婴儿开放大脑:婴儿大脑细分的开源存储库
Eric Feczko1,2, Sally M Stoyell1,3, Lucille A Moore1
1Masonic Institute for the Developing Brain, University of Minnesota.
bioRxiv : the preprint server for biology
|October 28, 2024
概括
婴儿大脑发育研究的可复制性通过新的婴儿开放大脑 (BOBs) 存储库得到改善. 这种开源资源提供专家审查的婴儿大脑细分作为神经成像分析的基准.
科学领域:
- 神经成像是一种神经成像.
- 发育神经科学的发展神经科学.
- 医疗信息学 医疗信息学
背景情况:
- 婴儿神经成像研究中的可复制性受到不一致的协议和处理方法的阻碍.
- 缺乏黄金标准基准,例如专家策划的大脑细分,限制了可重现的分析管道的开发.
- 早期发育期 (1-9个月) 呈现出髓化和图像强度的显著变化,需要详细的参考数据.
研究的目的:
- 建立婴儿开放大脑 (BOBs) 存储库,这是一个开源的手工分割婴儿大脑MRI数据集合.
- 为婴儿群体提供一个基准资源,用于评估和增强神经成像分析管道.
- 培养一个社区驱动的,不断发展的婴儿大脑细分研究资源.
主要方法:
- 由训练有素的评定人员对71次婴儿成像访问 (51名参与者,年龄为1-9个月) 的解剖MRI数据 (T1w和T2w) 的手动细分.
- 专家对所有手动细分的审查,以确保质量和一致性.
- 通过共济会发育大脑研究所 (MIDB) 开放数据倡议公开发布该存储库,集成S3,Datalad和BrainBox.
主要成果:
- 创建婴儿开放大脑 (BOBs) 存储库,包含手工策划和专家审查的婴儿大脑细分.
- 在1-9个月的年龄范围内展示了显著的解剖变异,突出了需要详细的细分数据的需求.
- 建立一个公开可访问,版本控制和可视化数据资源.
结论:
- 婴儿大脑分段库提供了一个重要的基准,用于验证和改进婴儿大脑分段管道.
- 这种开源资源支持可复制的神经成像研究在早期发展.
- BOBs为大规模的早期生命研究奠定了基础资源,包括人类结合体项目开发 (HCP-D) 和类似的倡议.
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