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Numerical Analysis of Parkinson’s Disease in a Basal Ganglia Network Model

  • Xiaofeng Xie
  • Shenquan Liu
  • Xuemiao Pan
  • Lei Wang
Conference paper

Abstract

The paper constructed a network of basal ganglia and considered the normal state, Parkinson Disease (PD) state and Deep Brain Stimulation (DBS) therapy in this basal ganglia (BG) model. The membrane potential of neurons in BG are obtained with the help of Winnerless Competition (WLC) model. The indexes of EI (Error Index) and phase plane are used in normal state, PD state and DBS therapy state respectively to show the validity of the DBS therapy. In the end, we add the receptor and effector to this network to discuss the neural network information processing of BG and explore what effect that different kinds of connectivity strength between the cortical neurons bring to the network information processing.

Keywords

Basal Ganglion Deep Brain Stimulation Parkinson Disease Internal Globus Pallidus Parkinson Disease Patient 
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.

Notes

Acknowledgments

This work is supported by the National Nature Science Foundation of China under Grant Nos. 10872069.

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Copyright information

© Springer Science+Business Media Dordrecht 2013

Authors and Affiliations

  • Xiaofeng Xie
    • 1
  • Shenquan Liu
    • 2
  • Xuemiao Pan
    • 3
  • Lei Wang
    • 2
  1. 1.College of Automation Science and EngineeringSouth China University of TechnologyGuangzhouPeople’s Republic of China
  2. 2.Department of MathematicsSouth China University of TechnologyGuangzhouPeople’s Republic of China
  3. 3.School of Electronic and Information EngineeringSouth China University of TechnologyGuangzhouPeople’s Republic of China

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