4,069 research outputs found

    Neurological disorders leading to mechanical dysfunction of the esophagus: an emergent behavior of a neuromechanical dynamical system

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    An understanding how neurological disorders lead to mechanical dysfunction of the esophagus requires knowledge of the neural circuit of the enteric nervous system. Historically, this has been elusive. Here, we present an empirically guided neural circuit for the esophagus. It has a chain of unidirectionally coupled relaxation oscillators, receiving excitatory signals from stretch receptors along the esophagus. The resulting neuromechanical model reveals complex patterns and behaviors that emerge from interacting components in the system. A wide variety of clinically observed normal and abnormal esophageal responses to distension are successfully predicted. Specifically, repetitive antegrade contractions (RACs) are conclusively shown to emerge from the coupled neuromechanical dynamics in response to sustained volumetric distension. Normal RACs are shown to have a robust balance between excitatory and inhibitory neuronal populations, and the mechanical input through stretch receptors. When this balance is affected, contraction patterns akin to motility disorders are observed. For example, clinically observed repetitive retrograde contractions emerge due to a hyper stretch sensitive wall. Such neuromechanical insights could be crucial to eventually develop targeted pharmacological interventions

    A computational biomechanics study of the Chiari-Syringomyelia complex - Mechanics of Spinal Cord

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    The pathogenesis of syringomyelia in association with Chiari malformation (CM) is unclear. The mechanical properties of solid tissues and cerebrospinal fluid flow have been shown to contribute to the development of syrinx. This thesis aims to study the biomechanical behavior of the spinal cord in the aforementioned diseased condition. A 2D axisymmetric poroelastic model of the spinal cord in the presence of syringomyelia was developed to understand the flow dynamics in porous solids. An arterial pressure pulse of 500 Pa was applied at the cranial end of the subarachnoid space. Transient excitation gave rise to wave propagation in the fluid-filled subarachnoid space. The main effect of the excitation was compression and swelling of spinal cord tissue at the syrinx level at different pressure conditions. The velocities of fluid entering and leaving the syrinx were relatively low i.e., in the range of 10-5 m/s such that the porous spinal cord absorbing the fluid. Stresses induced in pia mater were larger at the level of syrinx as compared to the rest of the model geometry. Although poroelasticity gives a major insight into the material interaction with fluid in a porous media, it lacks the complexities involved in free flow equations which are more realistic to determine the behavior of biological tissue. An extension to the existing model with the fluid-structure interaction module was built to study the effect of the free-flow zone connected to the poroelastic media.The pathogenesis of syringomyelia in association with Chiari malformation (CM) is unclear. The mechanical properties of solid tissues and cerebrospinal fluid flow have been shown to contribute to the development of syrinx. This thesis aims to study the biomechanical behavior of the spinal cord in the aforementioned diseased condition. A 2D axisymmetric poroelastic model of the spinal cord in the presence of syringomyelia was developed to understand the flow dynamics in porous solids. An arterial pressure pulse of 500 Pa was applied at the cranial end of the subarachnoid space. Transient excitation gave rise to wave propagation in the fluid-filled subarachnoid space. The main effect of the excitation was compression and swelling of spinal cord tissue at the syrinx level at different pressure conditions. The velocities of fluid entering and leaving the syrinx were relatively low i.e., in the range of 10-5 m/s such that the porous spinal cord absorbing the fluid. Stresses induced in pia mater were larger at the level of syrinx as compared to the rest of the model geometry. Although poroelasticity gives a major insight into the material interaction with fluid in a porous media, it lacks the complexities involved in free flow equations which are more realistic to determine the behavior of biological tissue. An extension to the existing model with the fluid-structure interaction module was built to study the effect of the free-flow zone connected to the poroelastic media

    Acetylcholine neuromodulation in normal and abnormal learning and memory: vigilance control in waking, sleep, autism, amnesia, and Alzheimer's disease

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    This article provides a unified mechanistic neural explanation of how learning, recognition, and cognition break down during Alzheimer's disease, medial temporal amnesia, and autism. It also clarifies whey there are often sleep disturbances during these disorders. A key mechanism is how acetylcholine modules vigilance control in cortical layer

