Blockade of glutamatergic transmission in perirhinal cortex impairs object recognition memory in macaques.

The perirhinal cortex (PRc) is essential for visual recognition memory, as shown by electrophysiological recordings and lesion studies in a variety of species. However, relatively little is known about the functional contributions of perirhinal subregions. Here we used a systematic mapping approach to identify the critical subregions of PRc through transient, focal blockade of glutamate receptors by intracerebral infusion of kynurenic acid. Nine macaques were tested for visual recognition memory using the delayed nonmatch-to-sample task. We found that inactivation of medial PRc (consisting of Area 35 together with the medial portion of Area 36), but not lateral PRc (the lateral portion of Area 36), resulted in a significant delay-dependent impairment. Significant impairment was observed with 30 and 60 s delays but not with 10 s delays. The magnitude of impairment fell within the range previously reported after PRc lesions. Furthermore, we identified a restricted area located within the most anterior part of medial PRc as critical for this effect. Moreover, we found that focal blockade of either NMDA receptors by the receptor-specific antagonist AP-7 or AMPA receptors by the receptor-specific antagonist NBQX was sufficient to disrupt object recognition memory. The present study expands the knowledge of the role of PRc in recognition memory by identifying a subregion within this area that is critical for this function. Our results also indicate that, like in the rodent, both NMDA and AMPA-mediated transmission contributes to object recognition memory.

NeuroNames 2002.

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.

NeuroNames: an ontology for the BrainInfo portal to neuroscience on the web.

BrainInfo ( http://braininfo.org ) is a growing portal to neuroscientific information on the Web. It is indexed by NeuroNames, an ontology designed to compensate for ambiguities in neuroanatomical nomenclature. The 20-year old ontology continues to evolve toward the ideal of recognizing all names of neuroanatomical entities and accommodating all structural concepts about which neuroscientists communicate, including multiple concepts of entities for which neuroanatomists have yet to determine the best or 'true' conceptualization. To make the definitions of structural concepts unambiguous and terminologically consistent we created a 'default vocabulary' of unique structure names selected from existing terminology. We selected standard names by criteria designed to maximize practicality for use in verbal communication as well as computerized knowledge management. The ontology of NeuroNames accommodates synonyms and homonyms of the standard terms in many languages. It defines complex structures as models composed of primary structures, which are defined in unambiguous operational terms. NeuroNames currently relates more than 16,000 names in eight languages to some 2,500 neuroanatomical concepts. The ontology is maintained in a relational database with three core tables: Names, Concepts and Models. BrainInfo uses NeuroNames to index information by structure, to interpret users' queries and to clarify terminology on remote web pages. NeuroNames is a resource vocabulary of the NLM's Unified Medical Language System (UMLS, 2011) and the basis for the brain regions component of NIFSTD (NeuroLex, 2011). The current version has been downloaded to hundreds of laboratories for indexing data and linking to BrainInfo, which attracts some 400 visitors/day, downloading 2,000 pages/day.

The INIA19 Template and NeuroMaps Atlas for Primate Brain Image Parcellation and Spatial Normalization.

The INIA19 is a new, high-quality template for imaging-based studies of non-human primate brains, created from high-resolution, T(1)-weighted magnetic resonance (MR) images of 19 rhesus macaque (Macaca mulatta) animals. Combined with the comprehensive cortical and sub-cortical label map of the NeuroMaps atlas, the INIA19 is equally suitable for studies requiring both spatial normalization and atlas label propagation. Population-averaged template images are provided for both the brain and the whole head, to allow alignment of the atlas with both skull-stripped and unstripped data, and thus to facilitate its use for skull stripping of new images. This article describes the construction of the template using freely available software tools, as well as the template itself, which is being made available to the scientific community (http://nitrc.org/projects/inia19/).

A symmetrical Waxholm canonical mouse brain for NeuroMaps.

NeuroMaps (2010) is a Web-based application that enables investigators to map data from macaque studies to a canonical atlas of the macaque brain. It currently serves as an image processor enabling them to create figures suitable for publication, presentation and archival purposes. Eventually it will enable investigators studying any of several species to analyze the overlap between their data and multimodality data mapped by others. The purpose of the current project was to incorporate the Waxholm canonical mouse brain (Harwylycz, 2009) into NeuroMaps. An enhanced gradient echo (T2*) magnetic resonance image (MRI) of the Waxholm canonical brain (Johnson et al., 2010) was warped to bring the irregular biological midplane of the MRI into line with the mathematically flat midsagittal plane of the Waxholm space. The left hemisphere was deleted and the right hemisphere reflected to produce a symmetrical 3D MR image. The symmetrical T2* image was imported into NeuroMaps. The map executing this warp was applied to four other voxellated volumes based on the same canonical specimen and maintained at the Center for In-Vitro Microscopy (CIVM): a T2-weighted MRI, a T1-weighted MRI, a segmented image and an image reconstructed from Nissl-stained histological sections of the specimen. Symmetric versions of those images were returned to the CIVM repository where they are made available to other laboratories. Utility of the symmetric atlas was demonstrated by mapping and comparing a number of cortical areas as illustrated in three conventional mouse brain atlases. The symmetric Waxholm mouse brain atlas is now accessible in NeuroMaps where investigators can map image data to standard templates over the Web and process them for publication, presentation and archival purposes: http://braininfo.rprc.washington.edu/MapViewData.aspx.