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Related Experiment Video

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Proper reference selection and re-referencing to mitigate bias in single pulse electrical stimulation data.

Harvey Huang1, Joshua A Adkinson2, Michael A Jensen1

  • 1Mayo Clinic, Medical Scientist Training Program.

Biorxiv : the Preprint Server for Biology
|November 1, 2024
PubMed
Summary

Reference contamination in intracranial EEG can skew brain connectivity findings. This study introduces metrics and mitigation strategies, like switching references, to ensure accurate pulse-evoked potential analysis.

Keywords:
Intracranial EEGStereo-EEGbrain connectivitycortico-cortical evoked potentialspulse-evoked potentialsre-referencingsingle pulse electrical stimulation

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Area of Science:

  • Neuroscience
  • Electrophysiology
  • Brain-Computer Interfaces

Background:

  • Single pulse electrical stimulation (SPES) is crucial for mapping brain connectivity using pulse-evoked potentials.
  • Intracranial electrode reference selection is non-standardized and can introduce significant interpretation errors.
  • Reference contamination by stimulation or brain activity can distort recorded potentials.

Purpose of the Study:

  • To identify and address reference contamination in SPES data.
  • To provide practical solutions for improving the reliability of intracranial EEG analysis.
  • To emphasize the importance of rigorous quality control in SPES studies.

Main Methods:

  • Analysis of intracranial EEG datasets from two subjects across different institutions.
  • Development and application of intuitive metrics to detect reference contamination.
  • Evaluation of mitigation strategies including reference electrode switching and re-referencing.

Main Results:

  • Reference contamination was identified in the analyzed datasets.
  • Metrics effectively detected the presence of reference contamination.
  • Switching the reference or using adjusted common average re-referencing mitigated contamination, increasing signal variability.

Conclusions:

  • Reference contamination is a critical issue in SPES data analysis.
  • Implementing quality checks and appropriate preprocessing steps is essential.
  • Standardized reference handling improves the accuracy of brain connectivity inferences from SPES.