Charles Watson

Bregma lambda and the interaural midpoint in stereotaxic surgery with rats of different sex strain and weight

Craniometric and stereotaxic data from rats of different sex, strain and weight were compared. It was found that stereotaxic atlases can be used with rats of different sex and strain provided that the weights of the rats conform to those used in the reference atlas. If rats of different weights are used, greater accuracy can be achieved if bregma is used as the reference point for work with rostral structures and the interaural line for work with caudal structures.

A decade of data linkage in Western Australia: strategic design, applications and benefits of the WA data linkage system

OBJECTIVES The report describes the strategic design, steps to full implementation and outcomes achieved by the Western Australian Data Linkage System (WADLS), instigated in 1995 to link up to 40 years of data from over 30 collections for an historical population of 3.7 million. Staged development has seen its expansion, initially from a linkage key to local health data sets, to encompass links to national and local health and welfare data sets, genealogical links and spatial references for mapping applications. APPLICATIONS The WADLS has supported over 400 studies with over 250 journal publications and 35 graduate research degrees. Applications have occurred in health services utilisation and outcomes, aetiologic research, disease surveillance and needs analysis, and in methodologic research. BENEFITS Longitudinal studies have become cheaper and more complete; deletion of duplicate records and correction of data artifacts have enhanced the quality of information assets; data linkage has conserved patient privacy; community machinery necessary for organised responses to health and social problems has been exercised; and the commercial return on research infrastructure investment has exceeded 1000%. Most importantly, there have been unbiased contributions to medical knowledge and identifiable advances in population health arising from the research.

AChE-stained horizontal sections of the rat brain in stereotaxic coordinates.

This paper presents an atlas of the rat brain based on horizontal sections stained for acetylcholinesterase (AChE). Fourteen labeled photographs from sections at 0.5 mm intervals are presented. The atlas is intended for use with male rats 250-300 g in weight. It was constructed using the flat-skull position (lambda and bregma in same horizontal plane). Either the interaural midline or bregma can serve as the reference zero point. We have found the stain for AChE to be a useful general purpose stain for identifying brain nuclei and tracts.

A stereotaxic MRI template set for the rat brain with tissue class distribution maps and co-registered anatomical atlas: application to pharmacological MRI.

We describe a stereotaxic rat brain MRI template set with a co-registered digital anatomical atlas and illustrate its application to the analysis of a pharmacological MRI (phMRI) study of apomorphine. The template set includes anatomical images and tissue class probability maps for brain parenchyma and cerebrospinal fluid (CSF). These facilitate the use of standard fMRI software for spatial normalisation and tissue segmentation of rat brain data. A volumetric reconstruction of the Paxinos and Watson rat brain atlas is also co-localised with the template, enabling the atlas structure and stereotaxic coordinates corresponding to a feature within a statistical map to be interactively reported, facilitating the localisation of functional effects. Moreover, voxels falling within selected brain structures can be combined to define anatomically based 3D volumes of interest (VOIs), free of operator bias. As many atlas structures are small relative to the typical resolution of phMRI studies, a mechanism for defining composite structures as agglomerations of individual atlas structures is also described. This provides a simple and robust means of interrogating structures that are otherwise difficult to delineate and an objective framework for comparing and classifying compounds based on an anatomical profile of their activity. These developments allow a closer alignment of pre-clinical and clinical analysis techniques.

A developmental ontology for the mammalian brain based on the prosomeric model

In the past, attempts to create a hierarchical classification of brain structures (an ontology) have been limited by the lack of adequate data on developmental processes. Recent studies on gene expression during brain development have demonstrated the true morphologic interrelations of different parts of the brain. A developmental ontology takes into account the progressive rostrocaudal and dorsoventral differentiation of the neural tube, and the radial migration of derivatives from progenitor areas, using fate mapping and other experimental techniques. In this review, we used the prosomeric model of brain development to build a hierarchical classification of brain structures based chiefly on gene expression. Because genomic control of neural morphogenesis is remarkably conservative, this ontology should prove essentially valid for all vertebrates, aiding terminological unification.

A segmentation protocol and MRI atlas of the C57BL/6J mouse neocortex

The neocortex is the largest component of the mammalian cerebral cortex. It integrates sensory inputs with experiences and memory to produce sophisticated responses to an organisms internal and external environment. While areal patterning of the mouse neocortex has been mapped using histological techniques, the neocortex has not been comprehensively segmented in magnetic resonance images. This study presents a method for systematic segmentation of the C57BL/6J mouse neocortex. We created a minimum deformation atlas, which was hierarchically segmented into 74 neocortical and cortical-related regions, making it the most detailed atlas of the mouse neocortex currently available. In addition, we provide mean volumes and relative intensities for each structure as well as a nomenclature comparison between the two most cited histological atlases of the mouse brain. This MR atlas is available for download, and it should enable researchers to perform automated segmentation in genetic models of cortical disorders.

