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Advances Toward Closed-Loop Deep Brain Stimulation

In: Computational Neuroscience

Author

Listed:
  • Stathis S. Leondopulos

    (Rutgers University)

  • Evangelia Micheli-Tzanakou

    (Rutgers University)

Abstract

A common treatment for advanced stage Parkinsonism is the application of a periodic pulse stimulus to specific regions in the brain, also known as deep brain stimulation (or DBS). Almost immediately following this discovery, the idea of dynamically controlling the apparatus in a “closed-loop” or neuromodulatory capacity using neural activity patterns obtained in “real-time” became a fascination for many researchers in the field. However, the problems associated with the reliability of signal detection criteria, robustness across particular cases, as well as computational aspects, have delayed the practical realization of such a system. This review seeks to present many of the advances made toward closed-loop deep brain stimulation and hopefully provides some insight to further avenues of study toward this end.

Suggested Citation

  • Stathis S. Leondopulos & Evangelia Micheli-Tzanakou, 2010. "Advances Toward Closed-Loop Deep Brain Stimulation," Springer Optimization and Its Applications, in: Wanpracha Chaovalitwongse & Panos M. Pardalos & Petros Xanthopoulos (ed.), Computational Neuroscience, chapter 0, pages 227-253, Springer.
    • Handle: RePEc:spr:spochp:978-0-387-88630-5_13
    DOI: 10.1007/978-0-387-88630-5_13
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