BrainsCAN, Western Interdisciplinary Research Building (WIRB), University of Western Ontario, Rm 3190, London, ON, N6A 3K7, Canada.
Center for Medical Image Science and Visualization (CMIV), Linköping University/US, 581 85, Linköping, Sweden.
Brain Topogr. 2021 Sep;34(5):598-607. doi: 10.1007/s10548-021-00847-z. Epub 2021 May 10.
The current state of label conventions used to describe brain networks related to executive functions is highly inconsistent, leading to confusion among researchers regarding network labels. Visually similar networks are referred to by different labels, yet these same labels are used to distinguish networks within studies. We performed a literature review of fMRI studies and identified nine frequently-used labels that are used to describe topographically or functionally similar neural networks: central executive network (CEN), cognitive control network (CCN), dorsal attention network (DAN), executive control network (ECN), executive network (EN), frontoparietal network (FPN), working memory network (WMN), task positive network (TPN), and ventral attention network (VAN). Our aim was to meta-analytically determine consistency of network topography within and across these labels. We hypothesized finding considerable overlap in the spatial topography among the neural networks associated with these labels. An image-based meta-analysis was performed on 158 group-level statistical maps (SPMs) received from authors of 69 papers listed on PubMed. Our results indicated that there was very little consistency in the SPMs labeled with a given network name. We identified four clusters of SPMs representing four spatially distinct executive function networks. We provide recommendations regarding label nomenclature and propose that authors looking to assign labels to executive function networks adopt this template set for labeling networks.
目前用于描述与执行功能相关的脑网络的标签约定高度不一致,导致研究人员对网络标签感到困惑。视觉上相似的网络使用不同的标签来表示,而这些相同的标签用于区分研究中的网络。我们对 fMRI 研究进行了文献回顾,确定了九个常用于描述拓扑或功能相似神经网络的标签:中央执行网络(CEN)、认知控制网络(CCN)、背侧注意网络(DAN)、执行控制网络(ECN)、执行网络(EN)、额顶网络(FPN)、工作记忆网络(WMN)、任务正性网络(TPN)和腹侧注意网络(VAN)。我们的目的是通过元分析确定这些标签内和标签间的网络拓扑一致性。我们假设与这些标签相关的神经网络在空间拓扑上存在相当大的重叠。对从在 PubMed 上列出的 69 篇论文的作者那里收到的 158 个组水平统计图(SPM)进行了基于图像的元分析。我们的结果表明,用给定的网络名称标记的 SPM 之间几乎没有一致性。我们确定了四个 SPM 簇,代表四个空间上不同的执行功能网络。我们提供了关于标签命名法的建议,并建议希望为执行功能网络分配标签的作者采用此模板集来标记网络。