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 Experiment Videos

Simultaneous MEG and EEG source analysis.

H M Huizenga1, T L van Zuijen, D J Heslenfeld

  • 1Department of Psychology, University of Amsterdam, The Netherlands. op_huizenga@macmail.psy.uva.nl

Physics in Medicine and Biology
|July 28, 2001
PubMed
Summary
This summary is machine-generated.

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

Predicting Progression to Parkinson's Disease Dementia Using Multivariate Normative Comparisons.

Journal of the International Neuropsychological Society : JINS·2019
Same author

The Course of Neurocognitive Functioning and Prediction of Behavioral Outcome of ADHD Affected and Unaffected Siblings.

Journal of abnormal child psychology·2018
Same author

Time course analyses of orthographic and phonological priming effects in developing readers.

Quarterly journal of experimental psychology (2006)·2017
Same author

Universal Scale of Intelligence Estimates (USIE): Representing Intelligence Estimated From Level of Education.

Assessment·2016
Same author

Interplay between stress response genes associated with attention-deficit hyperactivity disorder and brain volume.

Genes, brain, and behavior·2016
Same author

Adolescent behavioral and neural reward sensitivity: a test of the differential susceptibility theory.

Translational psychiatry·2016

This study introduces a novel method for simultaneous Magnetoencephalography (MEG) and Electroencephalography (EEG) source analysis. The approach enhances the accuracy of estimating neural activity and tissue conductivity, improving brain imaging precision.

Area of Science:

  • Neuroscience
  • Biophysics
  • Biomedical Engineering

Background:

  • Magnetoencephalography (MEG) and Electroencephalography (EEG) are crucial non-invasive neuroimaging techniques.
  • Accurate source localization and estimation of neural activity remain challenging, particularly for deep or superficial sources.
  • Simultaneous analysis of MEG and EEG data offers potential benefits due to their complementary sensitivities.

Purpose of the Study:

  • To develop and validate a method for simultaneous MEG and EEG source analysis.
  • To estimate neural source locations, moments, and tissue conductivity.
  • To assess the advantages of combined MEG-EEG analysis over MEG-only or EEG-only approaches.

Main Methods:

  • A novel source analysis method was developed for combined MEG and EEG data.

Related Experiment Videos

  • Simulation studies were conducted using both concentric sphere and boundary element models.
  • The method derives source and conductivity estimates, along with their covariance matrix.
  • Main Results:

    • Simultaneous MEG-EEG analysis improves source localization accuracy for both deep and superficial neural sources.
    • The method enables estimation of the radial source component, which is not possible with MEG alone.
    • Conductivity estimation significantly enhances the precision of source analysis, even with imperfect conductivity identification.
    • Adding even a few EEG sensors to a MEG configuration yields substantial benefits.

    Conclusions:

    • Simultaneous MEG and EEG source analysis provides a more comprehensive and accurate picture of neural activity.
    • The developed method offers significant advantages over traditional single-modality approaches.
    • Accurate estimation of tissue conductivity is crucial for improving the precision of neuroimaging.