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2 - Electroencephalography

Published online by Cambridge University Press:  26 February 2026

Jonas Vibell
Affiliation:
University of Hawaii, Manoa
Thomas Thesen
Affiliation:
Dartmouth College, New Hampshire
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Summary

Chapter 2 traces the development of electroencephalography (EEG) from its inception with Richard Caton’s pioneering work in 1875 to its current status as a cornerstone of human neuroimaging. The chapter discusses how EEG captures the electrical signals generated by synchronous activity of pyramidal neurons arranged in open fields perpendicular to the cortical surface. It examines the technical evolution of recording systems, from basic silver-chloride electrodes to modern active electrode arrays with built-in amplification, and explains the standardized 10-20 electrode placement system that enables spatial mapping of brain activity. The chapter addresses the inverse problem that constrains EEG’s spatial resolution while highlighting its exceptional temporal precision for tracking neuronal events in millisecond timescales. Special attention is given to the characteristic oscillatory patterns in different frequency bands (alpha, beta, theta, delta, gamma) and their association with cognitive states ranging from deep sleep to focused attention. The chapter details practical considerations for obtaining clean recordings, including artifact reduction techniques and experimental design. By evaluating EEG’s strengths (temporal precision, direct measurement of neural activity, accessibility) alongside its limitations, the chapter positions EEG as an enduring, versatile tool for both clinical applications and cognitive neuroscience research despite technological advances in other imaging modalities.

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Chapter
Information
Brain Imaging Essentials
Current Tools and Their Capabilities
, pp. 19 - 38
Publisher: Cambridge University Press
Print publication year: 2026

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References

References and Further Reading

Caton, R. (August 28, 1875). Electrical currents of the brain. British Medical Journal, 2(765), 278. https://doi.org/10.1136/bmj.2.765.257.Google Scholar
Lenartowicz, A., & Loo, S. K. (2014). Use of EEG to diagnose ADHD. Current Psychiatry Reports, 16(11), 498. https://doi.org/10.1007/s11920-014-0498-0.CrossRefGoogle ScholarPubMed
Michel, C. M., & Murray, M. M. (2012). Towards the utilization of EEG as a brain imaging tool. NeuroImage, 61(2), 371385. https://doi.org/10.1016/j.neuroimage.2011.12.039.CrossRefGoogle ScholarPubMed
Nunez, P. L., & Srinivasan, R. (2006). Electric fields of the brain. Oxford: Oxford University Press.CrossRefGoogle Scholar
Ryynänen, O., Hyttinen, J., & Malmivuo, J. (2004). Study on the spatial resolution of EEG–effect of electrode density and measurement noise. Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2004, 44094412. https://doi.org/10.1109/IEMBS.2004.1404226.Google Scholar

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  • Electroencephalography
  • Jonas Vibell, University of Hawaii, Manoa, Thomas Thesen, Dartmouth College, New Hampshire
  • Book: Brain Imaging Essentials
  • Online publication: 26 February 2026
  • Chapter DOI: https://doi.org/10.1017/9781009245555.003
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  • Electroencephalography
  • Jonas Vibell, University of Hawaii, Manoa, Thomas Thesen, Dartmouth College, New Hampshire
  • Book: Brain Imaging Essentials
  • Online publication: 26 February 2026
  • Chapter DOI: https://doi.org/10.1017/9781009245555.003
Available formats
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Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

  • Electroencephalography
  • Jonas Vibell, University of Hawaii, Manoa, Thomas Thesen, Dartmouth College, New Hampshire
  • Book: Brain Imaging Essentials
  • Online publication: 26 February 2026
  • Chapter DOI: https://doi.org/10.1017/9781009245555.003
Available formats
×