Electrophysiological investigation of human embryonic stem cell derived neurospheres using a novel spike detection algorithm

  • Microelectrode array (MEA) technology in combination with three-dimensional (3D) neuronal cell models derived from human embryonic stem cells (hESC) provide an excellent tool for neurotoxicity screening. Yet, there are significant challenges in terms of data processing and analysis, since neuronal signals have very small amplitudes and the 3D structure enhances the level of background noise. Thus, neuronal signal analysis requires the application of highly sophisticated algorithms. In this study, we present a new approach optimized for the detection of spikes recorded from 3D neurospheres (NS) with a very low signal-to-noise ratio. This was achieved by extending simple threshold-based spike detection utilizing a highly sensitive algorithm named SWTTEO. This analysis procedure was applied to data obtained from hESC-derived NS grown on MEA chips. Specifically, we examined changes in the activity pattern occurring within the first ten days of electrical activity. We further analyzed the response of NS to the GABA receptor antagonist bicuculline. With this new algorithm method we obtained more reliable results compared to the simple threshold-based spike detection.

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Author:Margot Mayer, Onetsine Arrizabalaga, Florian Lieb, Manuel Ciba, Sylvia Ritter, Christiane Thielemann
Parent Title (English):Biosensors and Bioelectronics
Document Type:Article
Year of Completion:2018
Release Date:2020/04/27
Tag:Human embryonic stem cell-derived neurons; Microelectrode array; Neurosphere; SWTTEO; Spike detection algorithm
GND Keyword:Embryonale Stammzelle
First Page:462
Last Page:468
Institutes:Fakultät Ingenieurwissenschaften / Labore / BIOMEMS
Licence (German):Creative Commons - CC BY-NC-ND - Namensnennung - Nicht kommerziell - Keine Bearbeitungen 4.0 International