Cited by 263EEG and Brain-Computer InterfacesNeural dynamics and brain functionGaze Tracking and Assistive Technology

Saccadic spike potentials in gamma-band EEG: Characterization, detection and suppression

Keren, Alon S., Yuval-Greenberg, Shlomit, Deouell, Leon Y.·2010·NeuroImage

Abstract

Analysis of high-frequency (gamma-band) neural activity by means of non-invasive EEG is gaining increasing interest. However, we have recently shown that a saccade-related spike potential (SP) seriously confounds the analysis of EEG induced gamma-band responses (iGBR), as the SP eludes traditional EEG artifact rejection methods. Here we provide a comprehensive profile of the SP and evaluate methods for its detection and suppression, aiming to unveil true cerebral gamma-band activity. The SP appears consistently as a sharp biphasic deflection of about 22 ms starting at the saccade onset, with a frequency band of approximately 20-90 Hz. On the average, larger saccades elicit higher SP amplitudes. The SP amplitude gradually changes from the extra-ocular channels towards posterior sites with the steepest gradients around the eyes, indicating its ocular source. Although the amplitude and the sign of the SP depend on the choice of reference channel, the potential gradients remain the same and non-zero for all references. The scalp topography is modulated almost exclusively by the direction of saccades, with steeper gradients ipsilateral to the saccade target. We discuss how the above characteristics impede attempts to remove these SPs from the EEG by common temporal filtering, choice of different references, or rejection of contaminated trials. We examine the extent to which SPs can be reliably detected without an eye tracker, assess the degree to which scalp current density derivation attenuates the effect of the SP, and propose a tailored ICA procedure for minimizing the effect of the SP.

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Crossref · 10.1016/j.neuroimage.2009.10.057

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  • Higher frequencies are more prone to artifact from eye movements and other sources.

    “18-25 Hz power was used for the high frequency power range of interest because higher frequencies are more prone to artifact from eye movements and other sources 71,72 and applying ICA for artifact removal to data in an online fashion was technically challenging.”

    From The neural correlates of dreaming (2017) · cites this paper as [71]

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References 79 · Cited by 263

Authors
Keren, A. S., Yuval-Greenberg, S., & Deouell, L. Y.
Affiliations
Hebrew University of Jerusalem (IL)
Corresponding author
Keren, Alon S.
Venue
NeuroImage
Publisher
Elsevier BV
Published
2010-02
Volume
49
Issue
3
Pages
2248-2263
ISSN
1053-8119 (ISSN-L)
OpenAlex
W2087560820
Cited by
263
References
79
Citations by year
2026: 14 · 2025: 9 · 2024: 12 · 2023: 13 · 2022: 15 · 2021: 13 · 2020: 14 · 2019: 18 · 2018: 14 · 2017: 25 · 2016: 19 · 2015: 22 · 2014: 16 · 2013: 22 · 2012: 15
FWCI
5.60
Type
journal article
Language
en
Open access
closed
Locations
  • NeuroImage (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › EEG and Brain-Computer Interfaces
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
  • Physical Sciences › Computer Science › Human-Computer Interaction › Gaze Tracking and Assistive Technology
Keywords
gamma-band EEG, saccades, EEG artifact rejection, scalp topography, saccade direction, independent component analysis, saccade detection
MeSH terms
Action Potentials, Adult, Brain, Brain Mapping, Electroencephalography, Female, Humans, Image Processing, Computer-Assisted, Male, Saccades, Artifacts, Principal Component Analysis

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