Electrotonic Inhibition and Active Facilitation of Excitability in Ventricular Muscle

Inhibition and Facilitation in Cardiac Muscle. Introduction: The effects of subthreshold electrical pulses on the response to subsequent stimulation have been described previously in experimental animal studies as well as in the human heart. In addition, previous studies in cardiac Purkinje fibers have shown that diastolic excitability may decrease after activity (active inhibition) and, to a lesser extent, following subthreshold responses (electrotonic inhibition). However, such dynamic changes in excitability have not been explored in isolated ventricular muscle, and it is uncertain whether similar phenomena may play any role in the activation pal-terns associated with propagation abnormalities in the myocardium. Methods and Results: Experiments were performed in isolated sheep Purkinje fibers and papillary muscles, and in enzymatically dissociated guinea pig ventricular myocytes. In all types of preparations introduction of a conditioning subthreshold pulse between two subthreshold pulses was followed by a transient decay in excitability (electrotonic inhibition). The degree of inhibition was directly related to the amplitude and duration of the conditioning pulse and inversely related to the postconditioning interval. Yet, inhibition could be demonstrated long after (> 1 sec) the end of the conditioning pulse. Electrotonic inhibition was found at all diastolic intervals and did not depend on the presence of a previous action potential. In Purkinje fibers, conditioning action potentials led to active inhibition of subsequent responses. In contrast, in muscle cells, such action potentials had a facilitating effect (active facilitation). Electrotonic inhibition and active facilitation were observed in both sheep ventricular muscle and guinea pig ventricular myocytes. Accordingly, during repetitive stimulation with pulses of barely threshold intensity, we observed: (1) bistability (i.e., with the same stimulating parameters, stimulus: response patterns were either 1:1 or 1:0, depending on previous history), and (2) abrupt transitions between 1:1 and 1:0 (absence of intermediate wenckebach-like patterns). Simulations utilizing an ionic model of cardiac myocytes support the hypothesis that electrotonic inhibition in well-polarized ventricular muscle is the result of partial activation of I_k following subthreshold pulses. On the other hand, active facilitation may be the result of an activity-induced decrease in the conductance of I_K1. Conclusion: Diastolic excitability of well-polarized ventricular myocardium may be transiently depressed following local responses and transiently enhanced following action potentials. On the other hand, diastolic excitability decreases during quiescence. Active facilitation and electrotonic inhibition may have an important role in determining the dynamics of excitation of the myocardium in the presence of propagation abnormalities.     

A model for antigen-induced T cell unresponsiveness based on autophosphorylative protein tyrosine kinase activity

Helper T cell signaling is initiated by the aggregation of TCRwith the induction of tyrosine kinase activity as one of theearliest consequences. Here, a theoretical model for antigen-inducedunresponsiveness is presented that relies on a cascade of tyrosinephosphorylation- dephoshorylation cycles. A mechanism is describedfor both desensitization in the presence of antigen and persistentlowering of cell responsiveness after stimulus removal. An importantcomponent of the model, leading to bistability, is the presenceof autophosphorylating protein tyrosine kinases in the earlysteps of TCR signaling. One of its predictions is that, followingstimulation, the net phosphorylative activity of these receptor-associatedtyrosine kinases will remain above background level after removalof the antigen. It is proposed that this residual tyrosine kinaseactivity is linked to a deficient signal transduction capacityof the TCR system that leads to a state of prolonged unresponsiveness.In addition, the present analysis defines the notion of a signalingthreshold for hyporesponsiveness induction, associated witha durable switch and amplification of the net tyrosine kinaseactivity. This approach emphasizes the role of tyrosine kinasesin the down-regulation of cellular competence.     

