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

You might also read

Related Articles

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

Sort by
Same author

Untangling cross-regional cross-frequency coupling in dynamic neural oscillations.

Journal of neural engineering·2025
Same author

Five-Year Outcomes from Deep Brain Stimulation of the Subthalamic Nucleus for Parkinson Disease.

JAMA neurology·2025
Same author

Data Quality Matters: Suicide Intention Detection on Social Media Posts Using RoBERTa-CNN.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same author

Ethics in digital phenotyping: considerations regarding Alzheimer's disease, speech and artificial intelligence.

Journal of medical ethics·2025
Same author

A multimodal cross-transformer-based model to predict mild cognitive impairment using speech, language and vision.

Computers in biology and medicine·2024
Same author

MC-ViViT: Multi-branch Classifier-ViViT to Detect Mild Cognitive Impairment in Older Adults Using Facial Videos.

Expert systems with applications·2024
Same journal

Analysis of End-Tidal CO2 Variability During Plateau Waves Episodes: An Information Theoretic Approach<sup></sup>.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same journal

AI and Tomosynthesis for Breast Cancer Molecular Subtyping: A step toward precision medicine<sup></sup>.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same journal

Towards Sustainable Protein Recovery from Biological Waste: Assessing Polyethersulfone-based Microfiltration.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same journal

Analysis of the cardiovascular response to standardized polymicrobial peritonitis experimental model.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same journal

Automated Wrist Ultrasound Image Bone Enhancement and Segmentation Using Deep Learning.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
Same journal

A Deep Learning approach for Depressive Symptoms assessment in Parkinson's disease patients using facial videos.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025
See all related articles

Related Experiment Video

Updated: Mar 27, 2026

Acute In Vivo Electrophysiological Recordings of Local Field Potentials and Multi-unit Activity from the Hyperdirect Pathway in Anesthetized Rats
10:46

Acute In Vivo Electrophysiological Recordings of Local Field Potentials and Multi-unit Activity from the Hyperdirect Pathway in Anesthetized Rats

Published on: June 22, 2017

16.5K

Motor task event detection using Subthalamic Nucleus Local Field Potentials.

Soroush Niketeghad, Adam O Hebb, Joshua Nedrud

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |January 7, 2016
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces a novel asynchronous method for detecting finger movements in Parkinson's disease patients using Subthalamic Nucleus (STN) Local Field Potential (LFP) signals. This advancement is crucial for developing closed-loop Deep Brain Stimulation (DBS) systems.

    More Related Videos

    Localizing Function-specific Targets for Transcranial Magnetic Stimulation in the Absence of Navigation Equipment
    09:30

    Localizing Function-specific Targets for Transcranial Magnetic Stimulation in the Absence of Navigation Equipment

    Published on: May 23, 2025

    1.5K
    Measuring and Manipulating Functionally Specific Neural Pathways in the Human Motor System with Transcranial Magnetic Stimulation
    09:52

    Measuring and Manipulating Functionally Specific Neural Pathways in the Human Motor System with Transcranial Magnetic Stimulation

    Published on: February 23, 2020

    9.9K

    Related Experiment Videos

    Last Updated: Mar 27, 2026

    Acute In Vivo Electrophysiological Recordings of Local Field Potentials and Multi-unit Activity from the Hyperdirect Pathway in Anesthetized Rats
    10:46

    Acute In Vivo Electrophysiological Recordings of Local Field Potentials and Multi-unit Activity from the Hyperdirect Pathway in Anesthetized Rats

    Published on: June 22, 2017

    16.5K
    Localizing Function-specific Targets for Transcranial Magnetic Stimulation in the Absence of Navigation Equipment
    09:30

    Localizing Function-specific Targets for Transcranial Magnetic Stimulation in the Absence of Navigation Equipment

    Published on: May 23, 2025

    1.5K
    Measuring and Manipulating Functionally Specific Neural Pathways in the Human Motor System with Transcranial Magnetic Stimulation
    09:52

    Measuring and Manipulating Functionally Specific Neural Pathways in the Human Motor System with Transcranial Magnetic Stimulation

    Published on: February 23, 2020

    9.9K

    Area of Science:

    • Neuroscience
    • Biomedical Engineering
    • Neurology

    Background:

    • Deep Brain Stimulation (DBS) is effective for movement disorders like Parkinson's disease but current open-loop systems require manual adjustments.
    • Closed-loop DBS systems offer potential benefits in power consumption and side effect reduction by adapting stimulation based on patient behavior.
    • Accurate and asynchronous behavior detection is essential for the development of effective closed-loop DBS.

    Purpose of the Study:

    • To develop an asynchronous behavior detection method for identifying finger movements in Parkinson's disease patients.
    • To investigate motor-modulated inter-hemispheric connectivity between bilateral Subthalamic Nucleus (STN) Local Field Potential (LFP) signals.
    • To evaluate the performance of the developed detection method.

    Main Methods:

    • Utilized Subthalamic Nucleus (STN) Local Field Potential (LFP) signals recorded bilaterally from Parkinson's disease patients.
    • Employed a non-linear regression method to measure motor-modulated inter-hemispheric connectivity between STN LFP signals.
    • Developed an asynchronous behavior detection algorithm based on the measured connectivity.
    • Assessed the performance using Receiver Operating Characteristic (ROC) analysis.

    Main Results:

    • Identified significant motor-modulated inter-hemispheric connectivity between bilateral STN LFP signals.
    • Demonstrated the capability of the developed method to asynchronously detect finger movements in Parkinson's patients.
    • Quantified the performance of the behavior detection method using ROC analysis.

    Conclusions:

    • The study successfully developed and validated an asynchronous finger movement detection method for Parkinson's patients using STN LFP signals.
    • The findings highlight the utility of inter-hemispheric STN LFP connectivity as a biomarker for motor behavior.
    • This method represents a significant step towards the realization of adaptive, closed-loop DBS systems for improved Parkinson's disease management.