Deep brain stimulation (DBS) is a neurosurgical intervention now established for the treatment of movement disorders. For the treatment of chronic pain refractory to medical therapies, several prospective case series have been reported, but few centres worldwide have published findings from patients treated during the last decade using current standards of technology. This thesis seeks to survey the current clinical status of DBS for pain, investigate its mechanisms and their interactions with autonomic function, its clinical limitations and ablative alternatives. Presented first is a review of the current status of analgesic DBS including contemporary clinical studies. The historical background, scientific rationale, patient selection and assessment methods, surgical techniques and results are described. The clinical outcomes of DBS of the sensory thalamus and periventricular / periaqueductal grey (PAVG) matter in two centres are presented including results from several pain and quality of life measures. A series of translational investigations in human subjects receiving DBS for pain elucidating mechanisms of analgesic DBS and its effects upon autonomic function are then presented. Single photon emission tomography comparing PAVG, VP thalamus and dual target stimulation is described. Somatosensory and local field potential (LFP) recordings suggesting PAVG somatotopy are shown. ABPM results demonstrating changes with PAVG DBS are given and Portapres studies into heart rate variability changes with ventral PAVG DBS are detailed. Investigations using naloxone are then shown to hypothesise separate dorsal opioidergic and ventral parasympathetic analgesic streams in the PAVG. Finally, cingulotomy in lung cancer to relieve pain and dyspnoea results are discussed in the context of altering pain and autonomic function by functional neurosurgery. Pain and autonomic interactions and mechanisms in deep brain surgery for pain are then discussed alongside its limitations with proposals made for optimising treatment and improving outcomes.

<p>Interval timing, defined as timing and time perception in the seconds-to-minutes range, is a higher-order cognitive function that has been shown to be critically dependent upon cortico-striatal circuits in the brain. However, our understanding of how different neuronal subtypes within these circuits cooperate to subserve interval timing remains elusive. The present study was designed to investigate this issue by focusing on the spike waveforms of neurons and their synchronous firing patterns with local field potentials (LFPs) recorded from cortico-striatal circuits while rats were performing two standard interval-timing tasks. Experiment 1 demonstrated that neurons in cortico-striatal circuits can be classified into 4 different clusters based on their distinct spike waveforms and behavioral correlates. These distinct neuronal populations were shown to be differentially involved in timing and reward processing. More importantly, the LFP-spike synchrony data suggested that neurons in 1 particular cluster were putative fast-spiking interneurons (FSIs) in the striatum and these neurons responded to both timing and reward processing. Experiment 2 reported electrophysiological data that were similar with previous findings, but identified a different cluster of striatal neurons - putative tonically-active neurons (TANs), revealed by their distinct spike waveforms and special firing patterns during the acquisition of the task. These firing patterns of FSIs and TANs were in contrast with potential striatal medium-spiny neurons (MSNs) that preferentially responded to temporal processing in the current study. Experiment 3 further investigated the proposal that interval timing is subserved by cortico-striatal circuits by using microstimulation. The findings revealed a stimulation frequency-dependent "stop" or "reset" response pattern in rats receiving microstimulation in either the cortex or the striatum during the performance of the timing task. Taken together, the current findings further support that interval timing is represented in cortico-striatal networks that involve multiple types of interneurons (e.g., FSIs and TANs) functionally connected with the principal projection neurons (i.e., MSNs) in the dorsal striatum. When specific components of these complex networks are electrically stimulated, the ongoing timing processes are temporarily "stopped" or "reset" depending on the properties of the stimulation.</p> / Dissertation

Title from first page of PDF document. Includes bibliographical references (p. 22-31).

