Skip to main content

The Smart Atlas: Spatial and Semantic Strategies for Multiscale Integration of Brain Data

  • Chapter

Part of the book series: Computational Biology ((COBO,volume 6))

Summary

This chapter focuses the application of brain cartography to the problem of multiscale integration of brain data in the context of the Biomedical Informatics Research Network (BIRN) project.The BIRN project focuses on creating a grid infrastructure for integrating data on brain morphology and function obtained by different researchers to support comprehensive understanding of the mechanisms and developing treatment for schizophrenia, Alzheimer’s, Parkinson’s and other dementias. One of the project goals is to create an online environment where brain data produced by different groups across multiple techniques can be integrated, accessed and queried. In this chapter, we describe the use of geographical information system technology to create a spatial database of the brain to which diverse data, primarily but not restricted to imaging data, is registered and queried. We discuss the role of terminological ontologies in the Smart Atlas for multiscale queries and for overcoming some of the limitations of purely spatial integration.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD   169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Ardekani BA, Guckemus S, Bachman A, Hoptman MJ, Wojtaszek M, Nierenberg J.(2005) Quantitative comparison of algorithms for inter-subject registration of 3D volumetricbrain MRI scans. J Neurosci Methods. 142: 67-76.

    Google Scholar 

  2. Astakhov, V., Gupta, A., Santini, A., Grethe, J. S.: Data Integration in the BiomedicalInformatics Research Network (BIRN). DILS 2005: 317-320, 2005

    Google Scholar 

  3. Bota M, Dong HW, Swanson LW. Brain architecture management system. Neuroinformatics.2005;3(1):15-48.

    Article  Google Scholar 

  4. Bowden DM, Dubach MF (2003) NeuroNames 2002. Neuroinformatics. 1(1):43-59.

    Article  Google Scholar 

  5. de Olmos JS, Heimer L. The concepts of the ventral striatopallidal system and extendedamygdala. Ann N Y Acad Sci. 1999 Jun 29;877:1-32.

    Google Scholar 

  6. Fong, L. L, Larson, S. D., Gupta, A., Condit, C., Bug, W., Chen, L., West, R., Lamont,S., Terada, M. and Martone, M. E. An ontology-driven knowledge environment forsubcellular neuroanatomy. OWL: Experiences and Directions workshop, submitted.

    Google Scholar 

  7. Fox PT, Laird AR, Lancaster JL.(2005) Coordinate-based voxel-wise meta-analysis: dividendsof spatial normalization. Report of a virtual workshop. Hum Brain Mapp. 25: 1-5.

    Google Scholar 

  8. Giepmans, B. N., Adams, S. R., Ellisman, M. H. and Tsien, R. Y. (2006) The fluorescenttoolbox for assessing protein location and function. Science, 312: 217-224.

    Article  Google Scholar 

  9. Gustafson C, Bug WJ, Nissanov J. (2007) NeuroTerrain–a client-server system forbrowsing 3D biomedical image data sets. BMC Bioinformatics. 8:40.

    Article  Google Scholar 

  10. Gong S, Zheng C, Doughty ML, Losos K, Didkovsky N, Schambra UB, Nowak NJ,Joyner A, Leblanc G, Hatten ME, Heintz N. (2003) A gene expression atlas of the centralnervous system based on bacterial artificial chromosomes. Nature. 425: 917-25.

    Article  Google Scholar 

  11. Grethe, J. S., Baru, C., Gupta, A., James, M., Ludaescher, B., Martone, M. E., Papadopoulos,P. M., Peltier, S. T., Rajasekar, A., Santini, S., Zaslavsky, I. N. and Ellisman,M. H. (2005) Biomedical informatics research network: building a national collaboratoryto hasten the derivation of new understanding and treatment of disease. Stud HealthTechnol Inform, 112: 100-109.

    Google Scholar 

  12. Hayamizu TF, Mangan M, Corradi JP, Kadin JA, Ringwald M. (2005) The Adult MouseAnatomical Dictionary: a tool for annotating and integrating data. Genome Biol. 6: R29.

    Article  Google Scholar 

  13. Heintz N. (2004) Gene expression nervous system atlas (GENSAT). Nat Neurosci. 7:483.PMID: 15114362 [PubMed - indexed for MEDLINE]

    Article  Google Scholar 

  14. Humphreys BL, Lindberg DA, Schoolman HM, Barnett GO. The Unified Medical LanguageSystem: an informatics research collaboration. J Am Med Inform Assoc. 1998Jan-Feb;5(1):1-11.

    Google Scholar 

  15. Larson SD, Martone ME, Rule-Based Reasoning With A Multi-Scale NeuroanatomicalOntology. OWL: Experiences and Directions workshop, submitted

    Google Scholar 

  16. Lein ES, Hawrylycz MJ, Ao N, Ayres M et al. (2007) Genome-wide atlas of gene expressionin the adult mouse brain. Nature 445: 168-176.

