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Related Experiment Video

Updated: Jan 22, 2026

Visual Evoked Potential Recordings in Mice Using a Dry Non-invasive Multi-channel Scalp EEG Sensor
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Visual Evoked Potential Recordings in Mice Using a Dry Non-invasive Multi-channel Scalp EEG Sensor

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32-channel mouse EEG: Visual evoked potentials.

Rüdiger Land1, Alexia Kapche1, Lena Ebbers2

  • 1Institute for Audioneurotechnology, Hannover Medical School, Stadtfelddamm 34, 30625 Hannover, Germany; Department of Otolaryngology, Hannover Medical School, Carl-Neuberg-Str. 1, 30625 Hannover, Germany.

Journal of Neuroscience Methods
|June 29, 2019
PubMed
Summary
This summary is machine-generated.

This study presents a novel 32-channel thin-film electrode array for enhanced visual evoked potential (VEP) measurement in mice. This method offers superior spatial resolution for preclinical vision research.

Keywords:
EEGEEG biomarkerEEG referencingElectrode arrayEvoked potentialsMice, high-pass filterMultielectrode arrayPhenotypingSignal-to-noise ratioThin-film electrodesTopographyVEPVisual cortexVisual evoked potential

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Area of Science:

  • Neuroscience
  • Ophthalmology
  • Preclinical Research

Background:

  • Visual evoked potentials (VEP) via EEG offer quasi non-invasive assessment of visual function in mice.
  • Sensory phenotyping is crucial for screening genetic or aging effects on vision in preclinical models.
  • A standardized EEG-like approach for VEP assessment in mice is needed.

Purpose of the Study:

  • To describe a method for obtaining topographical distribution of flash evoked VEPs using 32-channel thin-film EEG electrode arrays in anesthetized mice.
  • To provide recommendations for optimal digital filtering, referencing, and stimulus parameters for VEP assessment.
  • To enable fast and reliable assessment of VEP parameters and distribution.

Main Methods:

  • Utilized 32-channel thin-film EEG electrode arrays for VEP recording in anesthetized mice.
  • Investigated various re-referencing techniques (bipolar, common average, local average) to refine VEP topography.
  • Optimized digital high-pass filtering, signal averaging, and stimulus rate for efficient VEP measurement.

Main Results:

  • 32-channel thin-film electrodes provided clear VEP topography across the skull.
  • Re-referencing strategies effectively refined topographical VEP information.
  • Optimized parameters minimized measurement duration while ensuring good VEP signal-to-noise ratio.

Conclusions:

  • EEG-like thin-film electrodes enable efficient, comprehensive sensory phenotyping with topographical data in mice.
  • This method offers superior spatial resolution and standardized topographical information compared to subdermal electrodes or skull screws.
  • This advancement supports the use of standardized mouse EEG for characterizing biomarkers in disease models.