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Updated: Nov 2, 2025

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Concurrent Electroencephalography Recording During Transcranial Alternating Current Stimulation tACS
Published on: January 22, 2016
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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
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.
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.

