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Related Concept Videos

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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Related Experiment Video

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

Introducing a workflow algorithm for adaptive DBS programming in Parkinson's disease.

Saar Anis1, Patricia A Clark1, Shannon Shaffer1

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

Parkinsonism & Related Disorders
|January 23, 2026
PubMed
Summary
This summary is machine-generated.

Implementing adaptive deep brain stimulation (aDBS) is feasible in clinical practice with a structured workflow. This approach ensures safety and consistency for Parkinson's disease patients, promoting wider adoption.

Keywords:
Adaptive DBSParkinson's diseaseSubthalamic nucleus

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Related Experiment Videos

Last Updated: May 21, 2026

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

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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

Area of Science:

  • Neuroscience
  • Biomedical Engineering
  • Neurology

Background:

  • Adaptive deep brain stimulation (aDBS) uses Medtronic Percept™ stimulator with BrainSense™ technology for real-time, adaptive stimulation.
  • While clinical trials show feasibility, real-world aDBS implementation data is limited.
  • A structured workflow for aDBS activation and programming was developed at a movement disorders center.

Purpose of the Study:

  • To describe the development and implementation of a standardized workflow for adaptive deep brain stimulation (aDBS).
  • To evaluate the feasibility and identify key factors for successful real-world aDBS implementation in Parkinson's disease patients.

Main Methods:

  • A quality improvement project involving 50 Parkinson's disease patients initiating aDBS.
  • Data abstraction from clinical records and programming logs for process evaluation.
  • Iterative refinement of a standardized workflow based on clinician feedback and troubleshooting.

Main Results:

  • Primary reasons for aDBS conversion included dyskinesias, motor fluctuations, and narrow therapeutic windows.
  • Successful implementation relied on defined goals, validated frequencies, and confirmed system adaptation.
  • A flowchart for programming and troubleshooting aDBS was developed.

Conclusions:

  • Adaptive deep brain stimulation (aDBS) is feasible in routine clinical practice using a structured, team-based workflow.
  • Standardized programming and iterative feedback enhance safety, consistency, and adoption.
  • This workflow supports broader implementation of aDBS across clinical centers.