralyzed human. Machine-learning algorithms were developed to decode the neuronal activity and control electrical stimulation of the participant’s forearm muscles through a custom-built high-resolution neuromuscular electrical stimulation system. The system allowed the participant to achieve isolated finger movements and continuous cortical control of six different wrist and hand motions. Furthermore, the participant completed functional tasks relevant to daily living. Clinical assessment showed that when using the system, the participant’s motor impairment level improved from C5-C6 to a C7-T1 level unilaterally, giving him the critical abilities to grasp, manipulate and release objects. This was the first demonstration of successful control of muscle contraction utilizing intracortically-recorded signals in a paralyzed human. These results have significant implications in advancing bioelectronic technology for the millions of people worldwide living with paralysis. Future work will include developing improved machine learning algorithms and high-resolution implantable neural interface technology to support highly dexterous movement in the hand and movement in the lower extremities. Also, decoding methods are being developed for peripheral nervous system signals for extraction of important biomarkers for the diagnosis and treatment of a wide variety of diseases and conditions.

(Invited) Long-Term Stimulation Stability of IrOx Tip Metallization for the Utah Electrode Array

Long-term neural stimulation and recording efficacy is critical for clinical translation of neural interface technologies for use in therapeutic and diagnostic applications. As part of the DARPA HAPTIX program, we will be performing neural stimulation and recording in peripheral nerves of human subjects for more than 1 year, driving the need to improve the electrode metallization. This motivated the development of aggressive in vitro test to evaluate and improve the electrode material and its electrochemical stability. Utah Electrode Arrays (UEAs) with thin film IrOx electrode sites were pulsed at 1,667 Hz for 109 pulses using cathodal-first square biphasic current with 200 µs cathodal and anodal phases, a 100 µs interphase period, and amplitudes ranging from 100 µA to 2,100 µA. The pulse frequency and current werewell outside the typical ranges of 50 to 200 Hz and 1 to 100 µA used for physiological stimulation in order to accelerate failure. The voltage waveforms were sampled, and used in combination with electrochemical impedance spectroscopy and cyclic voltammetry to monitor the electrochemical properties of the electrodes. In addition, physical characterization of the electrodes was performed using back-scattered scanning electron microscopy and dual-beam focused ion beam analysis to investigate changes in surface morphology and the layer structure of the electrodes. Electrodes were stimulated at amplitudes up to 1,600 µA without observable degradation of the electrochemical properties or changes morphology. This stimulation had cathodic excursions (Emc) up to -2 V, which is well outside the water window. Some electrodes stimulated at amplitudes of 2,100 µA experienced modest degradation, and rarely an electrode was damaged catastrophically, with the majority of the tip metal delaminated. The damaged electrodes were investigated with electron microscopy. The dendritic morphology of the IrOx films was fully preserved except during catastrophic failure where no metal remained to observe. Delamination of the films, ranging from either small regions for the majority of samples to nearly complete metal delamination in rare cases, was observed. This strongly suggests that the IrOx material is highly robust and electrochemically stable during aggressive stimulation testing in-vitro. In addition, with cross-sectional analysis of the tip metal using db-FIB, we observed delamination between the tip metal and silicon electrode. We are investigating if this delamination is occurring through a physical process, or is the result of electrochemical etching of the silicon substrate resulting in undercutting of the electrode. In addition, we have developed a highly sensitive method for electrochemically testing neural electrode dielectric encapsulation. By fully encapsulating devices such that the active electrode region is completely insulated by the dielectric film under investigation, we have been able to resolve the time course and evolution of shunt pathways through dielectric defects with much great sensitivity. The fully encapsulated electrodes are characterized using EIS and current leakage measurements as a function of time to monitor changes in the encapsulation. In addition, electrodes that experience failure as, indicated by leakage currents > 1 nA, were decorated by electrochemical Cu plating to localize failures. Device lifetimes and failure modes characterized by these techniques will be reported.

Tissue-Engineered Peripheral Nerve Interfaces.

