Microelectrode Arrays Research Articles

Predicting proprioceptive cortical anatomy and neural coding with topographic autoencoders.

Proprioception is one of the least understood senses, yet fundamental for the control of movement. Even basic questions of how limb pose is represented in the somatosensory cortex are unclear. We developed a topographic variational autoencoder with lateral connectivity (topo-VAE) to compute a putative cortical map from a large set of natural movement data. Although not fitted to neural data, our model reproduces two sets of observations from monkey centre-out reaching: 1. The shape and velocity dependence of proprioceptive receptive fields in hand-centered coordinates despite the model having no knowledge of arm kinematics or hand coordinate systems. 2. The distribution of neuronal preferred directions (PDs) recorded from multi-electrode arrays. The model makes several testable predictions: 1. Encoding across the cortex has a blob-and-pinwheel-type geometry of PDs. 2. Few neurons will encode just a single joint. Our model provides a principled basis for understanding of sensorimotor representations, and the theoretical basis of neural manifolds, with applications to the restoration of sensory feedback in brain-computer interfaces and the control of humanoid robots.

Monitoring the Brain Cortex with a Multi-Electrode Array in Response to Seizure-Inducing Agents

Monitoring the Brain Cortex with a Multi-Electrode Array in Response to Seizure-Inducing Agents

Evolving alterations of structural organization and functional connectivity in feedforward neural networks after induced P301L tau mutation

AbstractReciprocal structure–function relationships underlie both healthy and pathological behaviours in complex neural networks. Thus, understanding neuropathology and network dysfunction requires a thorough investigation of the complex interactions between structural and functional network reconfigurations in response to perturbation. Such adaptations are often difficult to study in vivo. For example, subtle, evolving changes in synaptic connectivity, transmission and the electrophysiological shift from healthy to pathological states, for example alterations that may be associated with evolving neurodegenerative disease, such as Alzheimer's, are difficult to study in the brain. Engineered in vitro neural networks are powerful models that enable selective targeting, manipulation and monitoring of dynamic neural network behaviour at the micro‐ and mesoscale in physiological and pathological conditions. In this study, we engineered feedforward cortical neural networks using two‐nodal microfluidic devices with controllable connectivity interfaced with microelectrode arrays (mMEAs). We induced P301L mutated tau protein to the presynaptic node of these networks and monitored network dynamics over three weeks. Induced perturbation resulted in altered structural organization and extensive axonal retraction starting in the perturbed node. Perturbed networks also exhibited functional changes in intranodal activity, which manifested as an overall decline in both firing rate and bursting activity, with a progressive increase in synchrony over time and a decrease in internodal signal propagation between pre‐ and post‐synaptic nodes. These results provide insights into dynamic structural and functional reconfigurations at the micro‐ and mesoscale as a result of evolving pathology and illustrate the utility of engineered networks as models of network function and dysfunction.

Monitoring Seizure-Induced Neural Electrical Activity in Brain Slices Using Microelectrode Arrays

Monitoring Seizure-Induced Neural Electrical Activity in Brain Slices Using Microelectrode Arrays

Monitoring Seizure-Induced Neural Electrical Activity in Brain Slices Using Microelectrode Arrays

Monitoring Seizure-Induced Neural Electrical Activity in Brain Slices Using Microelectrode Arrays

Ultrasound-Induced Neuromodulation Using a Microelectrode Array System

Ultrasound-Induced Neuromodulation Using a Microelectrode Array System

TRPM8 Mutations Associated With Persistent Pain After Surgical Injury of Corneal Trigeminal Axons.