Στην παρούσα εργασία μελετάμε τη μοντελοποίηση του υποθαλαμικού πυρήνα των βασικών γαγγλίων με χρήση του μαθηματικού νευρωνικού μοντέλου Izhikevich. Βάση της μελέτης μας αποτελούν μικροηλεκτροδιακές καταγραφές, που έχουν ληφθεί κατά τη διάρκεια νευροχειρουργικών επεμβάσεων εν τω βάθει εγκεφαλικής διέγερσης, για τη συμπτωματική θεραπεία της νόσου Πάρκινσον. Θα ξεκινήσουμε με μια εισαγωγή στην φυσιολογία του νευρικού κυττάρου και στην ανατομία των βασικών γαγγλίων. Θα αναλύσουμε τα βασικά ποιοτικά μοντέλα που ερμηνεύουν τη συμμετοχή των τελευταίων σε κινητικές διεργασίες, αλλά και την εμπλοκή τους στη νόσο Πάρκινσον. Μετά από μια σύντομη αναφορά στη μέθοδο της εν τω βάθει διέγερσης και στις μικροηλεκτροδιακές καταγραφές, θα εστιάσουμε στα δυναμικά τοπικού πεδίου και στη νευροφυσιολογική σημασία τους. Συνεχίζοντας, θα κάνουμε μια περιεκτική ανασκόπηση των βασικότερων μαθηματικών μοντέλων νευρώνων και ύστερα θα επικεντρωθούμε στον υποθαλαμικό πυρήνα, περιγράφοντας δύο πρόσφατα μοντέλα που έχουν κατασκευαστεί για την προσομοίωση των νευρώνων αυτού. Έπειτα, θα περάσουμε στην περιγραφή του μοντέλου Izhikevich και στην τροποποίησή του για την αναπαραγωγή των χαρακτηριστικών του νευρώνα του υποθαλαμικού πυρήνα. Κατόπιν, θα αναλύσουμε τη μεθοδολογία που ακολουθήσαμε στην παρούσα υλοποίηση και τις βασικές θεωρήσεις της μοντελοποίησης μας. Θα ολοκληρώσουμε με την παρουσίαση των αποτελεσμάτων, το σχολιασμό αυτών και τις ιδέες για μελλοντική επέκταση της μεθόδου μας. / The main objective of this MSc thesis is the study of subthalamic nucleus, by using the Izhikevich neuron model. Microelectrode recordings, taken during deep brain stimulation operations for Parkinson’s disease, have been used for that purpose. In chapters 1-2, there is an introduction to the physiology of the neuron and the basal ganglia anatomy. In the two following chapters, we are analyzing the basic qualitative models that describe the involvement of the basal ganglia in movements and the pathophysiology of Parkinson’s disease. We are briefly discussing the method of deep brain stimulation, microelectrode recordings processing and the extraction of local field potentials. In chapter 5, the basic mathematical neuron models are discussed. We are focusing on the subthalamic nucleus and we are describing two recently developed mathematical models of the subthalamic neuron. In chapter 6, we are outlining Izhikevich neuron model and its modification in order to describe the subthalamic neuron. In addition, we are analyzing the methodology developed for the implementation of the modeling process and our basic considerations. In chapter 7, the results of the simulation are presented and discussed, so that our conclusions provide ideas for further research.

Les potentiels de champs locaux (LFP) sont des événements de fréquence inférieure à 200-500 Hz, résultant de l'activité cérébrale. Leur signification et les mécanismes contribuant à leur formation sont encore très débattus. Ainsi, l'existence et l'importance d'un filtrage des courants ioniques par le tissu cérébral est controversée. Certains auteurs concluent que le milieu est résistif, alors que d'autres suggèrent que le tissu cérébral pourrait exercer un filtrage passe-bas significatif sur les courants électriques. Une méthode de mesure nouvelle est présentée ici, s'appuyant sur le concept d'impédance naturelle, mesurée en utilisant un neurone comme " électrode " . Ceci permet d'obtenir l'impédance la plus pertinente d'un point de vue physiologique, en termes d'interface électrode-milieu, d'intensité des courants et d'échelle spatiale. L'impédance mesurée est stable, reproductible, plus forte que celle mesurée traditionnellement, et possède une dépendance en fréquence en 1/vf. Un modèle physique prenant en compte la diffusion ionique dans le milieu est capable de reproduire cette impédance. Une méthode similaire permet de calculer la fonction de transfert entre les potentiels intra- et extracellulaire d'un neurone. Des modèles sont proposés pour expliquer sa forme, prédire les LFP d'après l'activité cellulaire et vice-versa. Ces résultats pourraient aider à l'interprétation des signaux de LFP et d'électroencéphalographie, permettant une compréhension plus profonde du fonctionnement cérébral physiologique et pathologique. / Local field potentials (LFPs) are low-frequency (< 200-500 Hz) events resulting from brain activity. Their meaning and the mechanisms shaping them have been highly debated for decades. The existence and importance of a frequency-dependant filtering of ionic currents by brain tissue is controversial. Some authors conclude that the medium is resistive, while others suggest that brain tissue may exert significative low-pass filtering on electrical currents. A new measurement method is presented here, relying on the concept of natural impedance, which is measured using a neuron as an ''electrode''. This allows to obtain the most relevant impedance from a physiological point of view, in terms of electrode-medium interface, current intensity and spatial scale. The measured impedance is stable, reproducible, stronger than what is traditionally measured, and has a 1/\√f frequency dependance. A physical model, taking into account ionic diffusion in the medium, is able to reproduce this impedance. A similar method allows to compute the transfer function between the intra- and extracellular potentials of a neuron. Models are proposed to explain its structure, predict LFPs from cell activity and vice-versa. These results may help interpreting LFP and electroencephalography signals, yielding a deeper understanding of the physiological and pathological brain function.

