中文
相关论文

相关论文: Microelectrode Signal Dynamics as Biomarkers of Su…

200 篇论文

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…

神经元与认知 · 定量生物学 2016-07-05 Kristian J. Weegink , Paul A. Bellette , John J. Varghese , Peter A. Silburn , Paul A. Meehan , Andrew P. Bradley

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…

Deep Brain Stimulation (DBS) is one of the most successful methods to diminish late-stage Parkinson's Disease (PD) symptoms. It is a delicate surgical procedure which requires detailed pre-surgical patient's study. High-field Magnetic…

图像与视频处理 · 电气工程与系统科学 2024-07-23 Tomás Lima , Igor Varga , Eduard Bakštein , Daniel Novák , Victor Alves

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…

信号处理 · 电气工程与系统科学 2023-08-23 Arkadiusz Nowacki , Ewelina Kołpa , Mateusz Szychiewicz , Konrad Ciecierski

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…

信号处理 · 电气工程与系统科学 2022-08-24 Ido Cohen , Dan Valsky , Ronen Talmon

Deep Brain Stimulation (DBS) has gained increasing attention as an effective method to mitigate Parkinsons disease (PD) disorders. Existing DBS systems are open-loop such that the system parameters are not adjusted automatically based on…

计算机视觉与模式识别 · 计算机科学 2016-11-18 Hosein M. Golshan , Adam O. Hebb , Sara J. Hanrahan , Joshua Nedrud , Mohammad H. Mahoor

Parkinson's disease (PD) is a degenerative condition of the nervous system, which manifests itself primarily as muscle stiffness, hypokinesia, bradykinesia, and tremor. In patients suffering from advanced stages of PD, Deep Brain…

计算机视觉与模式识别 · 计算机科学 2017-06-15 Roger Gomez Nieto , Andres Marino Alvarez Meza , Julian David Echeverry Correa , Alvaro Angel Orozco Gutierrez

Parkinson's disease (PD) is a highly heterogeneous disease, including which motor symptoms are dominating. Imaging biomarkers that support subtype stratification could also improve biological understanding and study design, and enable…

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…

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…

Multi-sensor microelectrodes for extracellular action potential recording have significantly improved the quality of in vivo recorded neuronal signals. These microelectrodes have also been instrumental in the localization of neuronal signal…

神经元与认知 · 定量生物学 2013-11-18 Chang Won Lee , Agnieszka A. Szymanska , Shun Chi Wu , A. Lee Swindlehurst , Zoran Nenadic

A major shortcoming of medical practice is the lack of an objective measure of conscious level. Impairment of consciousness is common, e.g. following brain injury and seizures, which can also interfere with sensory processing and volitional…

神经元与认知 · 定量生物学 2025-12-24 Alexis Pomares Pastor , Ines Ribeiro Violante , Gregory Scott

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…

最优化与控制 · 数学 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…

神经元与认知 · 定量生物学 2018-04-11 Hosein M. Golshan , Adam O. Hebb , Joshua Nedrud , Mohammad H. Mahoor

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…

神经元与认知 · 定量生物学 2025-05-16 Ekaterina Kuzmina , Dmitrii Kriukov , Mikhail Lebedev , Dmitry V. Dylov

Parkinsons disease (PD) alters cortical neural dynamics, yet reliable non-invasive electrophysiological biomarkers remain elusive. This study examined whether interpretable EEG features capturing complementary aspects of neural dynamics can…

神经元与认知 · 定量生物学 2026-04-14 Antonios G. Dougalis

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…

神经元与认知 · 定量生物学 2025-09-18 Aaron Herrera , Hina Shaheen

Deep-Brain Stimulation (DBS) is a therapy used in conjunction with medication to help alleviate the motor symptoms of Parkinson's Disease (PD). However, the monitoring and adjustment of DBS settings is tedious and expensive, requiring long…

神经元与认知 · 定量生物学 2019-12-03 Huy Phi , Sanjeev Janarthanan , Larry Zhang , Reza Hosseini Ghomi

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…

机器学习 · 计算机科学 2024-03-12 Hao-Lun Hsu , Qitong Gao , Miroslav Pajic

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…

神经元与认知 · 定量生物学 2016-05-31 Jeffrey Herron , Anca Velisar , Mahsa Malekmohammadi , Helen Bronte-Stewart , Howard Jay Chizeck
‹ 上一页 1 2 3 10 下一页 ›