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Cited by 385

The DOI matches its Crossref record; 30 of the 30 references it cites were found in a registry or an index.

EEG Measures of Cerebral Asymmetry: Conceptual and Methodological Issues

Davidson, Richard J.·1988·International Journal of Neuroscience

Abstract

An overview of the use of EEG to assess hemispheric differences in cognitive and affective processes is presented. Some of the advantages of using EEG to assess asymmetric hemispheric differences in the study of complex mental activity are described. Following this brief introduction, two conceptual issues which are central to studies of EEG asymmetries are introduced: (1) the distinction between hemispheric specialization and activation, and (2) the importance of rostral-caudal differences for the understanding of both specialization and activation. Three methodological issues in the use of EEG to assess hemispheric differences are then presented: (1) the use of asymmetry metrics, (2) muscle artifact, and (3) appropriate reference electrode location. Finally, some empirical examples of using EEG to assess affective and cognitive processes which illustrate these conceptual and methodological issues are described.

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Metadata

Authors
Davidson, R. J.
Venue
International Journal of Neuroscience
Published
1988-01
Volume
39
Issue
1-2
Pages
71-89
ISSN
  • 0020-7454 (ISSN-L)
  • 1543-5245
OpenAlex
W2003418878
Cited by
385
References
30
FWCI
3.51
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: EEG Measures of Cerebral Asymmetry: Conceptual and Methodological Issues. https://app.cochat.ai/papers/10.3109/00207458808985694
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Davidson, R. J. (1988). EEG Measures of Cerebral Asymmetry: Conceptual and Methodological Issues. International Journal of Neuroscience. https://doi.org/10.3109/00207458808985694

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.