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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
121

DOES PROTEASOME INHIBITION PRODUCE REM SLEEP BEHAVIOUR DISORDER LEADING TO PARKINSON’S DISEASE? EXAMINING A PROGRESSIVE MODEL OF PARKINSON’S DISEASE

McGilvray, Mark 28 April 2010 (has links)
A recent model of Parkinson’s disease (PD) suggests that the neuropathological, behavioural and cognitive symptoms progress in stages. There is substantial evidence for a prodromal stage of PD, during which time pre-motor symptoms develop. Rapid eye movement (REM) sleep behaviour disorder (RBD) is a risk factor for developing PD and may be part of the pre-motor stage. In both disorders, neuropathological α-synuclein aggregates are thought to be a direct cause of the resulting symptoms. One model has shown that in rats, proteasome inhibition produced by systemic exposure to environmental toxins results in α-synuclein pathology and motor behaviour dysfunction that mimics the progression of PD in humans. The present study examined the hypothesis that the systemic proteasome inhibition model would produce pre-Parkinsonian RBD-like pathology in rats. It was expected that sleep disturbances would be seen prior to behavioural disturbances in rats treated systemically with PSI (a proteasome inhibitor). Following baseline sleep recording and training on the inclined beam-traverse task, rats were injected with PSI (a proteasome inhibitor) or ethanol (control), 6 times over 2 wk. Sleep recording over 8 wk and behavioural testing over 16 wk provided no evidence of sleep disturbances or motor dysfunction. Post-mortem immunohistochemical analyses of brain tissue provided no evidence of PSI-associated α-synuclein aggregates in the locus coeruleus, subcoeruleus (dorsal part), or substantia nigra (areas involved in RBD and/or PD). These results did not provide support for RBD as a prodromal phase of PD within the systemic proteasome inhibitor-based model and add to a growing body of research reporting inconsistent findings using this model. We suggest that systemic PSI exposure in rats does not produce a viable model of RBD or PD. Whether RBD is an early symptom in the progression of PD remains to be established. / Thesis (Master, Neuroscience Studies) -- Queen's University, 2010-04-28 12:04:50.613
122

Axe cerveau-intestin et contrôle de la prise alimentaire : exemple d'altérations chez un modèle animal de schizophrénie / Brain-gut axis and control of foodintake : example of alterations in an animal model of schizophrenia

Voinot, Florian 09 October 2012 (has links)
L’axe cerveau-intestin désigne l’interaction bidirectionnelle entre le cerveau et le tube digestif. Bien que la leptine, hormone produite par le tissu adipeux, participe à la régulation de cet axe, son mode d’action dans le système nerveux entérique a été peu étudié. A l’heure actuelle, une relation étroite entre une perturbation de l’axe cerveau-intestin et la schizophrénie est supposée. Par conséquent, les objectifs de ce travail étaient d’évaluer 1) les effets ex vivo de la leptine dans la neurotransmission entérique chez le rat et 2) les altérations périphériques dans un modèle neurodéveloppemental de la schizophrénie (NVHL) chez le rat. Nous avons montré que la leptine module l’activité des neurones entériques inhibiteurs et excitateurs dans le jéjunum et le côlon proximal. L’implication des neurones afférents primaires intrinsèques a été discutée. Chez les rats NVHL, nous avons mis en évidence une réduction de la masse corporelle, des variations hormonales, une inflammation du jéjunum et des altérations motrices digestives. La relation entre les troubles périphériques, notamment vagaux, et la physiopathologie de la schizophrénie a été discutée. / The brain-gut axis refers to the bidirectional interaction between the gut and the brain. Although leptin, a hormone released from fat tissue, is involved in the brain-gut axis control, its mechanism of action in the enteric nervous system has not been studied so far. Nowadays, brain-gut axis dysfunctions are supposed to be in close connection with schizophrenia. Therefore, the goals of this work were to determine 1) the effects of leptin on rat enteric nervous system neurotransmission and 2) peripheral alterations in the NVHL neurodevelopmental rat model of schizophrenia. We showed that leptin modulates inhibitory and excitatory enteric motor neurons activity in jejunum and proximal colon. Implication of intrinsic primary afferent neurons was discussed. In NVHL rats, we showed a decrease in body mass, some hormonal variations, jejunal inflammation and gastro-intestinal mechanical activities alterations. The relation peripheral alterations, like vagus nerve dysfunction, and the physiopathology of schizophrenia was discussed.
123

