Enteric nervous system and developmental abnormalities in childhood
Child; Humans; Animals; Gastrointestinal Motility/physiology; Neurons/physiology; Chromosome Aberrations; Ganglion Cysts/embryology; Gastrointestinal Tract/innervation; Glial Cell Line-Derived Neurotrophic Factors/physiology; Hirschsprung Disease/physiopathology; Nervous System Malformations/embryology/physiopathology; Neural Crest/embryology; Neurotransmitter Agents/physiology
ENS consists of a complex network of neurons, organised in several plexuses, which interact by means of numerous neurotransmitters. It is capable of modulating the intestinal motility, exocrine and endocrine secretions, microcirculation and immune and inflammatory responses within the gastrointestinal tract, independent of the central nervous system. Though the embryological development of various plexuses are completed by mid-way of gestation, the maturation of neurons and nerve plexuses appear to continue well after birth. Therefore, any histological or functional abnormalities related to the gastrointestinal function must be investigated with the ongoing maturational processes in mind.
2006
Paran TS; Rolle U; Puri P
Pediatric Surgery International
2006
Article information provided for research and reference use only. PedPalASCNET does not hold any rights over the resource listed here. All rights are retained by the journal listed under publisher and/or the creator(s).
Journal Article
<a href="http://doi.org/10.1007/s00383-006-1782-9" target="_blank" rel="noreferrer">10.1007/s00383-006-1782-9</a>
On the mathematical modelling of pain
Humans; Analgesia; Reproducibility of Results; Animals; Models; Pain/physiopathology; Axons/physiology; Nerve Net/physiology; Neurological; Neuronal Plasticity; Neurons/physiology; Theoretical
In this review a case is presented for the use of mathematical modelling in the study of pain. The philosophy of mathematical modelling is outlined and a recommendation is made for the use of modern nonlinear techniques and computational neuroscience in the modelling of pain. Classic and more recent examples of modelling in neurobiology in general and pain in particular, at three different levels-molecular, cellular and neural networks-are described and evaluated. Directions for further progress are indicated, particularly in plasticity and in modelling brain mechanisms. Major advantages of mathematical modelling are that it can handle extremely complex theories and it is non-invasive, and so is particularly valuable in the investigation of chronic pain.
1996
Britton NF; Skevington SM
Neurochemical Research
1996
Article information provided for research and reference use only. PedPalASCNET does not hold any rights over the resource listed here. All rights are retained by the journal listed under publisher and/or the creator(s).
Journal Article
<a href="http://doi.org/10.1007/bf02532424" target="_blank" rel="noreferrer">10.1007/bf02532424</a>