Multi-electrode Array Technology Research Articles

Enhanced electrophysiological activity and neurotoxicity screening of environmental chemicals using 3D neurons from human neural precursor cells purified with PSA-NCAM

The assessment of neurotoxicity for environmental chemicals is of utmost importance in ensuring public health and environmental safety. Multielectrode array (MEA) technology has emerged as a powerful tool for assessing disturbances in the electrophysiological activity. Although human embryonic stem cell (hESC)-derived neurons have been used in MEA for neurotoxicity screening, obtaining a substantial and sufficiently active population of neurons from hESCs remains challenging. In this study, we successfully differentiated neurons from a large population of human neuronal precursor cells (hNPC) purified using a polysialylated neural cell adhesion molecule (PSA-NCAM), referred to as hNPCPSA-NCAM+. The functional characterization demonstrated that hNPCPSA-NCAM+-derived neurons improve functionality by enhancing electrophysiological activity compared to total hNPC-derived neurons. Furthermore, three-dimensional (3D) neurons derived from hNPCPSA-NCAM+ exhibited reduced maturation time and enhanced electrophysiological activity on MEA. We employed subdivided population analysis of active mean firing rate (MFR) based on electrophysiological intensity to characterize the electrophysiological properties of hNPCPSA-NCAM+-3D neurons. Based on electrophysiological activity including MFR and burst parameters, we evaluated the sensitivity of hNPCPSA-NCAM+-3D neurons on MEA to screen both inhibitory and excitatory neuroactive environmental chemicals. Intriguingly, electrophysiologically active hNPCPSA-NCAM+-3D neurons demonstrated good sensitivity to evaluate neuroactive chemicals, particularly in discriminating excitatory chemicals. Our findings highlight the effectiveness of MEA approaches using hNPCPSA-NCAM+-3D neurons in the assessment of neurotoxicity associated with environmental chemicals. Furthermore, we emphasize the importance of selecting appropriate signal intensity thresholds to enhance neurotoxicity prediction and screening of environmental chemicals.

Abstract P3060: Modeling Immune Checkpoint Inhibitor Associated Myocarditis In Vitro

Introduction: Immune checkpoint inhibitor-associated myocarditis (ICI myocarditis) is a severe side effect of treating malignancies with immune checkpoint inhibitors. Patients suffering from ICI myocarditis often display an extraordinarily high mortality rate. Establishing a clinically relevant model to address the lack of identifiable risk factors, screening tests, or effective treatments is critically urgent. Hypothesis: Human ICI myocarditis can be accurately modeled in vitro. Methods and Results: We present the first cell culture-based model of ICI myocarditis. We use a novel method to co-culture human iPSC-derived cardiomyocytes (hiPSC-CM), human peripheral blood mononuclear cells, and immune checkpoint inhibitors to recapitulate critical aspects of clinical ICI myocarditis. Using this platform, we show rapid, significant cardiomyocyte necrosis after model initiation. We observe substantial disruption to hiPSC-CM cell morphology and sarcomere structure, and we use powerful multi-electrode array technology to define contractile functions and electrophysiological changes, demonstrating the critical similarities between this cell-based ICI myocarditis model and patient myocarditis. Our model also reveals an increased risk of arrhythmia, recapitulating, in vitro , the primary cause of death in patients suffering from ICI myocarditis. Finally, we demonstrate that this hiPSC-CM-based “model in a dish” can be rescued pharmacologically and identify specific leukocyte populations required for myocarditis development. In summary, we present the first in vitro model of ICI myocarditis and demonstrate its scalability, validity, patient relevance, and reproducibility. Utilizing the model can aid in accomplishing precision medicine objectives and holds significant potential for preventing and treating ICI myocarditis.

Human neural network activity reacts to gravity changes in vitro.

