Noninvasive brain stimulation (NIBS) encompasses transcranial stimulation techniques that can influence brain excitability. These techniques have the potential to treat conditions like depression, anxiety, and chronic pain, and to provide insights into brain function. However, a lack of standardized reporting practices limits its reproducibility and full clinical potential. This paper aims to foster interinterdisciplinarity toward adopting Computer Science Semantic reporting methods for the standardized documentation of Neuroscience NIBS studies making them explicitly Findable, Accessible, Interoperable, and Reusable (FAIR). In a large-scale systematic review of 600 repetitive transcranial magnetic stimulation (rTMS), a subarea of NIBS, dosages, we describe key properties that allow for structured descriptions and comparisons of the studies. This paper showcases the semantic publishing of NIBS in the ecosphere of knowledge-graph-based next-generation scholarly digital libraries. Specifically, the FAIR Semantic Web resource(s)-based publishing paradigm is implemented for the 600 reviewed rTMS studies in the Open Research Knowledge Graph.

翻译：非侵入性脑刺激（NIBS）包括能够影响大脑兴奋性的经颅刺激技术。这些技术有望治疗抑郁症、焦虑症和慢性疼痛等疾病，并为理解脑功能提供见解。然而，缺乏标准化报告规范限制了其可重复性和临床潜力。本文旨在促进跨学科合作，引入计算机科学的语义报告方法，以标准化方式记录神经科学的NIBS研究，使其明确满足可发现、可访问、可互操作和可重用（FAIR）原则。通过对600项重复经颅磁刺激（rTMS，NIBS的子领域）剂量的大规模系统综述，我们描述了支持研究结构化描述和比较的关键特性。本文展示了NIBS在基于知识图谱的下一代学术数字图书馆生态中的语义出版。具体而言，基于FAIR语义网络资源的出版范式已在开放研究知识图谱中对所综述的600项rTMS研究进行了实现。