The biophysical properties and distribution of voltage gated ion channels shape the spatio-temporal pattern of synaptic inputs and determine the input-output properties of the neuron. Of the various voltage-gated ion channels, persistent Na⁺ current (INaP) is of interest because of its activation near rest, slow inactivation kinetics, and consequent effects on excitability. Overshadowed by transient Na⁺ current (INaT) of large amplitude and fast inactivation, various quantitative characterizations of INaP have yet to provide a clear understanding of their role in neuronal excitability. We addressed this question using quantitative electrophysiology to compare somatic INaP and INaT in 4–7 week old Sprague-Dawley rat hippocampal CA1 pyramidal neurons. INaP was evoked with 0.4 mV/ms ramp voltage commands and INaT with step commands in hippocampal neurons from in vitro brain slices utilizing nucleated patch-clamp recording. INaP was found to have a density of 1.4 ± 0.7 pA/pF in the soma. Compared to INaT, it has a much smaller amplitude (2.38% of INaT) and distinct voltage dependence of activation (16.7 mV lower half maximal activation voltage and 41.3% smaller slope factor than those of INaT). The quantitative measurement of INaT gave the activation time constant ([tau]m) of 22.2 ± 2.3 [mu]s at 40 mV. Hexanol, which has anesthetic effects, was shown to preferentially block INaP compared to INaT with a significant voltage threshold elevation (4.6 ± 0.7 mV) and delayed 1st spike latency (221 ± 54.6 ms) suggesting reduced neuronal excitability. The number of spikes evoked by either given step current injections or [alpha]-EPSP integration was also significantly decreased. The differential blocking of INaP by halothane, a popularly used volatile anesthetic, further supports the critical role of INaP in setting voltage threshold. Taken together, the presence of INaP in the soma demonstrates an intrinsic mechanism utilized by hippocampal CA1 pyramidal neurons to regulate axonal spike initiation through different biophysical properties of the Na⁺ channel. Furthermore, INaP becomes an interesting target of intrinsic plasticity because of its profound effect on the input-output function of the neuron. / text

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La locomotion se définit par des mouvements répétés et coordonnés des membres droits et gauches et des muscles antagonistes d’une même articulation. L’activité locomotrice des rongeurs est générée par des groupes de neurones localisés dans la partie antérieure de l’élargissement lombaire; ce réseau de cellules est appelé Central Pattern Generator (CPG). Au cours de cette thèse, les études entreprises chez le rat nouveau-né ont eu pour but d’étudier les mécanismes cellulaires impliqués dans la genèse du rythme locomoteur. Le courant sodique persistant (INaP) joue un rôle important dans la genèse d’activités rythmiques de plusieurs structures supraspinales et notamment celles impliquées dans la mastication et la respiration. Curieusement, son existence et son implication dans la genèse d’activités rythmiques dans les structures du CPG locomoteur spinal n’ont jamais été abordées. A l’aide d’études électrophysiologiques, la thèse démontre l’existence de INaP et le caractérise pour la première fois au sein du CPG locomoteur. Ce courant est indispensable à la genèse du rythme locomoteur et joue un rôle fondamental dans l’émergence d’activités pacemakers au sein du CPG. Ces activités pacemakers émergent dans un contexte physiologique où des fluctuations dans la composition ionique du milieu extracellulaire interviennent au cours d’une activité locomotrice. L’ensemble de ces données suggère que le « cœur » du générateur de rythme pourrait être composé d’interneurones présentant une activité pacemaker dépendante de INaP dont la modulation pourrait être un élément fondamental à la fois dans le déclenchement et la modulation de l’activité locomotrice. / Identification of the cellular mechanisms underlying the generation of the locomotor rhythm is of longstanding interest to physiologists. Hindlimb locomotor movements are generated by lumbar neuronal networks, referred to as central pattern generators (CPG). Although rhythm generation mechanisms within the CNS can vary, the activation of a subthreshold depolarizing conductance is always needed to start the firing of individual neurons. Among various subthreshold membrane conductances, the persistent sodium current (INaP) is involved in rhythmic activity of numerous supraspinal neurons such as those involved in the generation of masticatory and respiratory rhythm. The thesis was aimed at identifying and characterizing INaP in the neonatal rodent locomotor CPG, determining its importance in shaping neuronal firing properties and its role in the operation of the locomotor circuitry. Using electrophysiological studies the thesis has characterized INaP for the first time in the locomotor CPG. This current is essential to the generation of the locomotor rhythm and plays a fundamental role in the emergence of pacemaker activity within the CPG. These pacemaker activities emerge in a physiological context in which fluctuations in the ionic composition of the extracellular environment occur during locomotion. This study provides evidence that INaP generates pacemaker activities in CPG interneurons and new insights into the operation of the locomotor network with a critical implication of INaP in stabilizing the locomotor pattern.

