再认记忆的事件相关电位多域特征值研究

发布时间：2018-05-06 02:34

本文选题：事件相关电位 + 非负张量分解　；参考：《西安交通大学学报》2014年02期

【摘要】：为了更好地了解再认记忆状态下的事件相关电位(ERP)在时域、频域和空间域的性质,与传统的ERP信号特征提取方法往往都局限于时域特征不同,该研究采用非负张量分解(NTF)技术,提取再认记忆实验中与"Old"和"New"刺激相关的ERP的多域特征值。多域特征值是从多个导联ERP信号的时频转换中提取的,因此可以同时反映ERP在时域、频域和空间域上的性质。研究结果发现,多域特征值可以明显地反映出不同刺激类型下ERP信号的差异,与额区新旧效应相关的FN400在"New"刺激下的多域特征值显著大于"Old"刺激下的,与顶区新旧效应相关的P600在"Old"刺激下的多域特征值显著大于"New"刺激下的,说明多域特征值能很好地用于区分和识别再认记忆中的新旧刺激,这不仅为再认记忆的研究提供了一个新方法,而且为基于ERP的认知功能研究提供了新的思路和途径。
[Abstract]:In order to better understand the properties of ERP in time domain, frequency domain and spatial domain, different from the traditional feature extraction methods of ERP signal, the non-negative Zhang Liang decomposition technique is used in this study. The multidomain eigenvalues of ERP associated with "Old" and "New" stimuli were extracted in recognition memory experiments. Multi-domain eigenvalues are extracted from time-frequency conversion of multi-lead ERP signals, so the properties of ERP in time domain, frequency domain and spatial domain can be simultaneously reflected. The results show that the multidomain eigenvalues can obviously reflect the difference of ERP signals under different stimuli, and the multidomain eigenvalues of FN400 associated with the new and old frontal region effects are significantly larger than those stimulated by "Old". The multidomain eigenvalues of P600 associated with the new and old effects in the parietal region were significantly higher than those stimulated by "Old", indicating that the multi-domain eigenvalues could be used to distinguish and identify the old and new stimuli in recognition memory. This not only provides a new method for the study of recognition memory, but also provides a new way for the study of cognitive function based on ERP.
【作者单位】：西安交通大学生物医学信息工程教育部重点实验室;
【基金】：国家自然科学基金资助项目(31271061) 中央高校基本科研业务费专项资金资助项目(xjj20100185,xjj20100047)
【分类号】：R338

【参考文献】