Optimized temporal pattern of brain stimulation designed by computational evolution

DT Brocker, BD Swan, RQ So, DA Turner… - Science translational …, 2017 - science.org
Brain stimulation is a promising therapy for several neurological disorders, including
Parkinson's disease. Stimulation parameters are selected empirically and are limited to the …

Phasic burst stimulation: a closed-loop approach to tuning deep brain stimulation parameters for Parkinson's disease

AB Holt, D Wilson, M Shinn, J Moehlis… - PLoS computational …, 2016 - journals.plos.org
We propose a novel, closed-loop approach to tuning deep brain stimulation (DBS) for
Parkinson's disease (PD). The approach, termed Phasic Burst Stimulation (PhaBS), applies …

Toward closed-loop optimization of deep brain stimulation for Parkinson's disease: concepts and lessons from a computational model

X Feng, B Greenwald, H Rabitz… - Journal of neural …, 2007 - iopscience.iop.org
Deep brain stimulation (DBS) of the subthalamic nucleus with periodic, high-frequency pulse
trains is an increasingly standard therapy for advanced Parkinson's disease. Here, we …

Model-based analysis and design of waveforms for efficient neural stimulation

WM Grill - Progress in brain research, 2015 - Elsevier
The design space for electrical stimulation of the nervous system is extremely large, and
because the response to stimulation is highly nonlinear, the selection of stimulation …

Computational modeling of neurostimulation in brain diseases

Y Wang, F Hutchings, M Kaiser - Progress in brain research, 2015 - Elsevier
Neurostimulation as a therapeutic tool has been developed and used for a range of different
diseases such as Parkinson's disease, epilepsy, and migraine. However, it is not known why …

An improved genetic algorithm for designing optimal temporal patterns of neural stimulation

IR Cassar, ND Titus, WM Grill - Journal of Neural Engineering, 2017 - iopscience.iop.org
Objective. Electrical neuromodulation therapies typically apply constant frequency
stimulation, but non-regular temporal patterns of stimulation may be more effective and more …

[HTML][HTML] Toward electrophysiology-based intelligent adaptive deep brain stimulation for movement disorders

WJ Neumann, RS Turner, B Blankertz, T Mitchell… - …, 2019 - Elsevier
Deep brain stimulation (DBS) represents one of the major clinical breakthroughs in the age
of translational neuroscience. In 1987, Benabid and colleagues demonstrated that high …

Semi-automated approaches to optimize deep brain stimulation parameters in Parkinson's disease

KH Louie, MN Petrucci, LL Grado, C Lu… - Journal of …, 2021 - Springer
Background Deep brain stimulation (DBS) is a treatment option for Parkinson's disease
patients when medication does not sufficiently manage their symptoms. DBS can be a highly …

Improved efficacy of temporally non-regular deep brain stimulation in Parkinson's disease

DT Brocker, BD Swan, DA Turner, RE Gross… - Experimental …, 2013 - Elsevier
High frequency deep brain stimulation is an effective therapy for motor symptoms in
Parkinson's disease. However, the relative clinical efficacy of regular versus non-regular …

Therapeutic mechanisms of high-frequency stimulation in Parkinson's disease and neural restoration via loop-based reinforcement

S Santaniello, MM McCarthy… - Proceedings of the …, 2015 - National Acad Sciences
High-frequency deep brain stimulation (HFS) is clinically recognized to treat parkinsonian
movement disorders, but its mechanisms remain elusive. Current hypotheses suggest that …