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A Dataset of Microelectrode Recordings from Deep Brain Stimulation Procedures.

Katarzyna Osowska1, Julian Szymański2, Witold Libionka3

  • 1Gdansk University of Technology, Faculty of Electronics, Telecommunications and Informatics, Gdańsk, 80-233, Poland. kasia@osowski.info.

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|June 10, 2026
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Summary
This summary is machine-generated.

This study introduces a large dataset of microelectrode recordings (MER) from deep brain stimulation (DBS) procedures. The dataset aids in precisely mapping brain structures for improved neurological disorder treatments.

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Area of Science:

  • Neuroscience
  • Biomedical Engineering
  • Data Science

Background:

  • Accurate intraoperative localization of subcortical brain structures is crucial for effective deep brain stimulation (DBS).
  • Limited availability of open-access microelectrode recording (MER) datasets hinders research and development in this area.

Purpose of the Study:

  • To present a comprehensive dataset of processed MER recordings from patients undergoing DBS procedures.
  • To facilitate advancements in subcortical structure classification, analysis of pathological neuronal activity, and development of novel DBS targeting strategies.

Main Methods:

  • Collected 6,646 processed MER recordings from 132 patients with various neurological disorders.
  • Applied automated machine learning for artifact rejection and band-pass filtering.
  • An experienced electrophysiologist annotated key basal ganglia structures (striatum/putamen, GPe, GPi).

Main Results:

  • A substantial, high-quality dataset of MER signals and annotated brain structures is now available.
  • The dataset includes detailed metadata and the full processing pipeline.
  • The data supports diverse research applications, including semi-supervised learning for structure classification.

Conclusions:

  • The released dataset and processing pipeline address the scarcity of open MER data.
  • This resource is expected to accelerate research in DBS targeting and subcortical neurophysiology.
  • It will enable the development of more precise and effective treatments for neurological disorders.