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Concurrent Electroencephalography Recording During Transcranial Alternating Current Stimulation tACS
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Investigating Nuisance Effects Induced in EEG During tACS Application.

Romain Holzmann1, Judith Koppehele-Gossel2, Ursula Voss2,3

  • 1GSI Helmholtzzentrum für Schwerionenforschung GmbH, Darmstadt, Germany.

Frontiers in Human Neuroscience
|June 14, 2021
PubMed
Summary

Removing artifacts from electroencephalogram (EEG) data during transcranial alternating-current stimulation (tACS) is challenging. This paper presents methods to overcome issues with stimulation signals and artifacts in EEG during tACS brain studies.

Keywords:
EEGartifact removalhardware demonstratormodulationtACS

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Area of Science:

  • Neuroscience
  • Biomedical Engineering
  • Signal Processing

Background:

  • Transcranial alternating-current stimulation (tACS) is a common technique for studying brain function by entraining neuronal oscillations.
  • High-intensity stimulation signals and associated artifacts in electroencephalogram (EEG) data pose significant challenges for accurate analysis.
  • Existing methods struggle to effectively remove harmonic, non-harmonic, and higher-order artifacts induced during tACS.

Purpose of the Study:

  • To address the non-trivial problem of artifact removal in EEG data acquired during tACS.
  • To discuss the challenges and present methodological approaches for artifact mitigation.
  • To illustrate artifact induction mechanisms and removal strategies using experimental data.

Main Methods:

  • Utilizing data from a schematic demonstrator setup to understand artifact generation.
  • Analyzing human-subject EEG data recorded during tACS.
  • Developing and discussing specific methodological strategies for artifact removal.

Main Results:

  • Identified mechanisms of artifact induction during tACS.
  • Demonstrated the effectiveness of proposed strategies in removing stimulation artifacts.
  • Validated artifact removal techniques on both simulated and real-world human data.

Conclusions:

  • Effective removal of tACS-induced artifacts from EEG is crucial for reliable brain function studies.
  • The presented methodological approaches offer solutions to overcome common artifact challenges.
  • This work provides valuable insights for researchers using tACS in conjunction with EEG.