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相关概念视频

Parkinson's Disease: Overview01:15

Parkinson's Disease: Overview

Neurodegenerative disorders are progressive diseases that cause irreversible damage and loss to neurons in specific brain areas. Examples of these disorders include Parkinson's disease, Alzheimer's disease, Multiple Sclerosis (MS), and Amyotrophic Lateral Sclerosis (ALS). These disorders share characteristics such as proteinopathies, selective neuronal vulnerability, and a complex interplay between genetic and environmental factors. The primary therapeutic goal for these conditions is to...
Parkinson's Disease: Treatment01:24

Parkinson's Disease: Treatment

Neurodegenerative disorders, such as Parkinson's Disease (PD), involve the gradual and irreversible destruction of neurons in particular brain areas. These disorders exhibit standard features like proteinopathies, selective vulnerability of some neurons, and an interaction of intrinsic properties, genetics, and environmental influences in neural injury.
Parkinson's Disease is primarily a result of the loss of dopaminergic neurons in the substantia nigra pars compacta. The cornerstone of its...
Parkinson Disease l: Introduction01:24

Parkinson Disease l: Introduction

Parkinson’s disease is a chronic, progressive neurodegenerative disorder that primarily affects movement. It is characterized by motor symptoms such as resting tremors, muscle rigidity, bradykinesia (slowness of movement), and postural instability. Patients may notice hand tremors at rest, stiffness during movement, or a shuffling gait. In addition to motor features, non-motor symptoms include sleep disturbances, mood and behavioral changes, constipation, and cognitive impairment, all of which...
Parkinson Disease ll: Pathophysiology01:24

Parkinson Disease ll: Pathophysiology

Parkinson disease (PD) is a progressive neurodegenerative disorder primarily affecting movement, with additional non-motor features. Its pathophysiology involves complex interactions among genetic susceptibility, environmental exposures, and cellular dysfunction, including dopaminergic neuron loss, protein aggregation, and mitochondrial impairment.Selective NeurodegenerationA key feature is the degeneration of dopaminergic neurons in the substantia nigra pars compacta, leading to reduced...

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相关实验视频

Updated: May 21, 2026

Controlling Parkinson's Disease With Adaptive Deep Brain Stimulation
11:12

Controlling Parkinson's Disease With Adaptive Deep Brain Stimulation

Published on: July 16, 2014

在帕金森病中引入适应DBS编程的工作流算法.

Saar Anis1, Patricia A Clark1, Shannon Shaffer1

  • 1Center for Neurological Restoration, Neurological Institute, Cleveland Clinic, Cleveland, USA.

Parkinsonism & related disorders
|January 23, 2026
PubMed
概括
此摘要是机器生成的。

在临床实践中,通过结构化的工作流程实现自适应性深度大脑刺激 (aDBS) 是可行的. 这种方法确保了帕金森病患者的安全性和一致性,促进了更广泛的采用.

关键词:
适应性的DBS系统帕金森病是帕金森病的一种.亚体的细胞核.

更多相关视频

Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease
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Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease

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Bringing the Clinic Home: An At-Home Multi-Modal Data Collection Ecosystem to Support Adaptive Deep Brain Stimulation
06:32

Bringing the Clinic Home: An At-Home Multi-Modal Data Collection Ecosystem to Support Adaptive Deep Brain Stimulation

Published on: July 14, 2023

相关实验视频

Last Updated: May 21, 2026

Controlling Parkinson's Disease With Adaptive Deep Brain Stimulation
11:12

Controlling Parkinson's Disease With Adaptive Deep Brain Stimulation

Published on: July 16, 2014

Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease
10:28

Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease

Published on: July 24, 2019

Bringing the Clinic Home: An At-Home Multi-Modal Data Collection Ecosystem to Support Adaptive Deep Brain Stimulation
06:32

Bringing the Clinic Home: An At-Home Multi-Modal Data Collection Ecosystem to Support Adaptive Deep Brain Stimulation

Published on: July 14, 2023

科学领域:

  • 神经科学是一个神经科学.
  • 生物医学工程 生物医学工程
  • 神经学 神经学

背景情况:

  • 适应性深度大脑刺激 (aDBS) 使用Medtronic PerceptTM刺激器与BrainSenseTM技术进行实时适应性刺激.
  • 虽然临床试验表明可行性,但现实世界中的aDBS实施数据有限.
  • 在运动障碍中心开发了一个DBS激活和编程的结构化工作流程.

研究的目的:

  • 描述适应性深度大脑刺激 (aDBS) 的标准化工作流程的开发和实施.
  • 评估可行性并确定成功在帕金森病患者中实施aDBS的关键因素.

主要方法:

  • 一个质量改进项目,涉及50名帕金森病患者启动aDBS.
  • 从临床记录和编程日志中抽取数据,用于过程评估.
  • 基于临床医生反和故障排除的标准化工作流程的代改进.

主要成果:

  • aDBS转换的主要原因包括动力障碍,运动波动和狭窄的治疗窗口.
  • 成功的实施依赖于定义的目标,验证的频率和确认的系统适应.
  • 开发了一个用于编程和故障排除 aDBS 的流程图.

结论:

  • 适应性深度大脑刺激 (aDBS) 在常规临床实践中是可行的,使用结构化,以团队为基础的工作流程.
  • 标准化编程和代反提高了安全性,一致性和采用.
  • 这个工作流程支持在临床中心更广泛地实施aDBS.