心算负载任务对事件相关电位信号特征影响的研究

事件相关电位是神经科学研究中重要的一种认知电位,也是脑机接口中常用的特征信号之一。心算任务引起的心理负载能够诱发事件相关电位。常用的信号特征主要为时域波形特征。无法全面分析评估特征特点。研究中设计了三种心算任务,时域上研究诱发的事件相关电位的波形特征,频域上利用格兰杰因果关系分析方法研究任务脑功能网络连接,探讨三种心算任务诱发事件相关电位特征信号的效果和特点。为构建基于ERP特征信号的脑机接口新范式提供理论依据和技术支持。

A study on the effect of ERP features evoked by the mental arithmetical loads

Event related potential(ERP) is an important neuroscience cognitive potential and one of the common input characteristic signal used in BCI system. The mental arithmetic evolves the psychological load which can induce ERP. The standard feature analysis which focuses waveform characteristics on the time-domain can not fully estimate the characteristics of signal features. This paper presents three types of mental arithmetic task. The study explored waveform features of evoked event-related potentials in the time domain as well as applied Granger causality analysis to explore the brain function network connection in the frequency domain. Finally this paper investigated the effect of features characteristic of evoked event-related potentials induced by three mental arithmetic tasks, provided a theoretical basis and a technical support for designing a new paradigm of ERP based brain computer interface.