A quantitative survey of kappa and alpha EEG activity

Chapman, Robert M.; Armington, John C.; Bragdon, Henry R.

doi:10.1016/0013-4694(62)90136-0

Cited by 67 publications

(33 citation statements)

References 12 publications

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“…We report that posterior low-(about 8-10 Hz) and high-(about 10-12 Hz) frequency alpha power was lower in amplitude in both elite karate athletes and non-athletes during the eyes-open compared with eyes-closed condition, in agreement with well-known previous EEG evidence found in normal and diseased subjects (Chapman et al, 1962;Glass and Kwiatkowski, 1970;Gale et al, 1971;Jeong, 2004;van der Hiele et al, 2007;Barry et al, 2007;Chen et al, 2008). This finding confirmed the good quality of the EEG data recording and analysis in the present study.…”

Section: Discussionsupporting

confidence: 95%

Reactivity of alpha rhythms to eyes opening is lower in athletes than non-athletes: A high-resolution EEG study

Percio

Infarinato

Marzano

et al. 2011

International Journal of Psychophysiology

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Section: Discussionsupporting

confidence: 95%

Reactivity of alpha rhythms to eyes opening is lower in athletes than non-athletes: A high-resolution EEG study

Percio

Infarinato

Marzano

et al. 2011

International Journal of Psychophysiology

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“…Decreased alpha in the high-load task is consistent with the notion that the amplitude of this signal is inversely related to the proportion of cortical neurons involved with task performance. Similar patterns of effort-related modulation of the EEG have been found in numerous other investigations (9)(10)(11)(12)(13)(14)(15)(16)(17)(18)(19). Although spectral components of healthy adults' EEG have been shown to be sensitive to the mental effort associated with computer-based laboratory tasks, few data exist concerning whether the EEGs of juvenile subjects playing commercial video games will exhibit the similar patterns.…”

supporting

confidence: 66%

Mental Effort‐Related EEG Modulation During Video‐Game Play: Comparison Between Juvenile Subjects with Epilepsy and Normal Control Subjects

et al. 1999

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Summary:Purpose: This study investigated the effects of mental effort exerted during video-game play on features of the EEG in juvenile subjects diagnosed with seizure disorders and in age-matched clinically healthy subjects.Methods: EEG was recorded from 14 children (9-15 years old) as they played a video game, watched another person playing a video-game, and sat quietly with their eyes open. Seven of the subjects had been clinically diagnosed with seizure disorders, three of whom had also exhibited photosensitivity.Results: Three spectral components of the EEG showed cognitive load-related modulation. The amplitude of a frontal midline theta (6-7 Hz) signal increased with video-game play relative to the watching and eyes open resting conditions. A posterior alpha band (9-12 Hz) signal was attenuated during the playing and the watching conditions relative to the resting condition. A central mu (10-13 Hz) rhythm was attenuated during the game-playing condition. No significant differences were found between the patient and control groups for any of these features. Incidence of epileptiform events did not discriminate test conditions in the children with epilepsy.Conclusions: The results from this small sample suggest that video-game play tends to produce similar responses from children with epilepsy and in healthy control subjects. These responses in the juvenile population are similar to responses elicited by increased mental load in normal adult populations.

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“…These include slow wave activity in the -(<3 Hz) band (McCallum et al 1988, Rockstroh et al 1989, high frequency activity in the -(15-30 Hz) and -(30-50 Hz) bands (Sheer 1989) and rarely studied phenomenon such as the -rhythm that occurs around 8 Hz in a small percentage of subjects (Kennedy et al 1948, Chapman et al 1962). Since such phenomena were observed relatively infrequently in our series of studies on working memory, we will not discuss them further, but they may, nonetheless, ultimately prove useful in efforts to monitor cognitive workload using EEG measures.…”

Section: Brain Signals Sensitive To Variations In Mental Effortmentioning

confidence: 98%

Neurophysiological measures of cognitive workload during human-computer interaction

Gevins

Smith

2003

Theoretical Issues in Ergonomics Science

331

253

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Perhaps the most basic issue in the study of cognitive workload is the problem of how to actually measure it. The electroencephalogram (EEG) continues to be the clinical method of choice for monitoring brain function in assessing sleep disorders, level of anaesthesia and epilepsy. This preference reflects the EEG's high sensitivity to variations in alertness and attention, the unimposing conditions under which it can be recorded, and the low cost of the technology it requires. These characteristics also suggest that EEG-based monitoring methods might provide a useful tool in ergonomics. This paper reviews a long-term programme of research aimed at developing cognitive workload monitoring methods based on EEG measures. This research programme began with basic studies of the way neuroelectric signals change in response to highly controlled variations in task demands. The results yielded from such studies provided a basis on which to develop appropriate signal processing methodologies to automatically differentiate mental effort-related changes in brain activity from artifactual contaminants and for gauging relative magnitudes of mental effort in different task conditions. These methods were then evaluated in the context of more naturalistic computerbased work. The results obtained from these studies provide initial evidence for the scientific and technical feasibility of using EEG-based methods for monitoring cognitive load during human-computer interaction.

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A quantitative survey of kappa and alpha EEG activity

Cited by 67 publications

References 12 publications

Reactivity of alpha rhythms to eyes opening is lower in athletes than non-athletes: A high-resolution EEG study

Reactivity of alpha rhythms to eyes opening is lower in athletes than non-athletes: A high-resolution EEG study

Mental Effort‐Related EEG Modulation During Video‐Game Play: Comparison Between Juvenile Subjects with Epilepsy and Normal Control Subjects

Neurophysiological measures of cognitive workload during human-computer interaction

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