Mouse Hippocampal Sharp-Wave Ripple Dataset Curated From Public Neuropixels Datasets.

Area of Science:

• Neuroscience
• Computational Neuroscience
• Data Science

Background:

• The Allen Brain Institute (ABI) and International Brain Laboratory (IBL) provide large, open-access mouse brain datasets.
• These datasets include electrophysiological recordings (e.g., local field potentials - LFP) and behavioral data.
• Sharp-wave ripples (SWRs) are high-frequency bursts in hippocampal LFPs, crucial for memory consolidation, but lack standardized sharing formats.

Purpose of the Study:

• To develop and present a standardized, sharable format for SWR data.
• To curate and release a large collection of SWR events from existing ABI and IBL datasets.
• To enable further research into the functional role of SWRs in behavior and neural processing.

Main Methods:

• Extracted SWR events from ABI and IBL mouse electrophysiological datasets using neuropixels probes.
• Curated extracted SWR events according to established field standards.
• Developed a sharable data format integrated with existing project APIs and released associated processing code.

Main Results:

• Successfully extracted, curated, and shared 967,431 SWR events from 210 mice.
• The shared data is in a standardized format, facilitating integration and analysis.
• The processing code is also shared, ensuring reproducibility and transparency.

Conclusions:

• The presented standardized SWR dataset and code enable novel analyses of hippocampal function.
• This initiative addresses the lack of data standards for SWRs, promoting collaborative research.
• Facilitates the investigation of SWRs' impact on behavioral tasks and neural activity across brain regions.