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Source-based neurofeedback methods using EEG recordings: training altered brain activity in a functional brain source derived from blind source separation

机译:使用脑电图记录的基于源的神经反馈方法:在源自盲源分离的功能性脑源中训练改变的大脑活动

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摘要

A developing literature explores the use of neurofeedback in the treatment of a range of clinical conditions, particularly ADHD and epilepsy, whilst neurofeedback also provides an experimental tool for studying the functional significance of endogenous brain activity. A critical component of any neurofeedback method is the underlying physiological signal which forms the basis for the feedback. While the past decade has seen the emergence of fMRI-based protocols training spatially confined BOLD activity, traditional neurofeedback has utilized a small number of electrode sites on the scalp. As scalp EEG at a given electrode site reflects a linear mixture of activity from multiple brain sources and artifacts, efforts to successfully acquire some level of control over the signal may be confounded by these extraneous sources. Further, in the event of successful training, these traditional neurofeedback methods are likely influencing multiple brain regions and processes. The present work describes the use of source-based signal processing methods in EEG neurofeedback. The feasibility and potential utility of such methods were explored in an experiment training increased theta oscillatory activity in a source derived from Blind Source Separation (BSS) of EEG data obtained during completion of a complex cognitive task (spatial navigation). Learned increases in theta activity were observed in two of the four participants to complete 20 sessions of neurofeedback targeting this individually defined functional brain source. Source-based EEG neurofeedback methods using BSS may offer important advantages over traditional neurofeedback, by targeting the desired physiological signal in a more functionally and spatially specific manner. Having provided preliminary evidence of the feasibility of these methods, future work may study a range of clinically and experimentally relevant brain processes where individual brain sources may be targeted by source-based EEG neurofeedback.
机译:不断发展的文献探讨了神经反馈在治疗一系列临床疾病(尤其是多动症和癫痫)中的用途,而神经反馈还为研究内源性大脑活动的功能意义提供了实验工具。任何神经反馈方法的关键组成部分都是构成反馈基础的潜在生理信号。在过去的十年中,出现了基于fMRI的协议来训练空间受限的BOLD活动,传统的神经反馈已经在头皮上利用了少数电极部位。由于在给定电极部位的头皮脑电图反映了来自多个大脑来源和人工产物的活动的线性混合,因此,这些无关的来源可能会使成功地对信号进行某种程度的控制的努力感到困惑。此外,在成功训练的情况下,这些传统的神经反馈方法可能会影响多个大脑区域和过程。本工作描述了在EEG神经反馈中基于源的信号处理方法的使用。在实验训练中探索了这种方法的可行性和潜在实用性,该实验训练了在完成复杂的认知任务(空间导航)过程中获得的脑电图数据的盲源分离(BSS)源中增加的theta振荡活动。在四个参与者中的两个参与者中观察到学习到的theta活性增加,从而完成了针对该单独定义的功能性脑源的20次神经反馈。使用BSS的基于源的EEG神经反馈方法,可以通过以功能和空间上更特定的方式靶向所需的生理信号,提供优于传统神经反馈的重要优势。在提供了这些方法的可行性的初步证据之后,未来的工作可能会研究一系列临床和实验相关的大脑过程,其中基于来源的EEG神经反馈可以靶向单个大脑来源。

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