Research on neural interfaces has historically concentrated on development of systems for the brain; however, there is increasing interest in peripheral nerve interfaces (PNIs) that could provide benefit when peripheral nerve function is compromised, such as for amputees. Efforts focus on designing scalable and high-performance sensory and motor peripheral nervous system interfaces. Current PNIs face several design challenges such as undersampling of signals from the thousands of axons, nerve-fiber selectivity, and device-tissue integration. To improve PNIs, several researchers have turned to tissue engineering. Peripheral nerve tissue engineering has focused on designing regeneration scaffolds that mimic normal nerve extracellular matrix composition, provide advanced microarchitecture to stimulate cell migration, and have mechanical properties like the native nerve. By combining PNIs with tissue engineering, the goal is to promote natural axon regeneration into the devices to facilitate close contact with electrodes; in contrast, traditional PNIs rely on insertion or placement of electrodes into or around existing nerves, or do not utilize materials to actively facilitate axon regeneration. This review presents the state-of-the-art of PNIs and nerve tissue engineering, highlights recent approaches to combine neural-interface technology and tissue engineering, and addresses the remaining challenges with foreign-body response.

Nanotechnology and Nanomaterials for Improving Neural Interfaces

AbstractA successful biomaterial–neural tissue interface should demonstrate biocompatibility, cytocompatibility, the ability to integrate properly within neural tissues, and the prolonged maintenance of desired electrical properties. Neural electrodes implanted in vivo often experience degradation of these properties due to implant micromotion, mechanical mismatch, an extensive foreign‐body response, and the formation of glial scar tissue that interfere with signal transmission. However, recent advances in nanotechnology and nanomaterials show great promise to address these problems due to their biologically inspired surface features and enhanced electrical properties. This review will discuss how nanomaterials and nanotechnology are being used to fabricate advanced neural electrodes that demonstrate greater bio‐integration properties, enhanced prolonged electrical properties, and an improved signal specificity down to the single molecule range. First, an overview of current biomaterial–neural tissue interface technology is provided, followed by an examination of conventional and newly developed micro‐ and nano‐fabrication methodologies. Nanomaterials that have shown the most promise for neural interfacial applications are then discussed, including carbon nanomaterials, conductive polymers, and hybrid nanomaterials. The purpose of this review is to describe recent advances in nanotechnology for improved biomaterial–neural tissue interfaces, and identify their advantages and disadvantages from a researcher's perspective.

Optical Read-out of Neural Activity in Mammalian Peripheral Axons: Calcium Signaling at Nodes of Ranvier

Current neural interface technologies have serious limitations for advanced prosthetic and therapeutic applications due primarily to their lack of specificity in neural communication. An optogenetic approach has the potential to provide single cell/axon resolution in a minimally invasive manner by optical interrogation of light-sensitive reporters and actuators. Given the aim of reading neural activity in the peripheral nervous system, this work has investigated an activity-dependent signaling mechanism in the peripheral nerve. We demonstrate action potential evoked calcium signals in mammalian tibial nerve axons using an in vitro mouse model with a dextran-conjugated fluorescent calcium indicator. Spatial and temporal dynamics of the signal are presented, including characterization of frequency-modulated amplitude. Pharmacological experiments implicate T-type CaV channels and sodium-calcium exchanger (NCX) as predominant mechanisms of calcium influx. This work shows the potential of using calcium-associated optical signals for neural activity read-out in peripheral nerve axons.

Nanostructures to Engineer 3D Neural‐Interfaces: Directing Axonal Navigation toward Successful Bridging of Spinal Segments

AbstractNeural interfaces are the core of prosthetic devices, such as implantable stimulating electrodes or brain–machine interfaces, and are increasingly designed for assisting rehabilitation and for promoting neural plasticity. Thus, beyond the classical neuroprosthetic concept of stimulating and/or recording devices, modern technology is pursuing toward ideal bio/electrode interfaces with improved adaptability to the brain tissue. Advances in material research are crucial in these efforts and new developments are drawing from engineering and neural interface technologies. Here, a microporous, self‐standing, 3D interface made of polydimethylsiloxane (PDMS) implemented at the interfacing surfaces with novel conductive nanotopographies (carbon nanotubes) is exploited. The scaffold porosity is characterized by 3D X‐ray microtomography. These structures are used to interface axons regenerated from cultured spinal explants and it is shown that engineering PDMS 3D interfaces with carbon nanotubes effectively changes the efficacy of regenerating fibers to target and reconnect segregated explant pairs. An improved electrophysiological performance is shown when the spinal tissue is interfaced to PDMS enriched by carbon nanotubes that may favor the use of our substrates as regenerative interfaces. The materials are implanted in the rat brain and a limited tissue reaction surrounding the implants at 2, 4, and 8 weeks from surgery is reported.

An ovine model of cerebral catheter venography for implantation of an endovascular neural interface.