Na epilepsia do lobo temporal (ELT), alterações morfofuncionais em estruturas límbicas são classicamente acompanhadas de déficits cognitivos. Estudos anteriores revelaram que disfunções eletrofisiológicas em circuitos hipocampo-corticais são observadas durante o sono NREM (non rapid eye movement), onde eventos patológicos como fast ripples e IEDs (interictal epileptiform discharges) substituem gradativamente eventos fisiológicos, como as sharp-wave ripples (SWR). Tal substituição pode estar por trás dos prejuízos cognitivos observados tanto nos modelos animais como em pacientes, já que as SWRs são fundamentais para a transferência de informação do hipocampo ao córtex durante a consolidação de memórias. De maneira complementar, o sono REM também parece exercer um papel fundamental em processos mnemônicos, facilitando eventos de plasticidade sináptica e coordenando regiões encefálicas distantes por meio de acoplamento entre diferentes frequências oscilatórias, tais como teta e gama. Entretanto, as alterações no sono REM durante os processos de epileptogênese ainda foram pouco exploradas. Neste trabalho testamos a hipótese de que disfunções na coordenação rítmica durante o sono REM estariam associadas a prejuízos de memória que se manifestam na epileptogênese. Para isso, submetemos ratos Wistar adultos machos a protocolo de abrasamento rápido da amígdala basolateral, possibilitando a avaliação de alterações eletrofisiológicas gradativas durante o processo de epileptogênese. Foram realizados implantes crônicos de eletrodos para registro do potencial local de campo (LFP, Local Field Potential) nas regiões de CA1 e do córtex pré-frontal medial (mPFC, medial prefrontal cortex), além de eletrodos bipolares para estímulo na amígdala basolateral. Os protocolos de abrasamento foram realizados durante um período de 3 dias, aplicando-se diariamente 10 trens de estímulos a 50 Hz com duração de 10 segundos. Para avaliarmos os prejuízos cognitivos, os animais foram submetidos a testes de reconhecimento de objetos antes do início a após o término dos protocolos de abrasamento. O sonosubsequente às sessões de reconhecimento de objetos e aos protocolos de estimulações foram registrados diariamente. Além do prejuízo no reconhecimento de objetos e alterações eletrofisiológicas durante o sono NREM, como a substituição gradativa de ripples por IEDs, os animais submetidos ao abrasamento elétrico apresentaram um aumento na comodulação fase-amplitude entre oscilações teta e gama durante o sono REM após as estimulações, exibindo também uma correlação negativa entre a comodulação e a duração das pós-descargas induzidas pelos estímulos elétricos do abrasamento durante o sono subsequente a aplicação dos protocolos. Nossos achados ampliam a compreensão vigente sobre como alterações de oscilações cerebrais durante o sono, especialmente da fase REM, poderiam estar subjacentes a prejuízos de memória que ocorrem na ELT. / Morphofunctional changes in limbic structures are classically followed by cognitive deficits in Temporal Lobe Epilepsy (TLE) patients. Previous studies revealed that electrophysiological dysfunctions in hippocampal-cortical circuits are observed during NREM (non-rapid eye movement) sleep, where pathological events such as fast ripples and IEDs (interictal epileptiform discharges) gradually replace physiological events, such as Sharpwave Ripples (SWR). This replacement seems to describe the cognitive impairments observed in animal models and TLE patients since SWRs are fundamental for information transfer from the hippocampus to cortex during memory consolidation. Complementary, REM sleep also plays a significant role in mnemonic processes, facilitating synaptic plasticity events and coordinating distant brain regions by coupling different frequencies, such as theta and gamma. However, alterations in REM sleep during the epileptogenesis processes are poorly investigated. In this study, we tested the hypothesis that dysfunctions on rhythmic coordination during REM sleep would be associated with memory deficits showed during epileptogenesis. For this, we submitted adult Wistar rats to a rapid kindling protocol on basolateral amygdala (BLA), allowing the evaluation of progressive electrophysiological changes during the epileptogenic process. Chronic electrodes were implanted for the local field potentials (LFP) recording in the CA1 and medial prefrontal cortex (mPFC), as well as bipolar electrodes for BLA stimulation. The kindling protocols were performed during three days, applying ten trains of 50 Hz stimulations with ten seconds duration. Object recognition tasks were performed before and after the kindling protocol to evaluate cognitive impairment. Sleep recordings were performed daily after the object recognition or kindling application. Along with object recognition impairment and electrophysiological changes during NREM sleep, such as progressive SWR substitution by IEDs, kindled rats presented an increase in phase-amplitude comodulation between theta and gamma oscillations during REM sleep after stimulation sessions, which also correlates negatively with after-discharges (AD) duration induced by the kindling stimulation. Our findingsexpand the comprehension about how changes in brain oscillations during REM sleep underlies observed memory deficits in TLE.

