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

Electrostatic Boundary Conditions01:16

Electrostatic Boundary Conditions

935
Consider an external electric field propagating through a homogeneous medium. When the electric field crosses the surface boundary of the medium, it undergoes a discontinuity. The electric field can be resolved into normal and tangential components. The amount by which the field changes at any boundary is given by the difference between the field components above and below the surface boundary.
The surface integral of an electric field is given by Gauss's law in integral form and is related to...
935
Magnetostatic Boundary Conditions01:28

Magnetostatic Boundary Conditions

1.6K
An electric field suffers a discontinuity at a surface charge. Similarly, a magnetic field is discontinuous at a surface current. The perpendicular component of a magnetic field is continuous across the interface of two magnetic mediums. In contrast, its parallel component, perpendicular to the current, is discontinuous by the amount equal to the product of the vacuum permeability and the surface current. Like the scalar potential in electrostatics, the vector potential is also continuous...
1.6K
Fast Decoupled and DC Powerflow01:24

Fast Decoupled and DC Powerflow

728
The fast decoupled power flow method addresses contingencies in power system operations, such as generator outages or transmission line failures. This method provides quick power flow solutions, essential for real-time system adjustments. Fast decoupled power flow algorithms simplify the Jacobian matrix by neglecting certain elements, leading to two sets of decoupled equations:
728
Boundary Conditions for Current Density01:25

Boundary Conditions for Current Density

1.3K
Current density becomes discontinuous across an interface of materials with different electrical conductivities. The normal component of the current density is continuous across the boundary.
1.3K
Boundary Conditions: Lossless Lines01:21

Boundary Conditions: Lossless Lines

425
Consider a single-phase, two-wire, lossless transmission line terminated by an impedance at the receiving end and a source with Thevenin voltage and impedance at the sending end. The line, with length, has a surge impedance and wave velocity determined by the line's inductance and capacitance.
At the receiving end, the boundary condition states that the voltage equals the product of the receiving-end impedance and current. This relationship is expressed as a function of the incident and...
425
Electrostatic Boundary Conditions in Dielectrics01:27

Electrostatic Boundary Conditions in Dielectrics

1.9K
When an electric field passes from one homogeneous medium to another, crossing the boundary between the two mediums imparts a discontinuity in the electric field. This results in electrostatic boundary conditions that depend on the type of mediums the field propagates through.
Consider a case where both the mediums across a boundary are two different dielectric materials. Recall that the electric field and electric displacement are proportional and related through the material's permittivity....
1.9K

You might also read

Related Articles

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

Sort by
Same author

Neural tracking of prosodic and statistical rhythms jointly supports artificial language learning.

iScience·2026
Same author

Influence of frequency and pulse train duration on respiratory responses during transcutaneous phrenic nerve stimulation in humans.

Journal of neural engineering·2026
Same author

Early Sepsis Detection Using Heterogeneous Structured ICU Data with Explainable Deep Learning.

Sensors (Basel, Switzerland)·2026
Same author

Standardizing TMS Intensity Across Different Coils Using Individualized Electric Field Modeling.

Human brain mapping·2026
Same author

Erratum: Multivariate assessment of the central-cardiorespiratory network structure in neuropathological disease (2018<i>Physiol. Meas</i>.<b>39</b>074004).

Physiological measurement·2026
Same author

An ultra-sensitive multi-channel MEG system for the non-invasive single-trial detection of cortical population spikes.

Scientific reports·2026
Same journal

Segmentation of the parasagittal dura mater on multi-center 3D-FLAIR MRI.

NeuroImage·2026
Same journal

Spatial frequency channels implement a mental ruler in spatial vision.

NeuroImage·2026
Same journal

Exploring the Link Between Intravoxel Incoherent Motion Measured Brain Diffusivity During Wakefulness and Sleep Macrostructure in the Elderly.

NeuroImage·2026
Same journal

Closed-loop adaptation of transcranial magnetic stimulation intensity with electroencephalography feedback.

NeuroImage·2026
Same journal

Volumetric postmortem MRI of the medial temporal lobe in Alzheimer's disease and related disorders: methodological advances and implications for in vivo biomarker development.

