Memorias de investigación
Artículos en revistas:
A computational model coupling mechanics and electrophysiology in spinal cord injury
Año:2014

Áreas de investigación
  • Ingenierías

Datos
Descripción
Traumatic brain injury and spinal cord injury have recently been put under the spotlight as major causes of death and disability in the developed world. Despite the important ongoing experimental and modeling campaigns aimed at understanding the mechanics of tissue and cell damage typically observed in such events, the differentiated roles of strain, stress and their corresponding loading rates on the damage level itself remain unclear. More specifically, the direct relations between brain and spinal cord tissue or cell damage, and electrophysiological functions are still to be unraveled. Whereas mechanical modeling efforts are focusing mainly on stress distribution and mechanistic-based damage criteria, simulated function-based damage criteria are still missing. Here, we propose a new multiscale model of myelinated axon associating electrophysiological impairment to structural damage as a function of strain and strain rate. This multiscale approach provides a new framework for damage evaluation directly relating neuron mechanics and electrophysiological properties, thus providing a link between mechanical trauma and subsequent functional deficits
Internacional
Si
JCR del ISI
Si
Título de la revista
Biomechanics And Modeling in Mechanobiology
ISSN
1617-7959
Factor de impacto JCR
3,251
Información de impacto
Datos JCR del año 2013
Volumen
13
DOI
10.1007/s10237-013-0543-7
Número de revista
4
Desde la página
883
Hasta la página
896
Mes
AGOSTO
Ranking
Q1

Esta actividad pertenece a memorias de investigación

Participantes
  • Autor: Antoine Jérusalem University of Oxford
  • Autor: Julian Andres Garcia Grajales UPM
  • Autor: Angel Merchán-Pérez Universidad Politécnica de Madrid
  • Autor: Jose Maria Peña Sanchez UPM

Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Minería de Datos y Simulación (MIDAS)
  • Departamento: Arquitectura y Tecnología de Sistemas Informáticos