Local field potentials (LFPs), extracellular potentials that reflect localized electrical activity, have long been used as a window to understand the behavioural dependence and mechanistic aspects of brain physiology. A principal premise that has driven the interpretation of LFPs is that they largely reflect the synaptic drive that impinges on neurons located in the vicinity of the recording microelectrode. An implicit, yet critical, assumption that led to the emergence of this premise is that dendrites, the structures onto which most synaptic inputs project, are purely passive compartments. However, there is a growing body of evidence demonstrating that dendrites express a plethora of active conductance, like voltage-gated ion channels, several of which are active in the subthreshold regime. These subthreshold-activated ion channels and their intra-neuronal localization profiles play widely acknowledged regulatory roles in the physiology, plasticity and pathophysiology of synapses and neurons. Despite this, the implications for the existence of these subthreshold conductances on constituent oscillatory patterns in LFPs and on the phase of neuronal spiking with reference to oscillating LFPs have surprisingly remained unexplored. The aim of this thesis is to examine if there exists a role of subthreshold conductances in regulating LFPs and the phase of spikes with reference to these LFPs. To address this, we chose to study LFPs and spikes from the CA1 region of the rat hippocampus, with hyperpolarization-activated cyclic-nucleotide-gated (HCN) channels forming the specific subthreshold conductance of focus. The reasons behind these choices were manifold. First, CA1 pyramidal neurons are arranged in a laminar open-field configuration, making the interpretation of the source-sink formation in this region relatively tractable. Second, the dendrites of these neurons are endowed with a multitude of subthreshold conductances whose expression profiles, physiology and plasticity have been characterized in great detail. Third, this brain region has been implicated in coding for episodic and spatial memories. The phase of the spikes of the CA1 pyramidal neurons, with reference to the LFP, is believed to serve as a code that can be used to decode the location of the animal. Given that the most dominant LFP pattern seen in the CA1 region during such active exploration (and possibly encoding of spatial memories) consists of oscillations in the 4–10 Hz theta frequency band, we decided to focus our study on theta-frequency LFPs. Finally, consistent with the choice of the specific band of LFP frequencies, we focused on HCN channels because of their predominantly dendritic expression and their ability to bestow resonance and impedance phase lead, both in the theta-frequency range, on CA1 pyramidal neurons. In exploring the role of HCN channels on LFPs, we used a multi-compartmental morphologically realistic CA1 pyramidal neuron model and introduced an HCN channel conductance gradient that was constrained with several experimental measurements. This neuron was driven by dendritic excitatory synapses and perisomatic inhibitory synapses, both theta-modulated with a phase difference of +60º between their arrivals timings. We increased the excitatory synaptic conductance with distance from the soma to account for the fact that irrespective of the location of the synapse in the dendrites, the unitary excitatory post-synaptic potential remains the same at the soma. Employing these model configurations, we generated 25 different synaptic distributions on the same neuronal morphology to account for the input variability and for each of these models, we recorded transmembrane currents from all the compartments, for 8–10 cycles of the theta-modulated inputs. To model LFPs using the forward modelling scheme of line source approximation, we designed a cylindrical neuropil of 40 µm height and 100 µm radius and inserted a virtual linear electrode with 7 contact points distributed on the probe at the canter of the