NeuroImage·2026
Same journal

Neural responses to equity and inequity when receiving vicarious rewards for self and charity during adolescence.

NeuroImage·2026
See all related articles

Related Experiment Video

Updated: Jan 17, 2026

Cortical Source Analysis of High-Density EEG Recordings in Children
09:32

Cortical Source Analysis of High-Density EEG Recordings in Children

Published on: June 30, 2014

21.9K

High-definition MEG source estimation using the reciprocal boundary element fast multipole method.

Guillermo Nuñez Ponasso1, Derek A Drumm2, Abbie Wang2

  • 1Department of Electrical & Computer Engineering, Worcester Polytechnic Institute, Worcester, MA, USA; Graduate School of Information Sciences, Division of Mathematics, Tohoku University, Sendai, Miyagi, Japan.

Neuroimage
|September 22, 2025
PubMed
Summary
This summary is machine-generated.

This study introduces a faster method for magnetoencephalography (MEG) source estimation by efficiently calculating the gain matrix. This computational advance enables high-resolution brain imaging with up to one million dipoles.

More Related Videos

Magnetic Resonance Derived Myocardial Strain Assessment Using Feature Tracking
07:21

Magnetic Resonance Derived Myocardial Strain Assessment Using Feature Tracking

Published on: February 12, 2011

14.8K
Interictal High Frequency Oscillations Detected with Simultaneous Magnetoencephalography and Electroencephalography as Biomarker of Pediatric Epilepsy
10:22

Interictal High Frequency Oscillations Detected with Simultaneous Magnetoencephalography and Electroencephalography as Biomarker of Pediatric Epilepsy

Published on: December 6, 2016

21.1K

Related Experiment Videos

Last Updated: Jan 17, 2026

Cortical Source Analysis of High-Density EEG Recordings in Children
09:32

Cortical Source Analysis of High-Density EEG Recordings in Children

Published on: June 30, 2014

21.9K
Magnetic Resonance Derived Myocardial Strain Assessment Using Feature Tracking
07:21

Magnetic Resonance Derived Myocardial Strain Assessment Using Feature Tracking

Published on: February 12, 2011

14.8K
Interictal High Frequency Oscillations Detected with Simultaneous Magnetoencephalography and Electroencephalography as Biomarker of Pediatric Epilepsy
10:22

Interictal High Frequency Oscillations Detected with Simultaneous Magnetoencephalography and Electroencephalography as Biomarker of Pediatric Epilepsy

Published on: December 6, 2016

21.1K

Area of Science:

  • Biophysics
  • Neuroscience
  • Computational Science

Background:

  • Magnetoencephalography (MEG) source estimation requires computing the gain (lead-field) matrix, a computationally intensive process.
  • Direct calculation of the gain matrix with realistic forward models limits standard MEG pipelines to approximately 10,000 dipolar sources.
  • Efficient gain matrix computation is crucial for advancing high-resolution MEG source localization.

Purpose of the Study:

  • To develop a fast computational approach for calculating the MEG gain matrix.
  • To enable high-resolution source estimation with significantly more dipoles than previously feasible.
  • To validate the proposed method using simulated and experimental MEG data.

Main Methods:

  • Leveraging the reciprocal relationship between MEG and transcranial magnetic stimulation (TMS).
  • Coupling this reciprocal relationship with the charge-based boundary element fast multipole method (BEM-FMM).
  • Generating gain matrices for high-resolution multi-layer non-nested meshes with up to 1 million dipoles.

Main Results:

  • Successfully generated gain matrices for source spaces up to 1 million dipoles.
  • Performed minimum norm estimate (MNE) source localization on simulated and experimental MEG data with high accuracy.
  • Demonstrated the efficacy of the method compared to standard 1- and 3-layer Boundary Element Method (BEM) and Finite Element Method (FEM) models.

Conclusions:

  • The proposed fast computational approach significantly enhances the efficiency of MEG gain matrix calculation.
  • This method allows for unprecedented high-resolution MEG source estimation, overcoming previous computational limitations.
  • The validated approach offers a powerful tool for advanced neuroimaging research.