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Cited by 574

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Statistical control of artifacts in dense array EEG/MEG studies

Open access
JUNGHÖFER, MARKUS, ELBERT, THOMAS, TUCKER, DON M., ROCKSTROH, BRIGITTE·2000·Psychophysiology

Abstract

With the advent of dense sensor arrays (64-256 channels) in electroencephalography and magnetoencephalography studies, the probability increases that some recording channels are contaminated by artifact. If all channels are required to be artifact free, the number of acceptable trials may be unacceptably low. Precise artifact screening is necessary for accurate spatial mapping, for current density measures, for source analysis, and for accurate temporal analysis based on single-trial methods. Precise screening presents a number of problems given the large datasets. We propose a procedure for statistical correction of artifacts in dense array studies (SCADS), which (1) detects individual channel artifacts using the recording reference, (2) detects global artifacts using the average reference, (3) replaces artifact-contaminated sensors with spherical interpolation statistically weighted on the basis of all sensors, and (4) computes the variance of the signal across trials to document the stability of the averaged waveform. Examples from 128-channel recordings and from numerical simulations illustrate the importance of careful artifact review in the avoidance of analysis errors.

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Metadata

Authors
JUNGHÖFER, M., ELBERT, T., TUCKER, D. M., & ROCKSTROH, B.
Venue
Psychophysiology
Publisher
Wiley
Published
2000-07
Volume
37
Issue
4
Pages
523-532
ISSN
0048-5772 (ISSN-L)
OpenAlex
W2132282929
Cited by
574
References
1
FWCI
3.85
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Statistical control of artifacts in dense array EEG/MEG studies. https://app.cochat.ai/papers/10.1017/s0048577200980624
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JUNGHÖFER, M., ELBERT, T., TUCKER, D. M., & ROCKSTROH, B. (2000). Statistical control of artifacts in dense array EEG/MEG studies. Psychophysiology. https://doi.org/10.1017/s0048577200980624

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