neuropil such that we could compute the LFP at all the strata of the CA1 region. Accounting for the volume of the neuropil and the density of neurons in this region, we took 440 instances of the morphology, rotated them at uniformly distributed angles, and distributed the somata of these model neurons within the neuropil. Each of these 440 neurons received transmembrane currents from one of the 25 models picked uniformly. With a passive model, where we did not introduce HCN channels, we expectedly observed the formation of a source-sink structure that expressed as a progressive phase shift spanning different strata, owing to the perisomatic inhibitory currents coupled with the dendritic excitatory currents. On introducing a somatodendritic gradient of HCN conductance with identical input conditions, we observed a phase lead in the LFPs across all the layers, with the magnitude of the lead increasing with distance from the soma in a manner that was correlated with the increase in HCN conductance. Next, we computed spike phases, for each of the 25 neuron models, with reference to the stratum pyramidale (SP) LFP for model configurations with and without HCN channels. We found that the spikes showed a phase lag in the presence of a gradient of HCN channels when compared to the spike phases measured from the passive neuron models. Finally, we computed the coherence of spikes across all the 25 passive or 25 active (with HCN channels) neuron models and found that the presence of HCN channels greatly enhanced spike phase coherence across neurons. Together, these results demonstrate that the presence of HCN channels introduces a lead in the theta-frequency LFP phase, a lag in the associated spike phase, and a significant enhancement of spike phase coherence. Exploring the robustness of these findings to the model configuration, we first found these conclusions to be robust to increases in neuropil size (400-µm diameter neuropil with 1797 neurons, and 1-mm diameter neuropil with 11297 neurons). Next, we introduced heterogeneities in the population of neurons (in terms of morphology as well as passive and active properties) that formed the neuropil, and found our conclusions to be invariant to such degeneracy in the underlying neuronal population. It has been observed that under certain pathological conditions like epilepsy, an entire population of CA1 neurons can undergo intrinsic plasticity, such as global (i.e., across the entire neuronal topograph) downregulation of HCN channels. To assess the impact of such up/downregulation on LFPs, we respectively increased/decreased HCN channel conductance globally in our model neurons, and found the magnitude of the lead in the LFP phase to progressively increase with HCN-channel conductance. Similarly, the magnitude of the spike-phase lag and the spike phase coherence also progressively increased as functions of HCN-channel conductance. Although such population-level global intrinsic plasticity is observed under pathological conditions, a more physiological scenario would be when a single neuron, in the process of encoding new inputs (such as encoding spatial or episodic memories), undergoes intrinsic plasticity. To assess this, we increased or decreased HCN-channel conductance specifically in a single neuron placed closest to the electrode, while leaving the HCN expression in other neurons of the neuropil at the baseline level. Expectedly, we did not find significant changes in LFP amplitude or phase, but we did find a significant lag in the spike phase preference of the neuron that underwent an upregulation of HCN conductance. Another physiological scenario is when the rat experiences a reward or exhibits anxiety-like behaviour, which can lead to changes in hormonal or neuromodulator concentrations. These changes, functioning through the activation of G-protein coupled receptors and the consequent elevation of cytosolic cyclic adenosine monophosphate (cAMP) concentrations, could shift the half-maximal activation voltage ( V1/2 ) of HCN channels to a more depolarized potential. Would such a shift in V1/2 impact LFPs and spike phases in a manner similar to that observed with increasing the conductance of HCN channels? Assessing this within our modeling framework, we found that shifting the V1/2 by +5 mV resulted in an increased lead in the LFP phase, an increased lag in the spike phase and an enhanced spike phase coherence compared to the case with a hyperpolarized V1/2 . What are the biophysical mechanisms that underlie these robust changes observed in LFPs and spike phases observed as a consequence of these several ways of increasing the current through HCN channels? We reasoned that