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

Hearing01:31

Hearing

48.1K
When we hear a sound, our nervous system is detecting sound waves—pressure waves of mechanical energy traveling through a medium. The frequency of the wave is perceived as pitch, while the amplitude is perceived as loudness.
48.1K
The Cochlea01:13

The Cochlea

41.1K
The cochlea is a coiled structure in the inner ear that contains hair cells—the sensory receptors of the auditory system. Sound waves are transmitted to the cochlea by small bones attached to the eardrum called the ossicles, which vibrate the oval window that leads to the inner ear. This causes fluid in the chambers of the cochlea to move, vibrating the basilar membrane.
41.1K
Doppler Effect - II01:05

Doppler Effect - II

4.2K
The Doppler effect has several practical, real-world applications. For instance, meteorologists use Doppler radars to interpret weather events based on the Doppler effect. Typically, a transmitter emits radio waves at a specific frequency toward the sky from a weather station. The radio waves bounce off the clouds and precipitation and travel back to the weather station. The radio frequency of the waves reflected back to the station appears to decrease if the clouds or precipitation are moving...
4.2K
Echo01:06

Echo

1.2K
The human ear cannot distinguish between two sources of sound if they happen to reach within a specific time interval, typically 0.1 seconds apart. More than this, and they are perceived as separate sources.
Imagine the sound is reflected back to the ears. Assuming that the source is very close to the human, the difference between hearing the two sounds—the emitted sound and the reflected sound—may be more than the minimum time for perceiving distinct sounds. If this is the case,...
1.2K

You might also read

Related Articles

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

Sort by
Same author

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

Human brain mapping·2026
Same author

Cellular Mechanisms of Transcranial Magnetic Stimulation in Climbing Fibers and Purkinje Neurons in the Cerebellum.

bioRxiv : the preprint server for biology·2026
Same author

Muscle anisotropy influences the phrenic nerve activation threshold in non-invasive electrical stimulation.

Medical & biological engineering & computing·2026
Same author

How Low-Frequency Neural Activity Structures Language in Time.

Neurobiology of language (Cambridge, Mass.)·2026
Same author

Experimental Validation of Finite Element Models for Directional DBS: The Critical Role of Boundary Conditions on VTA Accuracy.

bioRxiv : the preprint server for biology·2026
Same author

Direct Reconstruction of DC Cortical Conductivity from Large-Scale Electron Microscopy Data.

bioRxiv : the preprint server for biology·2026
Same journal

Complex Indel Detection: A Simulation-Based Framework and Parsing with FreeBayes.

bioRxiv : the preprint server for biology·2026
Same journal

Emulating the gingival-tooth interface during bacterial, fungal, and viral infection in a microphysiological model of the human oral cavity.

bioRxiv : the preprint server for biology·2026
Same journal

Local SNP-explained methylation variation reveals genetically anchored and exposure-associated methylation architecture in the human brain.

bioRxiv : the preprint server for biology·2026
Same journal

Perinatal Semaglutide Treatment Improves Maternal Health and Mitigates Offspring Metabolic Dysfunction in a Mouse Model of Maternal Obesity.

bioRxiv : the preprint server for biology·2026
Same journal

Pervasive cryptic selection in the human noncoding genome.

bioRxiv : the preprint server for biology·2026
Same journal

Secreted ORF8 reprograms macrophages to enhance SARS-CoV-2 infection of lung epithelial cells.

bioRxiv : the preprint server for biology·2026
See all related articles
  1. Home
  3. Improved Source Localization Of Auditory Evoked Fields Using Reciprocal Bem-fmm.
  1. Home
  3. Improved Source Localization Of Auditory Evoked Fields Using Reciprocal Bem-fmm.

Related Experiment Video

Mapping Cortical Dynamics Using Simultaneous MEG/EEG and Anatomically-constrained Minimum-norm Estimates: an Auditory Attention Example
08:45

Mapping Cortical Dynamics Using Simultaneous MEG/EEG and Anatomically-constrained Minimum-norm Estimates: an Auditory Attention Example

Published on: October 24, 2012

14.6K

Improved Source Localization of Auditory Evoked Fields using Reciprocal BEM-FMM.

