Rigor and replication in time-frequency analyses of cognitive electrophysiology data
Rigor and replication in time-frequency analyses of cognitive electrophysiology data
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DOI：
10.1016/j.ijpsycho.2016.02.001
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发表时间：
2017-01-01
影响因子：
3
通讯作者：
Cohen, Michael X.
中科院分区：
文献类型：
--
作者：
Cohen, Michael X.
认知电生理学是神经科学的一个分支，专注于将脑电/脑电图数据与认知的各个方面以及产生这些数据的神经生理过程联系起来。这个领域在发现、数据和数据分析方法的新颖性和复杂性方面正在增长。与此同时，现代科学的许多领域正在经历一场“可复制危机”，这引发了关于最佳实践的讨论，以产生可靠和可复制的研究。本文的目的是促进这一讨论，特别关注认知电生理学。提出的问题比解决的问题要多。提出了一些建议，包括(1)将重复实验纳入新的实验中，(2)编写明确的方法和结果部分，以及(3)公布无效结果。(C) 2016 Elsevier B.V.版权所有
Cognitive electrophysiology is a subfield of neuroscience that focused on linking M/EEG data to aspects of cognition and the neurophysiological processes that produce them. This field is growing in terms of the novelty and sophistication of findings, data, and data analysis methods. Simultaneously, many areas of modern sciences are experiencing a "replication crisis," prompting discussions of best practices to produce robust and replicable research. The purpose of this paper is to contribute to this discussion with a particular focus on cognitive electrophysiology. More issues are raised than are answered. Several recommendations are made, including (1) incorporate replications into new experiments, (2) write clear Methods and Results sections, and (3) publish null results. (C) 2016 Elsevier B.V. All rights reserved.