Three-dimensional computerised atlas of the rat brain stem precerebellar system: approaches for mapping, visualization, and comparison of spatial distribution data
A. Brevik et al., Three-dimensional computerised atlas of the rat brain stem precerebellar system: approaches for mapping, visualization, and comparison of spatial distribution data, ANAT EMBRYO, 204(4), 2001, pp. 319-332
Comparisons of microscopical neuroanatomic data from different experiments
and investigators are typically hampered by the use of different section pl
anes and dissimilar techniques for data documentation. We have developed a
framework for visualization and comparison of section-based, spatial distri
bution data, in brain stem nuclei. This framework provides opportunities fo
r harmonized data presentation in neuroinformatics databases. Three-dimensi
onal computerized reconstructions of the rat brain stem and precerebellar n
uclei served as a basis for establishing internal coordinate systems for th
e pontine nuclei and the precerebellar divisions of the sensory trigeminal
nuclei. Coordinate based diagrams were used for presentation of experimenta
l data (spatial distribution of labelled neurons and axonal plexuses) from
standard angles of view. Each nuclear coordinate system was based on a cubo
id bounding box with a defined orientation. The bounding box was size-adjus
ted to touch cyto- and myeloarchitectonically defined boundaries of the ind
ividual nuclei, or easily identifiable nearby landmarks. We exemplify the u
se of these internal coordinate systems with dual retrograde neural tracing
data from pontocerebellar and trigeminocerebellar systems. The new experim
ental data were combined, in the same coordinate based diagrams, with previ
ously published data made available via a neuroinformatics data repository
(www.nesys.uio.no/Database, see also www.cerebellum.org). Three-dimensional
atlasing, internal nuclear coordinate systems, and consistent formats for
presentation of neuroanatomic data in web-based data repositories, offer ne
w opportunities for efficient analysis and re-analysis of neuroanatomic dat
a.