Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

PD Controller: Design01:26

PD Controller: Design

In automotive engineering, car suspension systems often employ Proportional Derivative (PD) controllers to enhance performance. PD controllers are utilized to adjust the damping force in response to road conditions. A controller, acting as an amplifier with a constant gain, demonstrates proportional control, with output directly mirroring input.
Designing a continuous-data controller requires selecting and linking components like adders and integrators, which are fundamental in Proportional,...
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...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Obesity in obstetric anesthesia: A systematic review.

Journal of gynecology obstetrics and human reproduction·2026
Same author

Resistance of Adult <i>Kryptolebias marmoratus</i> Hermaphrodites to Irreversible Sex Change by Exogenous Androgens.

Integrative organismal biology (Oxford, England)·2026
Same author

The evolution of cavefish odor perception shifts fish response from avoidance to approach when exposed to alarm and death odors.

bioRxiv : the preprint server for biology·2025
Same author

Surgical management of the colorectum in FAP: tailored approaches for optimal outcomes.

Familial cancer·2025
Same author

Clinical best practices for caring for people with expanded resistance to newer TB drugs.

IJTLD open·2025
Same author

Employing innovation to enhance the safety and reliability of restorative surgical techniques for patients with familial adenomatous polyposis at a national referral centre.

Techniques in coloproctology·2024

Related Experiment Video

Updated: May 13, 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

Model-based rational feedback controller design for closed-loop deep brain stimulation of Parkinson's disease.

P Gorzelic1, S J Schiff, A Sinha

  • 1Department of Mechanical Engineering, The Pennsylvania State University, University Park, PA 16802, USA. pgoz@umich.edu

Journal of Neural Engineering
|March 2, 2013
PubMed
Summary

Classical feedback control methods offer improved deep brain stimulation (DBS) algorithms for Parkinson's disease (PD). PID control strategies show promise in optimizing DBS, reducing energy expenditure, and restoring neural function.

More Related Videos

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

Targeting Neuronal Fiber Tracts for Deep Brain Stimulation Therapy Using Interactive, Patient-Specific Models
14:14

Targeting Neuronal Fiber Tracts for Deep Brain Stimulation Therapy Using Interactive, Patient-Specific Models

Published on: August 12, 2018

Related Experiment Videos

Last Updated: May 13, 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

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

Targeting Neuronal Fiber Tracts for Deep Brain Stimulation Therapy Using Interactive, Patient-Specific Models
14:14

Targeting Neuronal Fiber Tracts for Deep Brain Stimulation Therapy Using Interactive, Patient-Specific Models

Published on: August 12, 2018

Area of Science:

  • Computational neuroscience
  • Biomedical engineering
  • Control theory

Background:

  • Parkinson's disease (PD) involves disrupted basal ganglia network dynamics.
  • Deep brain stimulation (DBS) is a therapeutic intervention for PD.
  • Current DBS algorithms lack adaptive feedback mechanisms.

Purpose of the Study:

  • To develop an improved DBS algorithm using classical feedback control.
  • To apply model-based rational design for PD treatment.
  • To explore PID control strategies for enhanced thalamocortical relay restoration.

Main Methods:

  • A computational model of PD dynamics was utilized.
  • Feedback control problem formulated for DBS waveform input.
  • Two strategies tested: thalamic reliability-driven and GPi inhibition-driven control.
  • Proportional-Integral-Derivative (PID) control laws were simulated.

Main Results:

  • Frequency proportional control with proportional bias optimized energy expenditure for reliability-based control.
  • GPi inhibition-based control showed significant energy reduction compared to open-loop DBS.
  • Full PID control (amplitude proportional, derivative, integral bias) yielded the best performance.
  • Optimization of PID components is feasible, suggesting adaptive implementation.

Conclusions:

  • Model-based rational design holds potential for PD feedback controllers.
  • Classical control methods can enhance DBS algorithm efficacy.
  • Optimized PID control offers a promising avenue for PD management.