Spontaneous electrical and calcium oscillations in unstimulated pituitary gonadotrophs.

Single pituitary cells often fire spontaneous action potentials (APs), which are believed to underlie spiking fluctuations in cytosolic calcium concentration ([Ca2+]i). To address how these basal [Ca2+]i fluctuations depend on changes in plasma membrane voltage (V), simultaneous measurements of V and [Ca2+]i were performed in rat pituitary gonadotrophs. The data show that each [Ca2+]i spike is produced by the Ca2+ entry during a single AP. Using these and previously obtained patch-clamp data, we develop a quantitative mathematical model of this plasma membrane oscillator and the accompanying spatiotemporal [Ca2+]i oscillations. The model demonstrates that AP-induced [Ca2+]i spiking is prominent only in a thin shell layer neighboring the cell surface. This localized [Ca2+]i spike transiently activates the Ca2(+)- dependent K+ current resulting in a sharp afterhyperpolarization following each voltage spike. In accord with experimental observations, the model shows that the frequency and amplitude of the voltage spikes are highly sensitive to current injection and to the blocking of the Ca(2+)-sensitive current. Computations also predict that leaving the membrane channels intact, the firing rate can be modified by changing the Ca2+ handling parameters: the Ca2+ diffusion rate, the Ca2+ buffering capacity, and the plasma membrane Ca2+ pump rate. Finally, the model suggests reasons that spontaneous APs were seen in some gonadotrophs but not in others. This model provides a basis for further exploring how plasma membrane electrical activity is involved in the control of cytosolic calcium level in unstimulated as well as agonist-stimulated gonadotrophs.     

Non-linear Membrane Properties in Entorhinal Cortical Stellate Cells Reduce Modulation of Input-Output Responses by Voltage Fluctuations

The presence of voltage fluctuations arising from synaptic activity is a critical component in models of gain control, neuronal output gating, and spike rate coding. The degree to which individual neuronal input-output functions are modulated by voltage fluctuations, however, is not well established across different cortical areas. Additionally, the extent and mechanisms of input-output modulation through fluctuations have been explored largely in simplified models of spike generation, and with limited consideration for the role of non-linear and voltage-dependent membrane properties. To address these issues, we studied fluctuation-based modulation of input-output responses in medial entorhinal cortical (MEC) stellate cells of rats, which express strong sub-threshold non-linear membrane properties. Using in vitro recordings, dynamic clamp and modeling, we show that the modulation of input-output responses by random voltage fluctuations in stellate cells is significantly limited. In stellate cells, a voltage-dependent increase in membrane resistance at sub-threshold voltages mediated by Na⁺ conductance activation limits the ability of fluctuations to elicit spikes. Similarly, in exponential leaky integrate-and-fire models using a shallow voltage-dependence for the exponential term that matches stellate cell membrane properties, a low degree of fluctuation-based modulation of input-output responses can be attained. These results demonstrate that fluctuation-based modulation of input-output responses is not a universal feature of neurons and can be significantly limited by subthreshold voltage-gated conductances.     

The Effect of Desflurane on Neuronal Communication at a Central Synapse

Although general anesthetics are thought to modify critical neuronal functions, their impact on neuronal communication has been poorly examined. We have investigated the effect induced by desflurane, a clinically used general anesthetic, on information transfer at the synapse between mossy fibers and granule cells of cerebellum, where this analysis can be carried out extensively. Mutual information values were assessed by measuring the variability of postsynaptic output in relationship to the variability of a given set of presynaptic inputs. Desflurane synchronized granule cell firing and reduced mutual information in response to physiologically relevant mossy fibers patterns. The decrease in spike variability was due to an increased postsynaptic membrane excitability, which made granule cells more prone to elicit action potentials, and to a strengthened synaptic inhibition, which markedly hampered membrane depolarization. These concomitant actions on granule cells firing indicate that desflurane re-shapes the transfer of information between neurons by providing a less informative neurotransmission rather than completely silencing neuronal activity.     

