Computational Study of the Mechanisms Underlying Oscillation in Neuronal Locomotor Circuits

In this thesis we model two very different movement-related neuronal circuits, both of which produce oscillatory patterns of activity. In one case we study oscillatory activity in the basal ganglia under both normal and Parkinsonian conditions. First, we used a detailed Hodgkin-Huxley type spiking model to investigate the activity patterns that arise when oscillatory cortical input is transmitted to the globus pallidus via the subthalamic nucleus. Our model reproduced a result from rodent studies which shows that two anti-phase oscillatory groups of pallidal neurons appear under Parkinsonian conditions. Secondly, we used a population model of the basal ganglia to study whether oscillations could be locally generated. The basal ganglia are thought to be organised into multiple parallel channels. In our model, isolated channels could not generate oscillations, but if the lateral inhibition between channels is sufficiently strong then the network can act as a rhythm-generating ``pacemaker'' circuit. This was particularly true when we used a set of connection strength parameters that represent the basal ganglia under Parkinsonian conditions. Since many things are not known about the anatomy and electrophysiology of the basal ganglia, we also studied oscillatory activity in another, much simpler, movement-related neuronal system: the spinal cord of the Xenopus tadpole. We built a computational model of the spinal cord containing approximately 1,500 biologically realistic Hodgkin-Huxley neurons, with synaptic connectivity derived from a computational model of axon growth. The model produced physiological swimming behaviour and was used to investigate which aspects of axon growth and neuron dynamics are behaviourally important. We found that the oscillatory attractor associated with swimming was remarkably stable, which suggests that, surprisingly, many features of axonal growth and synapse formation are not necessary for swimming to emerge. We also studied how the same spinal cord network can generate a different oscillatory pattern in which neurons on both sides of the body fire synchronously. Our results here suggest that under normal conditions the synchronous state is unstable or weakly stable, but that even small increases in spike transmission delays act to stabilise it. Finally, we found that although the basal ganglia and the tadpole spinal cord are very different systems, the underlying mechanism by which they can produce oscillations may be remarkably similar. Insights from the tadpole model allow us to predict how the basal ganglia model may be capable of producing multiple patterns of oscillatory activity

Transient Mixed Synapses Regulate Emerging Connectivity in Simple Neuronal Networks

The electrical synapse was first described over 50 years ago. Since that time appreciation of its complexity and importance has grown, including the hypothesis that early transient formation of these synapses is important to adult patterns of connectivity in neural networks. Presented in this dissertation are studies utilizing identified neurons in cell culture from the snail Helisoma trivolvis to examine discrete periods of electrical synapse formation during regeneration with sustained or transient expression. Extensive knowledge of connectivity patterns of the buccal neurons of Helisoma in cell culture and the ganglia, provide a useful framework for looking at modulation and manipulation of electrical synapses and their impact and emerging connectivity in a simple neuronal network. Two types of electrical connections were observed those that were transient, between a B19 and a B110 and those that were sustained, between a B19 and another B19. Dopamine (DA) modulation of forming electrical synapses (FES) produces a synapse specific effect at those either destined to be transient (TES) or sustained (SES) and may be a direct effect on the gap junctions at the synapses, as is the case at TES, or an indirect effect on other membrane currents, as seen in SES. DA modulation produces different outcomes at SES-centered networks and TES-centered networks with respect to new chemical synapse formation, demonstrating network-dependent effects of electrical synapse modulation. Pharmacological blockade of chemical and electrical components at forming mixed synapses in some cases alters subsequent synapse formation although due to the variable nature does not appear to be a direct interaction between chemical and electrical synapses. Three-cell networks appear to display a balancing mechanism for overall electrical coupling when electrical synapses are blocked suggesting a competition for some resource in the construction or trafficking of gap junctions. In addition to electrophysiological examinations, network coupling can be assessed utilizing fluorescent calcium imaging to look at coincidence of calcium changes as an output for coupling between cells. This technique provides a useful tool for less invasive studies of neuronal networks and the impact of coupling at mixed synapses

Homeostatic compensation and neuromodulation maintain synchronized motor neuron activity in the crustacean cardiac ganglion