Interneurons of the cerebellar cortex toggle Purkinje cells between up and down states

We demonstrate that single interneurons can toggle the output neurons of the cerebellar cortex (the Purkinje cells) between their two states. The firing of Purkinje cells has previously been shown to alternate between an “up” state in which the cell fires spontaneous action potentials and a silent “down” state. We show here that small hyperpolarizing currents in Purkinje cells can bidirectionally toggle Purkinje cells between down and up states and that blockade of the hyperpolarization-activated cation channels (H channels) with the specific antagonist ZD7288 (10 μM) blocks the transitions from down to up states. Likewise, hyperpolarizing inhibitory postsnyaptic potentials (IPSPs) produced by small bursts of action potentials (10 action potentials at 50 Hz) in molecular-layer interneurons induce these bidirectional transitions in Purkinje cells. Furthermore, single interneurons in paired interneuron → Purkinje cell recordings, produce bidirectional switches between the two states of Purkinje cells. The ability of molecular-layer interneurons to toggle Purkinje cells occurs when Purkinje cells are recorded under whole-cell patch-clamp conditions as well as when action potentials are recorded in an extracellular loose cell-attached configuration. The mode switch demonstrated here indicates that a single presynaptic interneuron can have opposite effects on the output of a given Purkinje cell, which introduces a unique type of synaptic interaction that may play an important role in cerebellar signaling.     

Spatial reconfiguration of charge transfer effectiveness in active bistable dendritic arborizations

The aim of this work was to explore the electrical spatial profile of the dendritic arborization during membrane potential oscillations of a bistable motoneuron. Computational simulations provided the spatial counterparts of the temporal dynamics of bistability and allowed simultaneous depiction the electrical states of any sites in the arborization. We assumed that the dendritic membrane had homogeneously distributed specific electrical properties and was equipped with a cocktail of passive extrasynaptic and NMDA synaptic conductances. The electrical conditions for evoking bistability in a single isopotential compartment and in a whole dendritic arborization were computed and showed differences, revealing a crucial effect of dendritic geometry. Snapshots of the whole arborization during bistability revealed the spatial distribution of the density of the transmembrane current generated at the synapses and the effectiveness of the current transfer from any dendritic site to the soma. These functional maps changed dynamically according to the phase of the oscillatory cycle. In the low depolarization state, the current density was low in the proximal dendrites and higher in the distal parts of the arborization while the transfer effectiveness varied in a narrow range with small differences between proximal and distal dendritic segments. When the neuron switched to high depolarization state, the current density was high in the proximal dendrites and low in the distal branches while a large domain of the dendritic field became electrically disconnected beyond 200 micro m from the soma with a null transfer efficiency. These spatial reconfigurations affected dynamically the size and shape of the functional dendritic field and were strongly geometry-dependent.     