Vasopressin enhances a calcium current in human ACTH-secreting pituitary adenoma cells

Arginine vasopressin (AVP) is a potent secretagogue for adrenocorticotropin (ACTH) release from normal corticotropes and from ACTH-secreting pituitary adenoma cells. To explore the mechanism underlying this action, we investigated the effects of AVP on Ca2+-dependent action potentials and Ca2+ currents in cultured human ACTH-containing pituitary tumor cells (hACTH adenoma cells). Pituitary adenoma fragments removed at surgery from two patients with Cushing's disease were dispersed, and the isolated cells were grown in monolayer culture. Most of the cells showed ACTH immunoreactivity that persisted even after as much as 2 months in culture. Current clamp and voltage clamp recordings were carried out using the patch-clamp technique in the whole cell configuration. AVP produced an increase in the amplitude and duration of action potentials in these cells, and substantially enhanced the transient after-hyperpolarization after each spike. Under voltage the transient after-hyperpolarization after each spike. Under voltage clamp, hACTH adenoma cells showed two Ca2+ current components: a low-threshold, rapidly inactivating (T-type) current; and a higher threshold, slowly inactivating (L-type) current. AVP markedly increased the amplitude of the L-type current without affecting the T-type current. These data suggest that AVP may enhance Ca2+ entry associated with action potentials by potentiating the activity of L-type Ca2+ channels. The resulting rise in cytosolic free Ca2+ may be a key link in the process by which AVP stimulates ACTH release in the pituitary.     

Low-frequency voltage noise in a mammalian bone cell clone

Measurements were made of plasma membrane voltage noise in cells of a bone cell clone. The measurements were made under conditions intended to approximate in vivo conditions more closely than in previous electrical measurements on small mammalian cells. Mononuclucell of normal size, imbedded in a collagen matrix, were used. The electrical state of the cell membrane under normal conditions was characterized by low-frequency random fluctuations (noise) of high magnitude. Hyperpolarizing spikes were observed in some cells. Power spectrum analysis revealed that the random fluctuations were actually a sum of incoherent spike patterns, with spikes of the same time width as those seen in the clearly spiking patterns. This analysis, combined with similar measurements in a high [K⁺], low [Na⁺] medium, showed that the fluctuation/spiking phenomenon resulted from modulation of K⁺ and Na⁺ transport by a control process at a level higher that that of the individual channels. This process persisted when the membrane potential was depolarized. These results indicate that the membrane potential is not part of the feedback loop producing the fluctuation/spiking phenomenon.     

Relating Neuronal Firing Patterns to Functional Differentiation of Cerebral Cortex

It has been empirically established that the cerebral cortical areas defined by Brodmann one hundred years ago solely on the basis of cellular organization are closely correlated to their function, such as sensation, association, and motion. Cytoarchitectonically distinct cortical areas have different densities and types of neurons. Thus, signaling patterns may also vary among cytoarchitectonically unique cortical areas. To examine how neuronal signaling patterns are related to innate cortical functions, we detected intrinsic features of cortical firing by devising a metric that efficiently isolates non-Poisson irregular characteristics, independent of spike rate fluctuations that are caused extrinsically by ever-changing behavioral conditions. Using the new metric, we analyzed spike trains from over 1,000 neurons in 15 cortical areas sampled by eight independent neurophysiological laboratories. Analysis of firing-pattern dissimilarities across cortical areas revealed a gradient of firing regularity that corresponded closely to the functional category of the cortical area; neuronal spiking patterns are regular in motor areas, random in the visual areas, and bursty in the prefrontal area. Thus, signaling patterns may play an important role in function-specific cerebral cortical computation.     

Spatiotemporal analysis of simultaneous single-unit activity in the dragonfly

Continuous neural spiking records were obtained from the mesothoracic ganglion of the dragonfly. For analysis the 12 s records of all 58 discriminated cells were “tracked” across three continuous behavioral states: pre-flight, flight and post-flight. The recorded spike amplitudes and angles (widths) for each cell were used to construct a simple map of individual cell positions relative to each other within the ganglion. Individual cell activity patterns were then characterized both with respect to neighboring cell locations and patterns of cell spiking observed across three behavioral states. The results indicated that this technique for constructing a “neighboring cell map” effectively reflects the known histological features of the ganglionic cell architecture. The gross firing histories of individual cells were found to correspond to the overall spike patterns of neighboring ganglionic cells as opposed to more distal cells. Such relationships suggest that the physical layout of this ganglionic network may help to determine or bias individual cell firing histories that occur during different behavioral states in the dragonfly.     

Coordination of calcium signals by pituitary endocrine cells in situ

The pulsatile secretion of hormones from the mammalian pituitary gland drives a wide range of homeostatic responses by dynamically altering the functional set-point of effector tissues. To accomplish this, endocrine cell populations residing within the intact pituitary display large-scale changes in coordinated calcium-spiking activity in response to various hypothalamic and peripheral inputs. Although the pituitary gland is structurally compartmentalized into specific and intermingled endocrine cell networks, providing a clear morphological basis for such coordinated activity, the mechanisms which facilitate the timely propagation of information between cells in situ remain largely unexplored. Therefore, the aim of the current review is to highlight the range of signalling modalities known to be employed by endocrine cells to coordinate intracellular calcium rises, and discuss how these mechanisms are integrated at the population level to orchestrate cell function and tissue output.     

