Bifurcation analysis of motoneuronal excitability mechanisms under normal and ALS conditions.
ALS
XPPAUT
bifurcation
excitability
modeling
motoneuron
Journal
Frontiers in cellular neuroscience
ISSN: 1662-5102
Titre abrégé: Front Cell Neurosci
Pays: Switzerland
ID NLM: 101477935
Informations de publication
Date de publication:
2023
2023
Historique:
received:
11
11
2022
accepted:
25
01
2023
entrez:
6
3
2023
pubmed:
7
3
2023
medline:
7
3
2023
Statut:
epublish
Résumé
Bifurcation analysis allows the examination of steady-state, non-linear dynamics of neurons and their effects on cell firing, yet its usage in neuroscience is limited to single-compartment models of highly reduced states. This is primarily due to the difficulty in developing high-fidelity neuronal models with 3D anatomy and multiple ion channels in XPPAUT, the primary bifurcation analysis software in neuroscience. To facilitate bifurcation analysis of high-fidelity neuronal models under normal and disease conditions, we developed a multi-compartment model of a spinal motoneuron (MN) in XPPAUT and verified its firing accuracy against its original experimental data and against an anatomically detailed cell model that incorporates known MN non-linear firing mechanisms. We used the new model in XPPAUT to study the effects of somatic and dendritic ion channels on the MN bifurcation diagram under normal conditions and after amyotrophic lateral sclerosis (ALS) cellular changes. Our results show that somatic small-conductance Ca Together, the new multi-compartment model developed in XPPAUT facilitates studying neuronal excitability in health and disease using bifurcation analysis.
Identifiants
pubmed: 36874210
doi: 10.3389/fncel.2023.1093199
pmc: PMC9978418
doi:
Types de publication
Journal Article
Langues
eng
Pagination
1093199Informations de copyright
Copyright © 2023 Moustafa, Mousa, Saad, Basha and Elbasiouny.
Déclaration de conflit d'intérêts
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Références
J Neurophysiol. 2020 Oct 1;124(4):1285-1307
pubmed: 32937080
J Math Neurosci. 2018 Dec 5;8(1):13
pubmed: 30519798
J Physiol. 1993 Aug;468:245-59
pubmed: 8254508
Physiol Rep. 2014 Aug 07;2(8):
pubmed: 25107988
J Comput Neurosci. 2011 Apr;30(2):301-21
pubmed: 20623167
J Neurophysiol. 1985 May;53(5):1323-44
pubmed: 3839011
J Physiol. 2011 May 1;589(Pt 9):2245-60
pubmed: 21486770
Acta Physiol Scand. 1965 Mar;63:409-10
pubmed: 14324076
J Neurophysiol. 1986 May;55(5):931-46
pubmed: 3711973
J Neurosci. 2009 Apr 22;29(16):5343-53
pubmed: 19386931
J Neurophysiol. 1988 Jul;60(1):60-85
pubmed: 3404225
Prog Neurobiol. 1998 Aug;55(6):595-609
pubmed: 9670220
J Comp Neurol. 2008 Nov 20;511(3):329-41
pubmed: 18803237
J Physiol. 2022 Nov;600(22):4815-4825
pubmed: 36178320
Front Cell Neurosci. 2015 Apr 10;9:139
pubmed: 25914627
J Neurophysiol. 2007 May;97(5):3314-30
pubmed: 17360829
Chaos. 2013 Dec;23(4):046001
pubmed: 24387579
PLoS One. 2017 Jun 7;12(6):e0178244
pubmed: 28591171
J Neurophysiol. 1994 Apr;71(4):1468-79
pubmed: 8035228
J Neurophysiol. 1994 Apr;71(4):1480-90
pubmed: 8035229
J Comp Neurol. 1987 Jan 1;255(1):82-96
pubmed: 3819011
J Neurophysiol. 1999 Nov;82(5):2518-27
pubmed: 10561423
Biophys J. 1995 Oct;69(4):1203-17
pubmed: 8534792
J Neurosci. 2005 Sep 28;25(39):8917-23
pubmed: 16192382
Neuroscience. 2012 May 3;209:144-54
pubmed: 22387111
Exp Neurol. 2005 Mar;192(1):100-8
pubmed: 15698623
Ann N Y Acad Sci. 1979;316:214-35
pubmed: 288317
J Physiol. 2018 May 1;596(9):1723-1745
pubmed: 29502344
Neural Comput. 1997 Aug 15;9(6):1179-209
pubmed: 9248061
J Physiol. 1952 Aug;117(4):500-44
pubmed: 12991237
J Appl Physiol (1985). 2014 Dec 1;117(11):1243-61
pubmed: 25277743