State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China.
Beijing Key Laboratory of Brain Imaging and Connectomics, Beijing Normal University, Beijing, China.
Nat Hum Behav. 2022 Oct;6(10):1417-1429. doi: 10.1038/s41562-022-01371-1. Epub 2022 Jun 2.
Functional neuroimaging techniques have been widely used to probe the neural substrates of facial emotion processing in healthy people. However, findings are largely inconsistent across studies. Here, we introduce a new technique termed activation network mapping to examine whether heterogeneous functional magnetic resonance imaging findings localize to a common network for emotion processing. First, using the existing method of activation likelihood estimation meta-analysis, we showed that individual-brain-based reproducibility was low across studies. Second, using activation network mapping, we found that network-based reproducibility across these same studies was higher. Validation analysis indicated that the activation network mapping-localized network aligned with stimulation sites, structural abnormalities and brain lesions that disrupt facial emotion processing. Finally, we verified the generality of the activation network mapping technique by applying it to another cognitive process, that is, rumination. Activation network mapping may potentially be broadly applicable to localize brain networks of cognitive functions.
功能神经影像学技术已被广泛用于探究健康人群中面部情绪处理的神经基础。然而，研究结果在很大程度上不一致。在这里，我们引入了一种新的技术，称为激活网络映射，以检查不同的功能磁共振成像结果是否定位于情绪处理的共同网络。首先，使用现有的激活似然估计荟萃分析方法，我们表明，跨研究的个体大脑内的再现性较低。其次，使用激活网络映射，我们发现这些相同研究的基于网络的再现性更高。验证分析表明，激活网络映射定位的网络与刺激部位、结构异常和破坏面部情绪处理的脑损伤一致。最后，我们通过将其应用于另一个认知过程，即沉思，验证了激活网络映射技术的通用性。激活网络映射可能具有广泛的适用性，可以定位认知功能的大脑网络。
