Adaptive dual control of deep brain stimulation in Parkinsons disease simulations (Grado et al 2018)


Grado LL, Johnson MD, Netoff TI. (2018). Bayesian adaptive dual control of deep brain stimulation in a computational model of Parkinson's disease. PLoS computational biology. 14 [PubMed]

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References and models cited by this paper

Azodi-Avval R, Gharabaghi A. (2015). Phase-dependent modulation as a novel approach for therapeutic brain stimulation. Frontiers in computational neuroscience. 9 [PubMed]

Barto AG, Sutton RS. (2012). Reinforcement Learning: An Introduction. 2nd ed..

Boraud T, Graybiel AM, Brown P, Magill PJ, Goldberg JA. (2005). Oscillations in the basal ganglia: the good, the bad, and the unexpected The basal ganglia VIII.

Brown P. (2007). Abnormal oscillatory synchronisation in the motor system leads to impaired movement. Current opinion in neurobiology. 17 [PubMed]

Cagnan H et al. (2013). Phase dependent modulation of tremor amplitude in essential tremor through thalamic stimulation. Brain : a journal of neurology. 136 [PubMed]

Cagnan H et al. (2014). The nature of tremor circuits in parkinsonian and essential tremor. Brain : a journal of neurology. 137 [PubMed]

Cagnan H et al. (2017). Stimulating at the right time: phase-specific deep brain stimulation. Brain : a journal of neurology. 140 [PubMed]

Castellanos J, Martinez-Cantin R, De Freitas N, Brochu E, Doucet A. (2009). A Bayesian exploration-exploitation approach for optimal online sensing and planning with a visually guided mobile robot Autonomous Robots. 27(2)

Connolly AT et al. (2015). Modulations in oscillatory frequency and coupling in globus pallidus with increasing parkinsonian severity. The Journal of neuroscience : the official journal of the Society for Neuroscience. 35 [PubMed]

Contarino MF et al. (2014). Directional steering: A novel approach to deep brain stimulation. Neurology. 83 [PubMed]

Courtemanche R, Fujii N, Graybiel AM. (2003). Synchronous, focally modulated beta-band oscillations characterize local field potential activity in the striatum of awake behaving monkeys. The Journal of neuroscience : the official journal of the Society for Neuroscience. 23 [PubMed]

De Freitas N, Brochu E, Cora VM. (2010). A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning. arXiv.

Deuschl G, Paschen S, Witt K. (2013). Clinical outcome of deep brain stimulation for Parkinson's disease. Handbook of clinical neurology. 116 [PubMed]

Ermentrout B. (1996). Type I membranes, phase resetting curves, and synchrony. Neural computation. 8 [PubMed]

Et AL et al. (2015). Scalable Bayesian Optimization Using Deep Neural Networks. arXiv..

Gmel GE et al. (2015). A new biomarker for subthalamic deep brain stimulation for patients with advanced Parkinson's disease--a pilot study. Journal of neural engineering. 12 [PubMed]

Goldberg JA, Rokni U, Boraud T, Vaadia E, Bergman H. (2004). Spike synchronization in the cortex/basal-ganglia networks of Parkinsonian primates reflects global dynamics of the local field potentials. The Journal of neuroscience : the official journal of the Society for Neuroscience. 24 [PubMed]

Holt AB, Netoff TI. (2014). Origins and suppression of oscillations in a computational model of Parkinson's disease. Journal of computational neuroscience. 37 [PubMed]

Holt AB, Wilson D, Shinn M, Moehlis J, Netoff TI. (2016). Phasic Burst Stimulation: A Closed-Loop Approach to Tuning Deep Brain Stimulation Parameters for Parkinson's Disease. PLoS computational biology. 12 [PubMed]

Jackson JC et al. (2015). Computationally efficient, configurable, causal, real—time phase detection applied to local field potential oscillations IEEE EMBS Conference on Neural Engineering.

