【摘要】 脑电(Electroencephalography,EEG)和功能磁共振(Functional magnetic resonance imaging,fMRI)技术的结合,可以实现两者优势的互补,获得更加合理的源定位结果。本文报道的是一种将fMRI先验信息结合到脑电源定位中的新方法。在该方法中,先利用SPM方法计算获得fMRI的统计映射参数,然后将基于计算获得的统计参数构造的权矩阵结合到FOCUSS的迭代过程中,对脑电的反演提供具有fMRI先验空间位置信息的约束,提高脑电的源空间定位精度,从而获得更加合理的定位结果。通过对一形状知觉实验fMRI和脑电数据的结合定位分析,结果初步证实了改进方法能获得和生理更加一致的结果。更多还原

【Abstract】 The sources generating the scalp recordings can be more precisely estimated with the use of fMRI priors.In this paper,an improved source localization algorithm which combines the fMRI priors into the iteration procedure of FOCUSS is presented.The modified algorithm consists of three steps: Firstly,the statistical parameters of fMRI are estimated with the ruler of SPM;Secondly,a diagonal weight matrix is constructed with the estimated parameters;Finally,the weight matrix is integrated into the iteration procedure of FOCUSS.The method was used to localize the EEG sources in the form discrimination experiments,where the fMRI and EEG were recorded,and the results preliminarily confirmed the validity of method.更多还原