EEG power spectral measures of cognitive workload: A meta‐analysis
Open accessAbstract
Cognitive workload (CWL) is a fundamental concept in the assessment and monitoring of human performance during cognitive tasks. Numerous studies have attempted to objectively and continuously measure the CWL using neuroimaging techniques. Although the electroencephalogram (EEG) is a widely used technique, the impact of CWL on the spectral power of brain frequencies has shown inconsistent results. The present review aimed to synthesize the results of the literature and quantitatively assess which brain frequency is the most sensitive to CWL. A systematic literature search following PRISMA recommendations highlighted three main frequency bands used to measure CWL: theta (4–8 Hz), alpha (8–12 Hz), and beta (12–30 Hz). Three meta‐analyses were conducted to quantitatively examine the effect of CWL on these frequencies. A total of 45 effect sizes from 24 studies involving 723 participants were computed. CWL was associated with significant effects on theta ( g = 0.68, CI [0.41, 0.95]), alpha ( g = −0.25, CI [−0.45, 0.04]), and beta ( g = 0.50, CI [0.21, 0.79]) power. Our results suggests that theta, especially the frontal theta, is the best index of CWL. Alpha and beta power were also significantly impacted by CWL; however, their association seemed less straightforward. These results are critically analyzed considering the literature on cerebral oscillations. We conclude by emphasizing the need to investigate the interaction between CWL and other factors that may influence spectral power (e.g., emotional load), and to combine this measure with other methods of analysis of the central and peripheral nervous system (e.g., functional connectivity, heart rate).
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The cognition-related frequencies are mainly below 30 Hz, and EEG beyond these frequency bands is easily confused with the electromyogram (EMG).
“In addition, the cognition-related frequencies are mainly below 30 Hz (Chikhi et al. 2022), and EEG beyond these frequency bands is easily confused with the electromyogram (EMG) (Sleigh et al. 2001).”
From Changes in Mental Health and EEG Biomarkers of Undergraduates Under Different Patterns of Mindfulness (2024) · cites this paper as Chikhi et al. 2022
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Flagged first, then by citations
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Cited by
Sorted by citations
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“In addition, the cognition-related frequencies are mainly below 30 Hz (Chikhi et al. 2022), and EEG beyond these frequency bands is easily confused with the electromyogram (EMG) (Sleigh et al. 2001).”
- Authors
- Chikhi, S., Matton, N., & Blanchet, S.
- Affiliations
- Laboratoire Mémoire et Cognition (FR)
- École Nationale de l’Aviation Civile (FR)
- Corresponding author
- Blanchet, Sophie
- Venue
- Psychophysiology
- Publisher
- Wiley
- Published
- 2022-02-06
- Volume
- 59
- Issue
- 6
- Pages
- e14009-e14009
- ISSN
- 0048-5772 (ISSN-L)
- 1469-8986
- OpenAlex
- W4220781804
- Cited by
- 258
- References
- 164
- Citations by year
- 2026: 87 · 2025: 71 · 2024: 67 · 2023: 28 · 2022: 5
- FWCI
- 6.40
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Psychophysiology (publishedVersion, cc-by)
- PubMed (publishedVersion)
- HAL (submittedVersion, cc-by)
- OSF Preprints (OSF Preprints) (submittedVersion)
- Funders
- Ecole Nationale de l'Aviation Civile
- Agence de l'innovation de Défense
- Topics
- Social Sciences › Psychology › Social Psychology › Human-Automation Interaction and Safety
- Life Sciences › Neuroscience › Cognitive Neuroscience › EEG and Brain-Computer Interfaces
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Keywords
- mental workload, EEG spectral power, theta power, alpha power, beta power, frontal theta, neural oscillations, cognitive load monitoring, emotional burden, functional connectivity
- MeSH terms
- Brain, Cognition, Electroencephalography, Emotions, Humans
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