Yücel Meryem A, Lühmann Alexander V, Scholkmann Felix, Gervain Judit, Dan Ippeita, Ayaz Hasan, Boas David, Cooper Robert J, Culver Joseph, Elwell Clare E, Eggebrecht Adam, Franceschini Maria A, Grova Christophe, Homae Fumitaka, Lesage Frédéric, Obrig Hellmuth, Tachtsidis Ilias, Tak Sungho, Tong Yunjie, Torricelli Alessandro, Wabnitz Heidrun, Wolf Martin
Boston University, Neurophotonics Center, Biomedical Engineering, Boston, Massachusetts, United States.
Massachusetts General Hospital, Harvard Medical School, MGH/HST Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Charlestown, Massachusetts, United States.
Neurophotonics. 2021 Jan;8(1):012101. doi: 10.1117/1.NPh.8.1.012101. Epub 2021 Jan 7.
The application of functional near-infrared spectroscopy (fNIRS) in the neurosciences has been expanding over the last 40 years. Today, it is addressing a wide range of applications within different populations and utilizes a great variety of experimental paradigms. With the rapid growth and the diversification of research methods, some inconsistencies are appearing in the way in which methods are presented, which can make the interpretation and replication of studies unnecessarily challenging. The Society for Functional Near-Infrared Spectroscopy has thus been motivated to organize a representative (but not exhaustive) group of leaders in the field to build a consensus on the best practices for describing the methods utilized in fNIRS studies. Our paper has been designed to provide guidelines to help enhance the reliability, repeatability, and traceability of reported fNIRS studies and encourage best practices throughout the community. A checklist is provided to guide authors in the preparation of their manuscripts and to assist reviewers when evaluating fNIRS papers.
在过去40年里,功能近红外光谱技术(fNIRS)在神经科学领域的应用一直在不断扩展。如今,它正在不同人群中应用于广泛的领域,并采用了各种各样的实验范式。随着研究方法的迅速增长和多样化,在方法呈现方式上出现了一些不一致之处,这可能会使研究的解释和重复变得不必要地具有挑战性。因此,功能近红外光谱学会促使该领域的一组有代表性(但非详尽无遗)的领导者达成共识,确定描述fNIRS研究中使用的方法的最佳实践。我们的论文旨在提供指导方针,以帮助提高所报告的fNIRS研究的可靠性、可重复性和可追溯性,并在整个领域鼓励最佳实践。提供了一份清单,以指导作者准备稿件,并在评估fNIRS论文时协助审稿人。