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Updated: Mar 28, 2026
Author Spotlight: Advancements in Multichannel Extracellular Recording for Studying Neuronal Activity in Freely Moving Mice
Published on: May 26, 2023
Joint analysis of extracellular spike waveforms and neuronal network bursts
Fikret Emre Kapucu1, Meeri E-L Mäkinen2, Jarno M A Tanskanen1
1Tampere University of Technology, Department of Electronics and Communications Engineering, Computational Biophysics and Imaging Group, BioMediTech, Biokatu 6, FI-33520 Tampere, Finland.
Background:
Neuronal networks are routinely assessed based on extracellular electrophysiological microelectrode array (MEA) measurements by spike sorting, and spike and burst statistics. We propose to jointly analyze sorted spikes and detected bursts, and hypothesize that the obtained spike type compositions of the bursts can provide new information on the functional networks.
New Method:
Spikes are detected and sorted to obtain spike types and bursts are detected. In the proposed joint analysis, each burst spike is associated with a spike type, and the spike type compositions of the bursts are assessed.
Results:
The proposed method was tested with simulations and MEA measurements of in vitro human stem cell derived neuronal networks under different pharmacological treatments. The results show that the treatments altered the spike type compositions of the bursts. For example, 6-cyano-7-nitroquinoxaline-2,3-dione almost completely abolished two types of spikes which had composed the bursts in the baseline, while bursts of spikes of two other types appeared more frequently. This phenomenon was not observable by spike sorting or burst analysis alone, but was revealed by the proposed joint analysis.
Comparison With Existing Methods:
The existing methods do not provide the information obtainable with the proposed method: for the first time, the spike type compositions of bursts are analyzed.
Conclusions:
We showed that the proposed method provides useful and novel information, including the possible changes in the spike type compositions of the bursts due to external factors. Our method can be employed on any data exhibiting sortable action potential waveforms and detectable bursts.