During spaceflight, humans experience a variety of physiological changes due to deviations from familiar earth conditions. Specifically, the lack of gravity is responsible for many effects observed in returning astronauts. These impairments can include structural as well as functional changes of the brain and a decline in cognitive performance. However, the underlying physiological mechanisms remain elusive. Alterations in neuronal activity play a central role in mental disorders and altered neuronal transmission may also lead to diminished human performance in space. Thus, understanding the influence of altered gravity at the cellular and network level is of high importance. Previous electrophysiological experiments using patch clamp techniques and calcium indicators have shown that neuronal activity is influenced by altered gravity. By using multi-electrode array (MEA) technology, we advanced the electrophysiological investigation covering single-cell to network level responses during exposure to decreased (micro-) or increased (hyper-) gravity conditions. We continuously recorded in real-time the spontaneous activity of human induced pluripotent stem cell (hiPSC)-derived neural networks in vitro. The MEA device was integrated into a custom-built environmental chamber to expose the system with neuronal cultures to up to 6 g of hypergravity on the Short-Arm Human Centrifuge at the DLR Cologne, Germany. The flexibility of the experimental hardware set-up facilitated additional MEA electrophysiology experiments under 4.7 s of high-quality microgravity (10-6 to 10-5 g) in the Bremen drop tower, Germany. Hypergravity led to significant changes in activity. During the microgravity phase, the mean action potential frequency across the neural networks was significantly enhanced, whereas different subgroups of neurons showed distinct behaviors, such as increased or decreased firing activity. Our data clearly demonstrate that gravity as an environmental stimulus triggers changes in neuronal activity. Neuronal networks especially reacted to acute changes in mechanical loading (hypergravity) or de-loading (microgravity). The current study clearly shows the gravity-dependent response of neuronal networks endorsing the importance of further investigations of neuronal activity and its adaptive responses to micro- and hypergravity. Our approach provided the basis for the identification of responsible mechanisms and the development of countermeasures with potential implications on manned space missions.

A functional network of highly pure enteric neurons in a dish.

The enteric nervous system (ENS) is the intrinsic nervous system that innervates the entire digestive tract and regulates major digestive functions. Recent evidence has shown that functions of the ENS critically rely on enteric neuronal connectivity; however, experimental models to decipher the underlying mechanisms are limited. Compared to the central nervous system, for which pure neuronal cultures have been developed for decades and are recognized as a reference in the field of neuroscience, an equivalent model for enteric neurons is lacking. In this study, we developed a novel model of highly pure rat embryonic enteric neurons with dense and functional synaptic networks. The methodology is simple and relatively fast. We characterized enteric neurons using immunohistochemical, morphological, and electrophysiological approaches. In particular, we demonstrated the applicability of this culture model to multi-electrode array technology as a new approach for monitoring enteric neuronal network activity. This in vitro model of highly pure enteric neurons represents a valuable new tool for better understanding the mechanisms involved in the establishment and maintenance of enteric neuron synaptic connectivity and functional networks.

MEA-ToolBox: an Open Source Toolbox for Standardized Analysis of Multi-Electrode Array Data

Functional assessment of in vitro neuronal networks—of relevance for disease modelling and drug testing—can be performed using multi-electrode array (MEA) technology. However, the handling and processing of the large amount of data typically generated in MEA experiments remains a huge hurdle for researchers. Various software packages have been developed to tackle this issue, but to date, most are either not accessible through the links provided by the authors or only tackle parts of the analysis. Here, we present ‘‘MEA-ToolBox’’, a free open-source general MEA analytical toolbox that uses a variety of literature-based algorithms to process the data, detect spikes from raw recordings, and extract information at both the single-channel and array-wide network level. MEA-ToolBox extracts information about spike trains, burst-related analysis and connectivity metrics without the need of manual intervention. MEA-ToolBox is tailored for comparing different sets of measurements and will analyze data from multiple recorded files placed in the same folder sequentially, thus considerably streamlining the analysis pipeline. MEA-ToolBox is available with a graphic user interface (GUI) thus eliminating the need for any coding expertise while offering functionality to inspect, explore and post-process the data. As proof-of-concept, MEA-ToolBox was tested on earlier-published MEA recordings from neuronal networks derived from human induced pluripotent stem cells (hiPSCs) obtained from healthy subjects and patients with neurodevelopmental disorders. Neuronal networks derived from patient’s hiPSCs showed a clear phenotype compared to those from healthy subjects, demonstrating that the toolbox could extract useful parameters and assess differences between normal and diseased profiles.

