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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)has become an effective intervention for advanced Parkinson's disease, but the exact mechanism of DBS is still unclear. In this review, we discuss the history of DBS, the anatomy and internal architecture of the…

Neurons and Cognition · Quantitative Biology 2023-03-24 Yongtong Wu , Kejia Hu , Shenquan Liu

Multiscale modelling presents a multifaceted perspective into understanding the mechanisms of the brain and how neurodegenerative disorders like Parkinson's disease (PD) manifest and evolve over time. In this study, we propose a novel…

Neurons and Cognition · Quantitative Biology 2025-09-18 Aaron Herrera , Hina Shaheen

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

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

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

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

Conventional deep brain stimulation (DBS) of basal ganglia uses high-frequency regular electrical pulses to treat Parkinsonian motor symptoms and has a series of limitations. Relatively new and not yet clinically tested optogenetic…

Neurons and Cognition · Quantitative Biology 2021-04-26 Shivakeshavan Ratnadurai-Giridharan , Chung Cheung , Leonid Rubchinsky

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

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

Deep brain stimulation (DBS) is a neurosurgical procedure successfully used to treat conditions such as Parkinson's disease. Electrostimulation, carried out by implanting electrodes into an identified focus in the brain, makes it possible…

Signal Processing · Electrical Eng. & Systems 2023-08-23 Arkadiusz Nowacki , Ewelina Kołpa , Mateusz Szychiewicz , Konrad Ciecierski

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

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

Models of the cortico-basal ganglia network and volume conductor models of the brain can provide insight into the mechanisms of action of deep brain stimulation (DBS). In this study, the coupling of a network model, under parkinsonian…

Neurons and Cognition · Quantitative Biology 2017-05-31 Christian Schmidt , Eleanor Dunn , Madeleine Lowery , Ursula van Rienen

Parkinson's disease (PD) belongs to the class of neurodegenerative disorders that affect the central nervous system. It is usually defined as the gradual loss of dopaminergic neurons in the substantia nigra pars compacta, which causes both…

Neurons and Cognition · Quantitative Biology 2024-11-01 Hina Shaheen , Roderick Melnik

We present a computational model that highlights the role of basal ganglia (BG) in generating simple reaching movements. The model is cast within the reinforcement learning (RL) framework with the correspondence between RL components and…

Neurons and Cognition · Quantitative Biology 2011-01-26 K. N. Magdoom , D. Subramanian , V. S. Chakravarthy , B. Ravindran , Shun-ichi Amari , N. Meenakshisundaram

Electrical high frequency stimulation (HFS) of deep brain regions is a method shown to be clinically effective in different types of movement and neurological disorders. In order to shed light on its mode of action a computational model of…

Neurons and Cognition · Quantitative Biology 2013-12-31 Felix Njap , Jens Christian Claussen , Andreas Moser , Ulrich G. Hofmann

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

Our brain is a complex information processing network in which the nervous system receives information from the environment to quickly react to incoming events or learns from experience to sharp our memory. In the nervous system, the brain…

Neurons and Cognition · Quantitative Biology 2022-06-20 Thi Kim Thoa Thieu , Roderick Melnik

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…

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