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HippoMaps:人类海马体组织的多尺度地图

Jordan DeKraker¹, Donna Gift Cabalo², Jessica Royer²

¹McConnell Brain Imaging Centre, Montreal Neurological Institute and Hospital, McGill University, Montreal, Quebec, Canada. jordan.dekraker@mail.mcgill.ca.

|October 1, 2025

概括

HippoMaps 是一个新的开放访问数据仓库和工具箱,用于绘制人类海马的亚区域数据. 它使大脑结构和功能数据的交叉聚合能够用于健康和疾病研究.

科学领域:

神经科学是一个神经科学.
神经成像是一种神经成像.
计算神经科学是一种神经科学.

背景情况:

海马对于认知至关重要,易患疾病.
它的复杂结构和网络集成使它成为大脑功能的一个关键模型.
了解海马结构-功能关系在健康和病理学方面至关重要.

研究的目的:

介绍HippoMaps,一个开放式访问工具箱和数据仓库.
促进人类亚区域海马体数据的映射和上下文化.
实现跨参与者和跨模式数据聚合.

主要方法:

开发了一种统一的海马体展开方法.
实现了用于数据对齐的形状内在注册.
综合多样化的海马体数据:ex vivo组织学,9.4T MRI,体内3T/7T MRI和内EEG.

主要成果:

启动了存储库,提供了全面的海马数据集.
证明了跨模式数据聚合的能力.
建立了一个合作研究的开放平台.

结论:

HippoMaps为海马体数据分析提供了一个统一的框架.
这种开放的资源促进了对大脑结构功能关系的研究.
促进了解海马在健康和神经系统疾病中的作用.

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