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OPETH: Open Source Solution for Real-Time Peri-Event Time Histogram Based on Open Ephys.

András Széll1, Sergio Martínez-Bellver1,2, Panna Hegedüs1,3

  • 1Lendület Laboratory of Systems Neuroscience, Institute of Experimental Medicine, Budapest, Hungary.

Frontiers in Neuroinformatics
|June 9, 2020
PubMed
Summary

We developed an open-source tool, the online peri-event time histogram (OPETH), for real-time feedback during electrophysiology experiments. This enhances neuron identification and significantly speeds up neuroscience research.

Keywords:
behaviorelectrophysiologyopen ephysopen sourceoptogeneticsperi-event time histogram

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Area of Science:

  • Systems Neuroscience
  • Computational Neuroscience
  • Neurophysiology

Background:

  • Single cell electrophysiology is crucial in systems neuroscience, but experimenter decisions heavily influence data quality and project timelines.
  • Current limitations in real-time feedback tools hinder efficient data acquisition, particularly for optogenetics and behavioral studies.
  • Existing specialized tools are often costly and inaccessible, limiting broader community adoption.

Purpose of the Study:

  • To introduce an open-source software tool providing online feedback during electrophysiology recordings.
  • To enable real-time identification of specific neuron types (e.g., genetically defined or behaviorally responsive populations).
  • To reduce experimental time and increase throughput for complex neurophysiology studies.

Main Methods:

  • Developed an open-source tool, the online peri-event time histogram (OPETH).
  • Integrated OPETH with the Open Ephys data acquisition system via a Python interface.
  • Implemented flexible online visualization of spike alignment to external events (e.g., photostimulation, behavioral cues).

Main Results:

  • OPETH provides real-time visualization of spike timing relative to external events.
  • Facilitates rapid identification of genetically defined neuron types during optogenetic experiments.
  • Enables efficient detection of behaviorally responsive neuronal populations in vivo.
  • Significantly reduces the time required for targeted neuron searches.

Conclusions:

  • OPETH offers a valuable, accessible solution for real-time feedback in electrophysiology.
  • The tool enhances experimental efficiency, particularly for combined optogenetics and behavioral paradigms.
  • Open-source availability promotes wider adoption and advancement in systems neuroscience research.