Ewen Joshua B, Babiloni Claudio, Collins Gary S, Ethridge Lauren E, Gotman Jean, Ikeda Akio, Karoly Philippa J, Potter William Z, Rampp Stephan, Seeck Margitta, Beniczky Sándor
Department of Pediatrics, Ann and Robert H. Lurie Children's Hospital of Chicago and Northwestern Feinberg School of Medicine, Chicago, IL, USA.
Department of Physiology and Pharmacology "Vittorio Erspamer", Sapienza University of Rome, Rome, Italy; Hospital San Raffaele Cassino, Cassino (FR), Italy.
Clin Neurophysiol. 2025 Jun 6;176:2110777. doi: 10.1016/j.clinph.2025.2110777.
Advances in digital technology, signal analysis, and data science have led to a rapid increase in papers reporting EEG-based biomarkers. However, wide heterogeneity in study design and reporting poses challenges in assessing the reliability, validity and utility of these biomarkers. In this evolving field, best practices are sometimes debated but not yet rigorously defined, and the appropriate next step is to ensure that validation-focused research manuscripts report key methodological factors that are known or suspected to influence results. To assist authors in designing and reporting validation studies of EEG biomarkers, and to help editors and regulatory bodies evaluate them, an international working group-under the auspices of the International Federation of Clinical Neurophysiology (IFCN) and in collaboration with the EQUATOR Network-developed the Guidelines for Reporting EEG/Neurophysiology Biomarker Evaluation for Application to Neurology and Neuropsychiatry (GREENBEAN). EEG biomarker validation studies are classified into four phases, similarly to therapeutic studies. Phases 1-2 are preliminary and do not constitute formal validation. Phase 3 studies provide compelling evidence of validity, while phase 4 studies assess the clinical utility and generalizability of previously validated biomarkers within real-world settings. We provide detailed definitions for each phase, along with a checklist of items to address and report. A detailed Explanation and Elaboration document is included in Supplementary Material with multiple examples of how to design and report EEG biomarker studies. We expect that more transparent reporting regarding experimental design and technical standards will not only enhance short-term biomarker validation efforts but will also enhance methodological research to make future efforts more efficient and effective.
数字技术、信号分析和数据科学的进步导致报告基于脑电图生物标志物的论文数量迅速增加。然而,研究设计和报告方面的广泛异质性给评估这些生物标志物的可靠性、有效性和实用性带来了挑战。在这个不断发展的领域,最佳实践有时会引发争论,但尚未得到严格定义,而合适的下一步是确保以验证为重点的研究手稿报告已知或疑似会影响结果的关键方法学因素。为了帮助作者设计和报告脑电图生物标志物的验证研究,并帮助编辑和监管机构进行评估,一个国际工作组在国际临床神经生理学会(IFCN)的支持下,与赤道网络合作,制定了《应用于神经病学和神经精神病学的脑电图/神经生理学生物标志物评估报告指南》(GREENBEAN)。与治疗研究类似,脑电图生物标志物验证研究分为四个阶段。第1 - 2阶段是初步阶段,不构成正式验证。第3阶段研究提供了令人信服的有效性证据,而第4阶段研究评估先前验证的生物标志物在现实环境中的临床实用性和普遍性。我们为每个阶段提供了详细定义,以及一份需要解决和报告的项目清单。补充材料中包含一份详细的解释与阐述文件,其中有多个关于如何设计和报告脑电图生物标志物研究的示例。我们预计,关于实验设计和技术标准的更透明报告不仅将加强短期生物标志物验证工作,还将加强方法学研究,使未来的工作更高效、更有效。