our observations could be explained by one of the two distinct changes conferred on CA1 pyramidal neuron physiology by the presence of HCN channels. First, in the presence of HCN channels, the voltage response of CA1 pyramidal neurons shows a phase lead with reference to a sinusoidal current input (inductive phase lead) in the theta frequency range. Second, HCN channels regulate the excitability of these cells by decreasing the input resistance and impedance amplitude. To delineate the differential role of the inductive changes vs. changes in excitability, we replaced HCN channels by a faster variant (HCNFast) such that neuronal excitability remained the same while abolishing the inductive phase lead in the theta band. On doing so, we found that the lead in the LFP phase and the lag in the spike phase brought about by HCN channels was partially reversed when HCN conductance values were low. However the reversal was not substantial when HCN conductance values were high, suggesting that the inductive phase component dominates at lower HCN channel conductances, whereas the excitability component plays a critical role at higher HCN conductances. Akin to intrinsic plasticity mentioned above, under certain pathological conditions, an entire population of neurons can undergo scaling of their excitatory or inhibitory synapses. In assessing the implications for such synaptic plasticity, we first found that our conclusions on the roles of HCN channels in introducing a lead in the LFP phase, a lag in the spike phase and an enhancement of spike phase coherence were invariant to the specific values of synaptic conductances, or the phase difference between excitatory and inhibitory theta-modulated inputs. While these observations further established the robustness of the changes brought about by HCN channels to LFPs and associated spikes, we next asked whether synaptic plasticity, mediated by changes in subthreshold synaptic conductances, could itself bring about changes in the LFP and spike phase. Expectedly, we found that scaling up of excitatory synapses introduced a mild lag in the LFP phase and a lead in the spike phase, whereas scaling up of inhibitory synapses introduced a lead in the LFP phase and a lag in the spike phase. Finally, we observed a critical role of the arrival phase of inhibition with reference to excitation in altering both, the stratum pyramidale LFP and associated spike phases, with the magnitude of change in both the LFP and the spike phase roughly following the magnitude of the shift in the excitatory-inhibitory phase difference. However, in contrast to changes observed with HCN-channel plasticity, there was no significant change in spike phase coherence with any of the three forms of synaptic changes explored. Together, our results identify definite roles for HCN channels and synaptic receptors in phase-coding schemas and in the formation and dynamic reconfiguration of neuronal cell assemblies and present a clear case for the incorporation of subthreshold-activated ion channels, their gradients, and their plasticity into the computation of LFPs. Given the rich expression of several subthreshold ion channels — including HCN, A-type potassium and T-type calcium — in neuronal dendrites, future work could focus on the impact of subthreshold channels on LFPs recorded in different brain regions under different behavioral states. This thesis is organized into seven chapters. Chapter 1 provides the motivations for the study, introduces the aim of the study and poses the specific questions asked in our endeavor to understand the role of subthreshold conductances in regulating LFPs and spike phases. Chapter 2 discusses the physiological foundations and relevant literature that places the questions posed in the first chapter in the context of the aim of the thesis, with an emphasis on the literature on HCN channels. In chapter 3, we introduce the computational and theoretical foundations required to model neurons and to compute LFPs. In chapter 4, we look at the consequences of the presence of a non-uniform density of somatodendritic HCN channels on LFPs and spike phase and test the robustness of the effects observed. In chapter 5, we present our assessment of the impact of intrinsic plasticity/modulation of HCN channels on LFPs and spike phases, also exploring the biophysical mechanisms underlying such an impact. In chapter 6, we test if the observed effects still hold under synaptic plasticity, and assess the regulation of LFPs and spike phases by synaptic changes. In chapter 7, we summarize and conclude the results presented in the preceding chapters and provide some potential directions for future studies.

