ARTEM-IS: Agreed Reporting Template for EEG Methodology - International Standard
Suzy J Styles, Vanja Ković, Han Ke, Anđela Šoškić


Accurate reporting of scientific methodology is critical for the scientific record. Due to the complexity of electroencephalography, EEG research contains multiple degrees of freedom in different stages of data acquisition, processing and analysis. This allows large-scale flexibility, and approaches can vary greatly between different research contexts or projects. Technical reporting of steps in the methodology is also highly convoluted, and verbal descriptions can obscure procedural details. Over the past four decades, researchers have made advances in Guidelines outlining best-practice for reporting standards (Donchin et al., 1977; Keil et al., 2014; Picton et al., 2000). However, recent reviews have shown that reporting often contains ambiguities or omissions (Šoškić, Jovanović, Styles, Kappenman, & Ković, preprint: https://psyarxiv.com/jp6wy/; Ke, Ković, Šoškić, & Styles, in progress). Furthermore inconsistencies in the way particular processes are described make it hard to compare different descriptions of the same method, or to group together research on the basis of methods used. Together these challenges mean that the current literature is unsuited to detailed direct replications or methodologically informed meta-analysis.

We believe that action is necessary to help researchers achieve better reporting standards by designing tools that facilitate detailed methodology documentation, thereby reducing the likelihood of errors and omissions in reporting. This outcome will be achieved more effectively with cooperation of stakeholders across the community who work with EEG products, projects and outputs, to ensure ease of use, clarity and specificity relevant across sectors of the community including hardware manufacturers, software developers, researchers, journal editors, and data archivists. A print-ready PDF of this statement, and a draft template for community consultation towards an ARTEM-IS template for ERP can be found here (https://osf.io/pvrn6/). The first consultations with the community will be held at the LiveMEEG online conference (https://livemeeg2020.org).

Signatories to this statement agree with the following:

1. A standardised reporting tool can improve transparency and clarity of reporting for EEG methodology. This helps strengthen the scientific record and supports future scientific progress including conceptual replications, direct replications and metascience.

2. A standardized template can make reporting of EEG methodology easier, and provide technical details that are less ambiguous, with lower likelihood of omissions or errors.

3. A digital reporting template can be used to archive methods details alongside original research documentation such as protocols, data and code, to document the full research cycle without exhausting limited space in traditional publication formats.

4. A standardised reporting tool will be beneficial to the community of stakeholders in EEG research, including frontline EEG researchers, EEG hardware and software designers, journal editors, advocates for open and replicable methods, meta-analysts, and data-archivists.

5. The community of stakeholders in EEG research can develop more powerful tools by working together. Examples include hardware manufacturers providing machine specifications as pre-filled fields in the reporting template; software developers producing template-ready summaries from code, and data archivists specifying the metadata formats of greatest future utility.


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By filling in this form you become a signatory to ARTEM-IS, and show your agreement with the goals of the ARTEM-IS project. Names and affiliations will be archived alongside the original ARTEM-IS documents in a publicly accessible repository (https://osf.io/pvrn6/). Names and affiliations will be archived as they appear in this form. Emails will be used only to verify identity (i.e., check for uniqueness), and to share occasional updates opportunities to participate in ARTEM-IS consultative development. Personal details will not be shared outside these limited purposes.
References
Donchin, E., Callaway, E., Cooper, R., Desmedt, J. E., Goff, W. R., Hillyard, S. A., & Sutton, S. (1977). Publication criteria for studies of evoked potentials (EP) in man: Methodology and publication criteria. In J. E. Desmedt (Ed.), Progress in clinical neurophysiology: Vol. 1. Attention, voluntary contraction and event-related cerebral potentials (pp. 1–11). Karger.

Ke, H., Ković, V., Šoškić, A., & Styles, S. J. (in progress). Systematic review of MMN for categorical perception of speech in children.

Keil, A., Debener, S., Gratton, G., Junghöfer, M., Kappenman, E. S., Luck, S. J., Luu, P., Miller, G. A., & Yee, C. M. (2014). Committee report: Publication guidelines and recommendations for studies using electroencephalography and magnetoencephalography. Psychophysiology, 51(1), 1–21. https://doi.org/10.1111/psyp.12147

Picton, T. W., Bentin, S., Berg, P., Donchin, E., Hillyard, S. A., Johnson Jr., R., Miller, G. A., Ritterr, W., Ruchkin, D. S., Rugg, M. D., & Taylor, M. J. (2000). Guidelines for using human event-related potentials to study cognition: Recording standards and publication criteria. Psychophysiology, 37(2), 127–152. https://doi.org/10.1111/1469-8986.3720127 

Šoškić, A., Jovanović, V.,  Styles, S. J., Kappenman, E., & Ković, V. (under review). How to do better N400 studies: reproducibility, consistency and adherence to research standards in the existing literature. https://doi.org/10.31234/osf.io/jp6wy 

Styles, S. J., Ković, V., Ke, H., & Šoškić, A. (2020). Agreed Reporting Template for EEG Methodology International Standard (ARTEM-IS). https://osf.io/pvrn6/ 
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