The DOI matches its Crossref record; 58 of the 58 references it cites were found in a registry or an index.
The neurophysiological bases of EEG and EEG measurement: A review for the rest of us
Abstract
A thorough understanding of the EEG signal and its measurement is necessary to produce high quality data and to draw accurate conclusions from those data. However, publications that discuss relevant topics are written for divergent audiences with specific levels of expertise: explanations are either at an abstract level that leaves readers with a fuzzy understanding of the electrophysiology involved, or are at a technical level that requires mastery of the relevant physics to understand. A clear, comprehensive review of the origin and measurement of EEG that bridges these high and low levels of explanation fills a critical gap in the literature and is necessary for promoting better research practices and peer review. The present paper addresses the neurophysiological source of EEG, propagation of the EEG signal, technical aspects of EEG measurement, and implications for interpretation of EEG data.
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Cites
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Buzsáki, G. (2006) · doi:10.1093/acprof:oso/9780195301069.001.0001 · Cited by 4,873
The origin of extracellular fields and currents — EEG, ECoG, LFP and spikes
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Electric Fields of the Brain: The Neurophysics of EEG
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Review on solving the inverse problem in EEG source analysis
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Dry-Contact and Noncontact Biopotential Electrodes: Methodological Review
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Where Does EEG Come From and What Does It Mean?
Cohen, M. X. (2017) · Trends in Neurosciences · doi:10.1016/j.tins.2017.02.004 · Cited by 722
Measurement of trust in automation: A narrative review and reference guide
Kohn, S. C., de Visser, E. J., Wiese, E., Lee, Y.-C., & Shaw, T. H. (2021) · Frontiers in Psychology · doi:10.3389/fpsyg.2021.604977 · Cited by 315
Attention and prediction in human audition: a lesson from cognitive psychophysiology
Schröger, E., Marzecová, A., & SanMiguel, I. (2015) · European Journal of Neuroscience · doi:10.1111/ejn.12816 · Cited by 262
ERP CORE: An open resource for human event-related potential research
Kappenman, E. S., Farrens, J. L., Zhang, W., Stewart, A. X., & Luck, S. J. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2020.117465 · Cited by 223
Self-Supervised Contrastive Learning for Medical Time Series: A Systematic Review
Liu, Z., Alavi, A., Li, M., & Zhang, X. (2023) · Sensors · doi:10.3390/s23094221 · Cited by 90
Metadata
- Authors
- Jackson, A. F., & Bolger, D. J.
- Venue
- Psychophysiology
- Publisher
- Wiley
- Published
- 2014-07-17
- Volume
- 51
- Issue
- 11
- Pages
- 1061-1071
- ISSN
- 0048-5772 (ISSN-L)
- 1469-8986
- OpenAlex
- W1516056970
- Cited by
- 264
- References
- 58
- FWCI
- 4.26
- Type
- journal article
- Language
- en
- Open access
- closed
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