OBJECTIVE Neural interface technology may enable the development of novel therapies to treat neurological conditions, including motor prostheses for spinal cord injury. Intracranial neural interfaces currently require a craniotomy to achieve implantation and may result in chronic tissue inflammation. Novel approaches are required that achieve less invasive implantation methods while maintaining high spatial resolution. An endovascular stent electrode array avoids direct brain trauma and is able to record electrocorticography in local cortical tissue from within the venous vasculature. The motor area in sheep runs in a parasagittal plane immediately adjacent to the superior sagittal sinus (SSS). The authors aimed to develop a sheep model of cerebral venography that would enable validation of an endovascular neural interface. METHODS Cerebral catheter venography was performed in 39 consecutive sheep. Contrast-enhanced MRI of the brain was performed on 13 animals. Multiple telescoping coaxial catheter systems were assessed to determine the largest wide-bore delivery catheter that could be delivered into the anterior SSS. Measurements of SSS diameter and distance from the motor area were taken. The location of the motor area was determined in relation to lateral and superior projections of digital subtraction venography images and confirmed on MRI. RESULTS The venous pathway from the common jugular vein (7.4 mm) to the anterior SSS (1.2 mm) was technically challenging to selectively catheterize. The SSS coursed immediately adjacent to the motor cortex (< 1 mm) for a length of 40 mm, or the anterior half of the SSS. Attempted access with 5-Fr and 6-Fr delivery catheters was associated with longer procedure times and higher complication rates. A 4-Fr catheter (internal lumen diameter 1.1 mm) was successful in accessing the SSS in 100% of cases with no associated complications. Complications included procedure-related venous dissection in two major areas: the torcular herophili, and the anterior formation of the SSS. The bifurcation of the cruciate sulcal veins with the SSS was a reliable predictor of the commencement of the motor area. CONCLUSIONS The ovine model for cerebral catheter venography has generalizability to the human cerebral venous system in relation to motor cortex location. This novel model may facilitate the development of the novel field of endovascular neural interfaces that may include preclinical investigations for cortical recording applications such as paralysis and epilepsy, as well as other potential applications in neuromodulation.

Reliable Next-Generation Cortical Interfaces for Chronic Brain–Machine Interfaces and Neuroscience

This review focuses on recent directions stemming from work by the authors and collaborators in the emerging field of neurotechnology. Neurotechnology has the potential to provide a greater understanding of the structure and function of the complex neural circuits in the brain, as well as impacting the field of brain–machine interfaces (BMI). We envision ultralow-power wireless neural interface systems that are life-lasting, fully integrated, and that supports bidirectional data flow with high bandwidth. Moreover, we believe in the importance of building neural interface technology that is truly tetherless, has a very small recording footprint, and little to no mechanical coupling between the sensor and the external world. We believe these developments will impact both neuroscience and neurology, revealing fundamental insight about how the nervous system functions in health and disease.

Spatial resolution dependence on spectral frequency in human speech cortex electrocorticography

Objective. Electrocorticography (ECoG) has become an important tool in human neuroscience and has tremendous potential for emerging applications in neural interface technology. Electrode array design parameters are outstanding issues for both research and clinical applications, and these parameters depend critically on the nature of the neural signals to be recorded. Here, we investigate the functional spatial resolution of neural signals recorded at the human cortical surface. We empirically derive spatial spread functions to quantify the shared neural activity for each frequency band of the electrocorticogram. Approach. Five subjects with high-density (4 mm center-to-center spacing) ECoG grid implants participated in speech perception and production tasks while neural activity was recorded from the speech cortex, including superior temporal gyrus, precentral gyrus, and postcentral gyrus. The cortical surface field potential was decomposed into traditional EEG frequency bands. Signal similarity between electrode pairs for each frequency band was quantified using a Pearson correlation coefficient. Main results. The correlation of neural activity between electrode pairs was inversely related to the distance between the electrodes; this relationship was used to quantify spatial falloff functions for cortical subdomains. As expected, lower frequencies remained correlated over larger distances than higher frequencies. However, both the envelope and phase of gamma and high gamma frequencies (30–150 Hz) are largely uncorrelated (<90%) at 4 mm, the smallest spacing of the high-density arrays. Thus, ECoG arrays smaller than 4 mm have significant promise for increasing signal resolution at high frequencies, whereas less additional gain is achieved for lower frequencies. Significance. Our findings quantitatively demonstrate the dependence of ECoG spatial resolution on the neural frequency of interest. We demonstrate that this relationship is consistent across patients and across cortical areas during activity.

