Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Review

Electroencephalography and Magnetoencephalography

Marie-Constance Corsi  1
Olivier Colliot  1
, editors.
In: Machine Learning for Brain Disorders [Internet]. New York, NY: Humana; 2023. Chapter 9.
.
Affiliations
Free Books & Documents
Review

Electroencephalography and Magnetoencephalography

Marie-Constance Corsi.
Free Books & Documents

Excerpt

In this chapter, we present the main characteristics of electroencephalography (EEG) and magnetoencephalography (MEG). More specifically, this chapter is dedicated to the presentation of the data, the way they can be acquired and analyzed. Then, we present the main features that can be extracted and their applications for brain disorders with concrete examples to illustrate them. Additional materials associated with this chapter are available in the dedicated Github repository.

PubMed Disclaimer

References

    1. Seeck M, Koessler L, Bast T, Leijten F, Michel C, Baumgartner C, He B, Beniczky S (2017) The standardized EEG electrode array of the IFCN. Clinical Neurophysiology: Official Journal of the International Federation of Clinical Neurophysiology 128(10):2070–2077. https://doi.org/10.1016/j.clinph.2017.06.254 - DOI - PubMed
    1. Casson AJ (2019) Wearable EEG and beyond. Biomed Eng Lett 9(1):53–71. https://doi.org/10.1007/s13534-018-00093-6. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6431319/ - DOI - PMC - PubMed
    1. Hämäläinen M, Hari R, Ilmoniemi RJ, Knuutila J, Lounasmaa OV (1993) Magnetoencephalography-theory, instrumentation, and applications to noninvasive studies of the working human brain. Rev Mod Phys 65(2):413–497. https://doi.org/10.1103/RevModPhys.65.413. https://link.aps.org/doi/10.1103/RevModPhys.65.413 - DOI - DOI
    1. Cohen D (1972) Magnetoencephalography: detection of the brain’s electrical activity with a superconducting magnetometer. Science 175(4022):664–666 - PubMed
    1. Vrba J, Robinson SE (2001) Signal Processing in Magnetoencephalography. Methods 25(2):249–271. https://doi.org/10.1006/meth.2001.1238. https://www.sciencedirect.com/science/article/pii/S1046202301912381 - DOI - PubMed

LinkOut - more resources