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将脑机接口和脑状态依赖刺激作为认知神经科学中的工具。

Using brain-computer interfaces and brain-state dependent stimulation as tools in cognitive neuroscience.

作者信息

Jensen Ole, Bahramisharif Ali, Oostenveld Robert, Klanke Stefan, Hadjipapas Avgis, Okazaki Yuka O, van Gerven Marcel A J

机构信息

Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen Netherlands.

出版信息

Front Psychol. 2011 May 27;2:100. doi: 10.3389/fpsyg.2011.00100. eCollection 2011.

Abstract

Large efforts are currently being made to develop and improve online analysis of brain activity which can be used, e.g., for brain-computer interfacing (BCI). A BCI allows a subject to control a device by willfully changing his/her own brain activity. BCI therefore holds the promise as a tool for aiding the disabled and for augmenting human performance. While technical developments obviously are important, we will here argue that new insight gained from cognitive neuroscience can be used to identify signatures of neural activation which reliably can be modulated by the subject at will. This review will focus mainly on oscillatory activity in the alpha band which is strongly modulated by changes in covert attention. Besides developing BCIs for their traditional purpose, they might also be used as a research tool for cognitive neuroscience. There is currently a strong interest in how brain-state fluctuations impact cognition. These state fluctuations are partly reflected by ongoing oscillatory activity. The functional role of the brain state can be investigated by introducing stimuli in real-time to subjects depending on the actual state of the brain. This principle of brain-state dependent stimulation may also be used as a practical tool for augmenting human behavior. In conclusion, new approaches based on online analysis of ongoing brain activity are currently in rapid development. These approaches are amongst others informed by new insight gained from electroencephalography/magnetoencephalography studies in cognitive neuroscience and hold the promise of providing new ways for investigating the brain at work.

摘要

目前人们正在付出巨大努力来开发和改进大脑活动的在线分析方法,这些方法可用于例如脑机接口(BCI)。脑机接口允许受试者通过有意改变自己的大脑活动来控制设备。因此,脑机接口有望成为帮助残疾人以及增强人类能力的工具。虽然技术发展显然很重要,但我们在此将论证,从认知神经科学获得的新见解可用于识别神经激活的特征,这些特征能够可靠地被受试者随意调节。本综述将主要关注α波段的振荡活动,它会受到隐蔽注意力变化的强烈调节。除了将脑机接口用于其传统目的外,它们还可作为认知神经科学的研究工具。目前人们对大脑状态波动如何影响认知有着浓厚兴趣。这些状态波动部分反映在持续的振荡活动中。大脑状态的功能作用可以通过根据大脑的实际状态实时向受试者引入刺激来进行研究。这种大脑状态依赖刺激的原理也可作为增强人类行为的实用工具。总之,基于对持续大脑活动进行在线分析的新方法目前正在迅速发展。这些方法尤其受到认知神经科学中脑电图/脑磁图研究获得的新见解的启发,并有望为研究工作中的大脑提供新途径。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/168a/3108578/17e333354421/fpsyg-02-00100-g001.jpg

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