Drug evaluations using neuronal networks cultured on microelectrode arrays

We used spontaneously active neuronal networks derived from dissociated embryonic murine spinal cord and auditory cortex and grown on substrate-integrated thin-film microelectrodes to determine characteristic responses to the cannabinoid agonists anandamide (AN) and methanandamide (MA). AN and MA reversibly inhibited spike and burst production in both tissue types. Responses of 21 cultures ranging in age from 23 to 111 days in vitro (d.i.v.) showed high intra- and inter-culture reproducibility at all ages. However, responses were tissue and substance-dependent. AN and MA were equipotent in cortical cultures and terminated bursting and spiking at 2.5 +/- 0.9 microM (n = 10). Spinal cultures were shut-off by 1.3 +/- 0.7 microM (n = 15) AN, but required 5.8 +/- 1.2 microM MA for activity cessation. MA, but not AN, demonstrated a biphasic influence: excitation at 0.25-3.5 microM and suppression at 4-7.1 microM. Palmitoylethanolamide, a related lipophilic molecule with no reported binding to the CBI receptor (to which AN and MA bind in the central nervous system), did not affect network activity at concentrations up to 6.5 microM. Irreversible cessation of activity was observed after 30 min applications of AN or MA at > 7 microM.     

Characterization of synchronized bursts in cultured hippocampal neuronal networks with learning training on microelectrode arrays

Spontaneous synchronized bursts seem to play a key role in brain functions such as learning and memory. Still controversial is the characterization of spontaneous synchronized bursts in neuronal networks after learning training, whether depression or promotion. By taking advantages of the main features of the microelectrode array (MEA) technology (i.e. multisite recordings, stable and long-term coupling with the biological preparation), we analyzed changes of spontaneous synchronized bursts in cultured hippocampal neuronal networks after learning training. And for this purpose, a learning model at networking level on MEA system was constructed, and analysis of spontaneous synchronized burst activity modulation was presented. Preliminary results show that, the number of burst was increased by 154%, burst duration was increased by 35%, and the number of spikes per burst was increased by 124%, while interburst interval decreased by 44% with learning. In particular, correlation and synchrony of neuronal activities in networks were enhanced by 51% and 36%, respectively, with learning. In contrast, dynamic properties of neuronal networks were not changed much when the network was under “non-learning” condition. These results indicate that firing, association and synchrony of spontaneous bursts in neuronal networks were promoted by learning. Furthermore, from these observations, we are encouraged to think of a more engineered system based on in vitro hippocampal neurons, as a novel sensitive system for electrophysiological evaluations.     

Measurement of electrical activity of long-term mammalian neuronal networks on semiconductor neurosensor chips and comparison with conventional microelectrode arrays

Based on complementary metal-oxide semiconductor (CMOS) technology a neurosensor chip with passive palladium electrodes was developed. The CMOS technology allows a high reproducibility of the sensors as well as miniaturization and the on-chip integration of electronics. Networks of primary neurones were taken from murine foetal spinal cord (day 14) and frontal cortex (day 15) tissues and cultured on the silicon surface in a chamber volume of 200 microl with 7 mm diameter. Measurements were performed between days 15 and 59 in vitro. Signals were recorded from both types of cultures. To test the capability of the system to detect pharmacologically induced activity changes two established neuromodulators were applied. The GABA(A)-receptor blocker bicuculline was applied to both tissue cultures, the glycine-receptor blocker strychnine to spinal cord cultures. Four network frequency parameters were analysed: spike rate (SR), burst rate (BR), frequency in bursts (FiB) and peak frequency in bursts (PFiB). Significant changes of spike rate and burst rate were measured with spinal cord cultures after bicuculline application. Significant changes of frequency in bursts and peak frequency in bursts were observed with frontal cortex cultures after bicuculline application. Significant changes of spike rate and frequency in bursts were recorded with spinal cord cultures after strychnine application. These results were compared with results achieved in the same laboratory by using glass-microelectrode arrays (MEAs). This comparison showed for spinal cord similar native spike and burst rate, but higher mean frequency and peak frequency in bursts, whereas frontal cortex activity had higher spike and burst rate and peak frequency in bursts. Application of bicuculline or strychnine to spinal cord networks showed stronger effects on MEAs, whereas with frontal cortex networks the modulation of activity was similar after application of bicuculline.     

