DOI or URL of the report: https://osf.io/ar4uk?view_only=2f35c14b27714de39cf52676e036b3c7
Version of the report: 2.0
Dear Dr. Marta Topor and Dr. Marcin Koculak, please see the attached file for our replies to your helpful comments.
Dear authors,
Thank you for submitting a revised version of your manuscript. I have received two positive reviews, one from a previous reviewer and one from a reviewer who has not seen your report before.
There is no doubt that your protocol is well-designed and well thought-through given the complexity of your investigation.
I have already drafted the In-Principle Acceptance for your study and I will be ready to issue it as soon as you address some important points listed below:
Finally, I would like to signpost you to the policy for changes between Stage 1 and Stage 2. I know that I have made this point before, but just want to remind you before Stage 1 is finalised that no major changes will be accepted to the introduction and method sections after IPA - point 3.10 in policies and procedures.
Since one of the reviewers asked about open data, I also want to bring up the TOP guidelines. Adherence to the TOP guidelines will be checked at Stage 2 submission.
Best wishes,
Marta Topor
This is an excellent manuscript, and I hope this study can now proceed without further delay. The authors engaged constructively with my small point.
DOI or URL of the report: https://osf.io/hkq7v?view_only=2f35c14b27714de39cf52676e036b3c7
Version of the report: 1
Thank you again for your helpful comments. Please see the attached PDFs for all of our responses, as well our red-font revised manuscript. A clean version of the manuscript has been also uploaded to our repository. We look forward to any further feedback you may have.
Dear authors,
I am pleased to let you know that we have now received three positive reviews of your stage 1 RR. Please read them carefully and respond to each reviewer point by point.
In addition to the peer reviews, here are a few important points I need you to address in your next draft before we can proceed with a recommendation.
In your next version, please clearly mark all changes to the submitted manuscript. You may also choose to additionally upload a clean version of the manuscript to the OSF.
I am looking forward to reading your revised manuscript.
Best wishes,
Marta Topor
The proposed study holds substantial promise to advance our understanding of the relation between conscious contents and neural dynamical complexity. This is an open problem of considerable interest within the consciousness science community. Various measures of dynamical complexity are very effective at indexing global states of consciousness, but to enhance our understanding of what exactly this is capturing, there is a clear need to better study this in relation to conscious contents. The manuscript exhibits a detailed understanding and review of the literature in this area, including the shortcomings of existing results and explaining the need for a comprehensive study along the lines of that proposed. The study gets the correct modality for the theory (EEG, which has high enough temporal resolution to capture dynamical complexity on the appropriate timescale for conscious content formation), covers both perturbational and spontaneous measures, covers visual and auditory stimuli, eyes-open and eyes-closed conditions, different levels of stimulus granularity, subjective ratings, and a higher number of participants (>30) than most previous studies. There has been nowhere near this level of detail before in such a study, and I have confidence that previous ambiguous conclusions will be overwritten. The methodology and analysis pipelines are well-written, and all look feasible, the study will be well-powered given the quantity of data to be collected, and different outcome scenarios are well-discussed.
I have just a couple of small comments:
Pg 7. While it is true that PCI is capturing (possibly mostly) integration, while LZC captures differentiation, I suspect another reason why PCI has greater discriminatory power. The fact that PCI is calculated on an evoked response suggests a higher signal-to-noise ratio than in the data from which LZC is recorded, which is just spontaneous data. This is particularly the case in the classic paradigm involving TMS – signal amplitudes become much higher than at baseline in the data segments from which PCI is computed. It’s also probably worth mentioning that PCI (with TMS) is being computed on some large amplitude electrophysiological signal that is not actually part of the substrate of consciousness – participants’ conscious contents are not typically altered by administration of TMS pulses.
Mediano et al (2020) has now been published, this year in ACS Chemical Neuroscience.