NEURONAMES BRAIN HIERARCHY

NEURONAMES BRAIN HIERARCHY
复制标题

DOI:
10.1006/nimg.1995.1009
复制
发表时间:
1995-03-01
期刊:
影响因子:
5.7
通讯作者:
MARTIN, RF
MARTIN, RF
中科院分区:
医学1区
文献类型:
--
作者:
BOWDEN, DM;MARTIN, RF

文献摘要

被引文献

相似文献

NeuroNames Brain Hierarchy是一个神经解剖学术语的结构化系统,它提供了几乎所有人类和非人类灵长类动物大脑结构的全面表示,这些结构可以通过肉眼或Nissl染色的组织切片来识别。这个系统是为计算机应用而设计的,以解决《解剖学名词》中提出的大脑术语的缺陷。列出了9个等级中783个结构的英文术语,并为所有表面和初级体积结构提供了缩写。构成每个上层结构总体积的子结构被识别出来,大脑的表面特征与内部体积大脑结构明显区分开来,仅在人类或猕猴中发现的结构被识别出来。NeuroNames Brain Hierarchy的目的是为科学研究者、临床医生和学生使用的神经解剖学术语带来更大的标准化。这一努力与美国国家医学图书馆统一医学语言系统计划的目标是一致的,希望NeuroNames脑层次结构的系统构建将有助于在定量计算机神经成像应用中使用最广泛接受的经典神经解剖学定义。它应该提供一个准确的结构框架,以参考通过现代成像、映射和组织学标记技术获得的许多其他类型的神经解剖信息。(C)出版社:Academic Press
The NeuroNames Brain Hierarchy is a structured system of neuroanatomical terminology that provides a comprehensive representation of virtually all human and nonhuman primate brain structures that are identifiable either grossly or in Nissl-stained histological sections. This system was devised for computer applications to address deficiencies in the brain terminology presented in Nomina Anatomica. English terms are listed for 783 structures in nine levels of hierarchical ranking, Abbreviations are provided for all superficial and primary volumetric structures. The substructures that constitute the total volume of every superstructure are identified, Superficial features of the brain are clearly distinguished from internal, volumetric brain structures, Structures found solely in either humans or macaques are identified. The purpose of the NeuroNames Brain Hierarchy is to bring greater standardization to the neuroanatomical terminology used by scientific investigators, clinicians, and students. This effort is consistent with the goals of the Unified Medical Language System program of the National Library of Medicine, It is hoped that the systematic construction of the NeuroNames Brain Hierarchy will facilitate use of the most widely accepted definitions of classical neuroanatomy in quantitative computerized neuroimaging applications. It should provide an accurate structural framework against which to reference the many other kinds of neuroanatomical information that are acquired by modern imaging, mapping, and histological labeling techniques. (C) 1995 Academic Press, Inc.