    Retinal Wave Behavior through Activity- Dependent Refractory Periods

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    In the developing mammalian visual system, spontaneous retinal ganglion cell (RGC) activity contributes to and drives several aspects of visual system organization. This spontaneous activity takes the form of spreading patches of synchronized bursting that slowly advance across portions of the retina. These patches are non-repeating and tile the retina in minutes. Several transmitter systems are known to be involved, but the basic mechanism underlying wave production is still not well-understood. We present a model for retinal waves that focuses on acetylcholine mediated waves but whose principles are adaptable to other developmental stages. Its assumptions are that a) spontaneous depolarizations of amacrine cells drive wave activity; b) amacrine cells are locally connected, and c) cells receiving more input during their depolarization are subsequently less responsive and have longer periods between spontaneous depolarizations. The resulting model produces waves with non-repeating borders and randomly distributed initiation points. The wave generation mechanism appears to be chaotic and does not require neural noise to produce this wave behavior. Variations in parameter settings allow the model to produce waves that are similar in size, frequency, and velocity to those observed in several species. Our results suggest that retinal wave behavior results from activity-dependent refractory periods and that the average velocity of retinal waves depends on the duration a cell is excitatory: longer periods of excitation result in slower waves. In contrast to previous studies, we find that a single layer of cells is sufficient for wave generation. The principles described here are very general and may be adaptable to the description of spontaneous wave activity in other areas of the nervous system

    Modélisation d'arythmies auriculaires modulées par le système nerveux autonome

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    La fibrillation auriculaire (FA) est la forme d’arythmie la plus fréquente et représente environ un tiers des hospitalisations attribuables aux troubles du rythme cardiaque. Les mécanismes d’initiation et de maintenance de la FA sont complexes et multiples. Parmi ceux-ci, une contribution du système nerveux autonome a été identifiée mais son rôle exact demeure mal compris. Ce travail cible l’étude de la modulation induite par l’acétylcholine (ACh) sur l’initiation et le maintien de la FA, en utilisant un modèle de tissu bidimensionnel. La propagation de l’influx électrique sur ce tissu est décrite par une équation réaction-diffusion non-linéaire résolue sur un maillage rectangulaire avec une méthode de différences finies, et la cinétique d'ACh suit une évolution temporelle prédéfinie qui correspond à l’activation du système parasympathique. Plus de 4400 simulations ont été réalisées sur la base de 4 épisodes d’arythmies, 5 tailles différentes de région modulée par l’ACh, 10 concentrations d’ACh et 22 constantes de temps de libération et de dégradation d’ACh. La complexité de la dynamique des réentrées est décrite en fonction de la constante de temps qui représente le taux de variation d’ACh. Les résultats obtenus suggèrent que la stimulation vagale peut mener soit à une dynamique plus complexe des réentrées soit à l’arrêt de la FA en fonction des quatre paramètres étudiés. Ils démontrent qu’une décharge vagale rapide, représentée par des constantes de temps faibles combinées à une quantité suffisamment grande d’ACh, a une forte probabilité de briser la réentrée primaire provoquant une activité fibrillatoire. Cette activité est caractérisée par la création de plusieurs ondelettes à partir d’un rotor primaire sous l’effet de l’hétérogénéité du gradient de repolarisation causé par l’activité autonomique.Atrial fibrillation (AF) is the most frequent arrhythmia and accounts for about one-third of hospitalizations for cardiac rhythm disturbances. The mechanisms of initiation and maintenance of atrial fibrillation are complex and multifaceted. Among them, a contribution of the autonomic nervous system has been identified but its exact role remains poorly understood. This work targets the study of the effect of autonomic modulation induced by acetylcholine (ACh) on the initiation and maintenance of AF, using a two-dimensional tissue model. Electrical impulse propagation in the tissue was described by as a non-linear reaction-diffusion equation solved on a rectangular mesh with finite difference methods, and ACh kinetics followed a predefined time evolution corresponding to parasympathetic activation. More than 4400 simulations were performed based on 4 fibrillatory initial conditions, 5 sizes of ACh patch, 10 ACh concentrations and 22 time constants representing ACh release and degradation speed. Our results suggest that vagal stimulation can sustain or terminate AF depending on the 4 parameters studied. Results demonstrate that rapid vagal discharge, represented by low time constants combined with sufficient quantities of ACh, has a high probability of breaking the primary reentry and causing fibrillatory activity. This activity is characterized by the generation of several wavelets from a primary rotor under the heterogeneity of repolarization gradient due to autonomic modulation

    Fractals in the Nervous System: conceptual Implications for Theoretical Neuroscience

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    This essay is presented with two principal objectives in mind: first, to document the prevalence of fractals at all levels of the nervous system, giving credence to the notion of their functional relevance; and second, to draw attention to the as yet still unresolved issues of the detailed relationships among power law scaling, self-similarity, and self-organized criticality. As regards criticality, I will document that it has become a pivotal reference point in Neurodynamics. Furthermore, I will emphasize the not yet fully appreciated significance of allometric control processes. For dynamic fractals, I will assemble reasons for attributing to them the capacity to adapt task execution to contextual changes across a range of scales. The final Section consists of general reflections on the implications of the reviewed data, and identifies what appear to be issues of fundamental importance for future research in the rapidly evolving topic of this review
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