On the Semi-Automatic Processing Characteristic of MMN
1 Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian 116024, Liaoning, China
2 Affiliated Zhongshan Hospital of Dalian University, Dalian 116001, Liaoning, China
Abstract：Whether MMN is regulated by attention has been a debate in the MMN research field. There are few experimental paradigms which could control the attention allocation between the attended and unattended channels. Moreover, there is no index to reflect the subtle fluctuation of attention resource of the subjects. The diffusion model is one kind of cognitive process models, to reveal the potential neural processing mechanism based on the behavior data such as reaction time and accuracy of the task. Therefore, this paper developed a new crossmodal and delayed response experimental paradigm to better control subjects′ attention resources. Then the parameters fitted by the diffusion model were used to establish the relationship between the MMN and the attention. Experimental results showed that the parameters fitted by the diffusion model using behavior data could explain the underlying decision processes under different conditions on the subjects′ attention. As a result, the method could quantitatively determine the subjects′ attention. Meanwhile, we also found that the variation of the MMN peak latency was affected by variations in task difficulty and had a significant correlation with attentionrelated parameters of diffusion model: the correlation coefficient r between the MMN peak latency and b, v and tERwere 0.63, 0.63 and 0.58 respectively. This proves that the parameters of the diffusion model can be used as an index of the subjects′ attention resource allocation, and MMN peak latency is positively correlated with intensity of attention. Therefore, we consider that the MMN reflects a semiautomatic process.
刘蓉1*林少非1 王永轩2 孙玉彤1. 失匹配负波半自动加工性质的研究[J]. 中国生物医学工程学报, 2016, 35(1): 31-37.
Liu Rong1* Lin Shaofei1 Wang Yongxuan2 Sun Yutong1. On the Semi-Automatic Processing Characteristic of MMN. journal1, 2016, 35(1): 31-37.
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