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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

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…

Identifying stimulus-driven neural activity patterns is critical for studying the neural basis of cognition. This can be particularly challenging in intracranial datasets, where electrode locations typically vary across patients. This…

Neurons and Cognition · Quantitative Biology 2022-02-07 Jeremy R. Manning

Growing evidence suggests that phase-locked deep brain stimulation (DBS) can effectively regulate abnormal brain connectivity in neurological and psychiatric disorders. This letter therefore presents a low-power SoC with both neural…

Systems and Control · Electrical Eng. & Systems 2023-03-21 Uisub Shin , Cong Ding , Virginia Woods , Alik S. Widge , Mahsa Shoaran

Vagus Nerve Stimulation (VNS) is an established palliative treatment for drug resistant epilepsy. While effective for many patients, its mechanism of action is incompletely understood. Predicting individuals' response, or optimum…

Neurons and Cognition · Quantitative Biology 2024-06-06 John F. Ingham , Frances Hutchings , Paolo Zuliani , Yujiang Wang , Sadegh Soudjani , Peter N. Taylor

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

Multiple sclerosis is an inflammatory autoimmune demyelinating disease that is characterized by lesions in the central nervous system. Typically, magnetic resonance imaging (MRI) is used for tracking disease progression. Automatic image…

Image and Video Processing · Electrical Eng. & Systems 2020-08-06 Nils Gessert , Julia Krüger , Roland Opfer , Ann-Christin Ostwaldt , Praveena Manogaran , Hagen H. Kitzler , Sven Schippling , Alexander Schlaefer

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

Motor control is a set of time-varying muscle excitations which generate desired motions for a biomechanical system. Muscle excitations cannot be directly measured from live subjects. An alternative approach is to estimate muscle…

Machine Learning · Computer Science 2019-10-29 Amir H. Abdi , Pramit Saha , Praneeth Srungarapu , Sidney Fels

During Deep Brain Stimulation(DBS) surgery for treating Parkinson's disease, one vital task is to detect a specific brain area called the Subthalamic Nucleus(STN) and a sub-territory within the STN called the Dorsolateral Oscillatory…

Signal Processing · Electrical Eng. & Systems 2022-08-24 Ido Cohen , Dan Valsky , Ronen Talmon

Perceived outcomes from DBS for PD were sampled for 52 cases by surveying 46 DBS recipients and 45 carers. Post-DBS experience ranged from 10-129 months. There were significant variations in perceived outcomes over time. In some cases…

Neurons and Cognition · Quantitative Biology 2015-08-11 N. W. Page , C. Hall , S. D. Page

The Digital Twin Brain (DTB) is an advanced artificial intelligence framework that integrates spiking neurons to simulate complex cognitive functions and collaborative behaviors. For domain experts, visualizing the DTB's simulation outcomes…

Human-Computer Interaction · Computer Science 2025-05-30 Jun-Hsiang Yao , Mingzheng Li , Jiayi Liu , Yuxiao Li , Jielin Feng , Jun Han , Qibao Zheng , Jianfeng Feng , Siming Chen

Accurate neuronavigation is critical for effective transcranial magnetic stimulation (TMS), as stimulation outcomes depend directly on precise coil placement. Existing neuronavigation systems are often costly, complex, and prone to tracking…

Human-Computer Interaction · Computer Science 2026-01-26 Xuyi Hu , Ke Ma , Siwei Liu , Per Ola Kristensson , Stefan Goetz

Personalized treatments are gaining momentum across all fields of medicine. Precision medicine can be applied to neuromodulatory techniques, where focused brain stimulation treatments such as repetitive transcranial magnetic stimulation…

We present an error-controlled mesh refinement procedure for needle insertion simulation and apply it to the simulation of electrode implantation for deep brain stimulation, including brain shift. Our approach enables to control the error…

Computational Engineering, Finance, and Science · Computer Science 2018-11-20 Huu Phuoc Bui , Satyendra Tomar , Hadrien Courtecuisse , Michel Audette , Stéphane Cotin , Stéphane P. A. Bordas

We propose a novel dual-loop system that synergistically combines responsive neurostimulation (RNS) implants with artificial intelligence-driven wearable devices for treating post-traumatic stress disorder (PTSD) and enabling naturalistic…

Neurons and Cognition · Quantitative Biology 2025-03-25 Edward Hong Wang , Cynthia Xin Wen

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

Neuroscientists have enjoyed much success in understanding brain functions by constructing brain connectivity networks using data collected under highly controlled experimental settings. However, these experimental settings bear little…

Machine Learning · Statistics 2019-06-24 Kean Ming Tan , Junwei Lu , Tong Zhang , Han Liu

Diffuse Correlation Spectroscopy (DCS) allows the label-free investigation of microvascular dynamics deep within living tissue. However, common implementations of DCS are currently limited to measurement depths of $\sim 1-1.5cm$, which can…

Background: Transcranial magnetic stimulation (TMS) is a powerful tool to investigate neurophysiology of the human brain and treat brain disorders. Traditionally, therapeutic TMS has been applied in a one-size-fits-all approach,…