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

Parkinson's Disease: Treatment01:24

Parkinson's Disease: Treatment

562
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...
562
Parkinson's Disease: Overview01:15

Parkinson's Disease: Overview

981
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...
981
Neural Regulation01:37

Neural Regulation

40.6K
Digestion begins with a cephalic phase that prepares the digestive system to receive food. When our brain processes visual or olfactory information about food, it triggers impulses in the cranial nerves innervating the salivary glands and stomach to prepare for food.
40.6K
Time-Domain Interpretation of PD Control01:07

Time-Domain Interpretation of PD Control

207
Proportional-Derivative (PD) control is a widely used control method in various engineering systems to enhance stability and performance. In a system with only proportional control, common issues include high maximum overshoot and oscillation, observed in both the error signal and its rate of change. This behavior can be divided into three distinct phases: initial overshoot, subsequent undershoot, and gradual stabilization.
Consider the example of control of motor torque. Initially, a positive...
207
Frequency-Domain Interpretation of PD Control01:24

Frequency-Domain Interpretation of PD Control

188
Proportional-Derivative (PD) controllers are widely used in fan control systems to improve stability and performance. A fan control system can be effectively represented using a Bode plot to illustrate the impact of a PD controller through its transfer function. The Bode plot visually conveys how PD control modifies the fan's response across various frequencies, providing a frequency domain interpretation of the controller's behavior.
The proportional control gain, combined with the...
188
EPS and iPS Cells in Disease Research01:21

EPS and iPS Cells in Disease Research

3.0K
Embryonic and induced pluripotent stem cells are excellent models for disease research because of their ability to self-renew and differentiate into most cell types. Somatic cells from a patient are isolated and reprogrammed into induced pluripotent stem cells or iPSCs. These iPSCs are later differentiated into the desired cell type, which mirrors the diseased cell of the patient. In this way, disease models have been created for investigating diseases such as Down syndrome, type I diabetes,...
3.0K

You might also read

Related Articles

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

Sort by
Same author

Evaluating neural encoding of prosody-related F0 changes in emotional speech using the speech FFR in normal-hearing adults.

Scientific reports·2026
Same author

In silico model of basal ganglia deep brain stimulation in Parkinson's disease captures range of effective parameters for pathological beta power suppression.

PLoS computational biology·2026
Same author

A method for pitch tracking in the frequency following response using harmonic amplitude summation filterbank.

JASA express letters·2025
Same author

Genetic Profile and Symptom Pattern Explain Variability of Deep Brain Stimulation Effect in Dystonia.

Annals of clinical and translational neurology·2025
Same author

Spiking Patterns in the Globus Pallidus Highlight Convergent Neural Dynamics across Diverse Genetic Dystonia Syndromes.

Annals of neurology·2025
Same author

Short-term epileptic seizures prediction based on cepstrum analysis and signal morphology.

BMC biomedical engineering·2024

Related Experiment Video

Updated: Oct 23, 2025

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

22.7K

Subspace-based predictive control of Parkinson's disease: A model-based study.

Mahboubeh Ahmadipour1, Mojtaba Barkhordari-Yazdi1, Saeid R Seydnejad1

  • 1Department of Electrical Engineering, Faculty of Engineering, Shahid Bahonar University of Kerman, Kerman, Iran.

Neural Networks : the Official Journal of the International Neural Network Society
|August 17, 2021
PubMed
Summary
This summary is machine-generated.

This study introduces a predictive closed-loop deep brain stimulation (DBS) strategy to manage Parkinson's disease (PD) symptoms. The new method offers improved symptom suppression and reduced energy use compared to existing DBS approaches.

Keywords:
Basal gangliaDeep brain stimulationParkinson’s diseasePredictive controlSubspace identification

More Related Videos

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

15.5K
Behavioral Assessments of Spontaneous Locomotion in a Murine MPTP-induced Parkinson's Disease Model
05:38

Behavioral Assessments of Spontaneous Locomotion in a Murine MPTP-induced Parkinson's Disease Model

Published on: January 7, 2019

18.4K

Related Experiment Videos

Last Updated: Oct 23, 2025

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

22.7K
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

15.5K
Behavioral Assessments of Spontaneous Locomotion in a Murine MPTP-induced Parkinson's Disease Model
05:38

Behavioral Assessments of Spontaneous Locomotion in a Murine MPTP-induced Parkinson's Disease Model

Published on: January 7, 2019

18.4K

Area of Science:

  • Neuroscience
  • Biomedical Engineering
  • Control Systems

Background:

  • Deep brain stimulation (DBS) effectively manages Parkinson's disease (PD) symptoms.
  • Closed-loop DBS enhances therapeutic outcomes, reduces energy consumption, and minimizes side effects compared to open-loop systems.

Purpose of the Study:

  • To develop and evaluate a predictive closed-loop control strategy for real-time suppression of Parkinson's disease symptoms.
  • To model the Basal Ganglia (BG) neuronal network using a linear multi-input multi-output (MIMO) state-delayed system.

Main Methods:

  • A predictive closed-loop control strategy was implemented for real-time PD symptom suppression.
  • A linear MIMO state-delayed system modeled the BG neuronal network, incorporating time delays.
  • Real-time subspace-based identification was used for continuous BG network state modeling.

Main Results:

  • The proposed MIMO subspace-based predictive controller demonstrated superior PD symptom suppression.
  • The controller achieved greater effectiveness and lower power consumption than conventional open-loop DBS.
  • Performance was also superior to a previously proposed single-input single-output closed-loop controller.

Conclusions:

  • Predictive closed-loop DBS using MIMO subspace-based identification offers a more effective and energy-efficient approach for Parkinson's disease treatment.
  • This strategy holds promise for improving the management of motor symptoms in PD patients.