Department and Psychology and Center for the Study of Emotion and Attention, University of Florida, Gainesville, Florida, USA.
Department of Psychology, University of Maryland, College Park, Maryland, USA.
Psychophysiology. 2022 May;59(5):e14052. doi: 10.1111/psyp.14052.
Since its beginnings in the early 20th century, the psychophysiological study of human brain function has included research into the spectral properties of electrical and magnetic brain signals. Now, dramatic advances in digital signal processing, biophysics, and computer science have enabled increasingly sophisticated methodology for neural time series analysis. Innovations in hardware and recording techniques have further expanded the range of tools available to researchers interested in measuring, quantifying, modeling, and altering the spectral properties of neural time series. These tools are increasingly used in the field, by a growing number of researchers who vary in their training, background, and research interests. Implementation and reporting standards also vary greatly in the published literature, causing challenges for authors, readers, reviewers, and editors alike. The present report addresses this issue by providing recommendations for the use of these methods, with a focus on foundational aspects of frequency domain and time-frequency analyses. It also provides publication guidelines, which aim to (1) foster replication and scientific rigor, (2) assist new researchers who wish to enter the field of brain oscillations, and (3) facilitate communication among authors, reviewers, and editors.
自 20 世纪初以来，人类大脑功能的心理生理学研究就包含了对脑电和脑磁信号频谱特性的研究。现在，数字信号处理、生物物理学和计算机科学的巨大进步，使得神经时间序列分析的方法越来越复杂。硬件和记录技术的创新进一步扩展了研究人员测量、量化、建模和改变神经时间序列频谱特性的工具范围。这些工具在该领域得到了越来越多的应用，越来越多的研究人员因其培训、背景和研究兴趣的不同而使用这些工具。在已发表的文献中，实施和报告标准也有很大差异，这给作者、读者、审稿人和编辑都带来了挑战。本报告通过提供这些方法的使用建议来解决这个问题，重点是频率域和时频分析的基础方面。它还提供了出版指南，旨在（1）促进复制和科学严谨性，（2）帮助希望进入脑振荡领域的新研究人员，以及（3）促进作者、审稿人和编辑之间的交流。