Despite extensive efforts, the mechanisms underlying pain after axonal injury remain incompletely understood. Pain following corneal refractive surgery offers a valuable human model for investigating trigeminal axonal injury because laser-assisted in situ keratomileusis (LASIK) severs axons of trigeminal ganglion neurons innervating the cornea. While the majority of patients are pain-free shortly after surgery, a minority endure persistent postoperative ocular pain. Through genomic analysis of patients experiencing persistent postoperative ocular pain, we identified rare variants in genes encoding ion channels and receptors, including TRPM8, which codes for the menthol-sensitive and cold-sensing transient receptor potential cation channel. We conducted a profiling of 2 TRPM8 mutant variants, D665N and V915M, which were identified in patients suffering from persistent pain after LASIK surgery. We used patch-clamp and multielectrode array (MEA) recordings to investigate the biophysical and pharmacologic properties of mutant vs wild-type (WT) channels. Patch-clamp analysis shows that these mutations shift the activation curves of TRPM8 in a hyperpolarized direction, with this effect being significantly different between WT and D665N channels. In addition, both mutations significantly increase channel sensitivity to the canonical ligand, menthol. MEA recordings from transfected rat trigeminal ganglion neurons indicate that expression of D665N and V915M mutant channels increases spontaneous activity compared with WT channels. Consistent with patch-clamp results, neuronal activity in MEA recordings was increased on exposure to menthol. Collectively, our findings suggest that proexcitatory mutations of TRPM8, in the context of axonal injury within the cornea, can produce trigeminal ganglion neuron hyperexcitability that contributes to persistent postoperative ocular pain. In addition to providing additional evidence for a role of TRPM8 in human pain, our results suggest that inhibitors of this channel merit future study.

Micro-biosensor fabrication by microfluidic channel for simultaneous detection of choline and creatine

Choline, and creatine are two common metabolites in the nervous system, and dysregulation in choline and creatine levels is associated with the development and recurrence of glioma. In this paper, we developed an enzymatic micro-biosensor for real-time combined sensing of choline and creatine. We simulated the influence of enzyme layer thickness and electrode spacing on the electrode work with COMSOL software, then employed microfluidic channels to immobilize an enzyme layer with a precise extent. And the sensor worked with this technique to transfer and pattern choline oxidase (ChOx) and the mixture of creatinase (Cr) and sarcosine oxidase (SO) onto targeted sites on microelectrode arrays (MEA). The combined sensing micro-biosensor was confirmed that it has high sensitivity for choline and creatine with 208 and 35 μA mM−1 cm−2, respectively, and also low detection limits to around 1 and 10 μM, respectively, with relative rapid response times within 10 s (≤10 s). This work demonstrates that microfluidic channels can be an efficient method for fabricating multi-analyte enzymatic micro-biosensor.

Graphene SU-8 Platform for Enhanced Cardiomyocyte Maturation and Intercellular Communication in Cardiac Drug Screening.

Cell culture substrates designed for myocardial applications are pivotal in promoting the maturation and functional integration of cardiomyocytes. However, traditional in vitro models often inadequately mimic the diverse biochemical signals and electrophysiological properties of mature cardiomyocytes. Herein, we propose the application of monolayer graphene, transferred onto SU-8 cantilevers integrated with a microelectrode array, to evaluate its influence on the structural, functional, and electro-mechano-physiological properties of cardiomyocytes. The monolayer graphene, prepared using chemical vapor deposition, is adeptly transferred to the target substrates via thermal release tape. The electrical conductivity of these graphene-enhanced SU-8 substrates is about 1600 S/cm, markedly surpassing that of previously reported cell culture substrates. Immunofluorescence staining and Western blot analyses reveal that the electrically conductive graphene significantly enhances cardiomyocyte maturation and cardiac marker expression compared to bare SU-8 substrates. Cardiomyocytes cultured on graphene-transferred substrates exhibit conduction velocity approximately 3.4 times greater than that of the control group. Such improvements in cardiac marker expression, mechano-electrophysiological performance lead to better responsiveness to cardiovascular drugs, such as Verapamil and Isoproterenol. While the graphene monolayer does not fully replicate the complex environment found in native cardiac tissue, its use on SU-8 substrates offers a feasible approach for accelerating cardiomyocyte maturation and facilitating drug screening applications.

Resolving spatiotemporal electrical signaling within the islet via CMOS microelectrode arrays.

