4.6 Article

Topography of the complete corticopontine projection: From experiments to principal maps

期刊

FRONTIERS IN NEUROSCIENCE
卷 1, 期 1, 页码 211-223

出版社

FRONTIERS MEDIA SA
DOI: 10.3389/neuro.01.1.1.016.2007

关键词

3-D reconstruction; axonal tracing; brain map; cerebellum; development; neuroinformatics; pontine nuclei

资金

  1. Research Council of Norway
  2. European Community [QLRT-2000-02256]
  3. The Norwegian Consortium for High Performance Computing

向作者/读者索取更多资源

The mammalian brain is characterized by orderly spatial distribution of its cellular components, commonly referred to as topographical organization. The topography of cortical and subcortical maps is thought to represent functional or computational properties. In the present investigation, we have studied map transformations and organizing principles in the projections from the cerebral cortex to the pontine nuclei, with emphasis on the mapping of the cortex as a whole onto the pontine nuclei. Following single or multiple axonal tracer injections into different cortical regions, three-dimensional (3-D) distributions of anterogradely labeled axons in the pontine nuclei were mapped. All 3-D reconstructed data sets were normalized to a standardized local coordinate system for the pontine nuclei and uploaded in a database application (FACCS, Functional Anatomy of the Cerebro-Cerebellar System, available via The Rodent Brain Workbench, http://www.rbwb.org). The database application allowed flexible use of the data in novel combinations, and use of a previously published data sets. Visualization of different combinations of data was used to explore alternative principles of organization. As a result of these analyses, a principal map of the topography of corticopontine projections was developed. This map followed the organization of early spatiotemporal gradients present in the cerebral cortex and the pontine nuclei. With the principal map for corticopontine projections, a fairly accurate prediction of pontine target area can be made for any site of origin in the cerebral cortex. The map and the underlying shared data sets represent a basis for modeling of topographical organization and structure-function relationships in this system.

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