基础科学和病原发生学
Jason Webster1, Yiqin Alicia Shen1, Ali Shojaie1
1University of Washington, Seattle, WA, USA.
Alzheimer's & dementia : the journal of the Alzheimer's Association
|December 24, 2025
概括
研究人员开发了ADAPT,这是一种将大脑图谱连接在一起的工具,用于定位阿尔茨海默病和相关痴呆症 (ADRD) 生物存储器组织样本. 这有助于跨学科的研究,使组织具有特定的神经科学属性的精确识别.
科学领域:
- 神经科学是一个神经科学.
- 生物信息学是一种生物信息学.
- 神经成像是一种神经成像.
背景情况:
- 阿尔茨海默病和相关痴呆症 (ADRD) 的研究依赖于死后脑组织的可用性和特征.
- 数字大脑采样协议 (BSP) 地图提供了固定组织采样协议的3D表示.
- 在生物存储库中定位特定的组织样本一直是跨学科研究的挑战.
研究的目的:
- 开发一种方法,将数字BSP地图与各种神经科学地图联系起来.
- 为了使生物存储器组织样本的位置使用任意的神经科学术语.
- 优化用于ADRD研究的大脑组织资源的使用.
主要方法:
- 多个神经科学地图 (涵盖解剖学,细胞核,连接等) 在MNI2009b模板中注册.
- 亚特拉斯标签,全名和BSP样本中的体积被存储在PyMongo数据库中.
- 为交互式探索和基于文本的搜索创建了一个R/Shiny支持Web的界面.
主要成果:
- 开发了ADAPT (死后组织的Atlas驱动访问),将数字BSP地图与各种神经科学参考地图联系起来.
- 与MNI2009b共同注册允许使用标准神经成像软件进行可视化.
- 该系统能够识别含有特定神经科学术语的脑组织样本,并估计其体积.
结论:
- 适应为ADRD研究提供了一种多功能和可扩展的解决方案,用于表征和定位ADRD研究的大脑生物存储资源.
- 该系统使用神经信息学规范,简化了额外的地图集的整合,并增强了与分析工具的兼容性.
- 互联网接口降低了协作障碍,通过快速识别合适的组织样本,并提供样本最佳性的标准.
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