Scalp electrical recording during paralysis: Quantitative evidence that EEG frequencies above 20Hz are contaminated by EMG

Whitham, Emma M.; Pope, Kenneth J.; Fitzgibbon, Sean P.; Lewis, Trent; Clark, Christopher; Loveless, Stephen; Broberg, Marita; Wallace, Angus; DeLosAngeles, Dylan; Lillie, P. E.; Hardy, Andrew; Fronsko, R. R. L.; Pulbrook, Alyson; Willoughby, John O.

doi:10.1016/j.clinph.2007.04.027

Cited by 442 publications

(368 citation statements)

References 22 publications

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“…Whitham and colleagues have suggested that frequency oscillations[20 Hz reflect myogenic artifacts [11]. Considering that our EEG epochs were carefully selected (i.e., free of myogenic artifacts), we believe that our results reflect an actual difference in gamma power between ASD and healthy controls, as was the case of several other studies investigating gamma activity in ASD [5,12,13].…”

Section: Discussionmentioning

confidence: 71%

Increased power of resting-state gamma oscillations in autism spectrum disorder detected by routine electroencephalography

Diessen

Senders

Jansen

et al. 2014

Eur Arch Psychiatry Clin Neurosci

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Experimental studies suggest that increased resting-state power of gamma oscillations is associated with autism spectrum disorder (ASD). To extend the clinical applicability of this finding, we retrospectively investigated routine electroencephalography (EEG) recordings of 19 patients with ASD and 19 age-and gender-matched controls. Relative resting-state condition gamma spectral power was variable, but on average significantly increased in children with ASD. This effect remained when excluding electrodes associated with myogenic gamma activity. These findings further indicate that increased resting-state gamma activity characterizes a subset of ASD and may also be detected by routine EEG as a clinically accessible and well-tolerated investigation.

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Section: Discussionmentioning

confidence: 71%

Increased power of resting-state gamma oscillations in autism spectrum disorder detected by routine electroencephalography

Diessen

Senders

Jansen

et al. 2014

Eur Arch Psychiatry Clin Neurosci

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“…The top left panel shows that the power spectrum of F8 is virtually identical to the power spectrum of the other channel up to 20 Hz, where the spectrum of F8 flattens out to approximate white noise. Twenty hertz is exactly the frequency identified by Whitham et al (2007) as the point above which EMG contamination comes into play in scalp EEG and Freeman et al (2003a) have shown that voluntarily produced scalp muscle noise has the flat spectrum of white noise, so the top left panel of Fig. 11 tends to confirm the origin of the noise on subject JL's channel F8 as muscle activity.…”

Section: Muscle Noise Artifactmentioning

confidence: 75%

“…It has long been known that gamma EEG can be significantly contaminated by muscle noise (e.g. Freeman et al, 2003b), and Whitham et al (2007) have recently shown that in their subjects much of the EEG power above 20 Hz disappeared during experimental muscle paralysis.…”

Section: Muscle Noise Artifactmentioning

confidence: 99%

EEG synchrony during a perceptual-cognitive task: Widespread phase synchrony at all frequencies

Pockett

Bold

Freeman

2009

Clinical Neurophysiology

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“…In scalp EEG signals the frequency band under study is affected by the presence of muscle artifacts (Whitham et al, 2007), such as eye saccades (Yuval-Greenberg et al, 2008). To minimize these artifacts the analyzed recordings correspond to non-REM sleep.…”

Section: Discussionmentioning

confidence: 99%

Automatic detection of fast oscillations (40–200Hz) in scalp EEG recordings

Ellenrieder

Andrade-Valença

Dubeau

et al. 2012

Clinical Neurophysiology

111

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Objective-We aim to automatically detect fast oscillations (40-200 Hz) related to epilepsy on scalp EEG recordings.Methods-The detector first finds localized increments of the signal power in narrow frequency bands. A simple classification based on two features, a narrowband to wideband signal amplitude ratio and an absolute narrowband signal amplitude, then allows for an important reduction in the number of false positives.Results-When compared to an expert, the performance in 15 focal epilepsy patients resulted in 3.6 false positives per minute at 95% sensitivity, with at least 40% of the detected events being true positives. In most of the patients the channels showing the highest number of events according to the expert and the automatic detector were the same.Conclusions-A high sensitivity is achieved with the proposed automatic detector, but results should be reviewed by an expert to remove false positives.Significance-The time required to mark fast oscillations on scalp EEG recordings is drastically reduced with the use of the proposed detector. Thus, the automatic detector is a useful tool in studies aiming to create a better understanding of the fast oscillations visible on the scalp.

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Scalp electrical recording during paralysis: Quantitative evidence that EEG frequencies above 20Hz are contaminated by EMG

Cited by 442 publications

References 22 publications

Increased power of resting-state gamma oscillations in autism spectrum disorder detected by routine electroencephalography

Increased power of resting-state gamma oscillations in autism spectrum disorder detected by routine electroencephalography

EEG synchrony during a perceptual-cognitive task: Widespread phase synchrony at all frequencies

Automatic detection of fast oscillations (40–200Hz) in scalp EEG recordings

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