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Learning to control brain activity: A review of the production and control of EEG components for driving brain–computer interface (BCI) systems

Curran, E·2003·Brain and Cognition

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Abstract

Brain-computer interface (BCI) technology relies on the ability of individuals to voluntarily and reliably produce changes in their electroencephalographic (EEG) activity. The present paper reviews research on cognitive tasks and other methods of generating and controlling specific changes in EEG activity that can be used to drive BCI systems. To date, motor imagery has been the most commonly used task. This paper explores the possibility that other cognitive tasks, including those used in imaging studies, may prove to be more effective. Other factors which influence performance are also considered in relation to selection of tasks, as well as training of subjects.

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Authors: Curran, E.
Affiliations: Royal Hospital for Neuro-disability (GB)
Corresponding author: Curran, E
Venue: Brain and Cognition
Publisher: Elsevier BV
Published: 2003-04
Volume: 51
Issue: 3
Pages: 326-336
ISSN: 0278-2626 (ISSN-L)
DOI: 10.1016/s0278-2626(03)00036-8
OpenAlex: W2102757742
Cited by: 417
References: 36
Citations by year: 2026: 3 · 2025: 11 · 2024: 7 · 2023: 19 · 2022: 11 · 2021: 27 · 2020: 25 · 2019: 32 · 2018: 24 · 2017: 28 · 2016: 22 · 2015: 31 · 2014: 27 · 2013: 26 · 2012: 18
FWCI: 3.43
Type: journal article
Language: en
Open access: closed
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations: Brain and Cognition (publishedVersion)
PubMed (publishedVersion)
ePrints Soton (University of Southampton) (submittedVersion)
Kent Academic Repository (University of Kent) (submittedVersion)
Topics: Life Sciences › Neuroscience › Cognitive Neuroscience › EEG and Brain-Computer Interfaces
Physical Sciences › Computer Science › Human-Computer Interaction › Gaze Tracking and Assistive Technology
Social Sciences › Arts and Humanities › Philosophy › Free Will and Agency
Keywords: brain-computer interface, EEG signal generation, motor imagery, cognitive tasks, task selection
MeSH terms: Brain, Electroencephalography, Humans, Learning, Magnetic Resonance Imaging, User-Computer Interface

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