HippoMaps: multiscale cartography of human hippocampal organization

IF 32.1 1区生物学 Q1 BIOCHEMICAL RESEARCH METHODS

Nature Methods Pub Date : 2025-10-01 DOI:10.1038/s41592-025-02783-3

Jordan DeKraker, Donna Gift Cabalo, Jessica Royer, Alexander Ngo, Ali R. Khan, Bradley G. Karat, Oualid Benkarim, Raul Rodriguez-Cruces, Birgit Frauscher, Raluca Pana, Justine Y. Hansen, Bratislav Misic, Sofie L. Valk, Jonathan C. Lau, Matthias Kirschner, Andrea Bernasconi, Neda Bernasconi, Sascha E. A. Muenzing, Markus Axer, Katrin Amunts, Alan C. Evans, Boris C. Bernhardt

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引用次数: 0

Abstract

The hippocampus has a specialized microarchitecture, is situated at the nexus of multiple macroscale functional networks, contributes to numerous cognitive as well as affective processes and is highly susceptible to brain pathology across common disorders. These features make the hippocampus a model to understand how brain structure covaries with function, in both health and disease. Here we introduce HippoMaps, an open access toolbox and online data warehouse for the mapping and contextualization of subregional hippocampal data in the human brain ( http://hippomaps.readthedocs.io ). HippoMaps capitalizes on a unified hippocampal unfolding approach as well as shape intrinsic registration capabilities to allow for cross-participant and cross-modal data aggregation. We initialize this repository with a combination of hippocampal data spanning three-dimensional ex vivo histology, ex vivo 9.4-Tesla magnetic resonance imaging (MRI), as well as in vivo structural MRI and resting-state functional MRI obtained at 3 Tesla and 7 Tesla, together with intracranial encephalography recordings in patients with epilepsy. All code, data and tools are openly available online, with the aim of fostering further community contributions. HippoMaps provides an open-source resource for studying the human hippocampus at different scales and with different modalities such as histology, fMRI, structural MRI and EEG.

Abstract Image

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河马地图：人类海马组织的多尺度制图。

海马体具有特殊的微结构，位于多个宏观功能网络的连接点，参与许多认知和情感过程，并且对常见疾病的脑部病理非常敏感。这些特征使海马体成为了解大脑结构在健康和疾病中如何与功能协同变化的模型。在这里，我们介绍hipomaps，一个开放访问工具箱和在线数据仓库，用于人脑分区域海马数据的映射和情境化（http://hippomaps.readthedocs.io）。hipomaps利用统一的海马体展开方法以及形状固有的注册功能，允许跨参与者和跨模态的数据聚合。我们将三维离体组织学海马数据、离体9.4特斯拉磁共振成像（MRI）、3特斯拉和7特斯拉的体内结构MRI和静息状态功能MRI数据以及癫痫患者的颅内脑电图记录结合起来初始化该存储库。所有代码、数据和工具都在网上公开提供，目的是促进进一步的社区贡献。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Nature Methods 生物-生化研究方法

CiteScore

58.70

自引率

1.70%

发文量

326

审稿时长

1 months

期刊介绍： Nature Methods is a monthly journal that focuses on publishing innovative methods and substantial enhancements to fundamental life sciences research techniques. Geared towards a diverse, interdisciplinary readership of researchers in academia and industry engaged in laboratory work, the journal offers new tools for research and emphasizes the immediate practical significance of the featured work. It publishes primary research papers and reviews recent technical and methodological advancements, with a particular interest in primary methods papers relevant to the biological and biomedical sciences. This includes methods rooted in chemistry with practical applications for studying biological problems.