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BMC Neuroscience

, 8:P13 | Cite as

iBrain: a simulation and visualization tool for activation of brain areas on a realistic 3D brain image

  • Tohru Suzuki
  • Norio Fujimaki
  • Kazuhisa Ichikawa
Open Access
Poster presentation

Keywords

Activation Pattern Brain Area Visualization Tool Word Processing Simulation Algorithm 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Introduction

Many computer models have been developed to simulate a neuron, neural networks, and activation of brain areas aimed at the elucidation of mechanisms of brain functions. In this track there is one clear direction of modeling from a single cell to the whole brain [1]. We developed a simulation and visualization tool, "iBrain", by which we could construct, simulate and visualize a model of the transition of brain activation on a realistic brain anatomical atlas.

Methods

The modeling and simulation parts were constructed by modifying the software tool for a biological cell, "A-Cell". Users can construct a Brodmann area-level model through A-Cell like GUI. The simulation algorithm is the same as that in A-Cell. In the visualization part, an anatomical atlas of human brain was constructed from the data of "Talairach Daemon Client" superimposing them on the human brain MRI volume of "ICBM template" from LONI. This allows users to see the shape and position of various anatomical regions of the brain from mm to hemisphere resolution in the realistic 3D brain (Fig. 1). The activation patterns calculated in the simulation are visualized on this brain image.
Figure 1

An example of Brodmann area display in "iBrain".

Results

To test the simulator, we tried to reproduce the activation patterns of a human's word processing which were measured by MEG (magneto-encephalogram). The reproduced patterns were roughly matched to the patterns from the experiment and we could see them visually on the iBrain.

Conclusion

Simulation and visualization of spatio-temporal activation of brain areas on a realistic 3D brain image can be realized by iBrain. We believe this software can help us to understand the brain function at macroscopic level.

References

  1. 1.
    Markram H: The blue brain project. Nat Rev Neurosci. 2006, 7: 153-160. 10.1038/nrn1848.PubMedCrossRefGoogle Scholar

Copyright information

© Suzuki et al; licensee BioMed Central Ltd. 2007

This article is published under license to BioMed Central Ltd.

Authors and Affiliations

  • Tohru Suzuki
    • 1
  • Norio Fujimaki
    • 2
  • Kazuhisa Ichikawa
    • 1
  1. 1.Department of Brain and Bioinformation ScienceKanazawa Institute of TechnologyHakusan, IshikawaJapan
  2. 2.Biological ICT Group, Kobe Advanced ICT Research CenterNational Institute of Information and Communications TechnologyKobe, HyougoJapan

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