从20世纪初开始,人脑功能的心理生理学研究包括对脑电信号和磁信号的频谱特性的研究。现在,数字信号处理的巨大进步,生物物理学,和计算机科学为神经时间序列分析提供了越来越复杂的方法。硬件和记录技术的创新进一步扩大了对测量感兴趣的研究人员可用的工具范围,量化,建模,并改变神经时间序列的频谱特性。这些工具越来越多地用于该领域,越来越多的研究人员在他们的训练中各不相同,背景,和研究兴趣。实施和报告标准在已发表的文献中也有很大差异,给作者带来挑战,读者,审稿人,和编辑一样。本报告通过提供使用这些方法的建议来解决这一问题,专注于频域和时频分析的基础方面。它还提供了出版指南,其目的是(1)促进复制和科学严谨,(2)协助希望进入大脑振荡领域的新研究人员,(3)促进作者之间的交流,审稿人,和编辑。
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.