4.7 Article

Towards ARTEM-IS: Design guidelines for evidence-based EEG methodology reporting tools

期刊

NEUROIMAGE
卷 245, 期 -, 页码 -

出版社

ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.neuroimage.2021.118721

关键词

EEG; Neuroscience; Methodology; Human error; International standards; ARTEM-IS

资金

  1. Singapore's National Research Foundation under the Science of Learning call [NRF2016-SOL002-011]
  2. Centre for Research and Development in Learning, Nanyang Technological University [JHU IO 90071537]
  3. Ministry of Education, Science and Technological Development of the Republic of Serbia [OI179033]

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With the increasing number of EEG papers, there is a need for new tools to address the limitations in reporting methodology in order to improve transparency, reproducibility, and metascience in the scientific record. The development of these tools should be based on evidence and community consultation to ensure maximum utility for EEG stakeholders. By presenting the ARTEM-IS Statement and Design Guidelines, the goal is to create an Agreed Reporting Template for Electroencephalography Methodology - International Standard and facilitate error reduction in reporting methodology.
As the number of EEG papers increases, so too do the number of guidelines for how to report what has been done. However, current guidelines and checklists appear to have limited adoption, as systematic reviews have shown the journal article format is highly prone to errors, ambiguities and omissions of methodological details. This is a problem for transparency in the scientific record, along with reproducibility and metascience. Following lessons learned in the high complexity fields of aviation and surgery, we conclude that new tools are needed to overcome the limitations of written methodology descriptions, and that these tools should be developed through community consultation to ensure that they have the most utility for EEG stakeholders. As a first step in tool development, we present the ARTEM-IS Statement describing what action will be needed to create an Agreed Reporting Template for Electroencephalography Methodology - International Standard (ARTEM-IS), along with ARTEM-IS Design Guidelines for developing tools that use an evidence-based approach to error reduction. We first launched the statement at the LiveMEEG conference in 2020 along with a draft of an ARTEM-IS template for public consultation. Members of the EEG community are invited to join this collective effort to create evidencebased tools that will help make the process of reporting methodology intuitive to complete and foolproof by design.

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