Department of Psychology, Faculty of Mathematics, Natural Sciences and Information Technologies, University of Primorska, Koper, Slovenia Graduate School of Neural and Behavioural Sciences, University of Tübingen, Germany.
Bosn J Basic Med Sci. 2019 Aug 20;19(3):213-220. doi: 10.17305/bjbms.2018.3785.
Electroencephalographic neurofeedback (EEG-NFB) represents a broadly used method that involves a real-time EEG signal measurement, immediate data processing with the extraction of the parameter(s) of interest, and feedback to the individual in a real-time. Using such a feedback loop, the individual may gain better control over the neurophysiological parameters, by inducing changes in brain functioning and, consequently, behavior. It is used as a complementary treatment for a variety of neuropsychological disorders and improvement of cognitive capabilities, creativity or relaxation in healthy subjects. In this review, various types of EEG-NFB training are described, including training of slow cortical potentials (SCPs) and frequency and coherence training, with their main results and potential limitations. Furthermore, some general concerns about EEG-NFB methodology are presented, which still need to be addressed by the NFB community. Due to the heterogeneity of research designs in EEG-NFB protocols, clear conclusions on the effectiveness of this method are difficult to draw. Despite that, there seems to be a well-defined path for the EEG-NFB research in the future, opening up possibilities for improvement.
脑电图神经反馈(EEG-NFB)是一种广泛应用的方法,它包括实时 EEG 信号测量、即时数据处理以提取感兴趣的参数,以及实时反馈给个体。通过这种反馈循环,个体可以通过诱导大脑功能的变化,从而更好地控制神经生理参数,并相应地改变行为。它被用作各种神经心理障碍的补充治疗方法,以及改善健康受试者的认知能力、创造力或放松度。在这篇综述中,描述了各种类型的 EEG-NFB 训练,包括慢皮层电位(SCPs)和频率和相干性训练,以及它们的主要结果和潜在的局限性。此外,还提出了一些关于 EEG-NFB 方法学的一般性关注问题,这些问题仍需要由 NFB 社区解决。由于 EEG-NFB 方案的研究设计存在异质性,因此很难得出关于该方法有效性的明确结论。尽管如此,未来似乎有一条明确的 EEG-NFB 研究道路,为改进提供了可能性。