Self-Tuning Deep Brain Stimulation Controller for Suppression of Beta Oscillations: Analytical Derivation and Numerical Validation

Frontiers in Neuroscience
John E FlemingAntoine Chaillet

Abstract

Closed-loop control strategies for deep brain stimulation (DBS) in Parkinson's disease offer the potential to provide more effective control of patient symptoms and fewer side effects than continuous stimulation, while reducing battery consumption. Most of the closed-loop methods proposed and tested to-date rely on controller parameters, such as controller gains, that remain constant over time. While the controller may operate effectively close to the operating point for which it is set, providing benefits when compared to conventional open-loop DBS, it may perform sub-optimally if the operating conditions evolve. Such changes may result from, for example, diurnal variation in symptoms, disease progression or changes in the properties of the electrode-tissue interface. In contrast, an adaptive or "self-tuning" control mechanism has the potential to accommodate slowly varying changes in system properties over a period of days, months, or years. Such an adaptive mechanism would automatically adjust the controller parameters to maintain the desired performance while limiting side effects, despite changes in the system operating point. In this paper, two neural modeling approaches are utilized to derive and test an adaptive control...Continue Reading

References

Aug 15, 1997·Neural Computation·M L Hines, N T Carnevale
Sep 29, 2001·The New England Journal of Medicine·UNKNOWN Deep-Brain Stimulation for Parkinson's Disease Study GroupA E Lang
Apr 12, 2002·Movement Disorders : Official Journal of the Movement Disorder Society·Jens VolkmannGüntner Deuschl
Apr 29, 2004·Journal of Computational Neuroscience·Jonathan E Rubin, David Terman
Dec 27, 2005·Clinical Neurophysiology : Official Journal of the International Federation of Clinical Neurophysiology·Christopher R ButsonCameron C McIntyre
Apr 21, 2006·The European Journal of Neuroscience·Andrea A KühnPeter Brown
Mar 16, 2007·Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics·Natalia TukhlinaJürgen Kurths
May 29, 2007·Trends in Neurosciences·Constance HammondPeter Brown
Dec 21, 2007·The European Journal of Neuroscience·Yoshihisa TachibanaAtsushi Nambu
Jun 14, 2008·The Journal of Neuroscience : the Official Journal of the Society for Neuroscience·Andrea A KühnPeter Brown
Nov 18, 2008·Biological cybernetics·Martin PospischilAlain Destexhe
Dec 26, 2008·The Journal of Neuroscience : the Official Journal of the Society for Neuroscience·Nicolas MalletPeter J Magill
Feb 6, 2009·Frontiers in Neuroinformatics·Andrew P DavisonPierre Yger
Aug 8, 2009·Biological cybernetics·Alain Destexhe, Terrence J Sejnowski
Mar 24, 2010·Journal of Computational Neuroscience·Philip J Hahn, Cameron C McIntyre
Sep 17, 2010·The Journal of Neuroscience : the Official Journal of the Society for Neuroscience·Alejo J Nevado HolgadoRafal Bogacz
Oct 5, 2010·IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society·Sabato SantanielloWarren M Grill
Oct 12, 2010·Journal of Neurology, Neurosurgery, and Psychiatry·A EusebioP Brown
Dec 15, 2010·Brain : a Journal of Neurology·Vladimir LitvakPeter Brown
Oct 25, 2011·Neuron·Fernando J SantosFatuel Tecuapetla
Oct 28, 2011·The Journal of Neuroscience : the Official Journal of the Society for Neuroscience·Amanda J FoustDavid A McCormick
Nov 1, 2011·The European Journal of Neuroscience·Yoshihisa TachibanaAtsushi Nambu
Jan 26, 2012·IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society·Scott StanslaskiTimothy Denison
Jul 19, 2012·The European Journal of Neuroscience·Alex PavlidesRafal Bogacz
Nov 9, 2012·The Journal of Neuroscience : the Official Journal of the Society for Neuroscience·George C McConnellWarren M Grill
Mar 12, 2013·IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society·Guiyeom Kang, Madeleine M Lowery
Jul 16, 2013·Annals of Neurology·Simon LittlePeter Brown
Dec 18, 2013·The Journal of Physiology·Alejo J Nevado-HolgadoRafal Bogacz
Jan 7, 2014·Frontiers in Systems Neuroscience·Romain CarronConstance Hammond
Feb 22, 2014·Clinical Neurophysiology : Official Journal of the International Federation of Clinical Neurophysiology·Anne BeuterJulien Modolo
Mar 29, 2014·Frontiers in Computational Neuroscience·Guiyeom Kang, Madeleine M Lowery
May 27, 2014·The Journal of Physiology·Dario FarinaJakob Lund Dideriksen
May 23, 2015·Movement Disorders : Official Journal of the Movement Disorder Society·Manuela RosaAlberto Priori
Sep 5, 2015·IEEE Transactions on Bio-medical Engineering·Clare DavidsonMadeleine Lowery
Oct 2, 2015·Journal of Neurology, Neurosurgery, and Psychiatry·Simon LittlePeter Brown
Feb 13, 2016·Journal of Computational Neuroscience·Karthik KumaraveluWarren M Grill
May 20, 2016·The Journal of Neuroscience : the Official Journal of the Society for Neuroscience·Victoria L CorbitAryn H Gittis
Jan 10, 2017·Frontiers in Computational Neuroscience·Sungwoo AhnLeonid L Rubchinsky
Feb 14, 2017·Neural Networks : the Official Journal of the International Neural Network Society·Chen LiuKenneth A Loparo
Aug 13, 2017·Journal of Neuroengineering and Rehabilitation·Mahboubeh Parastarfeizabadi, Abbas Z Kouzani

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Citations

Nov 12, 2020·Neuromodulation : Journal of the International Neuromodulation Society·Richard RammoAndre Machado

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Software Mentioned

NEURON
PyNN API
GPe

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