Choisir quel mouvement effectuer est une fonction primordiale du système nerveux central. Comment ces décisions sont prises est encore sujet à débats. Une hypothèse traditionnelle pose qu’elles sont prises de façon sérielle, à l’aide de processus perceptifs qui alimentent un exécutif central, qui communique ensuite au système moteur quel mouvement effectuer. L’hypothèse alternative préférée par notre équipe est que les mouvements potentiels commencent à être préparés en parallèle et entrent en compétition pour les effecteurs. Dans le but de tester ces hypothèses, notre équipe a enseigné à un macaque une tâche de prise de décision motrice. Le sujet y est placé devant un écran où deux cibles apparaissent. Chacune a une valeur qui découle de deux caractéristiques : sa luminosité (BU pour bottom-up, information ascendante) et l’orientation d’une ligne qui la coupe comme une aiguille d’horloge (TD pour top-down, information descendante.) Le sujet choisit une des deux à l’aide d’un mouvement d’atteinte, et reçoit une récompense proportionnelle à sa valeur. Cette tâche permet de comparer plusieurs types d’essais : certains présentent une seule cible, une absence de choix, ou deux cibles identiques, un choix sans conséquence. D’autres ont une cible plus valable que l’autre, le choix est alors facile. On peut alors faire varier la caractéristique (BU ou TD) qui donne une plus grande valeur à la meilleure cible. Finalement, on peut montrer deux cibles de valeur égale, mais dont une tire sa valeur d’un bon score TD et l’autre, d’un bon score BU. Le sujet doit alors, en quelque sorte, choisir entre les caractéristiques. Pendant que le sujet exécute la tâche, on enregistre ses potentiels de champ locaux (LFP) à l’aide de deux réseaux d’électrodes déplaçables individuellement, l’un placé dans le cortex pariétal postérieur (PPC) et l’autre, dans le cortex prémoteur dorsal (PMd). L’analyse de ces données à l’aide de spectrogrammes, et une discussion des réactions spécifiques dans les bandes de fréquences alpha, bêta et gamma, sont présentées ici. / Choosing which movement to make is a primary function of the central nervous system. How these decisions are made is still a matter of debate. A traditional hypothesis posits that such decisions are made in a serial fashion: perceptual processes feed into a central executive, which then communicates to the motor system which movement to make. The alternative hypothesis preferred by our team is that potential movements begin to be prepared in parallel, and compete for effectors until a consensus forms in brain areas related to controlling the movements. In order to test these hypotheses, our team taught a macaque to perform a reach-based decision-making task. The subject is placed in front of a screen on which two targets appear. Each target has a value derived from two features: its brightness (BU, bottom-up information) and the orientation of a line that crosses it like a clock hand (TD, top-down information.) The subject freely chooses one of the two targets by reaching it, and then receives a reward proportional to its value. This task compares several types of trials: some show a single target, therefore no choice, or show two identical targets, which means the choice has no consequences. Other trials have one target that is more valuable than the other, which makes the choice easy. The feature which gives that better target a greater value can be either BU or TD. Finally, some trials show two targets of equal value, but one of them derives its value from a good TD score while the other derives its value from a good BU score. The subject must then choose between the features. While the subject performs the task, local field potentials (LFP) are recorded using two individually movable electrode arrays. One array is placed in the posterior parietal cortex (PPC) and the other, in the dorsal premotor cortex (PMd). The data thus obtained is analyzed using spectrograms, and a discussion of specific responses in the alpha, beta, and gamma frequency bands is presented here.

No description available.