Glucose-stimulated beta-cells exhibit synchronized calcium dynamics across the islet that recruit beta-cells to enhance insulin secretion. Compared to calcium dynamics, the formation and cell-to-cell propagation of electrical signals within the islet are poorly characterized. To determine factors that influence the propagation of electrical activity across the islet underlying calcium oscillations and beta-cell synchronization, we used high-resolution CMOS multielectrode arrays (MEA) to measure voltage changes associated with the membrane potential of individual cells within intact C57BL6 mouse islets. We measured fast (milliseconds, spikes) and slow (seconds, waves) voltage dynamics. Single spike activity and wave signal velocity were both glucose-dependent, but only spike activity was influenced by NMDA receptor activation or inhibition. A repeated glucose stimulus revealed a highly responsive subset of cells in terms of spike activity. When islets were pretreated for 72 hours with glucolipotoxic medium, the wave velocity was significantly reduced. Network analysis confirmed that in response to glucolipotoxicity the synchrony of islet cells was affected due to slower propagating electrical waves and not due to altered spike activity. In summary, this approach provided novel insight regarding the propagation of electrical activity and the disruption of cell-to-cell communication due to excessive stimulation.

Speech motor cortex enables BCI cursor control and click.

Decoding neural activity from ventral (speech) motor cortex is known to enable high-performance speech brain-computer interface (BCI) control. It was previously unknown whether this brain area could also enable computer control via neural cursor and click, as is typically associated with dorsal (arm and hand) motor cortex. We recruited a clinical trial participant with ALS and implanted intracortical microelectrode arrays in ventral precentral gyrus (vPCG), which the participant used to operate a speech BCI in a prior study. We developed a cursor BCI driven by the participant's vPCG neural activity, and evaluated performance on a series of target selection tasks. The reported vPCG cursor BCI enabled rapidly-calibrating (40 seconds), accurate (2.90 bits per second) cursor control and click. The participant also used the BCI to control his own personal computer independently. These results suggest that placing electrodes in vPCG to optimize for speech decoding may also be a viable strategy for building a multi-modal BCI which enables both speech-based communication and computer control via cursor and click.

Profiling Human iPSC-Derived Sensory Neurons for Analgesic Drug Screening Using a Multi-Electrode Array.

Chronic pain affects approximately 1.5 billion people worldwide, yet effective treatments remain elusive. A significant barrier to progress in analgesic drug discovery is the limited translation of preclinical findings to human clinical outcomes. Traditional rodent models, although widely used, often fail to accurately predict human responses, while human primary tissues are limited by scarcity, technical difficulties, and ethical concerns. Recent advancements have identified human induced pluripotent stem cell (hiPSC)-derived nociceptors as promising alternatives; however, current differentiation protocols produce cells with inconsistent and physiologically questionable phenotypes.To address these challenges, our study introduces a novel high-content screening (HCS) platform using hiPSC-derived nociceptors cultured on multi-well micro-electrode arrays (MEAs). The "Anatomic" protocol, used to generate these nociceptors, ensures cells with transcriptomic profiles closely matching human primary sensory neurons. Our platform achieves nearly 100% active electrode yield within two weeks and demonstrates sustained, stable activity over time. Additionally, robust Z' factor analysis (exceeding 0.5) confirms the platform's reliability, while pharmacological validation establishes the functional expression of critical analgesic targets. This innovative approach improves both the efficiency and clinical relevance of analgesic drug screening, potentially bridging the translational gap between preclinical studies and human clinical trials, and offering new hope for effective pain management.

Symmetry engineering in 2D bioelectronics facilitating augmented biosensing interfaces

Symmetry lies at the heart of two-dimensional (2D) bioelectronics, determining material properties at the fundamental level. Breaking the symmetry allows emergent functionalities and effects. However, symmetry modulation in 2D bioelectronics and the resultant applications have been largely overlooked. Here, we devise an oxidized architectural MXene, referred to as oxidized MXene (OXene), that couples orbit symmetric breaking with inverse symmetric breaking to entitle the optimized interfacial impedance and Schottky-induced piezoelectric effects. The resulting OXene validates applications ranging from microelectrode arrays, gait analysis, active transistor matrix, and wireless signaling transmission, which enables high-fidelity signal transmission and reconfigurable logic gates. Furthermore, OXene interfaces were investigated in both rodent and porcine myocardium, featuring high-quality and spatiotemporally resolved physiological recordings, while accurate differentiated predictions, enabled via various machine learning pipelines.