Stochastically Gating Ion Channels Enable Patterned Spike Firing through Activity-Dependent Modulation of Spike Probability

The transformation of synaptic input into patterns of spike output is a fundamental operation that is determined by the particular complement of ion channels that a neuron expresses. Although it is well established that individual ion channel proteins make stochastic transitions between conducting and non-conducting states, most models of synaptic integration are deterministic, and relatively little is known about the functional consequences of interactions between stochastically gating ion channels. Here, we show that a model of stellate neurons from layer II of the medial entorhinal cortex implemented with either stochastic or deterministically gating ion channels can reproduce the resting membrane properties of stellate neurons, but only the stochastic version of the model can fully account for perithreshold membrane potential fluctuations and clustered patterns of spike output that are recorded from stellate neurons during depolarized states. We demonstrate that the stochastic model implements an example of a general mechanism for patterning of neuronal output through activity-dependent changes in the probability of spike firing. Unlike deterministic mechanisms that generate spike patterns through slow changes in the state of model parameters, this general stochastic mechanism does not require retention of information beyond the duration of a single spike and its associated afterhyperpolarization. Instead, clustered patterns of spikes emerge in the stochastic model of stellate neurons as a result of a transient increase in firing probability driven by activation of HCN channels during recovery from the spike afterhyperpolarization. Using this model, we infer conditions in which stochastic ion channel gating may influence firing patterns in vivo and predict consequences of modifications of HCN channel function for in vivo firing patterns.     

Spike correlations in a songbird agree with a simple markov population model

The relationships between neural activity at the single-cell and the population levels are of central importance for understanding neural codes. In many sensory systems, collective behaviors in large cell groups can be described by pairwise spike correlations. Here, we test whether in a highly specialized premotor system of songbirds, pairwise spike correlations themselves can be seen as a simple corollary of an underlying random process. We test hypotheses on connectivity and network dynamics in the motor pathway of zebra finches using a high-level population model that is independent of detailed single-neuron properties. We assume that neural population activity evolves along a finite set of states during singing, and that during sleep population activity randomly switches back and forth between song states and a single resting state. Individual spike trains are generated by associating with each of the population states a particular firing mode, such as bursting or tonic firing. With an overall modification of one or two simple control parameters, the Markov model is able to reproduce observed firing statistics and spike correlations in different neuron types and behavioral states. Our results suggest that song- and sleep-related firing patterns are identical on short time scales and result from random sampling of a unique underlying theme. The efficiency of our population model may apply also to other neural systems in which population hypotheses can be tested on recordings from small neuron groups.     

Immunocytochemical localization of annexin 5, a calcium-dependent phospholipid-binding protein, in rat endocrine organs

Annexin 5, a unique calcium- and phospholipid-binding protein, has been investigated for its specific distribution in rat endocrine organs by immunocytochemistry with a specific antiserum to recombinant rat annexin 5. Follicular epithelial cells and parafollicular cells of the thyroid gland, adrenocortical cells of the zona fasciculata and zona reticularis, luteal cells, testicular interstitial cells, and Sertoli cells were shown to contain annexin 5. To examine whether the synthesis of annexin 5 would be affected by a change in humoral signal, the distribution of annexin 5 in the anterior pituitary was examined three weeks after ovariectomy. The withdrawal of ovarian hormones induced huge castration cells in the anterior pituitary gland, which contained abundant annexin 5. Annexin 5 was not detected in the pineal gland, the parathyroid gland, the islet of Langerhans, the adrenal medulla, zona glomerulosa cells, and granulosa cells. Since annexin 5 was shown to exist in many of the endocrine tissues examined, to be localized in specific cell types, and to be abundant in castration cells, it is suggested that annexin 5 contributes to secretory cell functions, which may be common to endocrine cells secreting chemically different hormones.     

How to build a grid cell

Neurons in the medial entorhinal cortex fire action potentials at regular spatial intervals, creating a striking grid-like pattern of spike rates spanning the whole environment of a navigating animal. This remarkable spatial code may represent a neural map for path integration. Recent advances using patch-clamp recordings from entorhinal cortex neurons in vitro and in vivo have revealed how the microcircuitry in the medial entorhinal cortex may contribute to grid cell firing patterns, and how grid cells may transform synaptic inputs into spike output during firing field crossings. These new findings provide key insights into the ingredients necessary to build a grid cell.     