Warning signals for eruptive events in spreading fires

Spreading fires are noisy (and potentially chaotic) systems in which transitions in dynamics are notoriously difficult to predict. As flames move through spatially heterogeneous environments, sudden shifts in temperature, wind, or topography can generate combustion instabilities, or trigger self-stabilizing feedback loops, that dramatically amplify the intensities and rates with which fires propagate. Such transitions are rarely captured by predictive models of fire behavior and, thus, complicate efforts in fire suppression. This paper describes a simple, remarkably instructive physical model for examining the eruption of small flames into intense, rapidly moving flames stabilized by feedback between wind and fire (i.e., “wind–fire coupling”—a mechanism of feedback particularly relevant to forest fires), and it presents evidence that characteristic patterns in the dynamics of spreading flames indicate when such transitions are likely to occur. In this model system, flames propagate along strips of nitrocellulose with one of two possible modes of propagation: a slow, structured mode, and a fast, unstructured mode sustained by wind–fire coupling. Experimental examination of patterns in dynamics that emerge near bifurcation points suggests that symptoms of critical slowing down (i.e., the slowed recovery of the system from perturbations as it approaches tipping points) warn of impending transitions to the unstructured mode. Findings suggest that slowing responses of spreading flames to sudden changes in environment (e.g., wind, terrain, temperature) may anticipate the onset of intense, feedback-stabilized modes of propagation (e.g., “blowup fires” in forests).Multistable systems can, when sufficiently perturbed, undergo “critical transitions” in which they shift abruptly between dynamically distinct states. Such transitions represent important steps in the progression of many natural processes [e.g., the sudden demise of ecosystems or populations (1, 2), the onset of climatic shifts (3, 4), the crash of financial markets (5, 6), the collapse of power grids or of Internet communication networks (7, 8), transitions from life to death (9, 10)], and the identification of phenomena that trigger or presage their onset remains an intellectually challenging and practically important goal of research on the dynamics of complex systems.Recent evidence suggests that a set of generic statistical indicators may warn of impending transitions in a wide range of systems (11, 12). Briefly, as systems approach catastrophic bifurcations, they exhibit slower rates of recovery from perturbations (13), a phenomenon referred to as “critical slowing down;” as the duration of influence associated with those perturbations increases, the fluctuations to which they give rise can become larger (increased variance) (14), more correlated (increased autocorrelation) (15), and/or more asymmetric (increased skewness) (16). Many studies of critical transitions in natural systems have identified corresponding trends in individual variables of state [e.g., increased variance in electrical signals before an epileptic seizure (17)] (2–4, 18), but similar patterns have proven difficult to detect in systems for which variables of state are noisy, interdependent, or poorly defined (as in interconnected, cyclic, or chaotic systems) (11, 12). Warning signals—or, more generally, transitions between alternative stable states—in such systems have, as a result, eluded experimental examination.Spreading fires are noisy [and potentially chaotic (19)] systems for which warning signals of transitions in dynamics could aid in the development of improved practices for control and suppression. In large-scale natural fires (i.e., wildfires), for example, slowly moving flames can spontaneously erupt into blowup fires—large, rapidly moving fires stabilized by feedback between wind and spreading flames (i.e., wind–fire coupling) (20, 21). Such events, which are not captured by operative models of fire behavior, pose enormous risks to fire response teams, and complicate efforts in fire suppression (22–24).To examine patterns in dynamics associated with the onset of intense, feedback-stabilized modes of propagation, we built a simple physical model for blowup-like fires based on a bistable combustion system. In this system, flames propagate along strips of nitrocellulose either as slow, structured flames (characterized by well-defined heights and shapes) or as fast, unstructured flames (marked by aperiodic oscillations in size and shape) in which a form of wind–fire coupling sustains 5- to 10-fold faster rates of propagation. Transitions between these modes can be induced by topographical features of the strip: structured flames can, upon encountering folds in the strip become unstructured; similarly, unstructured flames can, upon encountering the same folds (hereafter referred to as “bumps”), become structured and slow. By using this model system to examine (i) conditions that influence the likelihood of perturbation-initiated transitions between modes of propagation and (ii) patterns in dynamics that emerge as these transitions become more likely, we addressed this question: “Do slowly spreading fires exhibit detectable symptoms of critical slowing down prior to transitioning to intense, feedback-stabilized fires?”     

Bayesian sampling in visual perception

It is well-established that some aspects of perception and action can be understood as probabilistic inferences over underlying probability distributions. In some situations, it would be advantageous for the nervous system to sample interpretations from a probability distribution rather than commit to a particular interpretation. In this study, we asked whether visual percepts correspond to samples from the probability distribution over image interpretations, a form of sampling that we refer to as Bayesian sampling. To test this idea, we manipulated pairs of sensory cues in a bistable display consisting of two superimposed moving drifting gratings, and we asked subjects to report their perceived changes in depth ordering. We report that the fractions of dominance of each percept follow the multiplicative rule predicted by Bayesian sampling. Furthermore, we show that attractor neural networks can sample probability distributions if input currents add linearly and encode probability distributions with probabilistic population codes.     