Multielectrode Arrays for Functional Phenotyping of Neurons from Induced Pluripotent Stem Cell Models of Neurodevelopmental Disorders

Simple SummaryMultielectrode array technology allows researchers to record the spontaneous firing activity of cultured neurons over a period of multiple weeks or months. These data can be valuable for understanding how the functional relationships between neurons evolve as they begin to form connections and wire into a functional network. This technology has been adopted by researchers using stem cells to produce human neurons in culture to study neurodevelopmental disorders. However, the dizzying complexity and scale of the data generated have posed some challenges with the analysis and interpretation of experimental results. Here, we first provide historical context as to why multielectrode array platforms were originally developed, and use this perspective to explore some of the challenges currently facing the field. We then highlight new analysis methods, provide some guidance for improving the analysis of multielectrode array data, and discuss standardizing how these findings are communicated in scientific publications.In vitro multielectrode array (MEA) systems are increasingly used as higher-throughput platforms for functional phenotyping studies of neurons in induced pluripotent stem cell (iPSC) disease models. While MEA systems generate large amounts of spatiotemporal activity data from networks of iPSC-derived neurons, the downstream analysis and interpretation of such high-dimensional data often pose a significant challenge to researchers. In this review, we examine how MEA technology is currently deployed in iPSC modeling studies of neurodevelopmental disorders. We first highlight the strengths of in vitro MEA technology by reviewing the history of its development and the original scientific questions MEAs were intended to answer. Methods of generating patient iPSC-derived neurons and astrocytes for MEA co-cultures are summarized. We then discuss challenges associated with MEA data analysis in a disease modeling context, and present novel computational methods used to better interpret network phenotyping data. We end by suggesting best practices for presenting MEA data in research publications, and propose that the creation of a public MEA data repository to enable collaborative data sharing would be of great benefit to the iPSC disease modeling community.

Large-scale neural recordings with single neuron resolution using Neuropixels probes in human cortex.

Recent advances in multi-electrode array technology have made it possible to monitor large neuronal ensembles at cellular resolution in animal models. In humans, however, current approaches restrict recordings to a few neurons per penetrating electrode or combine the signals of thousands of neurons in local field potential (LFP) recordings. Here we describe a new probe variant and set of techniques that enable simultaneous recording from over 200 well-isolated cortical single units in human participants during intraoperative neurosurgical procedures using silicon Neuropixels probes. We characterized a diversity of extracellular waveforms with eight separable single-unit classes, with differing firing rates, locations along the length of the electrode array, waveform spatial spread and modulation by LFP events such as inter-ictal discharges and burst suppression. Although some challenges remain in creating a turnkey recording system, high-density silicon arrays provide a path for studying human-specific cognitive processes and their dysfunction at unprecedented spatiotemporal resolution.

A functional hiPSC-cortical neuron differentiation and maturation model and its application to neurological disorders.

SummaryThe maturation and functional characteristics of human induced pluripotent stem cell (hiPSC)-cortical neurons has not been fully documented. This study developed a phenotypic model of hiPSC-derived cortical neurons, characterized their maturation process, and investigated its application for disease modeling with the integration of multi-electrode array (MEA) technology. Immunocytochemistry analysis indicated early-stage neurons (day 21) were simultaneously positive for both excitatory (vesicular glutamate transporter 1 [VGlut1]) and inhibitory (GABA) markers, while late-stage cultures (day 40) expressed solely VGlut1, indicating a purely excitatory phenotype without containing glial cells. This maturation process was further validated utilizing patch clamp and MEA analysis. Particularly, induced long-term potentiation (LTP) successfully persisted for 1 h in day 40 cultures, but only achieved LTP in the presence of the GABAA receptor antagonist picrotoxin in day 21 cultures. This system was also applied to epilepsy modeling utilizing bicuculline and its correction utilizing the anti-epileptic drug valproic acid.

Use of human induced pluripotent stem cell-derived cardiomyocytes and multi-electrode array technology to explore the delayed onset of premature ventricular contractions in monkey

Use of human induced pluripotent stem cell-derived cardiomyocytes and multi-electrode array technology to explore the delayed onset of premature ventricular contractions in monkey

Orexin A excites the rat olivary pretectal nucleus via OX2 receptor in a daily manner