A review of electrodes for the electrical brain signal recording

Brain is complex organ composed of numerous glial cells and neurons to convey information using chemical and electrical signals. Neural interface technology using the electrical brain signals has attracted great attention for the clinical and experimental applications. Electrode as the neural interface is the most important part in stimulating neural cells or recording neural activities. In this paper, we provide an overview of electrodes for recording the electrical brain signal. The noninvasive electrodes are primarily used to capture electroencephalogram (EEG) from outside the skull while the implantable electrodes are employed to measure electrocorticogram (ECoG), local field potential (LFP) or spike activity. Recent progress in microfabrication technology enables the development of on-board electrode that combines the entire signal processing including amplification, filtering, and digitization. This will contribute to diagnostic and therapeutic application of the neural interface for restoring physical, psychological and social functions by improving motor, sensory or cognitive abilities.

Neural Substrate Expansion for the Restoration of Brain Function.

Restoring neurological and cognitive function in individuals who have suffered brain damage is one of the principal objectives of modern translational neuroscience. Electrical stimulation approaches, such as deep-brain stimulation, have achieved the most clinical success, but they ultimately may be limited by the computational capacity of the residual cerebral circuitry. An alternative strategy is brain substrate expansion, in which the computational capacity of the brain is augmented through the addition of new processing units and the reconstitution of network connectivity. This latter approach has been explored to some degree using both biological and electronic means but thus far has not demonstrated the ability to reestablish the function of large-scale neuronal networks. In this review, we contend that fulfilling the potential of brain substrate expansion will require a significant shift from current methods that emphasize direct manipulations of the brain (e.g., injections of cellular suspensions and the implantation of multi-electrode arrays) to the generation of more sophisticated neural tissues and neural-electric hybrids in vitro that are subsequently transplanted into the brain. Drawing from neural tissue engineering, stem cell biology, and neural interface technologies, this strategy makes greater use of the manifold techniques available in the laboratory to create biocompatible constructs that recapitulate brain architecture and thus are more easily recognized and utilized by brain networks.

Invasive neuromodulation in the treatment of drug-resistant epilepsies

Neuromodulation is one of the most developing new disciplines of medical science, which examines how electrical, chemical and mechanical interventions can modulate or change the functioning of the central and peripheral nervous system. Neuromodulation is a reversible form of therapy which uses electrical or mechanical stimulation or centrally-delivered drugs to modulate the abnormal function of the central nervous system in pain, spasticity, epilepsy, movement and psychiatric disorders, and certain cardiac, incontinency, visual and auditory diseases. Neuromodulation therapy has two major branches. Non-invasive neuromodulation includes transcranial magnetic simulation, direct current stimulation and transcutaneous electric nerve stimulation. Invasive neuromodulation includes deep brain stimulation, cortical stimulation, spinal cord stimulation, peripheral nerve stimulation, sacral nerve simulation, and subcutan stimulation. In this article the authors overview the apparently available neural interface technologies in epilepsy surgery.

Wireless Optofluidic Systems for Programmable In Vivo Pharmacology and Optogenetics

In vivo pharmacology and optogenetics hold tremendous promise for dissection of neural circuits, cellular signaling, and manipulating neurophysiological systems in awake, behaving animals. Existing neural interface technologies, such as metal cannulas connected to external drug supplies for pharmacological infusions and tethered fiber optics for optogenetics, are not ideal for minimally invasive, untethered studies on freely behaving animals. Here, we introduce wireless optofluidic neural probes that combine ultrathin, soft microfluidic drug delivery with cellular-scale inorganic light-emitting diode (μ-ILED) arrays. These probes are orders of magnitude smaller than cannulas and allow wireless, programmed spatiotemporal control of fluid delivery and photostimulation. We demonstrate these devices in freely moving animals to modify gene expression, deliver peptide ligands, and provide concurrent photostimulation with antagonist drug delivery to manipulate mesoaccumbens reward-related behavior. The minimally invasive operation of these probes forecasts utility in other organ systems and species, with potential for broad application in biomedical science, engineering, and medicine.

