Drinking artifact on scalp‐ <scp>EEG</scp>

Which of the following is the typical morphology of drinking artifact on scalp-EEG? What is the characteristic distribution of drinking artifact on scalp-EEG? Which of the following is characteristic of a non-cerebral generator in electrode position-voltage (EpV) graph? Answers may be found in the supporting information Biological artifacts have a physiological distribution that can make it difficult for a reader to distinguish these from cerebral generators. The tongue is a dipole with the tip being more electronegative compared to the base, which is responsible for the typical distribution of the glossokinetic artifact [1]. We report a novel artifact in three patients associated with drinking a watery liquid as a subtype of glossokinetic artifact, characterized by periodic or rhythmic large amplitude biphasic delta waves at ~1 Hz, mimicking generalized periodic or rhythmic discharges (Video S1). The first peak is a broad downward deflection, followed by a narrower upward deflection in the longitudinal bipolar montage (Figure 1). The topographical organization of the isopotential lines for both peaks is consistent with a horizontal dipole source in the base of the skull (Figure 1). The electrode position-voltage graph demonstrates a non-exponential fall off consistent with a non-cerebral source (Figure 2) [2]. All authors contributed to the conception, data collection, analysis, and interpretation of the data in this report. Saeideh Salehizadeh and Akshaya Rathin Sivaji drafted the manuscript. Neel Fotedar critically revised the manuscript for important intellectual content. All authors approved the final version and agreed to be accountable for all aspects of the work. We would like to thank the EEG technologists at University Hospitals Cleveland Medical Center for their utmost dedication and compassion. We would like to sincerely thank our patients. The authors received no funding for this work. None of the authors report any relevant conflicts of interest. The data that support the findings of this study are available on request from the corresponding author. The data are not publicly available due to privacy or ethical restrictions. Video S1. Appendix S1. Please note: The publisher is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article.

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Journal
Epileptic Disorders
Published
2025-11-24
DOI
https://doi.org/10.1002/epd2.70142
Primary Topic
EEG and Brain-Computer Interfaces
Type
article
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article

Drinking artifact on scalp‐ EEG

Akshaya Rathin Sivaji, Saeideh Salehizadeh, Neel Fotedar
Epileptic Disorders
EEG and Brain-Computer Interfaces
article

Drinking artifact on scalp‐ EEG

Akshaya Rathin Sivaji, Saeideh Salehizadeh, Neel Fotedar
article en

Abstract

Which of the following is the typical morphology of drinking artifact on scalp-EEG? What is the characteristic distribution of drinking artifact on scalp-EEG? Which of the following is characteristic of a non-cerebral generator in electrode position-voltage (EpV) graph? Answers may be found in the supporting information Biological artifacts have a physiological distribution that can make it difficult for a reader to distinguish these from cerebral generators. The tongue is a dipole with the tip being more electronegative compared to the base, which is responsible for the typical distribution of the glossokinetic artifact [1]. We report a novel artifact in three patients associated with drinking a watery liquid as a subtype of glossokinetic artifact, characterized by periodic or rhythmic large amplitude biphasic delta waves at ~1 Hz, mimicking generalized periodic or rhythmic discharges (Video S1). The first peak is a broad downward deflection, followed by a narrower upward deflection in the longitudinal bipolar montage (Figure 1). The topographical organization of the isopotential lines for both peaks is consistent with a horizontal dipole source in the base of the skull (Figure 1). The electrode position-voltage graph demonstrates a non-exponential fall off consistent with a non-cerebral source (Figure 2) [2]. All authors contributed to the conception, data collection, analysis, and interpretation of the data in this report. Saeideh Salehizadeh and Akshaya Rathin Sivaji drafted the manuscript. Neel Fotedar critically revised the manuscript for important intellectual content. All authors approved the final version and agreed to be accountable for all aspects of the work. We would like to thank the EEG technologists at University Hospitals Cleveland Medical Center for their utmost dedication and compassion. We would like to sincerely thank our patients. The authors received no funding for this work. None of the authors report any relevant conflicts of interest. The data that support the findings of this study are available on request from the corresponding author. The data are not publicly available due to privacy or ethical restrictions. Video S1. Appendix S1. Please note: The publisher is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article.

Epileptic DisordersVol. 28(1)
University School (US), Case Western Reserve University (US)
Openalex Percentile: Top 64%
EEG and Brain-Computer Interfaces
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