CNRS UMR 5229, Institut des Sciences Cognitives Marc-Jeannerod, Université Claude-Bernard Lyon 1, 67, boulevard Pinel, 69675 Bron cedex, France.
CNRS UMR 5229, Institut des Sciences Cognitives Marc-Jeannerod, Université Claude-Bernard Lyon 1, 67, boulevard Pinel, 69675 Bron cedex, France.
Rev Neurol (Paris). 2021 Nov;177(9):1133-1144. doi: 10.1016/j.neurol.2021.08.004. Epub 2021 Oct 19.
In recent years, neurofeedback has been used as a cognitive training tool to improve brain functions for clinical or recreational purposes. It is based on providing participants with feedback about their brain activity and training them to control it, initiating directional changes. The overarching hypothesis behind this method is that this control results in an enhancement of the cognitive abilities associated with this brain activity, and triggers specific structural and functional changes in the brain, promoted by learning and neuronal plasticity effects. Here, we review the general methodological principles behind neurofeedback and we describe its behavioural benefits in clinical and experimental contexts. We review the non-specific effects of neurofeedback on the reinforcement learning striato-frontal networks as well as the more specific changes in the cortical networks on which the neurofeedback control is exerted. Last, we analyse the current challenges faces by neurofeedback studies, including the quantification of the temporal dynamics of neurofeedback effects, the generalisation of its behavioural outcomes to everyday life situations, the design of appropriate controls to disambiguate placebo from true neurofeedback effects and the development of more advanced cortical signal processing to achieve a finer-grained real-time modelling of cognitive functions.
近年来,神经反馈已被用作一种认知训练工具,以改善临床或娱乐目的的大脑功能。它基于向参与者提供有关其大脑活动的反馈,并训练他们控制它,从而引发定向变化。这种方法背后的总体假设是,这种控制导致与这种大脑活动相关的认知能力增强,并通过学习和神经元可塑性效应引发大脑的特定结构和功能变化。在这里,我们回顾了神经反馈背后的一般方法原则,并描述了它在临床和实验环境中的行为益处。我们回顾了神经反馈对强化学习纹状体 - 额叶网络的非特异性影响,以及对施加神经反馈控制的皮质网络的更特异性变化。最后,我们分析了神经反馈研究面临的当前挑战,包括神经反馈效果的时间动态的量化、将其行为结果推广到日常生活情况、设计适当的对照以区分真实的神经反馈效果和更先进的皮质信号处理的发展,以实现对认知功能的更精细的实时建模。