A free boundary model for transport-induced neurite growth

  • We introduce a free boundary model to study the effect of vesicle transport onto neurite growth. It consists of systems of drift-diffusion equations describing the evolution of the density of antero- and retrograde vesicles in each neurite coupled to reservoirs located at the soma and the growth cones of the neurites, respectively. The model allows for a change of neurite length as a function of the vesicle concentration in the growth cones. After establishing existence and uniqueness for the time-dependent problem, we briefly comment on possible types of stationary solutions. Finally, we provide numerical studies on biologically relevant scales using a finite volume scheme. We illustrate the capability of the model to reproduce cycles of extension and retraction.

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Metadaten
Author:Greta MarinoGND, Jan-Frederik PietschmannORCiDGND, Max Winkler
Frontdoor URLhttps://opus.bibliothek.uni-augsburg.de/opus4/117094
ISSN:0956-7925OPAC
ISSN:1469-4425OPAC
Parent Title (English):European Journal of Applied Mathematics
Publisher:Cambridge University Press (CUP)
Place of publication:Cambridge
Type:Article
Language:English
Year of first Publication:2024
Publishing Institution:Universität Augsburg
Release Date:2024/11/27
First Page:1
Last Page:27
DOI:https://doi.org/10.1017/s0956792524000718
Institutes:Mathematisch-Naturwissenschaftlich-Technische Fakultät
Fakultätsübergreifende Institute und Einrichtungen
Mathematisch-Naturwissenschaftlich-Technische Fakultät / Institut für Mathematik
Fakultätsübergreifende Institute und Einrichtungen / Zentrum für Advanced Analytics and Predictive Sciences (CAAPS)
Mathematisch-Naturwissenschaftlich-Technische Fakultät / Institut für Mathematik / Lehrstuhl für Inverse Probleme
Dewey Decimal Classification:5 Naturwissenschaften und Mathematik / 51 Mathematik / 510 Mathematik
Latest Publications (not yet published in print):Aktuelle Publikationen (noch nicht gedruckt erschienen)
Licence (German):CC-BY 4.0: Creative Commons: Namensnennung (mit Print on Demand)