Acute effects of L-DOPA/carbidopa/buspirone (Spinalon™) on rhythmic electrical activity of the lumbosacral spinal cord in cats

Discovered by Guertin and colleagues in 2004, Spinalon™ is a fixed-drug combination (L-DOPA, carbidopa, and buspirone) that can acutely induce temporary episodes of rhythmic locomotor-like activity in complete or near-complete spinal cord-injured (SCI) subjects. However, little is known about the mechanisms of action or the direct effects of Spinalon™ on neural elements of the central pattern generators (CPGs). Our study aims at characterizing the effects of Spinalon™ on electrical activity of the spinal cord in segmental areas known to contain key rhythmogenic elements of the CPGs (i.e., lumbosacral) for scratching and locomotion. We recorded spinal cord dorsum signals from decerebrate cats using a multielectrode array placed over the lumbosacral region. We found that a single intravenous injection of 100/25/7.5 mg/kg L-DOPA/carbidopa/buspirone (Spinalon™) specifically reduced the amplitude of electrical sinusoidal waves associated with fictive scratching and promoted the appearance of electrical sinusoidal-like waves occurring at frequencies compatible with fictive locomotion. These observations suggest a profound impact of Spinalon™ on the lumbosacral CPGs.

Multimodal evaluation of network activity and optogenetic interventions in human hippocampal slices.

Seizures are made up of the coordinated activity of networks of neurons, suggesting that control of neurons in the pathologic circuits of epilepsy could allow for control of the disease. Optogenetics has been effective at stopping seizure-like activity in non-human disease models by increasing inhibitory tone or decreasing excitation, although this effect has not been shown in human brain tissue. Many of the genetic means for achieving channelrhodopsin expression in non-human models are not possible in humans, and vector-mediated methods are susceptible to species-specific tropism that may affect translational potential. Here we demonstrate adeno-associated virus-mediated, optogenetic reductions in network firing rates of human hippocampal slices recorded on high-density microelectrode arrays under several hyperactivity-provoking conditions. This platform can serve to bridge the gap between human and animal studies by exploring genetic interventions on network activity in human brain tissue.

The Effect of the Optogenetic Stimulation of Astrocytes on Neural Network Activity in an In Vitro Model of Alzheimer's Disease.

Optogenetics is a combination of optical and genetic technologies used to activate or, conversely, inhibit specific cells in living tissues. The possibilities of using optogenetics approaches for the treatment of epilepsy, Parkinson's and Alzheimer's disease (AD) are being actively researched. In recent years, it has become clear that one of the most important players in the development of AD is astrocytes. Astrocytes affect amyloid clearance, participate in the development of neuroinflammation, and regulate the functioning of neural networks. We used an adeno-associated virus carrying the glial fibrillary acidic protein (GFAP) promoter driving the optogenetic channelrhodopsin-2 (ChR2) gene to transduce astrocytes in primary mouse hippocampal cultures. We recorded the bioelectrical activity of neural networks from day 14 to day 21 of cultivation using multielectrode arrays. A single optogenetic stimulation of astrocytes at 14 day of cultivation (DIV14) did not cause significant changes in neural network bioelectrical activity. Chronic optogenetic stimulation from DIV14 to DIV21 exerts a stimulatory effect on the bioelectrical activity of primary hippocampal cultures (the proportion of spikes included in network bursts significantly increased since DIV19). Moreover, chronic optogenetic stimulation over seven days partially preserved the activity and functional architecture of neuronal network in amyloidosis modeling. These results suggest that the selective optogenetic activation of astrocytes may represent a promising novel therapeutic strategy for combating AD.

Pathological microcircuits initiate epileptiform events in patient hippocampal slices.

How seizures begin at the level of microscopic neural circuits remains unknown. High-density CMOS microelectrode arrays provide a new avenue for investigating neuronal network activity, with unprecedented spatial and temporal resolution. We use high-density CMOS-based microelectrode arrays to probe the network activity of human hippocampal brain slices from six patients with mesial temporal lobe epilepsy in the presence of hyperactivity promoting media. Two slices from the dentate gyrus exhibited epileptiform activity in the presence of low magnesium media with kainic acid. Both slices displayed an electrophysiological phenotype consistent with a reciprocally connected circuit, suggesting a recurrent feedback loop is a key driver of epileptiform onset. Larger prospective studies are needed, but these findings have the potential to elucidate the network signals underlying the initiation of seizure behavior.

Multiscale Cloud-based Pipeline for Neuronal Electrophysiology Analysis and Visualization.

