CoCoMac 2.0 and the future of tract-tracing databases
- 1Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen, Nijmegen, Netherlands
- 2Institute of Neuroscience and Medicine 6, Research Center Jülich, Jülich, Germany
- 3Department Biology II, Ludwig-Maximilians-Universität München, Munich, Germany
- 4Faculty of Medicine, RWTH Aachen University, Aachen, Germany
- 5RIKEN Brain Science Institute, Wako, Saitama, Japan
The CoCoMac database contains the results of several hundred published axonal tract-tracing studies in the macaque monkey brain. The combined results are used for constructing the macaque macro-connectome. Here we discuss the redevelopment of CoCoMac and compare it to six connectome-related projects: two online resources that provide full access to raw tracing data in rodents, a connectome viewer for advanced 3D graphics, a partial but highly detailed rat connectome, a brain data management system that generates custom connectivity matrices, and a software package that covers the complete pipeline from connectivity data to large-scale brain simulations. The second edition of CoCoMac features many enhancements over the original. For example, a search wizard is provided for full access to all tables and their nested dependencies. Connectivity matrices can be computed on demand in a user-selected nomenclature. A new data entry system is available as a preview, and is to become a generic solution for community-driven data entry in manually collated databases. We conclude with the question whether neuronal tracing will remain the gold standard to uncover the wiring of brains, thereby highlighting developments in human connectome construction, tracer substances, polarized light imaging, and serial block-face scanning electron microscopy.
Keywords: CoCoMac, macaque, connectivity, database, axonal tracing
Citation: Bakker R, Wachtler T and Diesmann M (2012) CoCoMac 2.0 and the future of tract-tracing databases. Front. Neuroinform. 6:30. doi: 10.3389/fninf.2012.00030
Received: 16 April 2012; Accepted: 07 December 2012;
Published online: 27 December 2012.
Copyright: © 2012 Bakker, Wachtler and Diesmann. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in other forums, provided the original authors and source are credited and subject to any copyright notices concerning any third-party graphics etc.
*Correspondence: Rembrandt Bakker, Institute of Neuroscience and Medicine 6, Research Center Jülich, 52425 Jülich, Germany. e-mail: firstname.lastname@example.org