Pronounced environmental changes between the day and night led to evolution of specialised mechanisms organising their daily physiology, named circadian clocks. Currently, it has become clear that the master clock in the suprachiasmatic nuclei of the hypothalamus is not an exclusive brain site to generate daily rhythms. Indeed, several brain areas, including the subcortical visual system have been recently shown to change their neuronal activity across the daily cycle. Here we focus our investigation on the olivary pretectal nucleus (OPN) – a retinorecipient structure primarily involved in the pupillary light reflex. Using the multi-electrode array technology ex vivo we provide evidence for OPN neurons to elevate their firing during the behaviourally quiescent light phase. Additionally, we report the robust responsivity to orexin A via the identified OX2 receptor in this pretectal centre, with higher responsiveness noted during the night. Interestingly, we likewise report a daily variation in the response to PAC1 receptor activation, with implications for the convergence of orexinergic and visual input on the same OPN neurons. Altogether, our report is first to suggest a daily modulation of the OPN activity via intrinsic and extrinsic mechanisms, organising its temporal physiology.

Fascicle localisation within peripheral nerves through evoked activity recordings: A comparison between electrical impedance tomography and multi-electrode arrays

BackgroundThe lack of understanding of fascicular organisation in peripheral nerves limits the potential of vagus nerve stimulation therapy. Two promising methods may be employed to identify the functional anatomy of fascicles within the nerve: fast neural electrical impedance tomography (EIT), and penetrating multi-electrode arrays (MEA). These could provide a means to image the compound action potential within fascicles in the nerve. New methodWe compared the ability to localise fascicle activity between silicon shanks (SS) and carbon fibre (CF) multi-electrode arrays and fast neural EIT, with micro-computed tomography (MicroCT) as an independent reference. Fast neural EIT in peripheral nerves was only recently developed and MEA technology has been used only sparingly in nerves and not for source localisation. Assessment was performed in rat sciatic nerves while evoking neural activity in the tibial and peroneal fascicles. ResultsRecorded compound action potentials were larger with CF compared to SS (∼700 μV vs ∼300 μV); however, background noise was greater (6.3 μV vs 1.7 μV) leading to lower SNR. Maximum spatial discrimination between Centres-of-Mass of fascicular activity was achieved by fast neural EIT (402 ± 30 μm) and CF MEA (414 ± 123 μm), with no statistical difference between MicroCT (625 ± 17 μm) and CF (p > 0.05) and between CF and EIT (p > 0.05). Compared to CF MEAs, SS MEAs had a lower discrimination power (103 ± 51 μm, p < 0.05). Comparison with existing methodsEIT and CF MEAs showed localisation power closest to MicroCT. Silicon MEAs adopted in this study failed to discriminate fascicle location. Re-design of probe geometry may improve results. ConclusionsNerve EIT is an accurate tool for assessment of fascicular position within nerves. Accuracy of EIT and CF MEA is similar to the reference method. We give technical recommendations for performing multi-electrode recordings in nerves.

Discovering Effective Connectivity in Neural Circuits: Analysis Based on Machine Learning Methodology.

As multielectrode array technology increases in popularity, accessible analytical tools become necessary. Simultaneous recordings from multiple neurons may produce huge amounts of information. Traditional tools based on classical statistics are either insufficient to analyze multiple spike trains or sophisticated and expensive in computing terms. In this communication, we put to the test the idea that AI algorithms may be useful to gather information about the effective connectivity of neurons in local nuclei at a relatively low computing cost. To this end, we decided to explore the capacity of the algorithm C5.0 to retrieve information from a large series of spike trains obtained from a simulated neuronal circuit with a known structure. Combinatory, iterative and recursive processes using C5.0 were built to examine possibilities of increasing the performance of a direct application of the algorithm. Furthermore, we tested the applicability of these processes to a reduced dataset obtained from original biological recordings with unknown connectivity. This was obtained in house from a mouse in vitro preparation of the spinal cord. Results show that this algorithm can retrieve neurons monosynaptically connected to the target in simulated datasets within a single run. Iterative and recursive processes can identify monosynaptic neurons and disynaptic neurons under favorable conditions. Application of these processes to the biological dataset gives clues to identify neurons monosynaptically connected to the target. We conclude that the work presented provides substantial proof of concept for the potential use of AI algorithms to the study of effective connectivity.

Poly I:C Activated Microglia Disrupt Perineuronal Nets and Modulate Synaptic Balance in Primary Hippocampal Neurons in vitro.

