ERP based measures of cognitive workload: A review

Usman Ghani*, Nada Signal, Imran Khan Niazi, Denise Taylor

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

57 Citations (Scopus)

Abstract

This review appraises electroencephalograph (EEG) approaches to cognitive workload evaluation, focussing on the measurement of event-related potentials (ERPs) in single task paradigms. A systematic search was undertaken, studies were included if they used a single task paradigm with an auditory stimulus combined with ERP measures from EEG to evaluate cognitive workload in healthy adults. Nineteen articles met the inclusion criteria. There was a change in the amplitude of ERP components with an increase in cognitive difficulty. However, this change was dependent on the features of the task and stimuli. This review emphasizes the importance of stimulus and task selection in single task paradigms to evaluate cognitive workload. This review also synthesizes important concepts regarding ERPs in single task paradigms such as the effect of primary task selection on specific ERP components.

Original languageEnglish
JournalNeuroscience and Biobehavioral Reviews
Volume118
Pages (from-to)18-26
Number of pages9
ISSN0149-7634
DOIs
Publication statusPublished - Nov 2020
Externally publishedYes

Bibliographical note

Funding Information:
We would like to thank Brain Research New Zealand (BRNZ) for sponsoring this research.

Publisher Copyright:
© 2020 Elsevier Ltd

Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.

Keywords

  • Auditory stimulus
  • Cognitive task
  • Cognitive workload
  • Electroencephalography (EEG)
  • Event-related potentials (ERPs)

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