High-frequency brain activity and muscle artifacts in MEG/EEG: a review and recommendations
By Suresh D. Muthukumaraswamy. Frontiers in Human Neuroscience, 2013
637 citations recorded by the source corpus.
In recent years high-frequency brain activity in the gamma-frequency band (30–80 Hz) and above has become the focus of a growing body of work in MEG/EEG research. Unfortunately, high-frequency neural activity overlaps entirely with the spectral bandwidth of muscle activity (~20–300 Hz). It is becoming appreciated that artifacts of muscle activity may contaminate a number of non-invasive reports of high-frequency activity. In this review, the spectral, spatial, and temporal characteristics of muscle artifacts are compared with those described (so far) for high-frequency neural activity. In addition, several of the techniques that are being developed to help suppress muscle artifacts in MEG/EEG are reviewed. Suggestions are made for the collection, analysis, and presentation of experimental data with the aim of reducing the number of publications in the future that may contain muscle artifacts.
Subfields: Cognitive Neuroscience
View Paper: https://www.semanticscholar.org/paper/c197cce68f33259c17cce28976f54e4ef631d76f
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In Cognitive Neuroscience
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Citations in the corpus
- EEG artifact removal—state-of-the-art and guidelines (2015, background): “Despite the fact that some contradictory studies exist, ICA based procedures are the main accepted solution for obtaining a clean EEG of improved signal quality [32], although they do not always completely separate artifactual from cerebral sources [32, 139].”
- Periodic and aperiodic neural activity displays age-dependent changes across early-to-middle childhood (2021, methodology): “We chose this range to reduce the presence of non-neural artefacts (e.g., electromyographic activity, or microsaccades) which often occur at higher frequencies (Goncharova et al., 2003; Muthukumaraswamy, 2013; Yuval-Greenberg et al., 2008).”
- Separating Neural Oscillations from Aperiodic 1/f Activity: Challenges and Recommendations (2021, background): “In addition to system noise, biological high-frequency noise caused by electromyography (EMG) from the head muscles can contribute to spectral flattening, although EMG does not necessarily have a flat spectrum (Muthukumaraswamy, 2013).”
- EEG Spectral Analysis in Chronic Pain During Rest and Cognitive Reasoning (2025, unknown): “Considering the overlap between fast cortical activity and muscular artifacts at frequencies in the high beta range and above, we filtered the data through semi-manual ICA [76,77].”