Perineuronal nets (PNNs) are specialized, reticular structures of the extracellular matrix (ECM) that can be found covering the soma and proximal dendrites of a neuronal subpopulation. Recent studies have shown that PNNs can highly influence synaptic plasticity and are disrupted in different neuropsychiatric disorders like schizophrenia. Interestingly, there is a growing evidence that microglia can promote the loss of PNNs and contribute to neuropsychiatric disorders. Based on this knowledge, we analyzed the impact of activated microglia on hippocampal neuronal networks in vitro. Therefore, primary cortical microglia were cultured and stimulated via polyinosinic-polycytidylic acid (Poly I:C; 50 μg/ml) administration. The Poly I:C treatment induced the expression and secretion of different cytokines belonging to the CCL- and CXCL-motif chemokine family as well as interleukin-6 (IL-6) and tumor necrosis factor-α (TNF-α). In addition, the expression of matrix metalloproteinases (MMPs) could be verified via RT-PCR analysis. Embryonic hippocampal neurons were then cultured for 12 days in vitro (DIV) and treated for 24 h with microglial conditioned medium. Interestingly, immunocytochemical staining of the PNN component Aggrecan revealed a clear disruption of PNNs accompanied by a significant increase of glutamatergic and a decrease of γ-aminobutyric acid-(GABA)ergic synapse numbers on PNN wearing neurons. In contrast, PNN negative neurons showed a significant reduction in both, glutamatergic and GABAergic synapses. Electrophysiological recordings were performed via multielectrode array (MEA) technology and unraveled a significantly increased spontaneous network activity that sustained also 24 and 48 h after the administration of microglia conditioned medium. Taken together, we could observe a strong impact of microglial secreted factors on PNN integrity, synaptic plasticity and electrophysiological properties of cultured neurons. Our observations might enhance the understanding of neuron-microglia interactions considering the ECM.

Encoding Temporal Regularities and Information Copying in Hippocampal Circuits

Discriminating, extracting and encoding temporal regularities is a critical requirement in the brain, relevant to sensory-motor processing and learning. However, the cellular mechanisms responsible remain enigmatic; for example, whether such abilities require specific, elaborately organized neural networks or arise from more fundamental, inherent properties of neurons. Here, using multi-electrode array technology, and focusing on interval learning, we demonstrate that sparse reconstituted rat hippocampal neural circuits are intrinsically capable of encoding and storing sub-second-order time intervals for over an hour timescale, represented in changes in the spatial-temporal architecture of firing relationships among populations of neurons. This learning is accompanied by increases in mutual information and transfer entropy, formal measures related to information storage and flow. Moreover, temporal relationships derived from previously trained circuits can act as templates for copying intervals into untrained networks, suggesting the possibility of circuit-to-circuit information transfer. Our findings illustrate that dynamic encoding and stable copying of temporal relationships are fundamental properties of simple in vitro networks, with general significance for understanding elemental principles of information processing, storage and replication.

Combining super-resolution microscopy with neuronal network recording using magnesium fluoride thin films as cover layer for multi-electrode array technology

We present an approach for fabrication of reproducible, chemically and mechanically robust functionalized layers based on MgF2 thin films on thin glass substrates. These show great advantages for use in super-resolution microscopy as well as for multi-electrode-array fabrication and are especially suited for combination of these techniques. The transparency of the coated substrates with the low refractive index material is adjustable by the layer thickness and can be increased above 92%. Due to the hydrophobic and lipophilic properties of the thin crystalline MgF2 layers, the temporal stable adhesion needed for fixation of thin tissue, e.g. cryogenic brain slices is given. This has been tested using localization-based super-resolution microscopy with currently highest spatial resolution in light microscopy. We demonstrated that direct stochastic optical reconstruction microscopy revealed in reliable imaging of structures of central synapses by use of double immunostaining of post- (homer1 and GluA2) and presynaptic (bassoon) marker structure in a 10 µm brain slice without additional fixing of the slices. Due to the proven additional electrical insulating effect of MgF2 layers, surfaces of multi-electrode-arrays were coated with this material and tested by voltage-current-measurements. MgF2 coated multi-electrode-arrays can be used as a functionalized microscope cover slip for combination with live-cell super-resolution microscopy.

