论文标题
将单个大脑与融合不平衡的Gromov-Wasserstein结盟
Aligning individual brains with Fused Unbalanced Gromov-Wasserstein
论文作者
论文摘要
即使在给定的物种中，单个大脑在解剖结构和功能组织中也有所不同。当试图从受试者组收集的神经影像数据中得出可概括的结论时，个体间的可变性是一个主要障碍。当前的共同注册程序依赖于有限的数据，从而导致非常粗糙的主体间比对。在这项工作中，我们提出了一种基于最佳运输的新型方法，以融合不平衡的Gromov Wasserstein（FUGW）为基础。该方法根据其功能特征的相似性来对齐皮质表面，以响应各种刺激设置，同时惩罚了单个地形组织的大变形。我们证明了FUGW非常适合全脑区地标对齐。不平衡的功能使功能区域的大小各不相同。我们的结果表明，FUGW对准显着增加了独立功能数据的活动间相关性，并导致在组级别上更精确的映射。
Individual brains vary in both anatomy and functional organization, even within a given species. Inter-individual variability is a major impediment when trying to draw generalizable conclusions from neuroimaging data collected on groups of subjects. Current co-registration procedures rely on limited data, and thus lead to very coarse inter-subject alignments. In this work, we present a novel method for inter-subject alignment based on Optimal Transport, denoted as Fused Unbalanced Gromov Wasserstein (FUGW). The method aligns cortical surfaces based on the similarity of their functional signatures in response to a variety of stimulation settings, while penalizing large deformations of individual topographic organization. We demonstrate that FUGW is well-suited for whole-brain landmark-free alignment. The unbalanced feature allows to deal with the fact that functional areas vary in size across subjects. Our results show that FUGW alignment significantly increases between-subject correlation of activity for independent functional data, and leads to more precise mapping at the group level.
