32-channel mouse EEG

visual evoked potentials

Rüdiger Land*, Alexia Kapche, Lena Ebbers, Andrej Kral

*Corresponding author for this work

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

Background: Measuring visual evoked potentials (VEP) by means of EEG allows the quasi non-invasive assessment of visual function in mice. Such sensory phenotyping is important to screen for genetic or aging effects on vision in preclinical mouse models. Thus, a standardized EEG-like approach for the assessment of sensory evoked potentials in mice is desirable. New method: We describe a method to obtain the topographical distribution of flash evoked VEPs with 32-channel thin-film EEG electrode arrays in anesthetized mice. Further, we provide suggestions for the optimal choice of adequate digital filtering, referencing, and stimulus parameters for fast and reliable assessment of VEP parameters and distribution. Results: 32-channel thin-film electrodes provided clear information on the VEP topography across the skull. Re-referencing, such as bipolar, common average, and local average montages could be used to further refine the information on VEP topography. A balanced choice of digital high-pass filter, signal averaging and stimulus rate allowed to minimize measurement duration and at the same time assured good VEP signal-to-noise ratio. Comparison with existing methods: Subdermal electrodes or single skull screws provide only limited topographical information of the VEP. Assessment of VEPs with 32-channel thin-film electrodes can provide comparable signal quality with superior spatial resolution and standardized topographical and hemispheric information of VEP distribution. Conclusions: EEG-like thin-film electrodes are an efficient tool for fast, comprehensive sensory phenotyping with topographical information in mice. This is a step towards the use of standardized mouse EEG to characterize EEG biomarkers in mouse models of human diseases.

Original languageEnglish
Article number108316
Pages (from-to)1-10
Number of pages10
JournalJournal of Neuroscience Methods
Volume325
DOIs
Publication statusPublished - 1 Sep 2019
Externally publishedYes

Keywords

  • EEG
  • EEG biomarker
  • EEG referencing
  • Electrode array
  • Evoked potentials
  • Mice, high-pass filter
  • Multielectrode array
  • Phenotyping
  • Signal-to-noise ratio
  • Thin-film electrodes
  • Topography
  • VEP
  • Visual cortex
  • Visual evoked potential

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