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Simulation of developing human neuronal cell networks

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Simulation of developing human neuronal cell networks. / Lenk, Kerstin; Priwitzer, Barbara; Ylä-Outinen, Laura; Tietz, Lukas H B; Narkilahti, Susanna; Hyttinen, Jari A.K.

In: BioMedical Engineering Online, Vol. 15, No. 1, 105, 30.08.2016.

Research output: Contribution to journalArticleScientificpeer-review

Harvard

Lenk, K, Priwitzer, B, Ylä-Outinen, L, Tietz, LHB, Narkilahti, S & Hyttinen, JAK 2016, 'Simulation of developing human neuronal cell networks', BioMedical Engineering Online, vol. 15, no. 1, 105. https://doi.org/10.1186/s12938-016-0226-6

APA

Lenk, K., Priwitzer, B., Ylä-Outinen, L., Tietz, L. H. B., Narkilahti, S., & Hyttinen, J. A. K. (2016). Simulation of developing human neuronal cell networks. BioMedical Engineering Online, 15(1), [105]. https://doi.org/10.1186/s12938-016-0226-6

Vancouver

Lenk K, Priwitzer B, Ylä-Outinen L, Tietz LHB, Narkilahti S, Hyttinen JAK. Simulation of developing human neuronal cell networks. BioMedical Engineering Online. 2016 Aug 30;15(1). 105. https://doi.org/10.1186/s12938-016-0226-6

Author

Lenk, Kerstin ; Priwitzer, Barbara ; Ylä-Outinen, Laura ; Tietz, Lukas H B ; Narkilahti, Susanna ; Hyttinen, Jari A.K. / Simulation of developing human neuronal cell networks. In: BioMedical Engineering Online. 2016 ; Vol. 15, No. 1.

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@article{a4474c3111104b37ab9c1c7333be89c6,
title = "Simulation of developing human neuronal cell networks",
abstract = "Background: Microelectrode array (MEA) is a widely used technique to study for example the functional properties of neuronal networks derived from human embryonic stem cells (hESC-NN). With hESC-NN, we can investigate the earliest developmental stages of neuronal network formation in the human brain. Methods: In this paper, we propose an in silico model of maturating hESC-NNs based on a phenomenological model called INEX. We focus on simulations of the development of bursts in hESC-NNs, which are the main feature of neuronal activation patterns. The model was developed with data from developing hESC-NN recordings on MEAs which showed increase in the neuronal activity during the investigated six measurement time points in the experimental and simulated data. Results: Our simulations suggest that the maturation process of hESC-NN, resulting in the formation of bursts, can be explained by the development of synapses. Moreover, spike and burst rate both decreased at the last measurement time point suggesting a pruning of synapses as the weak ones are removed. Conclusions: To conclude, our model reflects the assumption that the interaction between excitatory and inhibitory neurons during the maturation of a neuronal network and the spontaneous emergence of bursts are due to increased connectivity caused by the forming of new synapses.",
keywords = "Development, Human embryonic stem cells, Microelectrode array, Neuronal networks, Simulation",
author = "Kerstin Lenk and Barbara Priwitzer and Laura Yl{\"a}-Outinen and Tietz, {Lukas H B} and Susanna Narkilahti and Hyttinen, {Jari A.K.}",
note = "EXT={"}Yl{\"a}-Outinen, Laura{"}",
year = "2016",
month = "8",
day = "30",
doi = "10.1186/s12938-016-0226-6",
language = "English",
volume = "15",
journal = "BioMedical Engineering Online",
issn = "1475-925X",
publisher = "Springer Verlag",
number = "1",

}

RIS (suitable for import to EndNote) - Download

TY - JOUR

T1 - Simulation of developing human neuronal cell networks

AU - Lenk, Kerstin

AU - Priwitzer, Barbara

AU - Ylä-Outinen, Laura

AU - Tietz, Lukas H B

AU - Narkilahti, Susanna

AU - Hyttinen, Jari A.K.

N1 - EXT="Ylä-Outinen, Laura"

PY - 2016/8/30

Y1 - 2016/8/30

N2 - Background: Microelectrode array (MEA) is a widely used technique to study for example the functional properties of neuronal networks derived from human embryonic stem cells (hESC-NN). With hESC-NN, we can investigate the earliest developmental stages of neuronal network formation in the human brain. Methods: In this paper, we propose an in silico model of maturating hESC-NNs based on a phenomenological model called INEX. We focus on simulations of the development of bursts in hESC-NNs, which are the main feature of neuronal activation patterns. The model was developed with data from developing hESC-NN recordings on MEAs which showed increase in the neuronal activity during the investigated six measurement time points in the experimental and simulated data. Results: Our simulations suggest that the maturation process of hESC-NN, resulting in the formation of bursts, can be explained by the development of synapses. Moreover, spike and burst rate both decreased at the last measurement time point suggesting a pruning of synapses as the weak ones are removed. Conclusions: To conclude, our model reflects the assumption that the interaction between excitatory and inhibitory neurons during the maturation of a neuronal network and the spontaneous emergence of bursts are due to increased connectivity caused by the forming of new synapses.

AB - Background: Microelectrode array (MEA) is a widely used technique to study for example the functional properties of neuronal networks derived from human embryonic stem cells (hESC-NN). With hESC-NN, we can investigate the earliest developmental stages of neuronal network formation in the human brain. Methods: In this paper, we propose an in silico model of maturating hESC-NNs based on a phenomenological model called INEX. We focus on simulations of the development of bursts in hESC-NNs, which are the main feature of neuronal activation patterns. The model was developed with data from developing hESC-NN recordings on MEAs which showed increase in the neuronal activity during the investigated six measurement time points in the experimental and simulated data. Results: Our simulations suggest that the maturation process of hESC-NN, resulting in the formation of bursts, can be explained by the development of synapses. Moreover, spike and burst rate both decreased at the last measurement time point suggesting a pruning of synapses as the weak ones are removed. Conclusions: To conclude, our model reflects the assumption that the interaction between excitatory and inhibitory neurons during the maturation of a neuronal network and the spontaneous emergence of bursts are due to increased connectivity caused by the forming of new synapses.

KW - Development

KW - Human embryonic stem cells

KW - Microelectrode array

KW - Neuronal networks

KW - Simulation

U2 - 10.1186/s12938-016-0226-6

DO - 10.1186/s12938-016-0226-6

M3 - Article

VL - 15

JO - BioMedical Engineering Online

JF - BioMedical Engineering Online

SN - 1475-925X

IS - 1

M1 - 105

ER -