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The study involved 56 patients with advanced and late stages of Parkinsons disease, which could be considered as potentially requiring neurosurgical treatment-electrical stimulation of deep brain structures. An algorithm has been developed…

Neurons and Cognition · Quantitative Biology 2021-11-10 Elcin Huseyn

Deep Brain Stimulation (DBS) is a therapy widely used for treating the symptoms of neurological disorders. Electrical pulses are chronically delivered in DBS to a disease-specific brain target via a surgically implanted electrode. The…

Systems and Control · Electrical Eng. & Systems 2024-10-24 Anna Franziska Frigge , Elena Jiltsova , Fredrik Olsson , Dag Nyholm , Alexander Medvedev

Objective: Closed-loop deep brain stimulation (DBS) may improve current clinical DBS treatment for neurological movement disorders, but control algorithms may perform differently across patients. New metrics are needed for comparing and…

Neurons and Cognition · Quantitative Biology 2016-05-31 Jeffrey Herron , Anca Velisar , Mahsa Malekmohammadi , Helen Bronte-Stewart , Howard Jay Chizeck

The basal ganglia (BG) show a variety of functions for motor and cognition. There are two competitive pathways in the BG; direct pathway (DP) which facilitates movement and indirect pathway (IP) which suppresses movement. It is well known…

Neurons and Cognition · Quantitative Biology 2024-04-15 Sang-Yoon Kim , Woochang Lim

In this paper we present an efficient model of the neuronal potentials recorded by a deep brain stimulation microelectrode (DBS MER) in the subthalamic nucleus. It is shown that a computationally efficient filtered point process consisting…

Neurons and Cognition · Quantitative Biology 2016-07-05 Kristian J. Weegink , Paul A. Bellette , John J. Varghese , Peter A. Silburn , Paul A. Meehan , Andrew P. Bradley

Evaluating neurological disorders such as Parkinson's disease (PD) is a challenging task that requires the assessment of several motor and non-motor functions. In this paper, we present an end-to-end deep learning framework to measure PD…

Computer Vision and Pattern Recognition · Computer Science 2020-12-25 Amirhossein Dadashzadeh , Alan Whone , Michal Rolinski , Majid Mirmehdi

Objective: The objective of this study is to develop and evaluate a systematic approach to optimize Deep Brain Stimulation (DBS) parameters, addressing the challenge of identifying patient-specific settings and optimal stimulation targets…

Systems and Control · Electrical Eng. & Systems 2026-01-13 Anna Franziska Frigge , Lina Uggla , Elena Jiltsova , Markus Fahlström , Dag Nyholm , Alexander Medvedev

Cluster synchronization underlies various functions in the brain. Abnormal patterns of cluster synchronization are often associated with neurological disorders. Deep brain stimulation (DBS) is a neurosurgical technique used to treat several…

Systems and Control · Electrical Eng. & Systems 2022-04-06 Yuzhen Qin , Danielle S. Bassett , Fabio Pasqualetti

Transcranial Electrical Stimulation (TCES) and Deep Brain Stimulation (DBS) are two different applications of electrical current to the brain used in different areas of medicine. Both have a similar frequency dependence of their efficiency,…

Neurons and Cognition · Quantitative Biology 2019-07-15 Markus Schütt , Jens Christian Claussen

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

We characterize the amplitude statistics of intraoperative microelectrode recordings (MERs) obtained during deep brain stimulation (DBS) surgery in 46 patients with Parkinson's disease, using 184 recordings equally balanced between inside…

A deep neural network (DNN) that can reliably model muscle responses from corresponding brain stimulation has the potential to increase knowledge of coordinated motor control for numerous basic science and applied use cases. Such cases…

Parkinson's Disease (PD) is a devastating neurodegenerative disorder that affects millions of people around the globe. Many researchers are continuously working to understand PD and develop treatments to improve the condition of PD…

Applications · Statistics 2025-12-16 Malinda Iluppangama , Dilmi Abeywardana , Chris Tsokos

The assessment of Parkinson's disease (PD) poses a significant challenge as it is influenced by various factors which lead to a complex and fluctuating symptom manifestation. Thus, a frequent and objective PD assessment is highly valuable…

Recently, the potential of dynamic brain networks as a neuroimaging biomarkers for mental illnesses is being increasingly recognized. However, there are several unmet challenges in developing such biomarkers, including the need for methods…

Neurons and Cognition · Quantitative Biology 2019-10-10 Suprateek Kundu , Jin Ming , Jennifer Stevens

Accurate intraoperative localization of the subthalamic nucleus (STN) is essential for the efficacy of Deep Brain Stimulation (DBS) in patients with Parkinson's disease. While microelectrode recordings (MERs) provide rich…

Closed-loop neural stimulation provides novel therapies for neurological diseases such as Parkinson's disease (PD), but it is not yet clear whether artificial intelligence (AI) techniques can tailor closed-loop stimulation to individual…

Machine Learning · Computer Science 2025-07-22 Matthew J. Bryan , Felix Schwock , Azadeh Yazdan-Shahmorad , Rajesh P N Rao

Parkinson's Disease (PD) is associated with gait movement disorders, such as bradykinesia, stiffness, tremors and postural instability, caused by progressive dopamine deficiency. Today, some approaches have implemented learning…

Computer Vision and Pattern Recognition · Computer Science 2024-09-04 Edgar Rangel , Fabio Martinez

Parkinsons disease (PD) is a debilitating motor system disorder characterized by progressive loss of movement, tremors, and speech slurring. PD is due to the loss of dopamine-producing brain cells, and symptoms only worsen over time, making…

Neurons and Cognition · Quantitative Biology 2014-05-07 Pooja Chandrashekar

Epilepsy is a common neurological disorder characterized by recurrent seizures accompanied by excessive synchronous brain activity. The process of structural and functional brain alterations leading to increased seizure susceptibility and…

Signal Processing · Electrical Eng. & Systems 2020-06-18 Diyuan Lu , Sebastian Bauer , Valentin Neubert , Lara Sophie Costard , Felix Rosenow , Jochen Triesch