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

  • Alexander Wiebel
  • Cornelius Müller
  • Christoph Garth
  • Thomas R. Knösche
Conference paper
Part of the Mathematics and Visualization book series (MATHVISUAL)

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.

Keywords

Diffusion tensor imaging Tractography Visualization EEG Reconstructed Dipoles GUI 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  • Alexander Wiebel
    • 1
    • 2
  • Cornelius Müller
    • 3
  • Christoph Garth
    • 3
  • Thomas R. Knösche
    • 4
  1. 1.Zuse Institute Berlin (ZIB)BerlinGermany
  2. 2.Coburg University of Applied SciencesCoburgGermany
  3. 3.Technische Universität KaiserslauternKaiserslauternGermany
  4. 4.Max Planck Institute for Human Cognitive and Brain SciencesLeipzigGermany

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