Electrophysiology offers a high-resolution method for real-time measurement of neural activity. The vast amount of data generated requires efficient storage and sophisticated processing to extract neural function and network dynamics. However, analysis is often challenging due to the need for multiple software tools with different runtime dependencies. Longitudinal recordings from high-density microelectrode arrays (HD-MEAs) can be of considerable size for local storage, complicating data management, sharing, and backup. To address these challenges, we developed an open-source cloud-based pipeline to store, analyze, and visualize neuronal electrophysiology recordings from HD-MEAs. This pipeline is dependency agnostic by utilizing cloud storage, cloud computing resources, and an Internet of Things messaging protocol. We containerized the analysis algorithms to serve as scalable and flexible building blocks within the pipeline. We designed graphical user interfaces and command line tools to remove the requirement of programming skills. The interactive visualizations provide multi-modality information on various neuronal features. This cloud-based pipeline is an efficient solution for electrophysiology data processing, the limitations of local software tools, and storage constraints. It simplifies the electrophysiology data analysis process and facilitates understanding neuronal activity. In this paper, we applied this pipeline on two types of cultures, cortical organoids and ex vivo brain slice recordings.

Epileptiform activity in brain organoids derived from patient with Glucose Transporter 1 Deficiency Syndrome.

Glucose Transporter 1-Deficiency Syndrome (GLUT1-DS) is a rare genetic disorder caused by mutations in the gene encoding for GLUT1 and characterized by impaired glucose uptake in the brain. This leads to brain hypometabolism and the development of symptoms that include epilepsy, motor dysfunctions and cognitive impairment. The development of patient-specific in vitro models is a valuable tool for understanding the pathophysiology of rare genetic disorders and testing new therapeutic interventions. In this study, we generated brain organoids from induced pluripotent stem cells (iPSCs) derived either from a GLUT1-DS patient or a healthy individual. The functional organoids were analyzed for cellular composition, maturity, and electrophysiological activity using a custom-made microelectrode array (MEA) platform, which allowed for the detection of spikes, burst patterns, and epileptiform discharges. Immunostaining revealed a similar distribution of neurons and astrocytes in both healthy and GLUT1-DS brain organoids, though GLUT1-DS brain organoids exhibited reduced cellular density and smaller overall size. Electrophysiological recordings demonstrated functional spike profiles in both organoid types. Notably, our study demonstrates that brain organoids derived from a GLUT1-DS patient exhibit distinct epileptiform activity and heightened sensitivity to glucose deprivation, reflecting key features of the disorder. These findings validate the use of brain organoids as a model for studying GLUT1-DS and highlight their potential for testing novel therapeutic strategies aimed at improving glucose metabolism and managing epilepsy in patients.

Dynamic changes in the structure and function of brain mural cells around chronically implanted microelectrodes

Integration of neural interfaces with minimal tissue disruption in the brain is ideal to develop robust tools that can address essential neuroscience questions and combat neurological disorders. However, implantation of intracortical devices provokes severe tissue inflammation within the brain, which requires a high metabolic demand to support a complex series of cellular events mediating tissue degeneration and wound healing. Pericytes, peri-vascular cells involved in blood-brain barrier maintenance, vascular permeability, waste clearance, and angiogenesis, have recently been implicated as potential perpetuators of neurodegeneration in brain injury and disease. While the intimate relationship between pericytes and the cortical microvasculature have been explored in other disease states, their behavior following microelectrode implantation, which is responsible for direct blood vessel disruption and dysfunction, is currently unknown. Using two-photon microscopy we observed dynamic changes in the structure and function of pericytes during implantation of a microelectrode array over a 4-week implantation period. Pericytes respond to electrode insertion through transient increases in intracellular calcium and underlying constriction of capillary vessels. Within days following the initial insertion, we observed an influx of new, proliferating pericytes which contribute to new blood vessel formation. Additionally, we discovered a potentially novel population of reactive immune cells in close proximity to the electrode-tissue interface actively engaging in encapsulation of the microelectrode array. Finally, we determined that intracellular pericyte calcium can be modulated by intracortical microstimulation in an amplitude- and frequency-dependent manner. This study provides a new perspective on the complex biological sequelae occurring at the electrode-tissue interface and will foster new avenues of potential research consideration and lead to development of more advanced therapeutic interventions towards improving the biocompatibility of neural electrode technology.