Visualization in Connectomics

  • 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.

Export metadata

Additional Services

Share in Twitter Search Google Scholar
Metadaten
Author:Hanspeter Pfister, Verena Kaynig, Charl P. Botha, Stefan Bruckner, Vincent J. Dercksen, Hans-Christian Hege, Jos B.T.M. Roerdink
Editor:Charles D. Hansen, Min Chen, Christopher R. Johnson, Arie E. Kaufman, Hans Hagen
Document Type:Book chapter
Parent Title (English):Scientific Visualization - Uncertainty, Multifield, Biomedical, and Scalable Visualization
First Page:221
Last Page:245
Series:Mathematics and Visualization
Publisher:Springer
Year of first publication:2014
ArXiv Id:http://arxiv.org/abs/1206.1428
ISBN:978-1-4471-6496-8
DOI:https://doi.org/10.1007/978-1-4471-6497-5_21