Estimulação vagal aferente e transcraniana reduzem a inflamação articular por meio de um arco neural central similar dependente do aumento da atividade simpática: o papel fundamental do lócus cerúleos / Afferent and transcranial vagal stimulation reduce joint inflammation by means of a similar central neural arch dependent on increased sympathetic activity: the key role of the cerulean locus

Gabriel Shimizu Bassi 25 October 2016 (has links)
A atrite reumatóide é uma doença inflamatória crônica, sem cura, que afeta cerca de 1% da população mundial entre 35 e 65 anos, cujos sinais e sintomas incluem dor, edema, rigidez, degeneração e deformidades articulares. O atual tratamento da artrite reumatóide consiste no uso de drogas anti-reumáticas modificadores de doença (DMARDs), porém são compostos caros e imunossupressivos que podem elevar o risco de infecções graves e malignidades. No presente estudo, analisamos o nervo vago como potencial imunomodulador da inflamação que ocorre na artrite reumatóide experimental. Nossos resultados indicam que a estimulação vagal aferente controla a inflamação articular por meio da ativação de áreas encefálicas simpatoexcitatórias, tais como o núcleo paraventricular do hipotálamo (PVN) e o locus coeruleus (LC). A estimulação do PVN ou do LC diminui a inflamação na articulação, mas somente a integridade do LC foi obrigatória para o controle vagal da inflamação na artrite. A estimulação elétrica cortical direcionada para o córtex parietal ativou o LC e o PVN, mimetizando a ativação vagal, porém induziu um melhor controle da inflamação. Esses resultados sugerem a existência de um mapa encefálico neuroimune capaz de controlar a artrite sem causar efeitos colaterais observáveis. / There is no cure for rheumatoid arthritis affecting over 1% of the world population between 35 e 65 years old suffering chronic inflammation causing pain, swelling, stiffness, degeneration e joint deformities. Disease-modifying anti-rheumatic drugs (DMARDs) are expensive e immunosuppressive, increasing the risk of severe infections e malignancies. Here, we analyzed the potential of the vagus nerve to control experimental arthritic inflammation. Our results indicate that the afferent vagus nerve controls arthritic joint inflammation by activating specific sympatho-excitatory brain areas, such as the paraventricular hypothalamic nucleus (PVN) e the locus coeruleus (LC). PVN or LC stimulation decreased articular inflammation, but only LC integrity was necessary for vagal control of arthritic inflammation. Cortical electrical stimulation above the parietal cortex activated LC e PVN, mimicked vagal activation but induced a better control of arthritic joint inflammation. These results suggest a neuroimmune brain map to control side-specific lateral arthritic joint inflammation without noticeable side effects.
124

Modélisation de l’interface entre une électrode multipolaire et un nerf périphérique : optimisation des courants pour la stimulation neurale sélective / Modeling the interface between a multipolar electrode and a peripheral nerve : optimization of currents for selective neural stimulation