Les épilepsies acquises se déclarent après un processus graduel appelé épileptogenèse. Bien que cliniquement silencieux, ce processus implique des modifications fonctionnelles observables notamment par électroencéphalographie. Cette thèse vise i) à identifier des marqueurs électrophysiologiques apparaissant au cours de l’épileptogenèse, et ii) à comprendre les modifications physiopathologiques sous-jacentes responsables de ces marqueurs et de leur évolution temporelle. Dans un premier temps, nous avons, dans un modèle d’épilepsie partielle chez la souris, monitoré des signaux électrophysiologiques intracérébraux pendant la mise en place de la maladie. Nous avons observé dans ces signaux expérimentaux, l’émergence d’événements transitoires pathologiques appelés pointes épileptiques. Nous avons développé des méthodes de traitement du signal pour détecter et caractériser automatiquement ces événements. Ainsi, nous avons pu mettre en évidence certains changements dans la forme des pointes épileptiques au cours de l’épileptogenèse ; en particulier l’apparition et l’augmentation d’une onde qui suit la pointe épileptique. Une hypothèse défendue dans ces travaux est que ces changements morphologiques peuvent constituer des marqueurs de l’épileptogenèse dans ce modèle animal. Dans un second temps, afin d’interpréter ces modifications électrophysiologiques en termes de processus neurophysiologiques sous-jacents, nous avons implémenté un modèle biomathématique, physiologiquement argumenté, capable de simuler des pointes épileptiques. Formellement, ce modèle est un système dynamique non linéaire qui reproduit les interactions synaptiques (excitatrices et inhibitrices) dans une population de neurones. Une analyse de sensibilité de ce modèle a permis de mettre en évidence le rôle critique de certains paramètres de connectivité dans la morphologie des pointes. Nos résultats montrent en effet, qu’une diminution de l’inhibition GABAergique entraîne un accroissement de l’onde dans les pointes épileptiques. À partir du modèle théorique, nous avons pu ainsi émettre des hypothèses sur les modifications opérant au cours du processus d’épileptogenèse. Ces hypothèses ont pu être en partie vérifiées expérimentalement en bloquant artificiellement l’inhibition GABAergique, dans le modèle in vivo chez la souris, et dans un modèle in vitro chez le rat. En conclusion, ce travail de thèse fournit, dans un modèle animal, un biomarqueur électrophysiologique de l’épileptogenèse et tente d’expliquer, grâce à une modélisation biomathématique, les processus neurophysiologiques sous-jacents qu’il reflète. / Acquired epilepsies occur after a process called epileptogenesis. Although clinically silent, this process involves some functional modifications which can be observed by electroencephalography. The objectives of this thesis are i) to identify electrophysiological markers occurring during epileptogenesis, and ii) to understand which underlying pathophysiological modifications are responsible for these markers and their evolution. Firstly, using an in vivo experimental mouse model of partial epilepsy, we have monitored intracranial electrophysiological signals during epileptogenesis. We observed the emergence of pathological transient events called epileptic spikes. We have developed signal processing methods in order to automatically detect and characterize these events. Hence, we observed and quantified morphological changes of epileptic spikes during epileptogenesis. In particular, we noticed the emergence and the increase of a wave which directly follows the spike component. In this work, we defend the hypothesis that these morphological modifications can constitute markers of the epileptogenesis process in this animal model of epilepsy. Secondly, in order to interpret these electrophysiological modifications in terms of underlying pathophysiological processes, we have implemented a computational model able to simulate epileptic spikes. This neural mass model is a neurophysiologically-plausible mesoscopic representation of synaptic interactions (excitation and inhibition) in the hippocampus. Based on a sensitivity analysis of model parameters, we were able to determine some connectivity parameters that play a key role in the morphology of simulated epileptic spikes. In particular, our results show that a diminution of GABAergic inhibition leads to an increase of the aforementioned wave. Thus, using this theoretical model, we defined some hypotheses about pathophysiological modifications occurring during the epileptogenesis process. One of these hypotheses has been confirmed in blocking GABAa receptors in the in vivo mouse model, as well as in an in vitro model (rat, organotypic slices). In summary, based on the shape features of epileptic spikes, we devised an electrophysiological biomarker of epileptogenesis observed in a mouse model but useful in Human studies as well. Moreover, a computational modeling approach has permitted to suggest which pathophysiological processes might underlie this biomarker.