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

Plant stress early detection through a low-cost multispectral device: Toward safer and more sustainable agricultural practices.

iScience·2026
Same author

Integrated bio-cooperative robotic platform for virtual cognitive training in Parkinson's disease: design and methodology of the OPERA project.

Frontiers in neurology·2026
Same author

Hierarchical Classification of EMG Signal for Hand and Wrist Gestures and Forces in Myoelectric Control.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society·2026
Same author

Behavioral Cloning of Physiotherapists in Adapting Robot Control Parameter.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society·2026
Same author

Defining the user needs for an assistive pediatric hand exoskeleton: An Italian explorative survey.

Assistive technology : the official journal of RESNA·2026
Same author

SPARSE data, rich results: Few-shot semi-supervised learning via class-conditioned image translation.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society·2026

Related Experiment Video

Updated: Aug 29, 2025

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

9.0K

Multiscale approach for tFUS neurocomputational modelling.

Alessia Scarpelli, Mattia Stefano, Francesca Cordella

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
    |September 10, 2022
    PubMed
    Summary

    Trans cranial Focused Ultrasound Stimulation (tFUS) shows promise for non-invasive brain stimulation. Computational models help predict neural cell responses to ultrasound, with minimal latency and firing rate changes observed across different stimulus duty cycles.

    More Related Videos

    Modeling the Functional Network for Spatial Navigation in the Human Brain
    05:55

    Modeling the Functional Network for Spatial Navigation in the Human Brain

    Published on: October 13, 2023

    1.2K
    Whole-Brain 3D Activation and Functional Connectivity Mapping in Mice using Transcranial Functional Ultrasound Imaging
    11:57

    Whole-Brain 3D Activation and Functional Connectivity Mapping in Mice using Transcranial Functional Ultrasound Imaging

    Published on: February 24, 2021

    10.4K

    Related Experiment Videos

    Last Updated: Aug 29, 2025

    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

    9.0K
    Modeling the Functional Network for Spatial Navigation in the Human Brain
    05:55

    Modeling the Functional Network for Spatial Navigation in the Human Brain

    Published on: October 13, 2023

    1.2K
    Whole-Brain 3D Activation and Functional Connectivity Mapping in Mice using Transcranial Functional Ultrasound Imaging
    11:57

    Whole-Brain 3D Activation and Functional Connectivity Mapping in Mice using Transcranial Functional Ultrasound Imaging

    Published on: February 24, 2021

    10.4K

    Area of Science:

    • Neuroscience
    • Biomedical Engineering
    • Computational Biology

    Background:

    • Non-invasive brain stimulation techniques are crucial for neurological research and therapy.
    • Trans cranial Focused Ultrasound Stimulation (tFUS) offers superior tissue penetration and spatial resolution compared to other methods.
    • Computational modeling of ultrasound propagation is essential for understanding its effects on neural tissues.

    Purpose of the Study:

    • To investigate the response of a cortical Regular Spiking (RS) neuron model to trans cranial Focused Ultrasound Stimulation (tFUS).
    • To analyze the impact of varying stimulus Duty Cycle (DC) on neural cell behavior under tFUS.
    • To employ a multiscale approach coupling macroscale wave propagation simulations with microscale neuron models.

    Main Methods:

    • Development of computational models for ultrasound wave propagation in brain tissue.
    • Simulation of ultrasound propagation using a macroscale approach.
    • Coupling macroscale wave propagation results with a Hodgkin-Huxley based Regular Spiking (RS) point neuron model.
    • Analysis of neural response metrics including latency and firing rate.

    Main Results:

    • Neural cell latency and firing rate exhibited minor variations along the ultrasound beam's propagation path within the focal region.
    • The observed variations in neural response were consistent across different stimulus Duty Cycles (DC).
    • The study successfully integrated macroscale and microscale simulations to predict neural responses.

    Conclusions:

    • The study demonstrates the feasibility of using computational models to predict neural cell responses to tFUS.
    • Results suggest that tFUS parameters, specifically Duty Cycle, have a limited impact on neural response latency and firing rate in the simulated cortical region.
    • This multiscale modeling approach provides a valuable tool for optimizing tFUS protocols for brain stimulation.