Dali, Mélissa 21 November 2017 (has links)
La stimulation électrique neurale, appliquée au système nerveux périphérique pour la restauration des fonctions motrices ou la neuromodulation, est une technologie en plein essor, en particulier la stimulation implantée avec des électrodes Cuff positionnées autour d’un nerf périphérique. Le principal frein au développement des systèmes de stimulation est la difficulté à obtenir la stimulation ou l’inhibition des fonctions cibles de manière précise et indépendante, c’est-à-dire, obtenir une sélectivité des fonctions. Les paramètres impliqués dans la sélectivité au sens large ne sont pas toujours intuitifs, et le nombre de degrés de libertés (choix de l’électrode, nombre de contacts, forme du pulse etc.) est important. Tester toutes ces hypothèses en expérimentation n’est pas faisable et inenvisageable dans le réglage des neuroprothèses en contexte clinique. La modélisation a priori nous permet d’établir des critères de choix, de déterminer les stratégies les plus efficaces et de les optimiser. Par ailleurs, un grand nombre d’études ont pu prévoir des stratégies de sélectivité inédites grâce à la modélisation, et validées a posteriori par l’expérimentation. Le schéma de calcul scientifique est composé de deux parties. On modélise, d’une part, la propagation du champ de potentiels électriques générés par les électrodes à l’intérieur d’un volume conducteur représentant le nerf (étude biophysique), et d’autre part l’interaction entre ce champ de potentiels et les neurones (réponse électrophysiologique). Notre première contribution propose une méthode originale de modélisation et d’optimisation de la sélectivité spatiale avec une électrode Cuff, sans connaissance a priori de la topographie de nerf. Partant de ce constat, nous déterminons de nouveaux critères, l’efficacité et la robustesse, complémentaires à la sélectivité, nous permettant de faire un choix entre des configurations multipolaires concurrentes. Ainsi, en fonction de la pondération de ces critères, nous avons développé un algorithme d’optimisation pour déterminer la configuration optimale en fonction de la zone choisie, du diamètre des fibres visées ainsi que de la durée de stimulation, pour un pulse type rectangulaire de référence. Des expérimentations sur modèle animal nous ont permis d’évaluer l’efficacité de la méthode et sa généricité. Ce travail est partie intégrante d’un projet plus vaste de stimulation du nerf vague (projet INTENSE), où l’une des applications concerne le traitement des troubles cardiaques. L’objectif est d’activer sélectivement une population spécifique de fibres nerveuses pour obtenir des effets plus ciblés conduisant à une thérapie améliorée, tout en diminuant les effets secondaires. La deuxième contribution consiste à combiner la sélectivité spatiale et la sélectivité au diamètre de fibre avec un modèle générique de nerf et une électrode Cuff à 12 contacts. L’utilisation d’une forme d’onde particulière (prépulse) combinée avec des configurations multipolaires permet d’activer des fibres d’un diamètre défini dans un espace ciblé. Les perspectives cliniques sont nombreuses, notamment sur la réduction de la fatigue liée à l’utilisation prolongée de la stimulation ou la diminution des effets secondaires. Dans le cadre du projet INTENSE, la seconde application liée à la stimulation du nerf vague vise le problème de l’obésité morbide. L’activation des axones cibles liés aux fonctions gastriques nécessite une quantité de charges conséquente. Plusieurs études suggèrent que les formes de pulse non rectangulaires peuvent activer les axones du système nerveux périphérique avec une quantité de charges réduite comparée à la forme de pulse rectangulaire de référence. Notre dernière contribution concerne l’étude expérimentale et de modélisation de ces formes d’ondes complexes. L’approche par modélisation, si elle est bien maîtrisée, apporte une analyse pertinente voire même indispensable au réglage clinique des neuroprothèses. / Neural electrical stimulation, applied to the peripheral nervous system for motor functions restoration or neuromodulation, is a thriving technology, especially implanted stimulation using Cuff electrodes positioned around a peripheral nerve. The main obstacle to the development of stimulation systems is the difficulty in obtaining the independent stimulation or inhibition of specific target functions (i.e. functional selectivity). The parameters involved in selectivity are not always intuitive and the number of degrees of freedom (choice of electrode, number of contacts, pulse shape etc.) is substantial. Thus, testing all these hypotheses in a clinical context is not conceivable. This choice of parameters can be guided using prior numerical simulations predicting the effect of electrical stimulation on the neural tissue. Numerous studies developed new strategies to achieve selectivity based on modeling results that have been validated a posteriori by experimental works. The computation scheme is composed of two parts : the modeling of the potential field generated by the electrodes inside a conductive medium representing the nerve on the one hand; and the determination of the interaction between this field of potentials and neurons on the other. Our first contribution is an original method of modeling and optimization of the spatial selectivity with a Cuff electrode, without prior knowledge of the nerve topography. Based on this observation, we determined new criteria, efficiency and robustness, complementary to selectivity, allowing us to choose between multipolar configurations. Thus, according to the weighting applied to these criteria, we developed an optimization algorithm to determine the optimal configuration as a function of the target zone, fiber diameter and the stimulation duration for a typical rectangular pulse. Experiments on animal model allowed us to evaluate the effectiveness and genericness of the method. This work was performed as part of a larger project on vagus nerve stimulation (INTENSE project) in which one of the applications focused on the treatment of cardiac disorders. The main objective was to selectively activate a specific population of nerve fibers to improve therapy and decrease side effects. In a second contribution, numerical simulations were used to investigate the combination of multipolar configurations and the prepulses technique, in order to obtain fiber recruitment in a spatially reverse order. The main objective was to achieve both spatial and fiber diameter selectivity. Expected clinical perspectives of this work are the reduction of fatigue related to a prolonged use of stimulation and the reduction of side effects. Within the framework of the INTENSE project, the second application investigated vagus nerve stimulation as a therapy for morbid obesity. Activation of target axons related to gastric functions requires a significant amount of charge injection. Several studies suggest that non-rectangular waveforms can activate axons of the peripheral nervous system with a reduced amount of charge compared to the reference rectangular pulse shape. Our last contribution focuses on the experimental study and the modeling of these complex waveforms. The modeling approach, if performed properly and while bearing in mind its limits, provides a relevant and even indispensable analysis tool for the clinical adjustment of neuroprostheses.
125

