Content of review 1, reviewed on May 12, 2022

The authors address the issue of EMG contamination in EEG recordings.
The approach used is novel and smart and the manuscript language is clear. However, I believe that several issues have to be fixed before publication.

First, the authors rely on Laplacian estimation as the "best available" cleaning method but this information is not supported by the literature.
Instead, they state in the introduction that this methods have been seldom used for EEG analysis.
In the introduction, the poor performance of ICA is attributed to small number of electrodes, so what about high-density EEG?
In any case, ICA is generally indicated as the best performing algorithm for EEG cleaning so the authors should better justify their claim about cleaning methods.

In the method section, there is no indication of the ethical committee approving the study.
Moreover, no detail is provided about which drug is administered, how and when.
Details about the drug, its amount and timing should be provided.

In the results section, some conclusions are drawn (lines 223-226). However, it is not clear to me how these results were achieved.
Statistics should be applied. Moreover I do not get how was different subjects data treated: was it averaged? Were the results consistent across all subjects? 6 may be a small number for a proper analysis.

MINOR POINTS
- The formatting in the introduction is a bit odd, it has numbered paragraphs.
- Paragraph 1.4 in introduction (lines 105-108) should be better linked to the above part.
- Line 170 should be "displayed" instead of "display".
- Lines 170-176: figure description is provided before the figure is presented.

Source

    © 2022 the Reviewer.

Content of review 2, reviewed on July 06, 2022

The authors addressed the points i raised.

Source

    © 2022 the Reviewer.

References

    J., P. K., W., L. T., P., F. S., S., J. A., S., G. T., H., W. P. A., Malcolm, B., Tarun, B., M., W. E., O., W. J. 2022. Managing electromyogram contamination in scalp recordings: An approach identifying reliable beta and gamma EEG features of psychoses or other disorders. Brain and Behavior.