In this thesis we use computational neural network models to examine the dynamics and functionality of the CA3 region of the mammalian hippocampus. The emphasis of the project is to investigate how the dynamic control structures provided by inhibitory circuitry and cellular modification may effect the CA3 region during the recall of previously stored information. The CA3 region is commonly thought to work as a recurrent auto-associative neural network due to the neurophysiological characteristics found, such as, recurrent collaterals, strong and sparse synapses from external inputs and plasticity between coactive cells. Associative memory models have been developed using various configurations of mathematical artificial neural networks which were first developed over 40 years ago. Within these models we can store information via changes in the strength of connections between simplified model neurons (two-state). These memories can be recalled when a cue (noisy or partial) is instantiated upon the net. The type of information they can store is quite limited due to restrictions caused by the simplicity of the hard-limiting nodes which are commonly associated with a binary activation threshold. We build a much more biologically plausible model with complex spiking cell models and with realistic synaptic properties between cells. This model is based upon some of the many details we now know of the neuronal circuitry of the CA3 region. We implemented the model in computer software using Neuron and Matlab and tested it by running simulations of storage and recall in the network. By building this model we gain new insights into how different types of neurons, and the complex circuits they form, actually work. The mammalian brain consists of complex resistive-capacative electrical circuitry which is formed by the interconnection of large numbers of neurons. A principal cell type is the pyramidal cell within the cortex, which is the main information processor in our neural networks. Pyramidal cells are surrounded by diverse populations of interneurons which have proportionally smaller numbers compared to the pyramidal cells and these form connections with pyramidal cells and other inhibitory cells. By building detailed computational models of recurrent neural circuitry we explore how these microcircuits of interneurons control the flow of information through pyramidal cells and regulate the efficacy of the network. We also explore the effect of cellular modification due to neuronal activity and the effect of incorporating spatially dependent connectivity on the network during recall of previously stored information. In particular we implement a spiking neural network proposed by Sommer and Wennekers (2001). We consider methods for improving associative memory recall using methods inspired by the work by Graham and Willshaw (1995) where they apply mathematical transforms to an artificial neural network to improve the recall quality within the network. The networks tested contain either 100 or 1000 pyramidal cells with 10% connectivity applied and a partial cue instantiated, and with a global pseudo-inhibition.We investigate three methods. Firstly, applying localised disynaptic inhibition which will proportionalise the excitatory post synaptic potentials and provide a fast acting reversal potential which should help to reduce the variability in signal propagation between cells and provide further inhibition to help synchronise the network activity. Secondly, implementing a persistent sodium channel to the cell body which will act to non-linearise the activation threshold where after a given membrane potential the amplitude of the excitatory postsynaptic potential (EPSP) is boosted to push cells which receive slightly more excitation (most likely high units) over the firing threshold. Finally, implementing spatial characteristics of the dendritic tree will allow a greater probability of a modified synapse existing after 10% random connectivity has been applied throughout the network. We apply spatial characteristics by scaling the conductance weights of excitatory synapses which simulate the loss in potential in synapses found in the outer dendritic regions due to increased resistance. To further increase the biological plausibility of the network we remove the pseudo-inhibition and apply realistic basket cell models with differing configurations for a global inhibitory circuit. The networks are configured with; 1 single basket cell providing feedback inhibition, 10% basket cells providing feedback inhibition where 10 pyramidal cells connect to each basket cell and finally, 100% basket cells providing feedback inhibition. These networks are compared and contrasted for efficacy on recall quality and the effect on the network behaviour. We have found promising results from applying biologically plausible recall strategies and network configurations which suggests the role of inhibition and cellular dynamics are pivotal in learning and memory.