Visual pattern discrimination by population retinal ganglion cells’ activities during natural movie stimulation

In the visual system, neurons often fire in synchrony, and it is believed that synchronous activities of group neurons are more efficient than single cell response in transmitting neural signals to down-stream neurons. However, whether dynamic natural stimuli are encoded by dynamic spatiotemporal firing patterns of synchronous group neurons still needs to be investigated. In this paper we recorded the activities of population ganglion cells in bullfrog retina in response to time-varying natural images (natural scene movie) using multi-electrode arrays. In response to some different brief section pairs of the movie, synchronous groups of retinal ganglion cells (RGCs) fired with similar but different spike events. We attempted to discriminate the movie sections based on temporal firing patterns of single cells and spatiotemporal firing patterns of the synchronous groups of RGCs characterized by a measurement of subsequence distribution discrepancy. The discrimination performance was assessed by a classification method based on Support Vector Machines. Our results show that different movie sections of the natural movie elicited reliable dynamic spatiotemporal activity patterns of the synchronous RGCs, which are more efficient in discriminating different movie sections than the temporal patterns of the single cells’ spike events. These results suggest that, during natural vision, the down-stream neurons may decode the visual information from the dynamic spatiotemporal patterns of the synchronous group of RGCs’ activities.     

Influence of temporal correlation of synaptic input on the rate and variability of firing in neurons

The spike trains that transmit information between neurons are stochastic. We used the theory of random point processes and simulation methods to investigate the influence of temporal correlation of synaptic input current on firing statistics. The theory accounts for two sources for temporal correlation: synchrony between spikes in presynaptic input trains and the unitary synaptic current time course. Simulations show that slow temporal correlation of synaptic input leads to high variability in firing. In a leaky integrate-and-fire neuron model with spike afterhyperpolarization the theory accurately predicts the firing rate when the spike threshold is higher than two standard deviations of the membrane potential fluctuations. For lower thresholds the spike afterhyperpolarization reduces the firing rate below the theory's predicted level when the synaptic correlation decays rapidly. If the synaptic correlation decays slower than the spike afterhyperpolarization, spike bursts can occur during single broad peaks of input fluctuations, increasing the firing rate over the prediction. Spike bursts lead to a coefficient of variation for the interspike intervals that can exceed one, suggesting an explanation of high coefficient of variation for interspike intervals observed in vivo.     

Gene expression and immunohistochemical localization of megalin in the anterior pituitary gland of helmeted guinea fowl (<Emphasis Type="Italic">Numida meleagris</Emphasis>)

Megalin/the low density lipoprotein receptor-related protein-2 (LRP-2) is expressed in a variety of epithelia and mediates endocytosis of numerous substances. Megalin is also shown to bind clusterin with high affinity. In the pituitary gland, clusterin is localized in endocrine cells, folliculostellate (FS) cells and colloids. The present study examines the expression pattern of megalin within the gland and assesses its cellular localization to that of clusterin so as to deduce their functional implications in colloidal accumulation as relevant in vivo. Quantity of megalin mRNA expression in pituitary and other endocrine tissues was quantified by real-time PCR using SYBR-green I detective system. High levels were detected in kidneys and pituitary. In situ hybridization showed megalin mRNA in FS cells. Megalin protein detected by immunohistochemistry was also observed in FS cells. Immunoelectron microscopy clearly showed the localization of megalin in peripheral region of colloid-containing follicles and on vesicular structures in FS cells. Immunolabeling was also found to be associated with membranes of vacuoles in apoptotic endocrine cells and cell remnants engulfed by FS cells. Double immunofluorescence labeling was performed to determine whether megalin and clusterin in the anterior pituitary were present within the same cell. Simultaneous localization was detected in almost all FS cells surrounding colloids and in several foci of FS cells surrounding endocrine cells. These findings suggest that megalin may drive ingestion of clusterin complexes with products of digested apoptotic endocrine cells in FS cells, and thereby providing a potential mechanism for a receptor mediated uptake of degenerating endocrine cells and secretion of colloid.     

