Literature DB >> 15055392

NeuroNames 2002.

Douglas M Bowden1, Mark F Dubach.   

Abstract

NeuroNames is a nomenclature designed as a tool for indexing digital databases of neuroscientific information. It can be used, for example, as the entry point to a digital dictionary of neuroanatomy, to a brain atlas, or to a database of information referenced to specific brain structures. The user can query with terms from many different nomenclatures. One can create a neuroanatomic ontology from NeuroNames by relating an appropriate subset of terms to a conceptual model represented by structures illustrated in a brain atlas. At the conceptual core of NeuroNames are primary structures, the elementary units of the brain in the spatial domain. Each primary structure is associated with a set of synonyms that represent the structure in the symbolic domain. One of the synonyms is designated the default name for use in verbal definitions of other structures. A unique abbreviation based on the default name is provided for labeling images. Neuroscientists classify structures in different contexts reflecting different attributes of interest. Thus, the name of a given structure can appear in any number of hierarchical contexts. In NeuroNames all primary structures are now represented in at least two hierarchies. The first is a nine-level "Brain Hierarchy," in which volumetric structures are grouped by proximity to form successively larger units that represent the brain at different levels of dissection. Secondly, primary structures are categorized in a three-level "spatial attribute hierarchy" used to color- code them for visual display. Grouped structures in the nine-level volumetric hierarchy are designated superstructures, each of which has synonyms, a default term, and an abbreviation. All names of structures not in the hierarchy are designated ancillary terms and are defined in words using the default names of hierarchy structures. With NeuroNames as entry point, we have developed BrainInfo (http://braininfo.rprc.washington.edu), a website that allows searchers to proceed intuitively in a few steps to descriptions and images of specific structures. Currently NeuroNames resides in a Microsoft ACCESS database and includes some 12,200 terms in seven languages.

Entities:  

Mesh:

Year:  2003        PMID: 15055392     DOI: 10.1385/NI:1:1:043

Source DB:  PubMed          Journal:  Neuroinformatics        ISSN: 1539-2791


  5 in total

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Authors:  R F Martin; D M Bowden
Journal:  Neuroimage       Date:  1996-10       Impact factor: 6.556

2.  NeuroNames Brain Hierarchy.

Authors:  D M Bowden; R F Martin
Journal:  Neuroimage       Date:  1995-03       Impact factor: 6.556

Review 3.  Correlation and revised nomenclature of ventral nuclei in the thalamus of human and monkey.

Authors:  E G Jones
Journal:  Stereotact Funct Neurosurg       Date:  1990       Impact factor: 1.875

4.  A stereotaxic atlas of the brain of the cynomolgus monkey (Macaca fascicularis).

Authors:  J Szabo; W M Cowan
Journal:  J Comp Neurol       Date:  1984-01-10       Impact factor: 3.215

  5 in total
  39 in total

1.  The internet brain volume database: a public resource for storage and retrieval of volumetric data.

Authors:  David N Kennedy; Steven M Hodge; Yong Gao; Jean A Frazier; Christian Haselgrove
Journal:  Neuroinformatics       Date:  2012-04

2.  Integrating databases and expert systems for the analysis of brain structures: connections, similarities, and homologies.

Authors:  Mihail Bota; Michael A Arbib
Journal:  Neuroinformatics       Date:  2004

3.  A guide to building image-centric databases.

Authors:  William Bug; Jonathan Nissanov
Journal:  Neuroinformatics       Date:  2003

4.  Axiope tools for data management and data sharing.

Authors:  Nigel H Goddard; Robert C Cannon; Fred W Howell
Journal:  Neuroinformatics       Date:  2003

5.  The cell-centered database: a database for multiscale structural and protein localization data from light and electron microscopy.

Authors:  Maryann E Martone; Shenglan Zhang; Amarnath Gupta; Xufei Qian; Haiyun He; Diana L Price; Mona Wong; Simone Santini; Mark H Ellisman
Journal:  Neuroinformatics       Date:  2003

6.  neuroVIISAS: approaching multiscale simulation of the rat connectome.

Authors:  Oliver Schmitt; Peter Eipert
Journal:  Neuroinformatics       Date:  2012-07

7.  BrainKnowledge: a human brain function mapping knowledge-base system.

Authors:  Mei-Yu Hsiao; Chien-Chung Chen; Jyh-Horng Chen
Journal:  Neuroinformatics       Date:  2011-03

8.  Comparison of vector space model methodologies to reconcile cross-species neuroanatomical concepts.

Authors:  P R Srinivas; Shang-Heng Wei; Nello Cristianini; E G Jones; F A Gorin
Journal:  Neuroinformatics       Date:  2005

Review 9.  The impact of the NIH public access policy on literature informatics: What role can the neuroinformaticists play?

Authors:  William Bug
Journal:  Neuroinformatics       Date:  2005

10.  Terminology for neuroscience data discovery: multi-tree syntax and investigator-derived semantics.

Authors:  Daniel Gardner; David H Goldberg; Bernice Grafstein; Adrian Robert; Esther P Gardner
Journal:  Neuroinformatics       Date:  2008-10-29
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