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A System for Combined Visualization of EEG and Diffusion Tensor Imaging Tractography Data

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Book cover Visualization and Processing of Tensors and Higher Order Descriptors for Multi-Valued Data

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

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Abstract

In this paper we present an interactive system that integrates the visual analysis of nerve fiber pathway approximations from diffusion tensor imaging (DTI) with electroencephalography (EEG) data. The technique uses source reconstructions from EEG data to define certain regions of interest in the brain. These regions, in turn, are used to selectively display subsets of the approximated fiber pathways in the brain. The selected pathways highlight potential connections from activated areas to other parts of the brain and can thus help to understand networks on which most higher brain function relies. Users can explore the neuronal network and activity by navigating in an EEG curve view. The navigation is supported by optional mechanisms like snapping to time points with present reconstructed dipoles and visual cues highlighting such points. To the best of our knowledge, the presented combination of time navigation in EEG curves together with DTI pathway selection at the corresponding dipole positions is new and has not been described before. The presented methods are freely available in an open source system for visualization and analysis in neuroscience.

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Acknowledgements

We thank the OpenWalnut community for providing their software as basis for implementing the presented techniques. We are also grateful to Gerik Scheuermann and his group at the University of Leipzig, who provided an enjoyable and inspiring environment for Cornelius Müller’s work on his master’s thesis. The reviewers made many very valuable suggestions, we would like to thank them for this. This work was partly supported by the AiF (ZIM grant KF 2034701SS8).

Author information

Authors and Affiliations

  1. Zuse Institute Berlin (ZIB), Berlin, Germany

    Alexander Wiebel

  2. Coburg University of Applied Sciences, Coburg, Germany

    Alexander Wiebel

  3. Technische Universität Kaiserslautern, Kaiserslautern, Germany

    Cornelius Müller & Christoph Garth

  4. Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany

    Thomas R. Knösche

Authors
  1. Alexander Wiebel
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  2. Cornelius Müller
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  3. Christoph Garth
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  4. Thomas R. Knösche
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Corresponding author

Correspondence to Alexander Wiebel .

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Editors and Affiliations

  1. Dept. of Radiology, Harvard Medical School, Brigham, and Women's Hospital, Boston, Massachusetts, USA

    Carl-Fredrik Westin

  2. Technical University of Delft, Dept of Computer Graphics and Visualization, Delft, The Netherlands

    Anna Vilanova

  3. Universität des Saarlandes, Dept. of Mathematics, Saarbrücken, Germany

    Bernhard Burgeth

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Wiebel, A., Müller, C., Garth, C., Knösche, T.R. (2014). A System for Combined Visualization of EEG and Diffusion Tensor Imaging Tractography Data. In: Westin, CF., Vilanova, A., Burgeth, B. (eds) Visualization and Processing of Tensors and Higher Order Descriptors for Multi-Valued Data. Mathematics and Visualization. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-54301-2_15

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