T
Trent W. Lewis
Researcher at Flinders University
Publications - 65
Citations - 1602
Trent W. Lewis is an academic researcher from Flinders University. The author has contributed to research in topics: Illusion & Electroencephalography. The author has an hindex of 17, co-authored 65 publications receiving 1408 citations. Previous affiliations of Trent W. Lewis include University of Sydney.
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Scalp electrical recording during paralysis: quantitative evidence that EEG frequencies above 20 Hz are contaminated by EMG.
Emma M. Whitham,Kenneth J. Pope,Sean P. Fitzgibbon,Trent W. Lewis,C. Richard Clark,Stephen Loveless,Marita Broberg,Angus Wallace,Dylan DeLosAngeles,Peter Lillie,Andrew Hardy,R. R. L. Fronsko,Alyson Pulbrook,John O. Willoughby +13 more
TL;DR: Electroencephalogram rhythms in the paralysed state differed significantly compared with the unparalysed state, with 10- to 200-fold differences in the power of frequencies above 20 Hz during paralysis.
Journal ArticleDOI
Thinking activates EMG in scalp electrical recordings.
Emma M. Whitham,Trent W. Lewis,Kenneth J. Pope,Sean P. Fitzgibbon,C. Richard Clark,Stephen Loveless,Dylan DeLosAngeles,Angus Wallace,Marita Broberg,John O. Willoughby +9 more
TL;DR: Electrical rhythms in the gamma frequency range recorded from the scalp are inducible by mental activity and are largely due to EMG un-related to cognitive effort.
Journal ArticleDOI
Relation of gamma oscillations in scalp recordings to muscular activity.
TL;DR: There were reductions in ‘noisiness’ of the standard scalp recordings which were maximal over the peripheral scalp, not explained by abolition of movement artefact, and best accounted for by sustained EMG activity in resting individuals.
Journal ArticleDOI
Measurement of neural signals from inexpensive, wireless and dry EEG systems
Tyler S. Grummett,Richard Leibbrandt,Trent W. Lewis,Dylan DeLosAngeles,David M. W. Powers,John O. Willoughby,Kenneth J. Pope,Sean P. Fitzgibbon +7 more
TL;DR: The results show that inexpensive, wireless, or dry systems may be suitable for experimental studies using EEG, depending on the research paradigm, and within the constraints imposed by their limited electrode placement and number.
Journal ArticleDOI
Automatic determination of EMG-contaminated components and validation of independent component analysis using EEG during pharmacologic paralysis
Sean P. Fitzgibbon,Sean P. Fitzgibbon,Dylan DeLosAngeles,Trent W. Lewis,David M. W. Powers,David M. W. Powers,Tyler S. Grummett,Emma M. Whitham,Lawrence M. Ward,John O. Willoughby,Kenneth J. Pope +10 more
TL;DR: This study strengthens ICA as a technique to remove EMG contamination from EEG whilst preserving neurogenic activity to 50 Hz and demonstrates a heuristic, based on the gradient of EEG spectra, to automatically identify and remove components that are predominantly EMG.