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Related Concept Videos

Enteric Nervous System: Regulation of GI Motor Activity01:11

Enteric Nervous System: Regulation of GI Motor Activity

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The Enteric Nervous System (ENS) plays a pivotal role in regulating gastrointestinal or GI motor activity. This complex network of nerves, deeply embedded within the gut wall, responds to changes in the gut environment and receives input from both the autonomic nervous system and the central nervous system. By doing so, the ENS operates various programs tailored to the body's nutritional status and needs.
During periods of fasting, the ENS initiates the migrating myoelectric complex, a...
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Nerve Supply of the GI Tract01:27

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The neuronal supply to the gastrointestinal (GI) tract is essential for regulating various functions, including digestion, absorption, and movement of food. This intricate network of nerves is known as the enteric nervous system (ENS), often referred to as the "second brain" of the body.
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Gastric Motility01:16

Gastric Motility

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Gastric motility is the coordinated contraction and relaxation of stomach muscles that convert ingested food into chyme, a semi-liquid substance ready for further digestion in the intestines. The process begins with the vagus nerve inducing the relaxation of the smooth muscles in the fundus and body of the stomach, allowing these regions to expand and accommodate up to approximately 1.5 liters of food and liquid.
Peristaltic Waves and Chyme Formation
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Neural Regulation01:37

Neural Regulation

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Digestion begins with a cephalic phase that prepares the digestive system to receive food. When our brain processes visual or olfactory information about food, it triggers impulses in the cranial nerves innervating the salivary glands and stomach to prepare for food.
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Related Experiment Video

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Video Imaging and Spatiotemporal Maps to Analyze Gastrointestinal Motility in Mice
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Mathematical modelling of enteric neural motor patterns.

Jordan D Chambers1, Evan A Thomas, Joel C Bornstein

  • 1Department of Physiology, University of Melbourne, Victoria, Australia.

Clinical and Experimental Pharmacology & Physiology
|January 30, 2014
PubMed
Summary

Mathematical models reveal how the enteric nervous system generates complex intestinal behaviors. Studies show slow excitatory postsynaptic potentials and network interactions are key to motor patterns and secretion control.

Keywords:
computational modellingenteric nervous systemintestinal motilitymigrating motor complexessecretomotor control

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Area of Science:

  • Neuroscience
  • Computational Biology
  • Gastroenterology

Background:

  • The enteric nervous system (ENS) controls intestinal functions like motility and secretion.
  • Understanding complex ENS behaviors requires integrating knowledge of neurons and reflexes.
  • Mathematical modeling offers a powerful approach to dissecting ENS circuitry and function.

Purpose of the Study:

  • To elucidate the mechanisms underlying complex intestinal behaviors generated by the ENS.
  • To utilize mathematical modeling to explore neural network dynamics within the intestine.
  • To investigate the roles of specific neuronal signaling and network architectures in generating physiological and pathological intestinal patterns.

Main Methods:

  • Development and analysis of computational models of ENS neural networks.
  • Distinguishing between fast and slow excitatory postsynaptic potentials (EPSPs) in reflex pathways.
  • Modeling recurrent and feed-forward neural networks of intrinsic sensory neurons and interneurons.
  • Simulating network activity under physiological and pathological conditions, such as cholera toxin exposure.

Main Results:

  • Models identified the critical role of slow EPSPs in the ascending excitation reflex.
  • Coordinated neuronal firing patterns emerged from feed-forward interneuron networks.
  • Control mechanisms preventing runaway firing and their interaction with slow EPSPs were elucidated.
  • Models suggested networks may mediate migrating motor complexes and explained stationary contractions from polarized networks.
  • A model of vasoactive intestinal peptide neurons predicted uncontrolled firing related to hypersecretory states.

Conclusions:

  • Mathematical models are essential for understanding complex ENS functions.
  • Network properties, including slow EPSPs and feedback mechanisms, are crucial for encoding stimuli and generating motor patterns.
  • Modeling provides insights into ENS control mechanisms and their dysregulation in diseases like cholera.