Selectivity of stimulus induced responses in cultured hippocampal networks on microelectrode arrays

Sensory information can be encoded using the average firing rate and spike occurrence times in neuronal network responses to external stimuli. Decoding or retrieving stimulus characteristics from the response pattern generally implies that the corresponding neural network has a selective response to various input signals. The role of various spiking activity characteristics (e.g., spike rate and precise spike timing) for basic information processing was widely investigated on the level of neural populations but gave inconsistent evidence for particular mechanisms. Multisite electrophysiology of cultured neural networks grown on microelectrode arrays is a recently developed tool and currently an active research area. In this study, we analyzed the stimulus responses represented by network-wide bursts evoked from various spatial locations (electrodes). We found that the response characteristics, such as the burst initiation time and the spike rate, can be used to retrieve information about the stimulus location. The best selectivity in the response spiking pattern could be found for a small subpopulation of neurones (electrodes) at relatively short post-stimulus intervals. Such intervals were unique for each culture due to the non-uniform organization of the functional connectivity in the network during spontaneous development.     

The origin of spontaneous synchronized burst in cultured neuronal networks based on multi-electrode arrays

Many neural networks in mammalian central nervous system (CNS) fire single spike and complex spike burst. In fact, the conditions for triggering burst are not well understood. In the paper multi-electrode arrays (MEA) are used to record the spontaneous electrophysiological activities of cultured rat hippocampal neuronal network for a long time. After about 3 weeks culture, a transition from single spike to burst is observed in several networks. All of these spikes fire quickly before burst begins. The firing rate during the burst is lower than that just before the burst, but differences of inter-spike intervals (ISIs) between two firing patterns are not clear. Moreover, the electrical activities on neighboring electrodes show strong synchrony during the burst activities. In a word, the generation of the burst requires that network should have a sufficient level of excitation as well as a balance of synaptic inhibition.     

Studying the mechanisms of genomic and synaptic plasticity in neuronal cultures with microelectrode arrays

The plasticity of neural networks is a complex process determined by changes in physiological status, gene expression and phenotype of a cell. A detailed study of this process dynamics requires the simultaneous recording of electrical and genomic activities in networks of neurons. This sets up one of the tasks for modern neuroscience as development of integration of electrophysiology and molecular biology methods. In the paper we review the current approaches to such integration, as well as the choice of molecular markers for detection of genomic and synaptic plasticity of neurons by use of physiological micro-sensorial system based on neuronal cells cultured on the micro-electrode arrays.     

Networks of neurons coupled to microelectrode arrays: a neuronal sensory system for pharmacological applications

Two main features make microelectrode arrays (MEAs) a valuable tool for electrophysiological measurements under the perspective of pharmacological applications, namely: (i) they are non-invasive and permit, under appropriate conditions, to monitor the electrophysiological activity of neurons for a long period of time (i.e. from several hours up to months); (ii) they allow a multi-site recording (up to tens of channels). Thus, they should allow a high-throughput screening while reducing the need for animal experiments. In this paper, by taking advantages of these features, we analyze the changes in activity pattern induced by the treatment with specific substances, applied on dissociated neurons coming from the chick-embryo spinal cord. Following pioneering works by Gross and co-workers (see e.g. Gross and Kowalski, 1991. Neural Networks, Concepts, Application and Implementation, vol. 4. Prentice Hall, NJ, pp. 47-110; Gross et al., 1992. Sensors Actuators, 6, 1-8.), in this paper analysis of the drugs' effects (e.g. NBQX, CTZ, MK801) to the collective electrophysiological behavior of the neuronal network in terms of burst activity, will be presented. Data are simultaneously recorded from eight electrodes and besides variations induced by the drugs also the correlation between different channels (i.e. different area in the neural network) with respect to the chemical stimuli will be introduced (Bove et al., 1997. IEEE Trans. Biomed. Eng., 44, 964-977.). Cultured spinal neurons from the chick embryo were chosen as a neurobiological system for their relative simplicity and for their reproducible spontaneous electrophysiological behavior. It is well known that neuronal networks in the developing spinal cord are spontaneously active and that the presence of a significant and reproducible bursting activity is essential for the proper formation of muscles and joints (Chub and O'Donovan, 1998. J. Neurosci., 1, 294-306.). This fact, beside a natural variability among different biological preparations, allows a comparison also among different experimental session giving reliable results and envisaging a definition of a bioelectronic 'neuronal sensory system'.     

