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MNE Scan: Software for real-time processing of electrophysiological data.

Lorenz Esch1, Limin Sun2, Viktor Klüber3

  • 1Massachusetts General Hospital, Massachusetts Institute of Technology, Harvard Medical School, Athinoula A. Martinos Center for Biomedical Imaging, 149 13th St., Charlestown, MA 02129, USA; Boston Children's Hospital, Division of Newborn Medicine, Department of Medicine, Harvard Medical School, Boston, MA 02115 USA; Institute of Biomedical Engineering and Informatics, Technische Universität Ilmenau, Gustav-Kirchhoff- Str. 2, 98693 Ilmenau, Germany.

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|April 6, 2018
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Summary

MNE Scan is a new open-source software for real-time analysis of brain activity using Magnetoencephalography (MEG) and Electroencephalography (EEG). It supports clinical applications and neurofeedback, bridging research and patient care.

Keywords:
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Area of Science:

  • Neuroscience
  • Biomedical Engineering
  • Software Engineering

Background:

  • Magnetoencephalography (MEG) and Electroencephalography (EEG) are noninvasive techniques for studying human brain electrophysiological activity.
  • Real-time processing of MEG/EEG data is crucial for optimizing information acquisition and enabling neurofeedback through dynamic stimulus adjustment.

Purpose of the Study:

  • Introduce MNE Scan, a novel software for real-time acquisition and analysis of MEG/EEG data.
  • Facilitate the development and application of new real-time processing methods in research and clinical settings.
  • Ensure clinical software compliance through a rigorous software engineering process.

Main Methods:

  • Developed MNE Scan based on the MNE-CPP software library.
  • Implemented a strict software engineering process for clinical software requirements.
  • Tested MNE Scan in device-independent use cases, including epilepsy studies, real-time source estimation, and Brain-Computer Interface (BCI) applications.

Main Results:

  • MNE Scan demonstrated performance in clinical epilepsy studies.
  • Successfully applied in real-time source estimation and Brain-Computer Interface (BCI) applications.
  • Validated its capability for real-time MEG/EEG data processing.

Conclusions:

  • MNE Scan is the first device-independent, open-source software for real-time MEG/EEG analysis.
  • It facilitates the transition of neuroscience research into applied sciences and clinical practice.
  • Offers a modular, extendable, and freely accessible solution for neurophysiological studies.