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Image Informatics Strategies for Deciphering Neuronal Network Connectivity

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Part of the book series: Advances in Anatomy, Embryology and Cell Biology ((ADVSANAT,volume 219))

Abstract

Brain function relies on an intricate network of highly dynamic neuronal connections that rewires dramatically under the impulse of various external cues and pathological conditions. Amongst the neuronal structures that show morphological plasticity are neurites, synapses, dendritic spines and even nuclei. This structural remodelling is directly connected with functional changes such as intercellular communication and the associated calcium bursting behaviour. In vitro cultured neuronal networks are valuable models for studying these morpho-functional changes. Owing to the automation and standardization of both image acquisition and image analysis, it has become possible to extract statistically relevant readouts from such networks. Here, we focus on the current state-of-the-art in image informatics that enables quantitative microscopic interrogation of neuronal networks. We describe the major correlates of neuronal connectivity and present workflows for analysing them. Finally, we provide an outlook on the challenges that remain to be addressed, and discuss how imaging algorithms can be extended beyond in vitro imaging studies.

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Acknowledgements

This work was supported by the Agency for Innovation by Science and Technology in Flanders (IWT Baekeland fellowship IWT_140775, O&O IWT_150003), the Flemish Institute for Scientific Research (FWO PhD Fellowship 11ZF116N) and the University of Antwerp (UA_29267, UA_29256). We further would like to acknowledge Dr. Steffen Jaensch and Dr. Andreas Ebneth for their valuable comments and discussions.

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Authors and Affiliations

  1. Laboratory of Cell Biology and Histology, Department of Veterinary Sciences, University of Antwerp, Groenenborgerlaan 171, 2020, Antwerp, Belgium

    Jan R. Detrez, Peter Verstraelen, Marlies Verschuuren, Jean-Pierre Timmermans & Winnok H. De Vos

  2. Department of Molecular and Cellular Neurobiology, Center for Neurogenomics and Cognitive Research, VU University Amsterdam, De Boelelaan 1085, 1081 HV, Amsterdam, The Netherlands

    Titia Gebuis

  3. Neuroscience Department, Janssen Research and Development, Turnhoutseweg 30, 2340, Beerse, Belgium

    Jacobine Kuijlaars, Xavier Langlois & Rony Nuydens

  4. Laboratory for Cell Physiology, Biomedical Research Institute (BIOMED), Hasselt University, Agoralaan, 3590, Diepenbeek, Belgium

    Jacobine Kuijlaars

  5. Cell Systems and Cellular Imaging, Department Molecular Biotechnology, Ghent University, Coupure Links 653, 9000, Ghent, Belgium

    Winnok H. De Vos

Authors
  1. Jan R. Detrez
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  2. Peter Verstraelen
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  3. Titia Gebuis
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  4. Marlies Verschuuren
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  5. Jacobine Kuijlaars
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  6. Xavier Langlois
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  7. Rony Nuydens
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  8. Jean-Pierre Timmermans
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  9. Winnok H. De Vos
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Corresponding author

Correspondence to Winnok H. De Vos .

Editor information

Editors and Affiliations

  1. Dept. of Veterinary Sciences, University of Antwerp, Antwerpen, Antwerpen, Belgium

    Winnok H. De Vos

  2. Dept. of Human Genetics, KU Leuven, Leuven, Belgium

    Sebastian Munck

  3. University of Antwerp, Antwerp, Belgium

    Jean-Pierre Timmermans

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© 2016 Springer International Publishing Switzerland

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Detrez, J.R. et al. (2016). Image Informatics Strategies for Deciphering Neuronal Network Connectivity. In: De Vos, W., Munck, S., Timmermans, JP. (eds) Focus on Bio-Image Informatics. Advances in Anatomy, Embryology and Cell Biology, vol 219. Springer, Cham. https://doi.org/10.1007/978-3-319-28549-8_5

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  • DOI: https://doi.org/10.1007/978-3-319-28549-8_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-28547-4

  • Online ISBN: 978-3-319-28549-8

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