Application of non-linear control theory to a model of deep brain stimulation

Author

Davidson, Clare M. ; Lowery, Madeleine M. ; De Paor, Annraoi M.

Author_Institution

Sch. of Electr., Electron. & Mech. Eng., Univ. Coll. Dublin, Dublin, Ireland

fYear

2011

fDate

Aug. 30 2011-Sept. 3 2011

Firstpage

6785

Lastpage

6788

Abstract

Deep brain stimulation (DBS) effectively alleviates the pathological neural activity associated with Parkinson´s disease. Its exact mode of action is not entirely understood. This paper explores theoretically the optimum stimulation parameters necessary to quench oscillations in a neural-mass type model with second order dynamics. This model applies well established nonlinear control system theory to DBS. The analysis here determines the minimum criteria in terms of amplitude and pulse duration of stimulation, necessary to quench the unwanted oscillations in a closed loop system, and outlines the relationship between this model and the actual physiological system.

Keywords

brain; diseases; neurophysiology; patient treatment; Parkinson´s disease; deep brain stimulation; neural mass type model; nonlinear control theory; oscillations; pathological neural activity; second order dynamics; Basal ganglia; Brain modeling; Neurons; Oscillators; Parkinson´s disease; Pathology; Satellite broadcasting; Algorithms; Basal Ganglia; Deep Brain Stimulation; Feedback; Globus Pallidus; Humans; Linear Models; Models, Statistical; Neurons; Nonlinear Dynamics; Oscillometry; Parkinson Disease; Reproducibility of Results;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE

Conference_Location

Boston, MA

ISSN

1557-170X

Print_ISBN

978-1-4244-4121-1

Electronic_ISBN

1557-170X

Type

conf

DOI

10.1109/IEMBS.2011.6091673

Filename

6091673