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Li et al. Soft Sci 2023;3:22 https://dx.doi.org/10.20517/ss.2023.11 Page 13 of 15

DECLARATIONS
Authors’ contributions
Conceptualization, electrode preparation, methodology, data acquisition, analysis, and interpretation,
writing original draft: Li H
Methodology, data acquisition, software and data analysis, manuscript revising: Shin H, Zhang M, Huh H,
Riveira N, Kwon G
Electrode preparation, data acquisition, manuscript revising: Yu A, Gangopadahyay S, Peng J, Rao Y, Li Z,
Kim S
Supervision, funding acquisition, and manuscript revision: Sentis L
Project discussion, supervision, and manuscript revision: Millán JdR
Conceptualization, funding acquisition, project administration, resources, supervision and writing, review,
and editing: Lu N

Availability of data and materials
Not applicable.

Financial support and sponsorship
NL acknowledges the support from the U.S. Army Research Office under Cooperative Agreement
(W911NF-19-2-0333). LS acknowledges the support from the U.S. National Science Foundation GCR Grant
(2219236) and the U.S. Army Research Laboratory under Cooperative Agreement (W911NF2120163). The
views and conclusions contained in this review are those of the authors and should not be interpreted as
representing the official policies, either expressed or implied, of the U.S. Army Research Office, U.S.
National Science Foundation, U.S. Army Research Laboratory, or the U.S. government.

Conflicts of interest
All authors declared that there are no conflicts of interest.

Ethical approval and consent to participate
The study was conducted in accordance with the ethical guidelines and principles set forth by the Internal
Review Board (IRB) of the University of Texas at Austin under approval number STUDY00004005. All
participants were informed about the experimental procedure and signed the informed consent forms prior
to participation.

Consent for publication
Not applicable.

Copyright
© The Author(s) 2023.

REFERENCES
1. Yuan H, Li Y, Yang J, et al. State of the art of non-invasive electrode materials for brain-computer interface. Micromachines
2021;12:1521. DOI PubMed PMC
2. Yang L, Liu Q, Zhang Z, Gan L, Zhang Y, Wu J. Materials for dry electrodes for the electroencephalography: advances, challenges,
perspectives. Adv Mater Technol 2022;7:2100612. DOI
3. Lopez-Gordo MA, Sanchez-Morillo D, Pelayo Valle F. Dry EEG electrodes. Sensors 2014;14:12847-70. DOI PubMed PMC
4. Campbell IG. EEG recording and analysis for sleep research. Curr Protoc Neurosci 2009;Chapter 10:Unit10.2. DOI PubMed PMC
5. Noachtar S, Rémi J. The role of EEG in epilepsy: a critical review. Epilepsy Behav 2009;15:22-33. DOI PubMed
6. Cervera MA, Soekadar SR, Ushiba J, et al. Brain-computer interfaces for post-stroke motor rehabilitation: a meta-analysis. Ann Clin
Transl Neurol 2018;5:651-63. DOI PubMed PMC
7. Wolpaw JR, Millán JdR, Ramsey NF. Chapter 2 - Brain-computer interfaces: definitions and principles. Handb Clin Neurol 2020;168:
15-23. DOI