Dissertation supervisor: Dr. David J. Schulz.Includes vita.Animals rely on the nervous system to produce appropriate behavior throughout their lives. In sending commands to the musculature for rhythmic motor behaviors such as breathing or walking, neural networks must be stable enough to send a reliable level of drive with the proper temporal coordination. Networks must also be flexible enough to meet changing environmental demands. A network's output ultimately arises from the intrinsic excitability of its constituent neurons and the synaptic connections between them. Interestingly, neurons and networks are able to produce highly conserved output from highly variable underlying intrinsic and synaptic properties. To explore the consequences of this variability, we have used the crustacean cardiac ganglion (CG) which consists of 9 neurons: 4 pacemaker cells that give excitatory input to 5 Large Cell motor neurons (LCs) which are responsible for driving the simultaneous contraction of the musculature that makes up the walls of the animal's single-chambered heart (Alexandrowicz, 1934; Hartline, 1967; Anderson and Cooke, 1971). The intact network can be dissected from the animal in physiological saline and it continues to produce robust, reliable, and rhythmic output (Welsh and Maynard, 1951; Cooke, 2002). LCs have virtually identical synchronized activity, but their intrinsic ionic conductances can be highly variable (Ransdell et al., 2013a). In Chapter 1, we exploit this variability by pharmacologically blocking a subset of their conductances to make LCs hyperexcitable and desynchronize their activity. We find that homeostatic compensation restores synchronized activity and excitability within one hour. This happens via two synergistic mechanisms: the membrane properties of each cell are re-tuned to converge on similar voltage activity, and increased conductance of the gap junctions between the cells helps to buffer away differences in their voltage activity. A separate but related study asked whether naturalistic perturbations of network activity would also result in desynchronization. Neuromodulation provides flexibility in the output of neural networks by altering a subset of their conductances. We hypothesized that this could also cause desynchronization. We found that modulation with serotonin and dopamine both increased the excitability of the CG. Interestingly, serotonin desynchronized the CG, but dopamine did not. We found that dopaminergic modulation directly increases gap junctional conductance. By co-applying these modulators, we found dopamine was able to prevent serotonin from desynchronizing the network without occluding its effects. It was also able to prevent the desynchronization caused by ion channel blockers. Finally, to fully understand the output of LCs, we must recognize that their activity arises not only from their intrinsic properties, but also from their synaptic drive from pacemaker cells. To address how variable this can be from one animal to the next, we analyze the activity of 131 animals taken over the course of approximately 5 years. We use this to address the fundamental question of how variable networks underlying a particular behavior can be across animals. We recognize two distinct classes of pacemaker inputs to LCs, and characterize bursting patterns for both types of pacemaker spike and LC output. We conclude that LCs from different animals receive different temporal patterns of pacemaker drive, which may have important functional implications. We also compare animals from winter and summer months, and find that temperature-independent seasonal effects may explain some of the variance in our data.Includes bibliographical references

Role of Synaptic Inhibition in the Coupling of the Respiratory Rhythms that Underlie Eupnea and Sigh Behaviors

The preBötzinger complex (preBötC) gives rise to two types of breathing behavior under normal physiological conditions: eupnea and sighing. Here, we examine the neural mechanisms that couple their underlying rhythms. We measured breathing in awake intact adult mice and recorded inspiratory rhythms from the preBötC in neonatal mouse brainstem slice preparations. We show previously undocumented variability in the temporal relationship between sigh breaths or bursts and their preceding eupneic breaths or inspiratory bursts. Investigating the synaptic mechanisms for this variability in vitro, we further show that pharmacological blockade of chloride-mediated synaptic inhibition strengthens inspiratory-to-sigh temporal coupling. These findings contrast with previous literature, which suggested glycinergic inhibition linked sigh bursts to their preceding inspiratory bursts with minimal time intervals. Furthermore, we verify that pharmacological disinhibition did not alter the duration of the prolonged interval that follows a sigh burst before resumption of the inspiratory rhythm. These results demonstrate that synaptic inhibition does not enhance coupling between sighs and preceding inspiratory events or contribute to post-sigh apneas. Instead, we conclude that excitatory synaptic mechanisms coordinate inspiratory (eupnea) and sigh rhythms

