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: Apr 18, 2026

Intra-Operative Behavioral Tasks in Awake Humans Undergoing Deep Brain Stimulation Surgery
12:04

Intra-Operative Behavioral Tasks in Awake Humans Undergoing Deep Brain Stimulation Surgery

Published on: January 6, 2011

13.6K

Single trial behavioral task classification using subthalamic nucleus local field potential signals.

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 9, 2015
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces a new method to recognize Parkinson's disease patient behaviors using brain signals. This technique aims to customize Deep Brain Stimulation (DBS) for improved treatment and reduced side effects.

    More Related Videos

    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

    16.6K
    Deep Brain Stimulation with Simultaneous fMRI in Rodents
    11:09

    Deep Brain Stimulation with Simultaneous fMRI in Rodents

    Published on: February 15, 2014

    14.7K

    Related Experiment Videos

    Last Updated: Apr 18, 2026

    Intra-Operative Behavioral Tasks in Awake Humans Undergoing Deep Brain Stimulation Surgery
    12:04

    Intra-Operative Behavioral Tasks in Awake Humans Undergoing Deep Brain Stimulation Surgery

    Published on: January 6, 2011

    13.6K
    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

    16.6K
    Deep Brain Stimulation with Simultaneous fMRI in Rodents
    11:09

    Deep Brain Stimulation with Simultaneous fMRI in Rodents

    Published on: February 15, 2014

    14.7K

    Area of Science:

    • Neuroscience
    • Biomedical Engineering
    • Signal Processing

    Background:

    • Deep Brain Stimulation (DBS) is effective for Parkinson's disease (PD) when drug therapy fails.
    • Current DBS is open-loop, delivering a non-customized stimulation.
    • Customizing DBS to patient tasks could reduce side effects.

    Purpose of the Study:

    • To develop a method for single-trial recognition of patient behavioral tasks using local field potential (LFP) signals.
    • To enable closed-loop feedback control for optimizing DBS parameters in real-time.

    Main Methods:

    • Utilized wavelet coefficients as features from LFP signals.
    • Employed a Support Vector Machine (SVM) classifier.
    • Tested recognition for speech, motor, and random behaviors.

    Main Results:

    • Achieved 82.4% accuracy for binary classification of tasks.
    • Reached 73.2% accuracy for classifying three distinct tasks (speech, motor, random).

    Conclusions:

    • The proposed LFP-based method shows promise for real-time behavioral task recognition.
    • This technology can be integrated into closed-loop systems to personalize DBS therapy.
    • Optimizing DBS parameters based on behavioral goals may enhance treatment efficacy and minimize side effects.