Collating and Curating Neuroanatomical Nomenclatures: Principles and Use of the Brain Architecture Knowledge Management System (BAMS).
Collating and Curating Neuroanatomical Nomenclatures: Principles and Use of the Brain Architecture Knowledge Management System (BAMS).
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DOI：
10.3389/fninf.2010.00003
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发表时间：
2010
影响因子：
3.5
通讯作者：
Swanson LW
中科院分区：
文献类型：
--
作者：
Bota M;Swanson LW
用于描述神经系统各部分及其相互联系的术语充斥着同义词、部分对应，甚至是同音异义词，这给有效的科学交流带来了不必要的困难。为解决这一问题，提出了脑结构知识管理系统（BAMS）中关系模块的拓扑关系模式。它包括在不同的神经解剖学命名法或地图集中定义的神经系统部分之间的定性空间关系的表示，并且足以记录文献中的数据和元数据，无论描述水平或物种如何。在此基础上，为BAMS接口开发了一个投影翻译推理引擎，该引擎可以从翻译的信息中跨术语自动翻译神经解剖投影（轴突输入和输出）报告。为了使BAMS对神经科学界更有用，我们做了三件事。首先，我们实现了一个简单的模式来验证翻译的神经解剖投影。其次，在老鼠的大脑灰质区域之间插入了1000多个拓扑关系，以及相关的细节。最后，进行了一个案例研究，以输入与大鼠一个相对复杂的灰质区域相关的所有历史或遗留出版的术语信息。选取终末纹床核（BST），整理了1923年至今的21种不同的命名法、284个部位（灰质分异）术语、360个部位间定性拓扑关系、7000多个部位间空间关系细节，并进行了相应的元数据注释。这些信息被用来构建一个图形化的关系“知识地图”，在文献中用于描述大鼠BST的细分。
Terms used to describe nervous system parts and their interconnections are rife with synonyms, partial correspondences, and even homonyms, making effective scientific communication unnecessarily difficult. To address this problem a new Topological Relations schema for the Relations module of BAMS (Brain Architecture Knowledge Management System) was created. It includes a representation of the qualitative spatial relations between nervous system parts defined in different neuroanatomical nomenclatures or atlases and is general enough to record data and metadata from the literature, regardless of description level or species. Based on this foundation a Projections Translations inference engine was developed for the BAMS interface that automatically translates neuroanatomical projection (axonal inputs and outputs) reports across nomenclatures from translated information. To make BAMS more useful to the neuroscience community three things were done. First, we implemented a simple schema for validation of the translated neuroanatomical projections. Second, more than 1,000 topological relations between brain gray matter regions for the rat were inserted, along with associated details. Finally, a case study was performed to enter all historical or legacy published information about terminology related to one relatively complex gray matter region of the rat. The bed nuclei of the stria terminalis (BST) were chosen and 21 different nomenclatures from 1923 to present were collated, along with 284 terms for parts (gray matter differentiations), 360 qualitative topological relations between parts, and more than 7,000 details about spatial relations between parts, all of which was annotated with appropriate metadata. This information was used to construct a graphical “knowledge map” of relations used in the literature to describe subdivisions of the rat BST.