Functional connectivity fMRI of the rodent brain: comparison of functional connectivity networks in rat and mouse

At present, resting state functional MRI (rsfMRI) is increasingly used in human neuropathological research. The present study aims at implementing rsfMRI in mice, a species that holds the widest variety of neurological disease models. Moreover, by acquiring rsfMRI data with a comparable protocol for anesthesia, scanning and analysis, in both rats and mice we were able to compare findings obtained in both species. The outcome of rsfMRI is different for rats and mice and depends strongly on the applied number of components in the Independent Component Analysis (ICA). The most important difference was the appearance of unilateral cortical components for the mouse resting state data compared to bilateral rat cortical networks. Furthermore, a higher number of components was needed for the ICA analysis to separate different cortical regions in mice as compared to rats.     

Multi-scale modeling of complex neuronal networks: a view towards striatal cholinergic pattern formations

The phenomena related to brain function occur as the interplay of various modules at different spatial and temporal scales. Particularly, the integration of the dynamical behavior of cells within the complex brain topology reveals a heterogeneous multi-scale problem, which has, to date, mainly been addressed by methods of statistical physics such as mean-field approximations. In contrast, the present study introduces an abstract mathematical model of a deterministic nature that provides a robust integral transformation of the microscopic activities into macroscopic spatiotemporal patterns. The existence of the transformation operator is guaranteed by the convergence of a repetitive patching of the network domain with its fundamental domains that express the local topologies of the tissue. Depending on the choice of the local connectivity function, this framework represents a computationally efficient generalization of the classical Kirchhoff’s, Hebbian, and Hopfield’s approaches. The capabilities of this multi-scale method have been evaluated within the structure of the dorsal striatum of rats, a brain region with major involvement in motor and cognitive information processing. Numerical simulations suggest the formation of characteristic spatiotemporal patterns due to the activation of cholinergic interneurons.     

Stimulation with a low-amplitude, digitized synaptic signal to invoke robust activity within neuronal networks on multielectrode arrays

Multielectrode arrays (MEAs) are used for analysis of neuronal activity. Here we report two variations on commonly accepted techniques that increase the precision of extracellular electrical stimulation: (i) the use of a low-amplitude recorded spontaneous synaptic signal as a stimulus waveform and (ii) the use of a specific electrode within the array adjacent to the stimulus electrode as a hard-grounded stimulus signal return path. Both modifications remained compatible with manipulation of neuronal networks. In addition, localized stimulation with the low-amplitude synaptic signal allowed selective stimulation or inhibition of otherwise spontaneous signals. These findings indicate that minimizing the area of the culture impacted by external stimulation allows modulation of signaling patterns within subpopulations of neurons in culture. The simple modifications described herein may be useful for precise monitoring and manipulation of neuronal networks.     

Skeletal myotube integration with planar microelectrode arrays in vitro for spatially selective recording and stimulation: a comparison of neuronal and myotube extracellular action potentials

Microelectrode array (MEA) technology holds tremendous potential in the fields of biodetection, lab-on-a-chip applications, and tissue engineering by facilitating noninvasive electrical interaction with cells in vitro. To date, significant efforts at integrating the cellular component with this detection technology have worked exclusively with neurons or cardiac myocytes. We investigate the feasibility of using MEAs to record from skeletal myotubes derived from primary myoblasts as a way of introducing a third electrogenic cell type and expanding the potential end applications for MEA-based biosensors. We find that the extracellular action potentials (EAPs) produced by spontaneously contractile myotubes have similar amplitudes to neuronal EAPs. It is possible to classify myotube EAPs by biological signal source using a shape-based spike sorting process similar to that used to analyze neural spike trains. Successful spike-sorting is indicated by a low within-unit variability of myotube EAPs. Additionally, myotube activity can cause simultaneous activation of multiple electrodes, in a similar fashion to the activation of electrodes by networks of neurons. The existence of multiple electrode activation patterns indicates the presence of several large, independent myotubes. The ability to identify these patterns suggests that MEAs may provide an electrophysiological basis for examining the process by which myotube independence is maintained despite rapid myoblast fusion during differentiation. Finally, it is possible to use the underlying electrodes to selectively stimulate individual myotubes without stimulating others nearby. Potential uses of skeletal myotubes grown on MEA substrates include lab-on-a-chip applications, tissue engineering, co-cultures with motor neurons, and neural interfaces.     

