EconPapers    
Economics at your fingertips  
 

Advances Toward Closed-Loop Deep Brain Stimulation

Stathis S. Leondopulos () and Evangelia Micheli-Tzanakou ()
Additional contact information
Stathis S. Leondopulos: Rutgers University
Evangelia Micheli-Tzanakou: Rutgers University

Chapter Chapter 13 in Computational Neuroscience, 2010, pp 227-253 from Springer

Abstract: 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.

Keywords: Basal Ganglion; Deep Brain Stimulation; Essential Tremor; Cochlear Implant; Spike Detection (search for similar items in EconPapers)
Date: 2010
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:spochp:978-0-387-88630-5_13

Ordering information: This item can be ordered from
http://www.springer.com/9780387886305

DOI: 10.1007/978-0-387-88630-5_13

Access Statistics for this chapter

More chapters in Springer Optimization and Its Applications from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-04-01
Handle: RePEc:spr:spochp:978-0-387-88630-5_13