Department of Psychology, Karl-Franzens-University Graz Graz, Austria ; BioTechMed Graz, Austria.
Front Syst Neurosci. 2014 Sep 29;8:171. doi: 10.3389/fnsys.2014.00171. eCollection 2014.
Aiming at a better specification of the concept of "control" in brain-computer-interfaces (BCIs) and neurofeedback (NF) research, we propose to distinguish "self-control of brain activity" from the broader concept of "BCI control", since the first describes a neurocognitive phenomenon and is only one of the many components of "BCI control". Based on this distinction, we developed a framework based on dual-processes theory that describes the cognitive determinants of self-control of brain activity as the interplay of automatic vs. controlled information processing. Further, we distinguish between cognitive processes that are necessary and sufficient to achieve a given level of self-control of brain activity and those which are not. We discuss that those cognitive processes which are not necessary for the learning process can hamper self-control because they cannot be completely turned-off at any time. This framework aims at a comprehensive description of the cognitive determinants of the acquisition of self-control of brain activity underlying those classes of BCI which require the user to achieve regulation of brain activity as well as NF learning.
为了更好地定义脑机接口 (BCI) 和神经反馈 (NF) 研究中“控制”的概念，我们建议将“大脑活动的自我控制”与更广泛的“BCI 控制”概念区分开来，因为前者描述了一种神经认知现象，只是“BCI 控制”的众多组成部分之一。基于这一区分，我们基于双加工理论开发了一个框架，将大脑活动自我控制的认知决定因素描述为自动信息处理与受控信息处理的相互作用。此外，我们还区分了实现给定水平的大脑活动自我控制所必需和充分的认知过程与那些不必要的认知过程。我们认为，那些对于学习过程不是必需的认知过程会阻碍自我控制，因为它们不能在任何时候完全关闭。该框架旨在全面描述作为那些需要用户实现大脑活动调节以及 NF 学习的 BCI 类别的基础的大脑活动自我控制的获得的认知决定因素。
