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Related papers: Bandit Algorithms for Deep Brain Stimulation

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Deep Brain Stimulation (DBS) stands as an effective intervention for alleviating the motor symptoms of Parkinson's disease (PD). Traditional commercial DBS devices are only able to deliver fixed-frequency periodic pulses to the basal…

Machine Learning · Computer Science 2024-03-12 Hao-Lun Hsu , Qitong Gao , Miroslav Pajic

Deep brain stimulation (DBS) is an established intervention for Parkinson's disease (PD), but conventional open-loop systems lack adaptability, are energy-inefficient due to continuous stimulation, and provide limited personalization to…

Machine Learning · Computer Science 2025-07-10 Harsh Ravivarapu , Gaurav Bagwe , Xiaoyong Yuan , Chunxiu Yu , Lan Zhang

We present a nonlinear data-driven Model Predictive Control (MPC) algorithm for deep brain stimulation (DBS) for the treatment of Parkinson's disease (PD). Although DBS is typically implemented in open-loop, closed-loop DBS (CLDBS) uses the…

Optimization and Control · Mathematics 2025-09-09 Sebastian Steffen , Mark Cannon

Deep Brain Stimulation (DBS) is a highly effective treatment for Parkinson's Disease (PD). Recent research uses reinforcement learning (RL) for DBS, with RL agents modulating the stimulation frequency and amplitude. But, these models rely…

Machine Learning · Computer Science 2025-10-07 Nicholas Carter , Arkaprava Gupta , Prateek Ganguli , Benedikt Dietrich , Vibhor Krishna , Samarjit Chakraborty

Deep brain stimulation (DBS) is an advanced surgical treatment for the symptoms of Parkinson's disease (PD), involving electrical stimulation of neurons within the basal ganglia region of the brain. DBS is traditionally delivered in an…

Systems and Control · Electrical Eng. & Systems 2025-06-19 Cédric Join , Jakub Orłowski , Antoine Chaillet , Madeleine Lowery , Hugues Mounier , Michel Fliess

Adaptive deep brain stimulation (aDBS) has emerged as a promising treatment for Parkinson disease (PD). In aDBS, a surgically placed electrode sends dynamically altered stimuli to the brain based on neurophysiological feedback: an invasive…

Neurons and Cognition · Quantitative Biology 2025-05-16 Ekaterina Kuzmina , Dmitrii Kriukov , Mikhail Lebedev , Dmitry V. Dylov

This paper presents the results of our recent work on studying the effects of deep brain stimulation (DBS) and medication on the dynamics of brain local field potential (LFP) signals used for behavior analysis of patients with Parkinson s…

Neurons and Cognition · Quantitative Biology 2018-04-11 Hosein M. Golshan , Adam O. Hebb , Joshua Nedrud , Mohammad H. Mahoor

Deep brain stimulation (DBS) has shown great promise toward treating motor symptoms caused by Parkinson's disease (PD), by delivering electrical pulses to the Basal Ganglia (BG) region of the brain. However, DBS devices approved by the U.S.…

Deep brain stimulation (DBS) can alleviate the movement disorders like Parkinson's disease (PD). Indeed, it is known that aberrant beta (13-30Hz)oscillations and the loss of dopaminergic neurons in the basal ganglia-thalamus (BGTH) and…

Neurons and Cognition · Quantitative Biology 2021-12-07 Hina Shaheen , Roderick Melnik

Deep brain stimulation (DBS) is a surgical treatment for Parkinson's Disease. Static models based on quasi-static approximation are common approaches for DBS modeling. While this simplification has been validated for bioelectric sources,…

Neurons and Cognition · Quantitative Biology 2016-08-18 Pablo A. Alvarado , Mauricio A. Álvarez , Álvaro A. Orozco

Parkinson's Disease afflicts millions of individuals globally. Emerging as a promising brain rehabilitation therapy for Parkinson's Disease, Closed-loop Deep Brain Stimulation (CL-DBS) aims to alleviate motor symptoms. The CL-DBS system…

Neural and Evolutionary Computing · Computer Science 2024-07-26 Ananna Biswas , Hongyu An

Digital mental health (DMH) interventions, such as text-message-based lessons and activities, offer immense potential for accessible mental health support. While these interventions can be effective, real-world experimental testing can…

Deep brain stimulation (DBS) has the potential to improve the quality of life of people with a variety of neurological diseases. A key challenge in DBS is in the placement of a stimulation electrode in the anatomical location that maximizes…

Computer Vision and Pattern Recognition · Computer Science 2018-11-27 Camilo Bermudez , William Rodriguez , Yuankai Huo , Allison E. Hainline , Rui Li , Robert Shults , Pierre D. DHaese , Peter E. Konrad , Benoit M. Dawant , Bennett A. Landman

Decoding motor performance from brain signals offers promising avenues for adaptive deep brain stimulation (aDBS) for Parkinson's disease (PD). In a two-center cohort of 19 PD patients executing a drawing task, we decoded motor performance…

Suppression of excessively synchronous beta-band oscillatory activity in the brain is believed to suppress hypokinetic motor symptoms of Parkinson's disease. Recently, a lot of interest has been devoted to desynchronizing delayed feedback…

Neurons and Cognition · Quantitative Biology 2013-03-05 Andrey Dovzhenok , Choongseok Park , Robert M. Worth , Leonid L. Rubchinsky

A large scale computational model of the basal ganglia (BG) network is proposed to describes movement disorder including deep brain stimulation (DBS). The model of this complex network considers four areas of the basal ganglia network: the…

Neurons and Cognition · Quantitative Biology 2021-03-15 Konstantinos Spiliotis , Jens Starke , Denise Franz , Angelika Richter , Rüdiger Köhling

In Reinforcement Learning (RL), multi-armed Bandit (MAB) problems have found applications across diverse domains such as recommender systems, healthcare, and finance. Traditional MAB algorithms typically assume stationary reward…

Artificial Intelligence · Computer Science 2024-10-10 Gustavo de Freitas Fonseca , Lucas Coelho e Silva , Paulo André Lima de Castro

Parkinson's disease is marked by altered and increased firing characteristics of pathological oscillations in the brain. In other words, it causes abnormal synchronous oscillations and suppression during neurological processing. In order to…

Machine Learning · Computer Science 2023-01-02 Harsh Agarwal , Heena Rathore

Deep brain stimulation (DBS) programming remains a complex and time-consuming process, requiring manual selection of stimulation parameters to achieve therapeutic effects while minimizing adverse side-effects. This study explores…

Systems and Control · Electrical Eng. & Systems 2025-02-12 Anna Franziska Frigge , Alexander Medvedev

Deep brain stimulation (DBS) is an effective therapy as an alternative to pharmaceutical treatments for Parkinson's disease (PD). Aside from factors such as instrumentation, treatment plans, and surgical protocols, the success of the…

Image and Video Processing · Electrical Eng. & Systems 2024-10-30 Yiming Xiao , Jonathan C. Lau , Dimuthu Hemachandra , Greydon Gilmore , Ali R. Khan , Terry M. Peters
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