Jones DR. (2001). A Taxonomy of Global Optimization Methods Based on Response Surfaces Journal of Global Optimization. 21(4)

Jones DR, Perttunen CD, Stuckman BE. (1993). Lipschitzian optimization without the Lipschitz constant Journal of Optimization Theory and Applications. 79(1)

Kirsch I. (2011). Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences. Preface. Philosophical transactions of the Royal Society of London. Series B, Biological sciences. 366 [PubMed]

Kushner HJ. (1964). A New Method of Locating the Maximum Point of an Arbitrary Multipeak Curve in the Presence of Noise Journal of Basic Engineering. 86(1)

Kühn AA et al. (2008). High-frequency stimulation of the subthalamic nucleus suppresses oscillatory beta activity in patients with Parkinson's disease in parallel with improvement in motor performance. The Journal of neuroscience : the official journal of the Society for Neuroscience. 28 [PubMed]

Kühn AA, Kupsch A, Schneider GH, Brown P. (2006). Reduction in subthalamic 8-35 Hz oscillatory activity correlates with clinical improvement in Parkinson's disease. The European journal of neuroscience. 23 [PubMed]

Kühn AA et al. (2005). The relationship between local field potential and neuronal discharge in the subthalamic nucleus of patients with Parkinson's disease. Experimental neurology. 194 [PubMed]

Kühn AA et al. (2009). Pathological synchronisation in the subthalamic nucleus of patients with Parkinson's disease relates to both bradykinesia and rigidity. Experimental neurology. 215 [PubMed]

Kühn AA et al. (2004). Event-related beta desynchronization in human subthalamic nucleus correlates with motor performance. Brain : a journal of neurology. 127 [PubMed]

Leblois A et al. (2007). Late emergence of synchronized oscillatory activity in the pallidum during progressive Parkinsonism. The European journal of neuroscience. 26 [PubMed]

Leventhal DK et al. (2012). Basal ganglia beta oscillations accompany cue utilization. Neuron. 73 [PubMed]

Little S et al. (2016). Bilateral adaptive deep brain stimulation is effective in Parkinson's disease. Journal of neurology, neurosurgery, and psychiatry. 87 [PubMed]

Little S et al. (2013). Adaptive deep brain stimulation in advanced Parkinson disease. Annals of neurology. 74 [PubMed]

Locatelli M. (1997). Bayesian algorithms for one-dimensional global optimization J Global Optim.. 10(1)

Magill PJ, Sharott A, Bolam JP, Brown P. (2004). Brain state-dependency of coherent oscillatory activity in the cerebral cortex and basal ganglia of the rat. Journal of neurophysiology. 92 [PubMed]

Malekmohammadi M et al. (2016). Kinematic Adaptive Deep Brain Stimulation for Resting Tremor in Parkinson's Disease. Movement disorders : official journal of the Movement Disorder Society. 31 [PubMed]

Meidahl AC et al. (2017). Adaptive Deep Brain Stimulation for Movement Disorders: The Long Road to Clinical Therapy. Movement disorders : official journal of the Movement Disorder Society. 32 [PubMed]

Mockus J. (1994). Application of Bayesian approach to numerical methods of global and stochastic optimization Journal of Global Optimization. 4(4)

Mockus J, Tiesis V, Zilinskas A. (1978). The application of Bayesian methods for seeking the extremum Towards Global Optimisation. 2

Nelder JA, Mead J. (1965). A simplex algorithm for function minimization Computer J. 7

Netoff TI, Johnson MD, Grado LL. (2017). The Sliding Windowed Infinite Fourier Transform IEEE Signal Processing Magazine. 34(5)

Okun MS, Foote KD. (2010). Parkinson’s disease DBS: what, when, who and why? The time has come to tailor DBS targets. Expert review of neurotherapeutics. 10 [PubMed]

Pollo C et al. (2014). Directional deep brain stimulation: an intraoperative double-blind pilot study. Brain : a journal of neurology. 137 [PubMed]

