Department of Bioengineering, University of Washington, Seattle, WA 98195, USA.
Proc Natl Acad Sci U S A. 2013 Jun 25;110(26):10818-23. doi: 10.1073/pnas.1221127110. Epub 2013 Jun 10.
The majority of subjects who attempt to learn control of a brain-computer interface (BCI) can do so with adequate training. Much like when one learns to type or ride a bicycle, BCI users report transitioning from a deliberate, cognitively focused mindset to near automatic control as training progresses. What are the neural correlates of this process of BCI skill acquisition? Seven subjects were implanted with electrocorticography (ECoG) electrodes and had multiple opportunities to practice a 1D BCI task. As subjects became proficient, strong initial task-related activation was followed by lessening of activation in prefrontal cortex, premotor cortex, and posterior parietal cortex, areas that have previously been implicated in the cognitive phase of motor sequence learning and abstract task learning. These results demonstrate that, although the use of a BCI only requires modulation of a local population of neurons, a distributed network of cortical areas is involved in the acquisition of BCI proficiency.
大多数试图学习脑机接口(BCI)控制的受试者,在经过充分的训练后,都能够做到这一点。就像人们学习打字或骑自行车一样,随着训练的进行,BCI 用户报告从刻意的、注重认知的心态转变为近乎自动的控制。那么,BCI 技能习得的神经相关物是什么呢?七名受试者被植入了皮层脑电图(ECoG)电极,并多次有机会练习一维 BCI 任务。随着受试者变得熟练,最初与任务相关的强烈激活之后,前额叶皮层、运动前皮层和后顶叶皮层的激活减少,这些区域以前与运动序列学习和抽象任务学习的认知阶段有关。这些结果表明,尽管使用 BCI 只需要调制局部神经元群体,但涉及皮层区域的分布式网络参与了 BCI 熟练程度的获得。