Reversible Nerve Conduction Block Using Low Frequency Alternating Currents

Maria I. Muzquiz (9178664), Ivette M Muzquiz (9178658) 05 August 2020 (has links)
This thesis describes a novel method to reversibly and safely block nerve conduction using a low frequency alternating current (LFAC) waveform at 1 Hz applied through a bipolar extrafascicular electrode. This work follows up on observations made on excised mammalian peripheral nerves and earthworm nerve cords. An<i> in-situ</i> electrophysiology setup was used to assess the LFAC<br>waveform on propagating action potentials (APs) within the cervical vagus nerve in anaesthetized Sprague-Dawley rats (n = 12). Two sets of bipolar cuff or hook electrodes were applied unilaterally to the cervical vagus nerve, which was crushed rostral to the electrodes to exclude reflex effects<br>on the animal. Pulse stimulation was applied to the rostral electrode, while the LFAC conditioning waveform was applied to the caudal electrode. The efferent volley, if unblocked, elicits acute bradycardia and hypotension. The degree of block of the vagal stimulation induced bradycardia<br>was used as a biomarker. Block was assessed by the ability to reduce the bradycardic drive by monitoring the heart rate (HR) and blood pressure (BP) during LFAC alone, LFAC with vagal stimulation, and vagal stimulation alone. LFAC applied via a hook electrode (n = 7) achieved 86.6 +/- 11% block at current levels 95 +/- 38 uAp (current to peak). When applied via a cuff electrode (n = 5) 85.3 +/- 4.60% block was achieved using current levels of 110 +/- 65 uAp. Furthermore, LFAC was explored on larger vagal afferent fibers in larger human sized nerve bundles projecting to effects mediated by a reflex. The effectiveness of LFAC was assessed in an <i>in-situ</i> electrophysiological setup on the left cervical vagus in anaesthetized domestic swine (n = 5). Two bipolar cuff electrodes were applied unilaterally to the cervical vagus nerve, which was crushed caudal to the electrodes to eliminate cardiac effects. A tripolar extrafascicular cuff electrode was placed most rostral on the nerve for recording of propagating APs induced by<br>electrical stimulation and blocked via the LFAC waveform.<br>Standard pulse stimulation was applied to the left cervical vagus to induce the Hering-Breuer reflex. If unblocked, the activation of the Hering-Breuer reflex would cause breathing to slow down and potentially cease. Block was quantified by the ability to reduce the effect of the Hering-Breuer<br>reflex by monitoring the breathing rate during LFAC alone, LFAC and vagal stimulation, and vagal stimulation alone. LFAC achieved 87.2 +/- 8.8% (n = 5) block at current levels of 0.8 +/- 0.3 mAp. Compound nerve action potentials (CNAP) were monitored directly. They show changes<br>in nerve activity during LFAC, which manifests itself as the slowing and amplitude reduction of components of the CNAPs. Since the waveform is balanced, all forward reactions are reversed, leading to a blocking method that is similar in nature to DC block without the potential issues of<br>toxic byproduct production. These results suggest that LFAC can achieve a high degree of nerve block in both small and large nerve bundles, resulting in the change in behavior of a biomarker, <i>in-vivo </i>in the mammalian nervous system at low amplitudes of electrical stimulation that are within the water window of the electrode.<br>
126

Glucose Sensing and Differentiating Systems with Organic Electrochemical Neurons : A Future Outlook for Type 2 Diabetes / Detektion och urskiljning av glukoshalter med organiska elektrokemiska neuroner

Ziske, Sophie January 2024 (has links)
In recent years great advances in the field of biomedical engineering and organic electronics have been achieved. One promising application would be the regulation of blood glucose concentration in type 2 diabetes patients. This application would eliminate medication and would improve the standard of life. To achieve this goal a system is needed which receives information about the glucose concentration and reacts upon it. This output reaction could then be used to stimulate the body's own glucose regulation mechanisms. This thesis combined a glucose sensor with an artificial neuron to take the first step towards such a system. Two different artificial neurons, the Axon-Hillock neuron and the astable multivibrator, were characterized and examined upon their usability. The Axon-Hillock, build with organic electrochemical transistors, revealed that it could be applied for both regulating high and low blood glucose concentrations. The astable multivibrator, build with silicon-based transistors, was not as functional as the Axon-Hillock neuron but with more development it could become as good. The placement of the glucose sensor in the astable multivibrator circuit is essential parameter to consider. The results demonstrate that the examined system is functional and could become a part of a larger closed-loop system. Future tests on an animal model may demonstrate its viability as a treatment for type 2 diabetes.

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