Ray NJ et al. (2008). Local field potential beta activity in the subthalamic nucleus of patients with Parkinson's disease is associated with improvements in bradykinesia after dopamine and deep brain stimulation. Experimental neurology. 213 [PubMed]

Rosa M et al. (2015). Adaptive deep brain stimulation in a freely moving Parkinsonian patient. Movement disorders : official journal of the Movement Disorder Society. 30 [PubMed]

Rosa M et al. (2017). Adaptive deep brain stimulation controls levodopa-induced side effects in Parkinsonian patients. Movement disorders : official journal of the Movement Disorder Society. 32 [PubMed]

Rosenblum M, Pikovsky A. (2004). Delayed feedback control of collective synchrony: an approach to suppression of pathological brain rhythms. Physical review. E, Statistical, nonlinear, and soft matter physics. 70 [PubMed]

Rosenblum MG, Pikovsky AS. (2004). Controlling synchronization in an ensemble of globally coupled oscillators. Physical review letters. 92 [PubMed]

Ryapolova-Webb E et al. (2014). Chronic cortical and electromyographic recordings from a fully implantable device: preclinical experience in a nonhuman primate. Journal of neural engineering. 11 [PubMed]

Santaniello S, Fiengo G, Glielmo L, Grill WM. (2011). Closed-loop control of deep brain stimulation: a simulation study. IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society. 19 [PubMed]

Sasena MJ. (2002). Flexibility and Efficiency Enhancements for Constrained Global Design Optimization with Kriging Approximations. University of Michigan.

Seeger M, Srinivas N, Krause A, Kakade SM. (2009). Gaussian Process Optimization in the Bandit Setting: No Regret and Experimental Design. arXiv.

Springenberg JT, Klein A, Falkner S, Hutter F. (2016). Bayesian Optimization with Robust Bayesian Neural Networks Nips.

Streltsov S, Vakili P. (1999). A Non-myopic Utility Function for Statistical Global Optimization Algorithms Journal of Global Optimization. 14(3)

Volkmann J, Herzog J, Kopper F, Deuschl G. (2002). Introduction to the programming of deep brain stimulators. Movement disorders : official journal of the Movement Disorder Society. 17 Suppl 3 [PubMed]

Welch WJ, Jones DR, Schonlau M. (1998). Efficient Global Optimization of Expensive Black-Box Functions Journal of Global Optimization. 13

Williams CKI, Rasmussen CE. (). Gaussian processes for machine learning. 2. MIT Press.

Wittenmark B. (2004). Adaptive Dual Control. Control Systems Robotics and Automation Encyclopedia of Life Support Systems EOLSS Developed under the auspices of the UNESCO. 33

Zaidel A, Spivak A, Grieb B, Bergman H, Israel Z. (2010). Subthalamic span of beta oscillations predicts deep brain stimulation efficacy for patients with Parkinson's disease. Brain : a journal of neurology. 133 [PubMed]

de Hemptinne C et al. (2013). Exaggerated phase-amplitude coupling in the primary motor cortex in Parkinson disease. Proceedings of the National Academy of Sciences of the United States of America. 110 [PubMed]

de Hemptinne C et al. (2015). Therapeutic deep brain stimulation reduces cortical phase-amplitude coupling in Parkinson's disease. Nature neuroscience. 18 [PubMed]

de Solages C, Hill BC, Yu H, Henderson JM, Bronte-Stewart H. (2011). Maximal subthalamic beta hypersynchrony of the local field potential in Parkinson's disease is located in the central region of the nucleus. Journal of neurology, neurosurgery, and psychiatry. 82 [PubMed]

van Albada SJ, Gray RT, Drysdale PM, Robinson PA. (2009). Mean-field modeling of the basal ganglia-thalamocortical system. II Dynamics of parkinsonian oscillations. Journal of theoretical biology. 257 [PubMed]

van Albada SJ, Robinson PA. (2009). Mean-field modeling of the basal ganglia-thalamocortical system. I Firing rates in healthy and parkinsonian states. Journal of theoretical biology. 257 [PubMed]

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