Kirchner Elsa A, Kim Su Kyoung
Robotics Lab, University of Bremen, Bremen, Germany.
Robotics Innovation Center, German Research Center for Artificial Intelligence (DFKI), Bremen, Germany.
Front Neurosci. 2018 Mar 27;12:188. doi: 10.3389/fnins.2018.00188. eCollection 2018.
Event-related potentials (ERPs) are often used in brain-computer interfaces (BCIs) for communication or system control for enhancing or regaining control for motor-disabled persons. Especially results from single-trial EEG classification approaches for BCIs support correlations between single-trial ERP detection performance and ERP expression. Hence, BCIs can be considered as a paradigm shift contributing to new methods with strong influence on both neuroscience and clinical applications. Here, we investigate the relevance of the choice of training data and classifier transfer for the interpretability of results from single-trial ERP detection. In our experiments, subjects performed a visual-motor oddball task with motor-task relevant infrequent (), motor-task irrelevant infrequent (), and motor-task irrelevant frequent () stimuli. Under condition, a secondary senso-motor task was performed, compared to the condition. For evaluation, average ERP analysis and single-trial detection analysis with different numbers of electrodes were performed. Further, classifier transfer was investigated between simple and dual task. Parietal positive ERPs evoked by stimuli (but not by deviants) were expressed stronger under dual-task condition, which is discussed as an increase of task emphasis and brain processes involved in task coordination and change of task set. Highest classification performance was found for irrespective whether all 62, 6 or 2 parietal electrodes were used. Further, higher detection performance of compared to was achieved under compared to condition in case of training on data from 2 parietal electrodes corresponding to results of ERP average analysis. Classifier transfer between tasks improves classification performance in case that training took place on more varying examples (from dual task). In summary, we showed that P300 and overlaying parietal positive ERPs can successfully be detected while subjects are performing additional ongoing motor activity. This supports single-trial detection of ERPs evoked by target events to, e.g., infer a patient's attentional state during therapeutic intervention.
事件相关电位(ERP)常用于脑机接口(BCI)中进行通信或系统控制,以增强或恢复运动功能障碍者的控制能力。特别是BCI的单试次脑电图分类方法的结果支持了单试次ERP检测性能与ERP表达之间的相关性。因此,BCI可被视为一种范式转变,为对神经科学和临床应用都有重大影响的新方法做出了贡献。在此,我们研究了训练数据的选择和分类器转移对单试次ERP检测结果可解释性的相关性。在我们的实验中,受试者执行了一个视觉运动Oddball任务,其中包括与运动任务相关的低频刺激、与运动任务无关的低频刺激和与运动任务无关的高频刺激。在条件下,与条件相比,执行了一个二级感觉运动任务。为了进行评估,进行了不同电极数量的平均ERP分析和单试次检测分析。此外,还研究了简单任务和双重任务之间的分类器转移。在双重任务条件下,刺激(而非偏差刺激)诱发的顶叶正ERP表达更强,这被认为是任务重点的增加以及参与任务协调和任务集变化的大脑过程的增加。无论使用全部62个、6个还是2个顶叶电极,都发现对于刺激的分类性能最高。此外,在对应于ERP平均分析结果的2个顶叶电极的数据上进行训练的情况下,与条件相比,在条件下刺激的检测性能更高。如果在更多不同的示例(来自双重任务)上进行训练,任务之间的分类器转移会提高分类性能。总之,我们表明在受试者执行额外的正在进行的运动活动时,可以成功检测到P300和叠加的顶叶正ERP。这支持了对目标事件诱发的ERP进行单试次检测,例如在治疗干预期间推断患者的注意力状态。