Though it is often termed ‘subcortical,’ the hippocampus is composed of a folded ‘archicortical’ sheet contiguous with the neocortex. The human hippocampus varies considerably in its internal folding configuration, creating major challenges in interindividual alignment and parcellation into subfields. In this opinion article, we discuss surface-based methods that aim to explicitly model hippocampal folding, similar to methods used in the neocortex, allowing interindividual alignment in an unfolded or flat-mapped 2D space. Such an approach enables detailed morphological characterization, constrains the problem of subfield segmentation, and provides a way to visualize data without occlusions. We argue that, when applied to magnetic resonance imaging (MRI) data, such methods overcome pitfalls of more conventional manual or registration-based subfield segmentation approaches.

虽然它通常被称为“皮层下”，但海马体是由与新皮层相邻的折叠“原皮层”片组成。人类海马的内部折叠结构差异很大，这在个体间排列和分割成子区域方面带来了重大挑战。在这篇观点文章中，我们讨论了旨在明确模拟海马折叠的基于表面的方法，类似于新皮质中使用的方法，允许在展开或平面映射的 2D 空间中进行个体间对齐。这种方法可以实现详细的形态表征，限制子场分割问题，并提供一种无遮挡可视化数据的方法。我们认为，当应用于磁共振成像 (MRI) 数据时，