Le gyrus denté occupe une position clé au sein du lobe temporal des mammifères en constituant le point de contrôle entre le système néocortical et le système hippocampique. Considéré comme la porte de l'hippocampe, le gyrus denté filtre les activités excitatrices en provenance du cortex entorhinal grâce à la décharge éparse des cellules granulaires. Ce type de codage neuronal lui confère également un rôle déterminant dans les mécanismes de l'apprentissage et de la mémoire lors de la distinction d'évènements similaires mais différents, en permettant la décorrélation des patrons d'activité corticale. Grâce à un ensemble de propriétés structurales et fonctionnelles, les cellules granulaires du gyrus denté génèrent des évènements synaptiques extrêmement rapides restreignant leur fenêtre temporelle d'intégration et leur permettant de jouer le rôle de détecteurs de coïncidence. Au cours d'une épilepsie du lobe temporal (ELT), l'hippocampe présente d'importantes altérations de codage neuronal qui pourraient participer aux troubles cognitifs décrits chez les patients et les modèles animaux. Dans ces conditions pathologiques, les axones des cellules granulaires du gyrus denté (les fibres moussues) bourgeonnent et établissent des synapses aberrantes au niveau d'autres cellules granulaires, créant ainsi un puissant réseau excitateur récurrent. Ces fibres moussues récurrentes convertissent la nature de la transmission glutamatergique car elles opèrent via des récepteurs kaïnate générant des potentiels post-synaptiques à cinétique lente, absents en condition contrôle. / The dentate gyrus plays a major role at the gate of the hippocampus, filtering incoming information from the entorhinal cortex. A fundamental coding property of dentate granule cells (DGCs) is their sparse firing. Indeed, they behave as a coincidence detector due to the fast kinetics of excitatory synaptic events restricting integration of afferent inputs to a narrow time window. In temporal lobe epilepsy (TLE), the hippocampus displays important coding alterations that may play a role in cognitive impairments described in patients and animal models. However, the cellular mechanisms remain poorly understood. In animal models of TLE and human patients, neuronal tissue undergoes major reorganization; some neurons die whereas others, which are severed in their inputs or outputs, sprout and form novel aberrant connections. This phenomenon, called reactive plasticity, is well documented in the dentate gyrus where DGC axons (the mossy fibres) sprout and create a powerful excitatory network between DGCs. We recently showed that in addition to the axonal rewiring, recurrent mossy fibres convert the nature of glutamatergic transmission in the dentate gyrus because they operate via long-lasting kainate receptor (KAR)-mediated EPSPs (EPSPKA) not present in the naive condition.

La spasticité est l’une des nombreuses complications motrices qui peuvent apparaître après une lésion de la moelle épinière. Elle est présente dans 75 % des patients médullo-lésés et se caractérise par une hypertonie musculaire en réponse à un réflexe d’étirement. Les traitements actuels, qui ciblent les symptômes et non les causes de la spasticité, sont peu efficaces. Bien que les mécanismes neurologiques qui sous-tendent la spasticité soient complexes et restent en grande partie méconnus, un certain consensus se dégage sur le fait qu’elle est associée à une hyperexcitabilité intrinsèque des motoneurones et à une levée de l’inhibition des réflexes spinaux. L’hyperexcitabilité motoneuronale se manifeste par une décharge soutenue de potentiels de plateau et résulte en partie d’une augmentation des courants entrants persistants sodiques (INaP). La désinhibition découle, en partie, d’une baisse de l’expression des cotransporteurs potassium-chlorure de type 2 (KCC2) à la membrane des motoneurones, modifiant ainsi le gradient électrochimique des ions Cl- et donnant un caractère excitateur aux deux principaux neurotransmetteurs inhibiteurs que sont le GABA et la glycine. Néanmoins, les mécanismes à l’origine des dérégulations du courant INaP et des co-transporteurs KCC2 ne sont toujours pas élucidés. / Spasticity is commonly caused by several pathologies and specifically after a spinal cord injury (SCI). Spasticity is usually associated with hypertonia, clonus, muscle spasm and pain. The present thesis aims to identify the upstream mechanism in the pathophysiology of spasticity Calpain, a calcium-activated cysteine protease, has been shown to participate in the development of the inflammatory processes after SCI. Of special interest, some determinants governing the inactivation of sodium (Na+) channels are sensitive to proteases and their proteolytic cleavage prevents inactivation of Na+ channels. As a result, INaP is strongly increased. It is worth mentioning that the C-terminal domain of KCC2 is also sensitive to proteases which alter KCC2 ability to extrude Cl- ions. Among the different proteases, calpains are able to truncate both Na+ channels and KCC2 transporters. This led us to consider the exciting possibility that a proteolytic cleavage of both Na+ channels and KCC2 by calpains could compose an upstream inflammatory mechanism contributing to the development of spasticity after SCI. My thesis demonstrates that the cleavage of Na+ channels and KCC2 by calpain after SCI, is responsible for the upregulation of INaP and disinhibition of motoneurons, that both act synergistically to generate spasticity. Calpain inhibition by MDL28170 reduced the cleavage of both Na+channels and KCC2 associated with a respective downregulation of INaP, hyperpolarizing shift of the EIPSP, and an alleviation of spasticity. The thesis represents a significant breakthrough by opening novel perspectives to develop therapies.