Bet-hedging and epigenetic inheritance in bacterial cell development

Upon nutritional limitation, the bacterium Bacillus subtilis has the capability to enter the irreversible process of sporulation. This developmental process is bistable, and only a subpopulation of cells actually differentiates into endospores. Why a cell decides to sporulate or not to do so is poorly understood. Here, through the use of time-lapse microscopy, we follow the growth, division, and differentiation of individual cells to identify elements of cell history and ancestry that could affect this decision process. These analyses show that during microcolony development, B. subtilis uses a bet-hedging strategy whereby some cells sporulate while others use alternative metabolites to continue growth, providing the latter subpopulation with a reproductive advantage. We demonstrate that B. subtilis is subject to aging. Nevertheless, the age of the cell plays no role in the decision of its fate. However, the physiological state of the cell's ancestor (more than two generations removed) does affect the outcome of cellular differentiation. We show that this epigenetic inheritance is based on positive feedback within the sporulation phosphorelay. The extended intergenerational "memory" caused by this autostimulatory network may be important for the development of multicellular structures such as fruiting bodies and biofilms.     

Nociceptive integration in the rat spinal cord: role of non-linear membrane properties of deep dorsal horn neurons

Deep dorsal horn neurons (DHNs) involved in nociception can relay long-lasting inputs and generate prolonged afterdischarges believed to enhance the transfer of nociceptive responses to the brain. We addressed the role of neuronal membrane properties in shaping these responses, by recording lamina V DHNs in a slice preparation of the rat cervical spinal cord. of 256 neurons, 102 produced accelerating discharges in response to depolarizing current pulses, whereas the other neurons showed spike frequency adaptation. Two mechanisms mediated the firing acceleration: a slow inactivation of a K⁺ current expressed upon activation of the neuron from hyperpolarized holding potentials, and the expression of a regenerative plateau potential activating around resting membrane potential. The increase in firing frequency was much stronger when sustained by the plateau potential (71 DHNs, 28%). A few neurons produced adaptation and both types of acceleration, in different membrane potential domains, showing that the firing pattern of a deep DHN is not a rigid characteristic. Plateau potentials could be elicited by stimulation of nociceptive primary afferent fibres. The bistability associated with plateau potentials permitted afterdischarges. Because plateau potentials had slow activation kinetics and were voltage-dependent, the neurons had non-linear input–output relationships in both the amplitude and time domains. Nociceptive primary afferent stimulation elicited intense and prolonged responses in plateau-generating DHNs, while brief bursts of spikes were evoked otherwise. These results indicate that in a population of deep DHNs, intense firing and prolonged afterdischarges in response to nociceptive stimulation depend on non-linear intrinsic membrane properties.     

The dual nature of the BOLD signal: Responses in visual area hMT+ reflect both input properties and perceptual decision

Neuroimaging studies have suggested that hMT+ encodes global motion interpretation, but this contradicts the notion that BOLD activity mainly reflects neuronal input. While measuring fMRI responses at 7 Tesla, we used an ambiguous moving stimulus, yielding the perception of two incoherently moving surfaces—component motion—or only one coherently moving surface—pattern motion, to induce perceptual fluctuations and identify perceptual organization size‐matched domains in hMT+. Then, moving gratings, exactly matching either the direction of component or pattern motion percepts of the ambiguous stimulus, were shown to the participants to investigate whether response properties reflect the input or decision. If hMT+ responses reflect the input, component motion domains (selective to incoherent percept) should show grating direction stimulus‐dependent changes, unlike pattern motion domains (selective to the coherent percept). This hypothesis is based on the known direction‐selective nature of inputs in component motion perceptual domains versus non‐selectivity in pattern motion perceptual domains. The response amplitude of pattern motion domains did not change with grating direction (consistently with their non‐selective input), in contrast to what happened for the component motion domains (consistently with their selective input). However, when we analyzed relative ratio measures they mirrored perceptual interpretation. These findings are consistent with the notion that patterns of BOLD responses reflect both sensory input and perceptual read‐out.