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基于 fMRI 的 ERP 源分析在熟悉面孔加工中的应用。

ERP Source Analysis Guided by fMRI During Familiar Face Processing.

机构信息

The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, China.

Cuban Center for Neuroscience, CNEURO, Ave 25 # 15202, esq. A 158 Cubanacan, CP-11600 apartado 6412-6414, Havana, Cuba.

出版信息

Brain Topogr. 2019 Jul;32(4):720-740. doi: 10.1007/s10548-018-0619-x. Epub 2018 Feb 20.

Abstract

Event related potentials (ERPs) provide precise temporal information about cognitive processing, but with poor spatial resolution, while functional magnetic resonance imaging (fMRI) reliably identifies brain areas involved, but with poor temporal resolution. Here we use fMRI to guide source localization of the ERPs at different times for studying the temporal dynamics of the neural system for recognizing familiar faces. fMRI activation areas were defined in a previous experiment applying the same paradigm used for ERPs. The Bayesian model averaging (BMA) method was used to estimate the generators of the ERPs to unfamiliar, visually familiar, and personally-familiar faces constraining the model by fMRI activation results. For this, higher prior probabilities in the solution space were assigned to the fMRI-defined regions, which included face-selective areas and other areas related to "person knowledge" retrieval. Source analysis was carried out in three-time windows: early (150-210 ms), middle (300-380 ms) and late (460-580 ms). The early and middle responses were generated in fMRI-defined areas for all face categories, while these areas do not contribute to the late response. Different areas contributed to the generation of the early and middle ERPs elicited by unfamiliar faces: fusiform (Fus), inferior occipital, superior temporal sulcus and the posterior cingulate (PC) cortices. For familiar faces, the contributing areas were Fus, PC and anterior temporal areas for visually familiar faces, with the addition of the medial orbitofrontal areas and other frontal structures for personally-significant faces. For both unfamiliar and familiar faces, more extended and reliable involvement of contributing areas were obtained for the middle compare with early time window. Our fMRI guide ERP source analysis suggested the recruitment of person-knowledge processing areas as early as 150-210 ms after stimulus onset during recognition of personally-familiar faces. We concluded that fMRI-constrained BMA source analysis provide information regarding the temporal-dynamics in the neural system for cognitive processsing.

摘要

事件相关电位(ERPs)提供了关于认知加工的精确时间信息,但空间分辨率较差,而功能磁共振成像(fMRI)可靠地识别参与的脑区,但时间分辨率较差。在这里,我们使用 fMRI 来引导 ERPs 在不同时间的源定位,以研究识别熟悉面孔的神经网络的时间动态。fMRI 激活区域是在应用与 ERPs 相同范式的先前实验中定义的。贝叶斯模型平均(BMA)方法用于在 fMRI 激活结果的约束下估计不熟悉、视觉熟悉和个人熟悉面孔的 ERPs 的发生器。为此,解决方案空间中的更高先验概率被分配给 fMRI 定义的区域,这些区域包括选择性面孔区域和与“个人知识”检索相关的其他区域。源分析在三个时间窗口中进行:早期(150-210 毫秒)、中期(300-380 毫秒)和晚期(460-580 毫秒)。早期和中期反应是在所有面孔类别中在 fMRI 定义的区域中产生的,而这些区域对晚期反应没有贡献。不同的区域对不熟悉面孔引起的早期和中期 ERP 的产生有贡献:梭状回(Fus)、下顶叶、上颞叶和后扣带(PC)皮质。对于熟悉的面孔,贡献区域是 Fus、PC 和前颞叶区域,对于视觉熟悉的面孔,内侧眶额区域和其他额叶结构增加,对于个人重要的面孔。对于不熟悉和熟悉的面孔,与早期时间窗口相比,中间时间窗口获得了更广泛和可靠的贡献区域参与。我们的 fMRI 引导 ERP 源分析表明,在个人熟悉面孔的识别过程中,刺激后 150-210 毫秒,就已经开始招募与个人知识处理相关的区域。我们得出结论,fMRI 约束的 BMA 源分析提供了关于认知处理的神经网络时间动态的信息。

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