Improving the efficiency of gene replacements in Neurospora crassa: a first step towards a large-scale functional genomics project

Here, we report the use of the mating type heterokaryon incompatibility system as a counterselection to increase the probability of identifying gene replacements in Neurospora crassa. We compared the frequencies of gene replacements observed among transformants obtained by using plasmids with or without the mat a-1(+) gene (hereby called "Toxic Gene") placed adjacent to disruption cassettes. On an average, we were 20x more likely to identify a correct gene replacement by incorporating the toxic gene in our constructs. Using this strategy, we constructed strains containing a deletion of the inl (1L-myo-inositol-1-phosphate synthase) gene. Finally, we demonstrated that we were able to remove the transformation marker (the hygromycin B phosphotransferase- thymidine kinase gene fusion [hph(+)::tk(+)]) from the genome by using a strategy similar to the "URA-blaster" strategy used in yeast, which we call "tk-blaster."     

Loading red blood cells with trehalose: a step towards biostabilization

A method for freeze-drying red blood cells (RBCs) while maintaining a high degree of viability has important implications in blood transfusion and clinical medicine. The disaccharide trehalose, found in animals capable of surviving dehydration can aid in this process. As a first step toward RBC preservation, we present a method for loading RBCs with trehalose. The method is based on the thermal properties of the RBC plasma membranes and provides efficient uptake of the sugar at 37 degrees C in a time span of 7 h. The data show that RBCs can be loaded with trehalose from the extracellular medium through a combination of osmotic imbalance and the phospholipid phase transition, resulting in intracellular trehalose concentrations of about 40 mM. During the loading period, the levels of ATP and 2,3-DPG are maintained close to the levels of fresh RBCs. Increasing the membrane fluidity through the use of a benzyl alcohol results in a higher concentration of intracellular trehalose, suggesting the importance of the membrane physical state for the uptake of the sugar. Osmotic fragility data show that trehalose exerts osmotic protection on RBCs. Flow cytometry data demonstrate that incubation of RBCs in a hypertonic trehalose solution results in a fraction of cells with different complexity and that it can be removed by washing and resuspending the RBCs in an iso-osmotic medium. The data provide an important first step in long-term preservation of RBCs.     

Constraining functional hypotheses: controls on the morphology of the concavo-convex brachiopod Rafinesquina

The concavo-convex shape of strophomenoid brachiopods has been inferred to be adaptive to a free-lying state. Such functional hypotheses should be constrained by identifying the factors controlling morphology. A typical strophomenoid, Rafinesquina alternata, is used here to study morphological influences. Specimens of R. alternata were collected from ten localities in Indiana, USA. Beds are Upper Ordovician (Richmondian) mudstones and limestones of the Dillsboro and Whitewater Formations. Length and hingeline width of the pedicle valve were measured, and elongation (length divided by width) calculated for each specimen. Specimens were qualitatively identified as geniculate or arcuate. Regression analyses using stratigraphy (time), mudstone percentage (substrate), grainstone percentage (disturbance), ratio of Strophomena planumbona to R. alternata (competition), and length (ontogeny) as independent variables, were performed to determine the factors influencing morphology. Elongation was most strongly influenced by grainstone percentage and the S. planumbona ratio. Populations of R. alternata from grainstonerich intervals are less elongate than other samples. The lateral margins of transverse R. alternata may have functioned as sediment traps during periods of high turbidity. Alternatively, variation in elongation may be a character displacement due to interspecific competition with the related S. planumbona, which is inferred to have had a similar life mode. R. alternata specimens found in beds dominated by S. planumbona are more elongate than R. alternata from beds in which S. planumbona is rare or absent. Geniculation was influenced by stratigraphic position, suggesting an evolutionary trend, and by limestone percentage. Geniculate individuals are most common in muddier intervals, supporting the hypothesis that geniculation enabled R. alternata to employ an ‘iceberg’ strategy, ‘floating’ convex down on the soft muds. The habitat distribution of R. alternata is inconsistent with the hypothesis that concavo-convex brachiopods lived convex-valve-up, as suggested by Lescinsky (1995). Both elongation and geniculation may be examples of phenotypic plasticity.     