Ventral spinocerebellar tract neurons are essential for mammalian locomotion

Locomotion, including running, walking, and swimming, is a complex behavior enabling animals to interact with the environment. Vertebrate locomotion depends upon sets of interneurons in the spinal cord, known as the central pattern generator (CPG). The CPG performs multiple roles: pattern formation (left-right alternation and flexor-extensor alternation) and rhythm generation (the onset and frequency of locomotion). Many studies have begun to unravel the organization of the neuronal circuits underlying left-right and flexor-extensor alternation. However, despite pharmacologic, lesion, and optogenetic studies suggesting that the rhythm generating neurons are ispilaterally-projecting glutamatergic neurons, the precise cellular identification of rhythm generating neurons remains largely unknown. Traditionally, CPG networks (both pattern formation and rhythm generation) are thought to reside upstream of motor neurons, which serve as the output of the spinal cord. Recently however, it has been discovered that direct stimulation of lumbar motor neurons using the intact ex vivo neonate mouse spinal cord preparation can activate CPG networks to produce locomotor-like behavior. Furthermore, depressing motor neuron discharge decreases locomotor frequency, whereas increasing motor neuron discharge accelerates locomotor frequency, suggesting that motor neurons provide ongoing feedback to the CPG. However, the circuit mechanisms through which motor neurons can influence activity in the CPG in mammals remain unknown. Here, I used motor neurons as a means of accessing CPG interneurons by asking how motor neuron activation might induce locomotor-like activity. Through intracellular recording and morphological assays, I discovered that ventral spinocerebellar tract (VSCT) neurons are activated monosynaptically following motor neuron axon stimulation through chemical and electrical synapses. A subset of VSCT neurons were located close to or within the motor neuron nucleus. VSCT neurons were found to be excitatory, have descending spinal axon collaterals, and influence motor neuron output, suggesting that VSCT neurons are positioned advantageously to initiate and maintain locomotor-like rhythmogenesis. Intracellular recording from VSCT neurons revealed that they exhibit rhythmic activity during locomotor-like activity. VSCT neurons were found to contain the rhythmogenic pacemaker Ih current and to be connected to other VSCT neurons, at least through gap junctions. Optogenetic and chemogenetic manipulation of VSCT neuron activity provided evidence that VSCT neurons are both necessary and sufficient for the production of locomotor-like activity. Silencing VSCT neurons prevented the induction of such activity, whereas activation of VSCT neurons was capable of inducing locomotor-like activity. The production of locomotor-like activity by VSCT neuron photoactivation was dependent upon both electrical communication through gap junctions as well as the pacemaker Ih current. The evidence presented in this thesis suggests that VSCT neurons are critical components for rhythm generation in the mammalian CPG and are key mediators of locomotor activity

Regulation of Motoneuron Firing Properties: Intrinsic and Circuit-Based Mechanisms

Body and limb movements are controlled by regulating the activity of motor pools and their constituent motoneurons. An extensive complement of tightly regulated ion channels and second messenger systems determine active motoneuron spiking behavior, while segmental propriospinal circuits ensure the faithful execution of motor commands by providing real time sensory feedback to motoneurons and other somatosensory centers. However, current mechanistic understanding is incomplete for critical factor regulating motoneuron firing properties. Fundamental gaps in knowledge exist regarding (a) the spatial distribution and organization of specific ion channels in motoneurons, (b) the contribution of specific channels to motoneuron intrinsic properties, (c) the rules governing interactions between segmental interneuronal populations and motoneurons, and (d) patterns of motoneuron synaptic connectivity across flexor and extensor motor pools. Studies undertaken in this dissertation are aimed at filling several of these gaps in our current understanding of motoneuron behavior. Multiple factors that affect a-MN excitability and firing are examined, including select ion channels, intrinsic membrane properties, and synaptic inputs. In addition, one series of studies was undertaken to advance understanding how some of these factors respond to peripheral nerve injury

A combined experimental and computational approach to investigate emergent network dynamics based on large-scale neuronal recordings

Sviluppo di un approccio integrato computazionale-sperimentale per lo studio di reti neuronali mediante registrazioni elettrofisiologich

Neurofly 2008 abstracts : the 12th European Drosophila neurobiology conference 6-10 September 2008 Wuerzburg, Germany

This volume consists of a collection of conference abstracts

25th Annual Computational Neuroscience Meeting: CNS-2016

Abstracts of the 25th Annual Computational Neuroscience Meeting: CNS-2016 Seogwipo City, Jeju-do, South Korea. 2–7 July 201