Literature DB >> 25277743

Development of modified cable models to simulate accurate neuronal active behaviors.

Sherif M Elbasiouny1.   

Abstract

In large network and single three-dimensional (3-D) neuron simulations, high computing speed dictates using reduced cable models to simulate neuronal firing behaviors. However, these models are unwarranted under active conditions and lack accurate representation of dendritic active conductances that greatly shape neuronal firing. Here, realistic 3-D (R3D) models (which contain full anatomical details of dendrites) of spinal motoneurons were systematically compared with their reduced single unbranched cable (SUC, which reduces the dendrites to a single electrically equivalent cable) counterpart under passive and active conditions. The SUC models matched the R3D model's passive properties but failed to match key active properties, especially active behaviors originating from dendrites. For instance, persistent inward currents (PIC) hysteresis, frequency-current (FI) relationship secondary range slope, firing hysteresis, plateau potential partial deactivation, staircase currents, synaptic current transfer ratio, and regional FI relationships were not accurately reproduced by the SUC models. The dendritic morphology oversimplification and lack of dendritic active conductances spatial segregation in the SUC models caused significant underestimation of those behaviors. Next, SUC models were modified by adding key branching features in an attempt to restore their active behaviors. The addition of primary dendritic branching only partially restored some active behaviors, whereas the addition of secondary dendritic branching restored most behaviors. Importantly, the proposed modified models successfully replicated the active properties without sacrificing model simplicity, making them attractive candidates for running R3D single neuron and network simulations with accurate firing behaviors. The present results indicate that using reduced models to examine PIC behaviors in spinal motoneurons is unwarranted.
Copyright © 2014 the American Physiological Society.

Entities:  

Keywords:  active dendrites; computer simulations; motoneuron models

Mesh:

Year:  2014        PMID: 25277743      PMCID: PMC4747910          DOI: 10.1152/japplphysiol.00496.2014

Source DB:  PubMed          Journal:  J Appl Physiol (1985)        ISSN: 0161-7567


  43 in total

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Authors:  W RALL
Journal:  Exp Neurol       Date:  1959-11       Impact factor: 5.330

2.  Computational estimation of the distribution of L-type Ca(2+) channels in motoneurons based on variable threshold of activation of persistent inward currents.

Authors:  Tuan V Bui; Maria Ter-Mikaelian; Diane Bedrossian; P Ken Rose
Journal:  J Neurophysiol       Date:  2005-11-02       Impact factor: 2.714

3.  Distribution of contacts from vestibulospinal axons on the dendrites of splenius motoneurons.

Authors:  Giovanbattista Grande; Stacey Armstrong; Monica Neuber-Hess; P K Rose
Journal:  J Comp Neurol       Date:  2005-10-31       Impact factor: 3.215

4.  Simulation of Ca2+ persistent inward currents in spinal motoneurones: mode of activation and integration of synaptic inputs.

Authors:  Sherif M Elbasiouny; David J Bennett; Vivian K Mushahwar
Journal:  J Physiol       Date:  2005-11-24       Impact factor: 5.182

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Journal:  J Comp Neurol       Date:  1987-01-01       Impact factor: 3.215

6.  Electrotonic architecture of type-identified alpha-motoneurons in the cat spinal cord.

Authors:  J W Fleshman; I Segev; R B Burke
Journal:  J Neurophysiol       Date:  1988-07       Impact factor: 2.714

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Authors:  J D Clements; S J Redman
Journal:  J Physiol       Date:  1989-02       Impact factor: 5.182

8.  Simulation of dendritic CaV1.3 channels in cat lumbar motoneurons: spatial distribution.

Authors:  Sherif M Elbasiouny; David J Bennett; Vivian K Mushahwar
Journal:  J Neurophysiol       Date:  2005-08-24       Impact factor: 2.714

9.  Bistability of alpha-motoneurones in the decerebrate cat and in the acute spinal cat after intravenous 5-hydroxytryptophan.

Authors:  J Hounsgaard; H Hultborn; B Jespersen; O Kiehn
Journal:  J Physiol       Date:  1988-11       Impact factor: 5.182

10.  The retrograde frequency response of passive dendritic trees constrains the nonlinear firing behaviour of a reduced neuron model.

Authors:  Hojeong Kim; Kelvin E Jones
Journal:  PLoS One       Date:  2012-08-20       Impact factor: 3.240

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  8 in total

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Authors:  John M Allen; Sherif M Elbasiouny
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2.  Contribution of intrinsic motoneuron properties to discharge hysteresis and its estimation based on paired motor unit recordings: a simulation study.

Authors:  Randall K Powers; C J Heckman
Journal:  J Neurophysiol       Date:  2015-04-22       Impact factor: 2.714

3.  The transformation of synaptic to system plasticity in motor output from the sacral cord of the adult mouse.

Authors:  Mingchen C Jiang; Sherif M Elbasiouny; William F Collins; C J Heckman
Journal:  J Neurophysiol       Date:  2015-07-22       Impact factor: 2.714

4.  Synaptic control of the shape of the motoneuron pool input-output function.

Authors:  Randall K Powers; Charles J Heckman
Journal:  J Neurophysiol       Date:  2017-01-04       Impact factor: 2.714

5.  Foundational dendritic processing that is independent of the cell type-specific structure in model primary neurons.

Authors:  Hojeong Kim; C J Heckman
Journal:  Neurosci Lett       Date:  2015-10-14       Impact factor: 3.046

6.  The vulnerability of spinal motoneurons and soma size plasticity in a mouse model of amyotrophic lateral sclerosis.

Authors:  S Shekar Dukkipati; Teresa L Garrett; Sherif M Elbasiouny
Journal:  J Physiol       Date:  2018-03-26       Impact factor: 5.182

7.  Robust and accurate decoding of motoneuron behaviour and prediction of the resulting force output.

Authors:  Christopher K Thompson; Francesco Negro; Michael D Johnson; Matthew R Holmes; Laura Miller McPherson; Randall K Powers; Dario Farina; Charles J Heckman
Journal:  J Physiol       Date:  2018-06-09       Impact factor: 5.182

8.  PyMUS: Python-Based Simulation Software for Virtual Experiments on Motor Unit System.

Authors:  Hojeong Kim; Minjung Kim
Journal:  Front Neuroinform       Date:  2018-04-11       Impact factor: 4.081

  8 in total

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