Using Impedance Measurement to Characterize Cell-Electrode Adhesion with Customized 3D-Nanostructured Multielectrode Arrays

Multielectrode array (MEA) technology is used as an extracellular recording method to investigate the electrical activity of complex excitable cell networks and tissue slices. In this context, an array of single-contactable, sensing electrodes record the electrical field potentials induced by the ion flux across the cell membranes. Therefore, MEAs are an ideal tool to investigate network activities for prolonged periods. Still, MEA technology suffers from low-signal-to-noise ratios caused by a dissatisfied cell-electrode contact, thus revealing only limited measurements. To improve cell recording, a tight cell-electrode contact is inalienable. This can be achieved by three-dimensional micro- or nanostructures on top of the sensing electrodes. Beside the fact of increasing the electrochemically active surface area, thus leading to a decrease in the overall chip impedance, the nano-sized structures can also trigger an engulfment process of the cells. By minimizing the gap between cell and electrode, a high seal resistance can be achieved which in return results in recording of higher signal amplitudes. In this work, electrochemical concepts are used for fabrication as well as for characterizing the chips and to investigate the cell-electrode interaction.The developed process allows the fabrication of half-structured MEAs with different three-dimensional nanostructure shapes, geometries and pitch lengths and is mainly based on thermal nanoimprint lithography (NIL), gold electroplating and microstructuring techniques. During thermal NIL a customized, nanostructured master mold is pressed into a polymer resist of a wafer substrate, thus creating a negative copy of the master´s nanostructures. The subsequent electroplating step can be adjusted in a way, that it fills or overgrows the NIL templates, thereby creating different shapes. Photolithography, chemical vapor deposition and etching steps are used to fabricate the overall MEA geometry.Cyclic voltammetry as well as electrochemical impedance spectroscopy have been applied to characterize the effect of different nanostructure geometries on charge transfer, double-layer capacitance and impedance of the MEA electrodes. Compared to unstructured electrodes, charge transfer and double-layer capacitance of the nanostructured electrodes are increased, whereas the impedance of the nanostructured electrodes are decreased. These results can directly be related to an increase of the electrochemically active surface area and vary with the investigated nanostructure layout.To examine the effect of the nanostructures on cell-electrode coupling in detail and to quantify cell adhesion, impedance sensing at a fixed frequency of 1 kHz has been performed using the impedance-stable human embryonic kidney cell line HEK 293. Impedance values have been measured with and without cells. Due to the chip layout where non- and nanostructured electrodes have been included on the chip, the relative change of the impedance values could directly be correlated with cell-electrode adhesion. By this, a significant increase or decrease of cell-electrode coupling depending on the nanostructure layout could be demonstrated. For verification, action potential recordings with neural stem cells of the subventricular zone of postnatal mice have been performed, showing a distinct increase of the recorded signal amplitudes of the nanostructured electrodes compared to unstructured electrodes of the same chip. The latter might be correlated to an engulfment process of the cells. Figure: Left: Impedance measurement to quantify cell-electrode adhesion. Right: SEM picture of attached SVZ cells on top of overgrown pillar structures (Inset: Magnification, scale bar: 2 µm). Figure 1

Abstract 502: Reversible Cardiac Action Potential Recordings to Track Cellular Electrophysiology Over Days

Long-term action potential (AP) studies from the same cell site over days in multicellular preparations are currently lacking, thus limiting our understanding of cardiac physiology in development and disease. We recently reported a novel high-throughput platform for label-free AP measurements using multielectrode array (MEA) technology to gain intracellular access by way of electroporation. We hypothesized that multiple reversible electroporations of the same cell site will allow high-resolution recordings of AP waveforms without detrimental effects to the cell membrane. A total of 19 hiPSC-CM constructs on multiwell MEAs were simultaneously electroporated by employing a train of low voltage pulses (1 V, 1 ms, 1 Hz) for 30 s to elicit a transient transformation of field potentials (FPs) to APs. Waveforms were recorded from 12 electrodes per construct for electrophysiological characterization of the network. Recurrent electroporations of the same cell site at 0, 24, 48, 72 and 96 h enabled tracking of the electrophysiological evolution of the AP waveforms (see figure). We analyzed millivolt AP signals 10 s following the end of electroporation before APs reverted to FP signals strongly suggesting cell membrane recovery and network integrity for subsequent recordings. This methodology allows for screening transmembrane APs from cardiomyocyte networks over days. Overall, we present a spatio-temporal model capable of tracking FPs and APs in a non-invasive approach for cardiomyocyte functional maturation, developmental and pharmacological studies.

