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Simultaneous human intracerebral stimulation and HD-EEG, ground-truth for source localization methods.

Ezequiel Mikulan1, Simone Russo1, Sara Parmigiani1

  • 1Department of Biomedical and Clinical Sciences "L. Sacco", Università degli Studi di Milano, Milan, Italy.

Scientific Data
|April 30, 2020
PubMed
Summary
This summary is machine-generated.

The Localize-MI dataset provides the first ground-truth data for electroencephalography (EEG) source localization. This dataset enables validation of EEG inverse methods and tissue conductivity estimation in humans.

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Area of Science:

  • Neuroscience
  • Biomedical Engineering
  • Medical Imaging

Background:

  • Accurate electroencephalography (EEG) source localization is crucial for research and clinical applications.
  • Current EEG source localization methods lack established validation due to the absence of ground-truth data.
  • Parameter selection for these methods remains a significant challenge.

Purpose of the Study:

  • To introduce the Localize-MI dataset, the first open dataset with precisely known human brain electrical activity sources.
  • To facilitate the development, validation, and testing of EEG source localization techniques.
  • To enable in vivo estimation of human brain tissue conductivity.

Main Methods:

  • Recorded high-density EEG from patients undergoing pre-surgical evaluation for epilepsy.
  • Delivered controlled single-pulse biphasic currents (0.1–5 mA) via stereotactically implanted electrodes.
  • Sources were precisely located in diverse brain regions, establishing ground-truth for EEG signals.

Main Results:

  • The Localize-MI dataset offers unprecedented ground-truth for EEG source localization.
  • Enables direct comparison and validation of various EEG inverse methods.
  • Provides data for estimating in vivo brain tissue conductivity.

Conclusions:

  • The Localize-MI dataset is a significant resource for advancing EEG source localization.
  • It addresses the critical need for validated methods in neuroscience and clinical practice.
  • Facilitates improved understanding of brain activity and electrical properties.