A cytoarchitectonic and chemoarchitectonic analysis of the dopamine cell groups in the substantia nigra, ventral tegmental area, and retrorubral field in the mouse.

The three main dopamine cell groups of the brain are located in the substantia nigra (A9), ventral tegmental area (A10), and retrorubral field (A8). Several subdivisions of these cell groups have been identified in rats and humans but have not been well described in mice, despite the increasing use of mice in neurodegenerative models designed to selectively damage A9 dopamine neurons. The aim of this study was to determine whether typical subdivisions of these dopamine cell groups are present in mice. The dopamine neuron groups were analysed in 15 adult C57BL/6J mice by anatomically localising tyrosine hydroxylase (TH), dopamine transporter protein (DAT), calbindin, and the G-protein-activated inward rectifier potassium channel 2 (GIRK2) proteins. Measurements of the labeling intensity, neuronal morphology, and the proportion of neurons double-labeled with TH, DAT, calbindin, or GIRK2 were used to differentiate subregions. Coronal maps were prepared and reconstructed in 3D. The A8 cell group had the largest dopamine neurons. Five subregions of A9 were identified: the reticular part with few dopamine neurons, the larger dorsal and smaller ventral dopamine tiers, and the medial and lateral parts of A9. The latter has groups containing some calbindin-immunoreactive dopamine neurons. The greatest diversity of dopamine cell types was identified in the seven subregions of A10. The main dopamine cell groups in the mouse brain are similar in terms of diversity to those observed in rats and humans. These findings are relevant to models using mice to analyse the selective vulnerability of different types of dopamine neurons.

A multidimensional magnetic resonance histology atlas of the Wistar rat brain

We have produced a multidimensional atlas of the adult Wistar rat brain based on magnetic resonance histology (MRH). This MR atlas has been carefully aligned with the widely used Paxinos-Watson atlas based on optical sections to allow comparisons between histochemical and immuno-marker data, and the use of the Paxinos-Watson abbreviation set. Our MR atlas attempts to make a seamless connection with the advantageous features of the Paxinos-Watson atlas, and to extend the utility of the data through the unique capabilities of MR histology: a) ability to view the brain in the skull with limited distortion from shrinkage or sectioning; b) isotropic spatial resolution, which permits sectioning along any arbitrary axis without loss of detail; c) three-dimensional (3D) images preserving spatial relationships; and d) widely varied contrast dependent on the unique properties of water protons. 3D diffusion tensor images (DTI) at what we believe to be the highest resolution ever attained in the rat provide unique insight into white matter structures and connectivity. The 3D isotropic data allow registration of multiple data sets into a common reference space to provide average atlases not possible with conventional histology. The resulting multidimensional atlas that combines Paxinos-Watson with multidimensional MRH images from multiple specimens provides a new, comprehensive view of the neuroanatomy of the rat and offers a collaborative platform for future rat brain studies.

Organization of the olivocerebellar projection in the rat.

The olivocerebellar projection has been studied in the rat using the horseradish peroxidase (HRP) retrograde tracing technique. All regions of the cerebellum, except for the flocculonodular lobe, were

Wiring cost and topological participation of the mouse brain connectome

Significance We analyzed a large dataset of tract tracing experiments to investigate the topological and spatial properties of the mouse brain connectome. We found expensive, topologically integrative hub nodes, which could not be explained by global minimization of wiring cost alone. These “high-participation” hubs mediated communication between functionally specialized and anatomically localized network modules and were associated with high expression of genes involved in cognitive and behavioral processes. We propose that the mouse brain network is selected by simultaneous competitive pressures for wiring-cost minimization and hub-mediated information exchange between network modules. High-participation hubs are expensive but central to global integration of information and, thus, essential for adaptive “higher order” brain functions. Brain connectomes are topologically complex systems, anatomically embedded in 3D space. Anatomical conservation of “wiring cost” explains many but not all aspects of these networks. Here, we examined the relationship between topology and wiring cost in the mouse connectome by using data from 461 systematically acquired anterograde-tracer injections into the right cortical and subcortical regions of the mouse brain. We estimated brain-wide weights, distances, and wiring costs of axonal projections and performed a multiscale topological and spatial analysis of the resulting weighted and directed mouse brain connectome. Our analysis showed that the mouse connectome has small-world properties, a hierarchical modular structure, and greater-than-minimal wiring costs. High-participation hubs of this connectome mediated communication between functionally specialized and anatomically localized modules, had especially high wiring costs, and closely corresponded to regions of the default mode network. Analyses of independently acquired histological and gene-expression data showed that nodal participation colocalized with low neuronal density and high expression of genes enriched for cognition, learning and memory, and behavior. The mouse connectome contains high-participation hubs, which are not explained by wiring-cost minimization but instead reflect competitive selection pressures for integrated network topology as a basis for higher cognitive and behavioral functions.