Molecular cloning, expression profile and functional implications of clusterin in the pituitary gland of helmeted guinea fowl (Numida meleagris)

Clusterin is shown to contain putative amphipathic alpha-helices that mediate hydrophobic interactions with numerous types of molecules and may be involved in clearance of cellular debris caused by cell injury or death. To assess this function in vivo, we have cloned the full-length cDNA encoding guinea fowl (Numida meleagris) clusterin and studied its synthesis and expression pattern in specific cell types in pituitary. Quantity of clusterin mRNA expressed in pituitary and endocrine tissues was quantified by real-time PCR. Highest levels were detected in gonads. In situ hybridization showed clusterin mRNA in endocrine cells and folliculostellate cells. Clusterin protein detected by immunohistochemistry was observed in endocrine cells, folliculostellate cells and in colloid. The expression pattern suggests that clusterin is produced by endocrine cells for cytoprotection. Degenerating endocrine cells are phagocytosed by folliculostellate cells and digested by their lysosomal enzymes. In folliculostellate cells clusterin interacts and aggregates with by-products of digestion that subsequently become stored in colloid.     

Properties of synaptic noise in tonically active human motoneurons

The objective of these experiments was to determine the amount of synaptic noise on the cell membrane at various intervals after an action potential in a motoneuron firing at a specified frequency. Sources of noise such as variations in the level of voluntary drive were minimized by selecting only segments of the spike train in which the unit was running within prescribed frequency limits. The level of the membrane potential of the motoneuron during these intervals was determined using two test “pulses” (compound Ia excitatory postsynaptic potentials) of known amplitude. This enabled the probability of the membrane potential falling within a voltage “window” of known size at known times after the preceding spike to be determined. The probability density histograms showed that the fluctuations of membrane potential about a target interspike trajectory (i.e., the membrane noise) increased with time after the preceding spike. These fluctuations in the membrane potential can be accounted for by a one-dimensional “random walk” model of membrane noise. This model explains the salient features of the interval histograms, such as positive skewness at low target frequencies. A quantitative test of the model demonstrated its applicability to the motor pools of tibialis and masseter.     

Rhythm-induced spike-timing patterns characterized by 1D firing maps

We explore patterns in the spike timing of neurons receiving periodic inputs, with an emphasis on stable characteristics which are realized in both models and in-vitro whole-cell recordings. We report on whole-cell recordings of pyramidal CA1 cells from rat hippocampus and entorhinal cortex and compare this data to model simulations. Cells were injected with a constant current to induce a steady firing rate and then a modest rhythm was added which altered the spike times and their corresponding phases relative to the rhythm. For both experiment and theory the relationship between consecutive spike phases is characterized by a probability distribution with peaks concentrated near a one-dimensional firing map. As is well-known, stable fixed points of this map correspond to the neuron phase-locking to the rhythm. We show that the interaction between noise and sufficiently steep maps can also cause a new kind of spike-time organization, in which consecutive spike time pairs organize into discrete clusters, with transitions between these clusters proceeding in a fixed sequence. This structure is not just a vestige of the noise-free dynamics. This slow dynamics and temporal organization in the relationship between consecutive spike phases is not evident in either the neuron’s voltage traces or single phase or interspike interval histograms. Furthermore, the consecutive spike relationship is also evident in consecutive ISIs, and hence this ordering can be observed without detailed knowledge of the rhythm (e.g. without concurrent LFP recordings).     

Reliability of spike and burst firing in thalamocortical relay cells

The reliability and precision of the timing of spikes in a spike train is an important aspect of neuronal coding. We investigated reliability in thalamocortical relay (TCR) cells in the acute slice and also in a Morris-Lecar model with several extensions. A frozen Gaussian noise current, superimposed on a DC current, was injected into the TCR cell soma. The neuron responded with spike trains that showed trial-to-trial variability, due to amongst others slow changes in its internal state and the experimental setup. The DC current allowed to bring the neuron in different states, characterized by a well defined membrane voltage (between ?80 and ?50 mV) and by a specific firing regime that on depolarization gradually shifted from a predominantly bursting regime to a tonic spiking regime. The filtered frozen white noise generated a spike pattern output with a broad spike interval distribution. The coincidence factor and the Hunter and Milton measure were used as reliability measures of the output spike train. In the experimental TCR cell as well as the Morris-Lecar model cell the reliability depends on the shape (steepness) of the current input versus spike frequency output curve. The model also allowed to study the contribution of three relevant ionic membrane currents to reliability: a T-type calcium current, a cation selective h-current and a calcium dependent potassium current in order to allow bursting, investigate the consequences of a more complex current-frequency relation and produce realistic firing rates. The reliability of the output of the TCR cell increases with depolarization. In hyperpolarized states bursts are more reliable than single spikes. The analytically derived relations were capable to predict several of the experimentally recorded spike features.