Functional recordings from awake, behaving rodents through a microchannel based regenerative neural interface

Objective. Neural interface technologies could provide controlling connections between the nervous system and external technologies, such as limb prosthetics. The recording of efferent, motor potentials is a critical requirement for a peripheral neural interface, as these signals represent the user-generated neural output intended to drive external devices. Our objective was to evaluate structural and functional neural regeneration through a microchannel neural interface and to characterize potentials recorded from electrodes placed within the microchannels in awake and behaving animals. Approach. Female rats were implanted with muscle EMG electrodes and, following unilateral sciatic nerve transection, the cut nerve was repaired either across a microchannel neural interface or with end-to-end surgical repair. During a 13 week recovery period, direct muscle responses to nerve stimulation proximal to the transection were monitored weekly. In two rats repaired with the neural interface, four wire electrodes were embedded in the microchannels and recordings were obtained within microchannels during proximal stimulation experiments and treadmill locomotion. Main results. In these proof-of-principle experiments, we found that axons from cut nerves were capable of functional reinnervation of distal muscle targets, whether regenerating through a microchannel device or after direct end-to-end repair. Discrete stimulation-evoked and volitional potentials were recorded within interface microchannels in a small group of awake and behaving animals and their firing patterns correlated directly with intramuscular recordings during locomotion. Of 38 potentials extracted, 19 were identified as motor axons reinnervating tibialis anterior or soleus muscles using spike triggered averaging. Significance. These results are evidence for motor axon regeneration through microchannels and are the first report of in vivo recordings from regenerated motor axons within microchannels in a small group of awake and behaving animals. These unique findings provide preliminary evidence that efferent, volitional motor potentials can be recorded from the microchannel-based peripheral neural interface; a critical requirement for any neural interface intended to facilitate direct neural control of external technologies.

Handcrafted Microwire Regenerative Peripheral Nerve Interfaces with Wireless Neural Recording and Stimulation Capabilities

A scalable microwire peripheral nerve interface was developed, which interacted with regenerated peripheral nerves in microchannel scaffolds. Neural interface technologies are envisioned to facilitate direct connections between the nervous system and external technologies such as limb prosthetics or data acquisition systems for further processing. Presented here is an animal study using a handcrafted microwire regenerative peripheral nerve interface, a novel neural interface device for communicating with peripheral nerves. The neural interface studies using animal models are crucial in the evaluation of efficacy and safety of implantable medical devices before their use in clinical studies. 16-electrode microwire microchannel scaffolds were developed for both peripheral nerve regeneration and peripheral nerve interfacing. The microchannels were used for nerve regeneration pathways as a scaffolding material and the embedded microwires were used as a recording electrode to capture neural signals from the regenerated peripheral nerves. Wireless stimulation and recording capabilities were also incorporated to the developed peripheral nerve interface which gave the freedom of the complex experimental setting of wired data acquisition systems and minimized the potential infection of the animals from the wire connections. A commercially available wireless recording system was efficiently adopted to the peripheral nerve interface. The 32-channel wireless recording system covered 16-electrode microwires in the peripheral nerve interface, two cuff electrodes, and two electromyography electrodes. The 2-channel wireless stimulation system was connected to a cuff electrode on the sciatic nerve branch and was used to make evoked signals which went through the regenerated peripheral nerves and were captured by the wireless recording system at a different location. The successful wireless communication was demonstrated in the result section and the future goals of a wireless neural interface for chronic implants and clinical trials were discussed together.

Stretchable Polymeric Neural Electrode Array: Toward a Reliable Neural Interface

ABSTRACTConducting polymers are often employed as coatings on smooth metal electrodes to improve the electrode performance with respect to the signal-to-noise ratio for neural recording, charge-injection capacity for neural stimulation, and inducement of neural growth for electrode-tissue integration. However, adhesion of conducting polymer coatings on metal electrodes is poor, making the coating less durable and the electrical property of the electrode less stable. Moreover, conventional conducting polymers have relative low conductance, preventing their direct use as the electrode and lead material; and they are brittle, making it difficult for flexible neural electrodes to incorporate conducting polymer coatings. We have developed a new polypyrrole/polyol-borate composite film with concurrent excellent electrical and mechanical properties. We further developed a method to fabricate a stretchable multielectrode array using this new material as the sole conductor for both electrodes and leads, in contrast with the conventional approach of incorporating conducting polymers only through coating on non-stretchable metal electrodes. The resulting stretchable polymeric multielectrode array (SPMEA) was stretchable up to 23% uniaxial tensile strain with minimal losses in electrical conductivity. Electrochemical testing revealed the SPMEA’s impressive advantage for recording local field neural potentials and for epimysial stimulation of denervated skeletal muscles. As a neural interface engineer, I would also like to compare the compliant neural interfacing technology to other technologies, such as optogenetics, radiogenetics, and even a living neural interface that is currently under development in our lab.