Derek A Drumm1, Guillermo Nuñez Ponasso1,2, Alexander Linke3,4

  • 1Dept. of Electrical & Computer Engineering, Worcester Polytechnic Institute, Worcester, MA, USA.

Biorxiv : the Preprint Server for Biology
|June 4, 2025

View abstract on PubMed

Summary
This summary is machine-generated.

This study demonstrates that high-resolution reciprocal boundary element fast multipole method (BEM-FMM) significantly improves auditory evoked field (AEF) source localization accuracy and focality compared to standard MNE-Python methods. These findings highlight the importance of model resolution in magnetoencephalography (MEG) source estimation.

More Related Videos

Best Current Practice for Obtaining High Quality EEG Data During Simultaneous fMRI
10:35

Best Current Practice for Obtaining High Quality EEG Data During Simultaneous fMRI

Published on: June 3, 2013

32.7K
Detecting Pre-Stimulus Source-Level Effects on Object Perception with Magnetoencephalography
09:25

Detecting Pre-Stimulus Source-Level Effects on Object Perception with Magnetoencephalography

Published on: July 26, 2019

6.8K

Related Experiment Videos

Mapping Cortical Dynamics Using Simultaneous MEG/EEG and Anatomically-constrained Minimum-norm Estimates: an Auditory Attention Example
08:45

Mapping Cortical Dynamics Using Simultaneous MEG/EEG and Anatomically-constrained Minimum-norm Estimates: an Auditory Attention Example

Published on: October 24, 2012

14.6K
Best Current Practice for Obtaining High Quality EEG Data During Simultaneous fMRI
10:35

Best Current Practice for Obtaining High Quality EEG Data During Simultaneous fMRI

Published on: June 3, 2013

32.7K
Detecting Pre-Stimulus Source-Level Effects on Object Perception with Magnetoencephalography
09:25

Detecting Pre-Stimulus Source-Level Effects on Object Perception with Magnetoencephalography

Published on: July 26, 2019

6.8K

Area of Science:

  • Neuroscience
  • Biophysics
  • Biomedical Engineering

Background:

  • Magnetoencephalography (MEG) is a non-invasive neuroimaging technique used to measure magnetic fields produced by electrical activity in the brain.
  • Accurate source localization of neural activity, particularly auditory evoked fields (AEFs), is crucial for understanding brain function.
  • Existing methods like MNE-Python (Minimum Norm Estimation) using low-resolution models have limitations in precision.

Purpose of the Study:

  • To apply and evaluate a high-resolution reciprocal boundary element fast multipole method (reciprocal BEM-FMM) for localizing auditory evoked fields (AEFs).
  • To compare the accuracy and focality of reciprocal BEM-FMM source estimates against MNE-Python using simulated and experimental AEF data.
  • To assess the impact of model resolution on the quality of MEG source estimation.

Main Methods:

  • Implementation of the reciprocal BEM-FMM technique for MEG source estimation.
  • Comparison with MNE-Python's source estimates using simulated N1m components of AEFs.
  • Validation with experimental AEF data from 7 participants undergoing binaural auditory stimulation.

Main Results:

  • The high-resolution reciprocal BEM-FMM method achieved significantly better accuracy and focality in localizing AEFs compared to the low-resolution 3-layer BEM used in MNE-Python.
  • Previous comparisons showed similar quality for evoked somatosensory fields, but this study highlights superior performance for AEFs.
  • Simulated and experimental data corroborated the improved performance of the high-resolution reciprocal BEM-FMM approach.

Conclusions:

  • High-resolution models, specifically the reciprocal BEM-FMM, play a significant role in enhancing the quality of MEG source estimates for AEFs.
  • The reciprocal BEM-FMM offers superior accuracy and focality, outperforming standard MNE methods.
  • This advanced technique holds promise for improving various applications within neuroscience and clinical diagnostics.