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Visualization in Connectomics

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Book cover Scientific Visualization

Part of the book series: Mathematics and Visualization ((MATHVISUAL))

Abstract

Connectomics is a branch of neuroscience that attempts to create a connectome, i.e., a complete map of the neuronal system and all connections between neuronal structures. This representation can be used to understand how functional brain states emerge from their underlying anatomical structures and how dysfunction and neuronal diseases arise. We review the current state-of-the-art of visualization and image processing techniques in the field of connectomics and describe a number of challenges. After a brief summary of the biological background and an overview of relevant imaging modalities, we review current techniques to extract connectivity information from image data at macro-, meso- and microscales. We also discuss data integration and neural network modeling, as well as the visualization, analysis and comparison of brain networks.

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Notes

  1. 1.

    http://flybrain.neurobio.arizona.edu

  2. 2.

    Similar approaches have been used in genomics [62, 84] and other areas.

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Authors and Affiliations

  1. School of Engineering and Applied Sciences, Harvard University, 33 Oxford St., Cambridge, MA, 02138, USA

    Hanspeter Pfister & Verena Kaynig

  2. vxlabs, Somerset West, SA

    Charl P. Botha

  3. Institute of Computer Graphics and Algorithms, Vienna University of Technology, Favoritenstraße 9-11/E186, 1040, Wien, Austria

    Stefan Bruckner

  4. Department of Visualization and Data Analysis, Zuse Institute Berlin, Takustraße 7, 14195, Berlin, Germany

    Vincent J. Dercksen & Hans-Christian Hege

  5. Johann Bernoulli Institute for Mathematics and Computer Science, University of Groningen, P.O. Box 407, 9700, AK, Groningen, The Netherlands

    Jos B. T. M. Roerdink

Authors
  1. Hanspeter Pfister
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  2. Verena Kaynig
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  3. Charl P. Botha
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  4. Stefan Bruckner
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  5. Vincent J. Dercksen
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  6. Hans-Christian Hege
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  7. Jos B. T. M. Roerdink
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Corresponding author

Correspondence to Hanspeter Pfister .

Editor information

Editors and Affiliations

  1. School of Computing Scientific Computing and Imaging Institu, University of Utah, Salt Lake City, Utah, USA

    Charles D. Hansen

  2. e-Research Centre, University of Oxford, Oxford, United Kingdom

    Min Chen

  3. School of Computing Scientific Computing and Imaging Institu, University of Utah, Salt Lake City, Utah, USA

    Christopher R. Johnson

  4. Department of Computer Science, Stony Brook University, New York, New York, USA

    Arie E. Kaufman

  5. Fachbereich Informatik, Technische Universität Kaiserslautern, Kaiserslautern, Germany

    Hans Hagen

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© 2014 Springer-Verlag London

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Pfister, H. et al. (2014). Visualization in Connectomics. In: Hansen, C., Chen, M., Johnson, C., Kaufman, A., Hagen, H. (eds) Scientific Visualization. Mathematics and Visualization. Springer, London. https://doi.org/10.1007/978-1-4471-6497-5_21

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