Timing of neural commands: a model study with neuronal networks

Networks constructed of biologically realistic model neurons (neuroids) were used to study how in a neural assembly using pulse (interval)-coded information slow rhythmical oscillations with possible mode transitions might occur and how the efferent commands might be structured and their phase-shifts created. The simulations show that slow oscillations (in the hertz range) can be derived from reverberatory spiking in relatively short closed loops (fewer than ten neuroids) with the inputs protected against disturbing afferent signals and the outputs coupled by convergence on a common neuroid. Slow oscillations can be modified by a tonic activity entering the network; this activity changes the transmission time in the coupled loops involved. The structuring of the regulatory commands (in the millisecond range) was achieved by simulation of sequential activity propagation in a non-ring neuronal assembly supervised by a tonic activity in a set of inputs. The tonic activity acted as an instructive signal influencing the pattern of the functional connectivity in such a way that a particular efferent command was generated by the instructed network. Received: 3 March 1997 / Accepted in revised form: 15 July 1997     

Micropatterned substrates for the growth of functional neuronal networks of defined geometry

The in vitro assembly of neuronal networks with control over cell position and connectivity is a fascinating approach not only for topics in basic neuroscience research but also in diverse applications such as biosensors and tissue engineering. We grew rat embryonic cortical neurons on patterned substrates created by microcontact printing. Polystyrene was used as a cell repellent background, onto which a grid pattern of physiological proteins was applied. We printed laminin and a mixture of extracellular matrix proteins and additionally both systems mixed with polylysine. Attachment of cells to the pattern with high fidelity as well as the formation of chemical synapses between neighboring cells on the pattern could be observed in all four cases, but cell attachment was strongly increased on samples containing polylysine. Neurons grown on patterned substrates had a membrane capacity smaller than that of neurons on homogeneously coated controls, which we attributed to the geometrical restrictions, but did not differ either in resting membrane potential or in the quality of synapses they formed. We therefore believe that the cells attach and differentiate normally on the pattern and form functional, mature synapses following the predefined geometry.     

Modified thalamocortical model: A step towards more understanding of the functional contribution of astrocytes to epilepsy

It is evident that the cortex plays a primary role in seizure generation. At the same time, various experimental results clearly confirm that thalamic neurons are also actively involved in seizure generation and spreading. On the other hand, recent neurophysiologic findings suggest that astrocytes regulate dynamically the synaptic activity in neuronal networks. Therefore, in the present study, the thalamocortical neural population model (TCPM) is modified by embedding into the model the functional role of astrocytes in the regulation of synaptic transmission. Using the modified TCPM (MTCPM) we examined the hypothesis that one of the possible causes of neural hypersynchronization is the dysfunction of astrocytes in the regulatory feedback loop. Then, two MTCPMs are coupled via excitatory synapses and the astrocytes are also coupled together through gap junctions. Utilizing the MTCPM and CMTCPM, the transition from normal to malfunctioned states is analyzed using a dynamical system approach. In this way, the hypothesis is investigated and it is demonstrated that the healthy astrocytes provide feedback control to regulate neural activity. That is, the astrocytes compensate to a large extent variations in the coupling between neural populations and maintain the balance between the excitation and inhibition levels. However, the malfunctioned astrocytes are no longer able to regulate and/or compensate the excessive increase of the inter-population coupling strength. As a consequence, disruption of the signaling function of astrocytes could contribute to the neuronal hyperexcitability and generating epileptiform activity. These results suggest that astrocytes might be one of the potential targets for the treatment of epilepsy.     

Modelling the influence of landscape connectivity on animal distribution: a functional grain approach

Landscape change may reduce the connectivity of landscapes and impact the movement of animals. If movement processes have been influenced by landscape connectivity, we hypothesize that animals may distribute themselves in larger connected regions of the landscape in order to minimize the movement costs associated with obtaining required resources and avoiding predators. We adopt the term functional grain to describe a set of functionally connected regions. In this spatial pattern, each region describes a contiguous area of the landscape within which an animal may move freely below a threshold amount of movement cost. We used telemetry data from woodland caribou Rangifer tarandus caribou to test hypothetical functional grains where connectivity was determined by the spatial configuration of resource patches (patch only), by the resistance to movement presented by landscape features (resistance only), and by a combination of the two (patch + resistance). To identify these functional grains, we used a grains of connectivity approach, and introduced a novel lattice‐based variant of this method to build the resistance only model. We developed a measure of fit that describes caribou distribution with respect to larger functionally connected regions in the grain, and used this to ask: 1) are seasonal caribou locations consistent with a random functional grain, implying that landscape connectivity has not shaped their distribution? 2) Given a functional grain model, are seasonal caribou locations distributed in larger functionally connected regions than random points, implying a response to the shape, size, and location of the connected regions. We found support for landscape connectivity influencing animal distribution using grains based on a landscape resistance model, and that support varied between behaviourally defined seasons. We also discuss how our novel lattice approach may be valuable for highly mobile mammals and other species where the identification of resource patches is a limitation.