Simulation of matured in vitro human neuronal cell networks
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1
Tampere University of Technology and BioMediTech, Department of Electronics and Communications Engineering, Finland
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2
University of Tampere, BioMediTech, Finland
Current state of the art in vitro neuronal systems apply cultured neuronal networks on multielectrode arrays (MEAs). With MEAs, neuronal cell networks also derived from human pluripotent stem cells (hPSC-NN) can be recorded. In the past, we built a phenomenological model called INEX (INhibitory-EXcitatory) that was used to simulate developing hPSC-NNs on MEAs. In this paper we propose a simulation of maturated hPSC-NNs by modifying our INEX model to simulate activity of matured hPSC-NN. We focus on synchronous bursts which are a main feature of mature neuronal activity patterns. The INEX model is based on an inhomogeneous Poisson process to simulate neurons which are active without external input or stimulus resembling our in-vitro MEA experiments. Each simulated neuron has either an inhibitory or an excitatory effect to its neighbors. The model consists of four parameter types: internal noise, exhibitory and inhibitory synaptic strength and a spike time history which ensures synchronous bursting of the neurons. These parameter types; are chosen in such a way that the resulting spike trains resemble spike trains of 2D MEA experiments with hPSCNNs with respect to spike and burst rate. A network with 1,000 neurons and 10 per cent connectivity was simulated.
For validation, we examined in vitro MEA recordings from nine relatively mature hPSC-NNs performed for approximately 300 seconds 27 to 39 days after plating. We calculated the median and quartiles of the spike and burst rate, the number of spikes per burst and the burst duration using the burst analysis tool by Kapucu et al. (2012) for both the simulated and the experimental data. Moreover, we used the detection method of synchronous burst events published by Raichmann and Ben-Jacob (2008). The results show that we can simulate typical spike and burst patterns as known from MEA experiments with maturated hPSC-NNs and in particular synchronous bursts. The validation showed that all calculated median values of the INEX data are within the lower and upper quartile of the MEA data. To conclude, the calculated features adapted from spikes and bursts show that matured hPSC-NNs as observed in MEA experiments can be modeled by the INEX model.
Acknowledgements
This research has been supported by the 3DNeuroN project in the European Union’s Seventh Framework Programme, Future and Emerging Technologies, grant agreement no.296590.
Keywords:
computational model,
multielectrode array,
hESCs,
burst analysis,
in vitro
Conference:
Neuroinformatics 2014, Leiden, Netherlands, 25 Aug - 27 Aug, 2014.
Presentation Type:
Poster, to be considered for oral presentation
Topic:
Computational neuroscience
Citation:
Lenk
K,
Ylä-Outinen
L,
Tietz
LH,
Narkilahti
S and
Hyttinen
JA
(2014). Simulation of matured in vitro human neuronal cell networks.
Front. Neuroinform.
Conference Abstract:
Neuroinformatics 2014.
doi: 10.3389/conf.fninf.2014.18.00008
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Received:
03 Apr 2014;
Published Online:
04 Jun 2014.
*
Correspondence:
Miss. Kerstin Lenk, Tampere University of Technology and BioMediTech, Department of Electronics and Communications Engineering, Tampere, Finland, lenk.kerstin@gmail.com