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

MRI-based estimation of physiologically consistent head conductivity and its impact on depth-dependent electric field distributions in transcranial magnetic stimulation.

Journal of neural engineering·2026
Same author

Improved Somatotopic Consistency of EEG Source Localization Using a Personalized Segmentation-Free Head Model.

Brain topography·2026
Same author

From normalized databases of tissue dielectric properties to personalized electromagnetic modeling: revisiting a foundational paradigm.

Physics in medicine and biology·2026
Same author

Frequency-Dependent Effects of Transcranial Alternating Current Stimulation on Cerebro-Cerebellar Connectivity and Sensorimotor Performance.

The European journal of neuroscience·2026
Same author

Spectral envelopes of facial movements predict intention, cortical representations, and neural prosthetic control.

bioRxiv : the preprint server for biology·2026
Same author

Effect of staircasing artifacts on induced electric field assessment for low-frequency magnetic exposure.

Physics in medicine and biology·2026

Related Experiment Video

Updated: Apr 25, 2026

Assessment of Neuromuscular Function Using Percutaneous Electrical Nerve Stimulation
07:53

Assessment of Neuromuscular Function Using Percutaneous Electrical Nerve Stimulation

Published on: September 13, 2015

22.1K

Multi-scale simulations predict responses to non-invasive nerve root stimulation.

Ilkka Laakso1, Hideyuki Matsumoto, Akimasa Hirata

  • 1Department of Computer Science and Engineering, Nagoya Institute of Technology, Gokiso-cho, Showa-ku, Nagoya 466-8555, Japan.

Journal of Neural Engineering
|August 14, 2014
PubMed
Summary

New computer simulations accurately predict which neurons activate during non-invasive brain stimulation. This advances understanding of electrical currents in the body, improving targeting for potential new therapeutic applications.

More Related Videos

In Vivo Electrophysiological Measurements on Mouse Sciatic Nerves
11:07

In Vivo Electrophysiological Measurements on Mouse Sciatic Nerves

Published on: April 13, 2014

34.7K
Membrane Potentials, Synaptic Responses, Neuronal Circuitry, Neuromodulation and Muscle Histology Using the Crayfish: Student Laboratory Exercises
16:16

Membrane Potentials, Synaptic Responses, Neuronal Circuitry, Neuromodulation and Muscle Histology Using the Crayfish: Student Laboratory Exercises

Published on: January 18, 2011

59.3K

Related Experiment Videos

Last Updated: Apr 25, 2026

Assessment of Neuromuscular Function Using Percutaneous Electrical Nerve Stimulation
07:53

Assessment of Neuromuscular Function Using Percutaneous Electrical Nerve Stimulation

Published on: September 13, 2015

22.1K
In Vivo Electrophysiological Measurements on Mouse Sciatic Nerves
11:07

In Vivo Electrophysiological Measurements on Mouse Sciatic Nerves

Published on: April 13, 2014

34.7K
Membrane Potentials, Synaptic Responses, Neuronal Circuitry, Neuromodulation and Muscle Histology Using the Crayfish: Student Laboratory Exercises
16:16

Membrane Potentials, Synaptic Responses, Neuronal Circuitry, Neuromodulation and Muscle Histology Using the Crayfish: Student Laboratory Exercises

Published on: January 18, 2011

59.3K

Area of Science:

  • Computational neuroscience
  • Biophysics
  • Electromagnetic modeling

Background:

  • Established biophysical neuron models struggle to replicate human nervous system responses to non-invasive stimulation.
  • Understanding induced electric currents within the body is crucial for effective non-invasive stimulation.
  • The precise internal sites affected by non-invasive stimulation remain unclear.

Purpose of the Study:

  • To develop and validate a computational model for predicting neuronal activation by non-invasive stimulation.
  • To elucidate the distribution of electric currents within the human body during stimulation.
  • To improve the targeting and efficacy of non-invasive stimulation techniques.

Main Methods:

  • Multi-scale computer simulations combining microscopic neuronal excitation models with macroscopic electromagnetic whole-body anatomy models.
  • Utilizing advanced computing power and numerical algorithms for high-fidelity simulations.
  • Validating simulation outputs against experimental recordings of human motor root stimulation.

Main Results:

  • Simulations accurately reproduced experimentally recorded electrophysiological responses to magnetic and electrical motor root stimulation in humans.
  • Observed amplitudes and latencies of neuronal responses were consistently reproduced across various stimulation parameters.
  • The model provided detailed predictions of neuronal activation sites and patterns.

Conclusions:

  • Modern computational techniques can accurately predict neuronal activation during non-invasive stimulation.
  • Findings enhance the understanding of the physics and mechanisms underlying non-invasive stimulation.
  • This approach enables the development of novel applications with improved stimulation targeting.