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An open-source, ready-to-use and validated ripple detector plugin for the Open Ephys GUI.

Bruno Monteiro de Sousa^1,2, Eliezyer Fermino de Oliveira³, Ikaro Jesus da Silva Beraldo^1,2

¹Graduate Program in Biological Sciences: Physiology and Pharmacology, Institute of Biological Sciences, Federal University of Minas Gerais, Belo Horizonte, Brazil.

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|July 29, 2022

Summary

This summary is machine-generated.

This study presents an open-source ripple detector for the hippocampus, improving experimental reproducibility. The validated system accurately detects sharp wave-ripples (SWRs) while minimizing false positives for neuroscience research.

Keywords:

Open Ephys closed-loop open-source sharp wave-ripple

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Area of Science:

Neuroscience
Systems Neuroscience
Computational Neuroscience

Background:

Sharp wave-ripples (SWRs) are key hippocampal oscillations during rest.
Closed-loop systems often detect SWRs for experimental manipulation.
Lack of open-source tools hinders reproducibility in SWR research.

Purpose of the Study:

To develop and validate an open-source ripple detector for the scientific community.
To enhance reproducibility in systems neuroscience experiments involving SWRs.
To provide a tool with performance metrics for SWR detection.

Main Methods:

Developed an open-source ripple detection plugin for Open Ephys.
Integrated a movement detector (accelerometer/EMG) to filter false positives.
Validated the algorithm using MATLAB simulations and a closed-loop system.

Main Results:

Achieved 97% true positive rate with 2.48 false positives per minute.
Demonstrated a low round trip latency of 34.5 ± 0.5 ms.
Verified effective reduction of false positives and flexibility for pathological event detection.

Conclusions:

The open-source ripple detector enhances experimental reproducibility in neuroscience.
The validated plugin offers reliable SWR detection for closed-loop applications.
This tool facilitates advancements in systems neuroscience research.