这篇文章介绍了一个名为 HippoMaps 的开放获取工具箱和在线数据仓库，旨在为人类海马体提供多尺度绘图和背景化分析。HippoMaps 利用统一的海马体展开方法和形状内在配准能力，聚合了来自不同模态和尺度的海马数据，包括 3D离体组织学、超高场 MRI（9.4-T 和 7-T）、体内结构和静息态功能MRI，以及癫痫患者的 颅内脑电图 (iEEG) 记录。这项工作旨在提供一个标准化的框架，以比较不同方法得出的海马特征，探索结构与功能的关系，并将临床发现与公认的海马亚区组织原则进行比对。通过对所有聚合数据进行 维度缩减分析，研究发现海马体的组织结构主要由近端-远端（与亚区相关）和 前部-后部 两个轴向梯度来解释。References: DeKraker J, Cabalo D G, Royer J, et al. HippoMaps: Multiscale cartography of human hippocampal organization[J]. Nature Methods, 2025: 1-12.
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