Department of Psychology I, University of Würzburg, Würzburg, Germany.
Biol Psychol. 2012 Jan;89(1):80-6. doi: 10.1016/j.biopsycho.2011.09.006. Epub 2011 Sep 29.
After about 30 years of research on Brain-Computer Interfaces (BCIs) there is little knowledge about the phenomenon, that some people - healthy as well as individuals with disease - are not able to learn BCI-control. To elucidate this "BCI-inefficiency" phenomenon, the current study investigated whether psychological parameters, such as attention span, personality or motivation, could predict performance in a single session with a BCI controlled by modulation of sensorimotor rhythms (SMR) with motor imagery.
A total of N=83 healthy BCI novices took part in the session. Psychological parameters were measured with an electronic test-battery including clinical, personality and performance tests. Predictors were determined by binary logistic regression analyses.
The output variable of the Two-Hand Coordination Test (2HAND) "overall mean error duration" which is a measure for the accuracy of fine motor skills accounted for 11% of the variance in BCI-inefficiency. The Attitudes Towards Work (AHA) test variable "performance level" which can be interpreted as a degree of concentration and a neurophysiological SMR predictor were also identified as significant predictors of SMR BCI performance.
Psychological parameters as measured in this study play a moderate role for one-session performance in a BCI controlled by modulation of SMR.
经过大约 30 年的脑机接口(BCI)研究,人们对一些人——包括健康人和患有疾病的人——无法学习 BCI 控制的现象知之甚少。为了阐明这种“BCI 效率低下”的现象,本研究调查了心理参数,如注意力持续时间、个性或动机,是否可以预测使用基于运动想象的感觉运动节律(SMR)调制控制的 BCI 的单次会话中的表现。
共有 83 名健康的 BCI 新手参加了该课程。使用包括临床、人格和绩效测试在内的电子测试组合来测量心理参数。通过二元逻辑回归分析确定预测因素。
作为精细运动技能准确性的衡量标准的双手协调测试(2HAND)“整体平均误差持续时间”的输出变量占 BCI 效率低下的 11%。可以解释为注意力集中程度的工作态度(AHA)测试变量“绩效水平”以及作为神经生理 SMR 预测因子的变量,也被确定为 SMR BCI 性能的显著预测因子。
本研究中测量的心理参数在基于 SMR 调制控制的 BCI 的单次会话性能中起着中等作用。