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Exploring the relationship between N170's amplitudes and the activation of the picture visual stimuli using general linear model

机译:探索N170幅度与普通线性模型的振幅与图像视觉刺激的激活关系

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Many studies have reported that discrete cortical areas in the ventral temporal cortex of humans were correlated with the perception of pictures visual stimuli. Moreover, event-related potentials caused by different kinds of picture stimuli showed different amplitude levels of Nl 70 which was maximal over occipito-temporal electrode sites. However, the phenomenon which is mentioned above may be correlated with some local bold signal change, and where is the change happened is still unclear. Recently, research for EEG-fMRI has been widely performed through General Linear Model(GLM)to find the relationship between some feature of the ERP component and the activation of local brain area. In our study, we dealt with the simultaneously recorded EEG-fMRI data of picture stimuli to find the correlation between the change of the N170's amplitude and the BOLD signal. The amplitudes of the N170 component from the average ERPs of 4 different kinds of picture stimuli were extracted from the EEG data and the activation map for the same stimuli was provided based on the fMRI data. GLM was performed including regressors that could represent the change of the N170's amplitude. Our result showed that fusiform and occipital gyrus were activated by the parametric design and were overlapped by the activation map of the common fMRI design. Thus we might infer that these regions had relationship with the change of the amplitudes of N170. Our research may contribute to location of the source of N170 and bring a new approach for the parameter design of the fMRI signal in EEG-fMRI analysis.
机译:许多研究报告说,人类腹侧颞型皮质中的离散皮质区域与图片视觉刺激的感知相关。此外,由不同种类的图像刺激引起的事件相关电位显示出不同振幅水平的NL 70,其在枕颞电极位点上最大。然而,上面提到的现象可以与一些局部粗体信号变化相关,并且发生的变化在哪里尚不清楚。最近,通过一般线性模型(GLM)已广泛进行EEG-FMRI的研究,以找到ERP组件的某些特征与当地脑区域的激活之间的关系。在我们的研究中,我们处理图片刺激的同时记录的EEG-FMRI数据,以找到N170的幅度和粗体信号之间的相关性之间的相关性。从EEG数据提取来自4种不同图像刺激的平均ERP的N170组分的幅度,并且基于FMRI数据提供了相同刺激的激活图​​。 GLM是在进行的,包括可以代表N170的幅度的变化的回归。我们的结果表明,参数化设计激活了梭形和枕膜,通过共同的FMRI设计的激活图重叠。因此,我们可能会推断这些区域与N170的幅度的变化具有关系。我们的研究可能有助于N170源的位置,并为EEG-FMRI分析中的FMRI信号参数设计带来了一种新方法。

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