A developmental ontology for the mammalian brain using the prosomeric model

Puelles, Luis and Harrison, Megan and Paxinos, George and Watson, Charles. 2013. A developmental ontology for the mammalian brain using the prosomeric model. Trends in Neurosciences. 36 (10): pp. 570-578.

Source Title

Trends in Neurosciences

DOI

10.1016/j.tins.2013.06.004

ISSN

0166-2236

Remarks

NOTICE: This is the author’s version of a work that was accepted for publication in Trends in Neurosciences. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Trends in Neurosciences, Vol. 36, Issue 10. (2013). http://doi.org/10.1016/j.tins.2013.06.004

URI

http://hdl.handle.net/20.500.11937/24488

Collection

Curtin Research Publications

Abstract

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.