    Article  Google Scholar 

  17. Lucic, V., Forster, F. and Baumeister, W. (2005) Structural studies by electron tomography:from cells to molecules. Annu Rev Biochem, 74: 833-865.

    Article  Google Scholar 

  18. MacKenzie-Graham A, Lee EF, Dinov ID, Bota M, Shattuck DW, Ruffins S, Yuan H,Konstantinidis F, Pitiot A, Ding Y, Hu G, Jacobs RE, Toga AW. (2004) A multimodal,multidimensional atlas of the C57BL/6J mouse brain. J Anat. 204: 93-102.

    Article  Google Scholar 

  19. Marsh, B. J., Volkmann, N., McIntosh, J. R. and Howell, K. E. (2004) Direct continuitiesbetween cisternae at different levels of the Golgi complex in glucose-stimulated mouseislet beta cells. Proc Natl Acad Sci U S A, 101: 5565-5570.

    Article  Google Scholar 

  20. Martone M. E., Gupta A., Ludscher B., Zaslavsky I. and Ellisman M. H. (2002b) Federationof brain data using knowledge guided mediation, in Neuroscience databases: apractical guide, R. Kotter, Knopf, New York, pp. 275-92.

    Google Scholar 

  21. Martone ME, Gupta A, Ellisman MH. (2004) E-neuroscience: challenges and triumphsin integrating distributed data from molecules to brains. Nat Neurosci. 7: 467-72.

    Article  Google Scholar 

  22. Paxinos, G. and Franklin, K. (2000) The Mouse Brain in Stereotaxic Coordinates. SanDiego, Academic Press.

    Google Scholar 

  23. Price DL, Chow SK, Maclean NA, Hakozaki H, Peltier S, Martone ME, Ellisman MH.(2006) High-resolution large-scale mosaic imaging using multiphoton microscopy tocharacterize transgenic mouse models of human neurological disorders. Neuroinformatics.2006 Winter;4(1):65-80.

    Article  Google Scholar 

  24. Rosse C, Mejino JL Jr. A reference ontology for biomedical informatics: the FoundationalModel of Anatomy. J Biomed Inform. 2003 Dec;36(6):478-500.

    Article  Google Scholar 

  25. Sharief AA, Johnson GA. (2006) Enhanced T2 contrast for MR histology of the mousebrain. Magn Reson Med. 56: 717-25.

    Article  Google Scholar 

  26. Shepherd GM, Mirsky JS, Healy MD, Singer MS, Skoufos E, Hines MS, NadkarniPM, Miller PL (1998) The Human Brain Project: neuroinformatics tools for integrating,searching and modeling multidisciplinary neuroscience data. Trends Neurosci. 21:460-8.

    Article  Google Scholar 

  27. Smith B and Rosse C. The role of foundational relations in the alignment of biomedicalontologies. Medinfo, 2004 11(Pt 1):444-8.

    Google Scholar 

  28. Swanson, L. W. (2002) Brain architecture: understanding the basic plan, New York: OxfordUniversity Press.

    Google Scholar 

  29. Swanson LW, Petrovich GD. (1998) What is the amygdala? Trends Neurosci. 21: 323-31.

    Article  Google Scholar 

  30. Wang, Y., Santini, S., and Gupta, A. (2005) Efficiently Querying Spatial Histograms.SPIE International Symposium on Electronic Imaging 2005. San Jose, California, USA.January 16-20, 2005.

    Google Scholar 

  31. Zaslavsky I, He H, Tran J, Martone ME, Gupta A (2004) ”Integrating Brain Data Spatially:Spatial Data Infrastructure and Atlas Environment for Online Federation and Analysisof Brain Images ” Biological Data Management Workshop (BIDM 2004), pp. 389-393.

    Google Scholar 

Download references

Authors

Editor information

Albert Burger BSc, MSc, PhD Duncan Davidson BSc, PhD Richard Baldock BSc, PhD

Rights and permissions

Reprints and permissions

Copyright information

© 2008 Albert Burger, Duncan Davidson, Richard Baldock

About this chapter

Cite this chapter

Martone, M.E. et al. (2008). The Smart Atlas: Spatial and Semantic Strategies for Multiscale Integration of Brain Data. In: Burger, A., Davidson, D., Baldock, R. (eds) Anatomy Ontologies for Bioinformatics. Computational Biology, vol 6. Springer, London. https://doi.org/10.1007/978-1-84628-885-2_13

Download citation

  • DOI: https://doi.org/10.1007/978-1-84628-885-2_13

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-84628-884-5

  • Online ISBN: 978-1-84628-885-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics