Branching morphology determines signal propagation dynamics in neurons

Abstract Computational modeling of signal propagation in neurons is critical to our understanding of basic principles underlying brain organization and activity. Exploring these models is used to address basic neuroscience questions as well as to gain insights for clinical applications. The seminal...

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Autores principales:	Netanel Ofer, Orit Shefi, Gur Yaari
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2017
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/d4bd52be9556437c912276ac3dfa88ea
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spelling	oai:doaj.org-article:d4bd52be9556437c912276ac3dfa88ea2021-12-02T11:41:20ZBranching morphology determines signal propagation dynamics in neurons10.1038/s41598-017-09184-32045-2322https://doaj.org/article/d4bd52be9556437c912276ac3dfa88ea2017-08-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-09184-3https://doaj.org/toc/2045-2322Abstract Computational modeling of signal propagation in neurons is critical to our understanding of basic principles underlying brain organization and activity. Exploring these models is used to address basic neuroscience questions as well as to gain insights for clinical applications. The seminal Hodgkin Huxley model is a common theoretical framework to study brain activity. It was mainly used to investigate the electrochemical and physical properties of neurons. The influence of neuronal structure on activity patterns was explored, however, the rich dynamics observed in neurons with different morphologies is not yet fully understood. Here, we study signal propagation in fundamental building blocks of neuronal branching trees, unbranched and branched axons. We show how these simple axonal elements can code information on spike trains, and how asymmetric responses can emerge in axonal branching points. This asymmetric phenomenon has been observed experimentally but until now lacked theoretical characterization. Together, our results suggest that axonal morphological parameters are instrumental in activity modulation and information coding. The insights gained from this work lay the ground for better understanding the interplay between function and form in real-world complex systems. It may also supply theoretical basis for the development of novel therapeutic approaches to damaged nervous systems.Netanel OferOrit ShefiGur YaariNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-9 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Netanel Ofer Orit Shefi Gur Yaari Branching morphology determines signal propagation dynamics in neurons
description	Abstract Computational modeling of signal propagation in neurons is critical to our understanding of basic principles underlying brain organization and activity. Exploring these models is used to address basic neuroscience questions as well as to gain insights for clinical applications. The seminal Hodgkin Huxley model is a common theoretical framework to study brain activity. It was mainly used to investigate the electrochemical and physical properties of neurons. The influence of neuronal structure on activity patterns was explored, however, the rich dynamics observed in neurons with different morphologies is not yet fully understood. Here, we study signal propagation in fundamental building blocks of neuronal branching trees, unbranched and branched axons. We show how these simple axonal elements can code information on spike trains, and how asymmetric responses can emerge in axonal branching points. This asymmetric phenomenon has been observed experimentally but until now lacked theoretical characterization. Together, our results suggest that axonal morphological parameters are instrumental in activity modulation and information coding. The insights gained from this work lay the ground for better understanding the interplay between function and form in real-world complex systems. It may also supply theoretical basis for the development of novel therapeutic approaches to damaged nervous systems.
format	article
author	Netanel Ofer Orit Shefi Gur Yaari
author_facet	Netanel Ofer Orit Shefi Gur Yaari
author_sort	Netanel Ofer
title	Branching morphology determines signal propagation dynamics in neurons
title_short	Branching morphology determines signal propagation dynamics in neurons
title_full	Branching morphology determines signal propagation dynamics in neurons
title_fullStr	Branching morphology determines signal propagation dynamics in neurons
title_full_unstemmed	Branching morphology determines signal propagation dynamics in neurons
title_sort	branching morphology determines signal propagation dynamics in neurons
publisher	Nature Portfolio
publishDate	2017
url	https://doaj.org/article/d4bd52be9556437c912276ac3dfa88ea
work_keys_str_mv	AT netanelofer branchingmorphologydeterminessignalpropagationdynamicsinneurons AT oritshefi branchingmorphologydeterminessignalpropagationdynamicsinneurons AT guryaari branchingmorphologydeterminessignalpropagationdynamicsinneurons
_version_	1718395429373083648

Branching morphology determines signal propagation dynamics in neurons

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