Department of Psychology, Carnegie Mellon University, Pittsburgh, PA 15213, USA.
Proc Natl Acad Sci U S A. 2013 Jan 29;110(5):1628-33. doi: 10.1073/pnas.1221572110. Epub 2013 Jan 14.
In this study, we used model-based functional MRI (fMRI) to locate two functions of the fronto-parietal network: declarative memory retrievals and updating of working memory. Because regions in the fronto-parietal network are by definition coherently active, locating functions within this network is difficult. To overcome this problem, we applied model-based fMRI, an analysis method that uses predictions of a computational model to inform the analysis. We applied model-based fMRI to five previously published datasets with associated computational cognitive models, and subsequently integrated the results in a meta-analysis. The meta-analysis showed that declarative memory retrievals correlated with activity in the inferior frontal gyrus and the anterior cingulate, whereas updating of working memory corresponded to activation in the inferior parietal lobule, as well as to activation around the inferior frontal gyrus and the anterior cingulate.
在这项研究中，我们使用基于模型的功能磁共振成像（fMRI）来定位额顶网络的两个功能：陈述性记忆检索和工作记忆更新。由于额顶网络中的区域根据定义是一致活跃的，因此在这个网络中定位功能是很困难的。为了克服这个问题，我们应用了基于模型的 fMRI，这是一种分析方法，使用计算模型的预测来为分析提供信息。我们将基于模型的 fMRI 应用于五个具有相关计算认知模型的已发表数据集，并随后在元分析中整合了结果。元分析表明，陈述性记忆检索与下额回和前扣带回的活动相关，而工作记忆的更新则与下顶叶以及下额回和前扣带回周围的活动相关。
