تقرير
Neurological disorders leading to mechanical dysfunction of the esophagus: an emergent behavior of a neuromechanical dynamical system
| العنوان: | Neurological disorders leading to mechanical dysfunction of the esophagus: an emergent behavior of a neuromechanical dynamical system |
|---|---|
| المؤلفون: | Elisha, Guy, Halder, Sourav, Liu, Xinyi, Carlson, Dustin A., Kahrilas, Peter J., Pandolfino, John E., Patankar, Neelesh A. |
| سنة النشر: | 2024 |
| المجموعة: | Physics (Other) Quantitative Biology |
| مصطلحات موضوعية: | Quantitative Biology - Neurons and Cognition, Physics - Biological Physics |
| الوصف: | 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. |
| نوع الوثيقة: | Working Paper |
| URL الوصول: | http://arxiv.org/abs/2402.18103 |
| رقم الأكسشن: | edsarx.2402.18103 |
| قاعدة البيانات: | arXiv |
| الوصف غير متاح. |