Cost-effective and multifunctional acquisition system for in vitro electrophysiological investigations with multi-electrode arrays.

In vitro multi-electrode array (MEA) technology is nowadays involved in a wide range of applications beyond neuroscience, such as cardiac electrophysiology and bio-interface studies. However, the cost of commercially available acquisition systems severely limits its adoption outside specialized laboratories with high budget capabilities. Thus, the availability of low-cost methods to acquire signals from MEAs is important to allow research labs worldwide to exploit this technology for an ever-expanding pool of experiments independently from their economic possibilities. Here, we provide a comprehensive toolset to assemble a multifunctional in vitro MEA acquisition system with a total cost 80% lower than standard commercial solutions. We demonstrate the capabilities of this acquisition system by employing it to i) characterize commercial MEA devices by means of electrical impedance measurements ii) record activity from cultures of HL-1 cells extracellularly, and iii) electroporate HL-1 cells through nanostructured MEAs and record intracellular signals.

Multisite Intracellular Recordings by MEA.

The enormous advances made over the last 50 years in materials science, microelectronics, and nanoelectronics, together with the acknowledgment that substrate-integrated planar multielectrode arrays (MEA) are limited to recording of extracellular field potentials (FPs) rather than the entire electrophysiological signaling repertoire of the brain, have prompted a number of laboratories to merge the advantages of planar MEA technologies (non-damaging and durable) with those of the classical sharp and patch electrodes for intracellular recordings. Unlike extracellular planar electrode-based MEAs, the new generation of three-dimensional (3D) vertical nanoelectrodes are designed to functionally penetrate the plasma membrane of cultured cells and operate in a similar manner to classical intracellular microelectrodes. Although only approximately 10 years has elapsed since the development of the first vertical 3D nanostructure-based MEAs, this technology has progressed to enable recordings of attenuated intracellular action potentials (APs) and synaptic potentials from individual neurons, cardiomyocytes, and striated myotubes. Furthermore, recently the scaling advantages of nanochip/microchip fabrication technologies enabled simultaneously intracellular recordings of APs from hundreds of cultured cardiomyocytes, thus heralding a new milestone in MEA technology.In this chapter we present the earliest and today's cutting-edge achievements of this "young vertical nano-sensors MEA technology" at the single-cell and network levels, explain the biophysical principles and the various configurations used to form functional nanoelectrode/cell hybrids, and describe the quality and characteristic features of the recorded intracellular APs and subthreshold synaptic potentials by the vertical nanoelectrode-based MEA. Basic cell-biological mechanisms that curtail the length of time intracellular access by the nanoelectrodes are discussed, and approaches to overcome this problem are offered.Recent development of biotechnologies that use induced human pluripotent stem cells taken from healthy subjects and patients, and in vitro drug screening for the development of personalized medicine as well as basic brain research will benefit tremendously from the use of MEAs that record the entire brain electrophysiological signaling repertoire from individual cells within an operational network rather than only extracellular FPs.

Assessing seizure liability using multi-electrode arrays (MEA)

The purpose of these studies was to develop ex vivo tissue-based and in vitro cell-based assays using multi-electrode array (MEA) technology to predict seizure liability at the early stage of preclinical studies. Embryonic rat hippocampal neurons and adult rat hippocampal slices were used in these studies. Spontaneous activity in cultured neurons and evoked field potentials in hippocampal brain slices were recorded using MEA technology. Six seizurogenic compounds bicuculline, pentylenetetrazole, picrotoxin, gabazine, 4-Aminopyridine and BMS-A increased field potential area and peak number in brain slices and spontaneous spike activity in hippocampal neurons. Physostigmine, another seizurogenic compound, had no effect on brain slices at lower concentrations (0.1, 1, and 10 μM), and mildly increased field potential area at 100 μM. However, physostigmine induced multiple peaks in evoked field potential starting at 10 μM. Physostigmine showed greater potency in the cultured neuron assay, and increased spike rates in the nanomolar range. Two seizurogenic compounds, BMS-B and BMS-C increased the spontaneous activity in hippocampal neurons, but did not increase area and peak number of field potentials in brain slices. These findings suggest that MEA technology and rat hippocampal brain slices or rat embryonic hippocampal neurons, may be useful as early, predictive in vitro assays for seizure liability.