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Brain Sci. 2017, 7(6), 58; doi:10.3390/brainsci7060058

A Review of Issues Related to Data Acquisition and Analysis in EEG/MEG Studies

Psychological & Brain Sciences, Indiana University, 1101 East 10th St, Bloomington, IN 47405, USA
Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA 02129, USA
Author to whom correspondence should be addressed.
Academic Editor: Stephanie Caccioppo
Received: 3 April 2017 / Revised: 23 May 2017 / Accepted: 25 May 2017 / Published: 31 May 2017
(This article belongs to the Special Issue Best Practices in Social Neuroscience)
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Electroencephalography (EEG) and magnetoencephalography (MEG) are non-invasive electrophysiological methods, which record electric potentials and magnetic fields due to electric currents in synchronously-active neurons. With MEG being more sensitive to neural activity from tangential currents and EEG being able to detect both radial and tangential sources, the two methods are complementary. Over the years, neurophysiological studies have changed considerably: high-density recordings are becoming de rigueur; there is interest in both spontaneous and evoked activity; and sophisticated artifact detection and removal methods are available. Improved head models for source estimation have also increased the precision of the current estimates, particularly for EEG and combined EEG/MEG. Because of their complementarity, more investigators are beginning to perform simultaneous EEG/MEG studies to gain more complete information about neural activity. Given the increase in methodological complexity in EEG/MEG, it is important to gather data that are of high quality and that are as artifact free as possible. Here, we discuss some issues in data acquisition and analysis of EEG and MEG data. Practical considerations for different types of EEG and MEG studies are also discussed. View Full-Text
Keywords: EEG; MEG; artifacts; data acquisition; reference electrode; data analysis; sensor space; source space EEG; MEG; artifacts; data acquisition; reference electrode; data analysis; sensor space; source space

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Puce, A.; Hämäläinen, M.S. A Review of Issues Related to Data Acquisition and Analysis in EEG/MEG Studies. Brain Sci. 2017, 7, 58.

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