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

A multiresolution framework to MEG/EEG source imaging.

L Gavit1, S Baillet, J F Mangin

  • 1Cognitive Neuroscience and Brain Imaging Laboratory, CNRS UPR 640, La Salpetriere Hospital, Paris, France.

IEEE Transactions on Bio-Medical Engineering
|October 5, 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

Chronic metal contamination shapes the size structure of Gammarus fossarum populations in French headwater rivers.

Ecotoxicology (London, England)·2024
Same author

Avoidance behaviour of aquatic macroinvertebrates for real-time detection of micropollutant surge in wastewater effluents.

Water research·2023
Same author

Development of cortical folds in the human brain: An attempt to review biological hypotheses, early neuroimaging investigations and functional correlates.

Developmental cognitive neuroscience·2023
Same author

Age-related changes of deep-brain neurophysiological activity.

Cerebral cortex (New York, N.Y. : 1991)·2022
Same author

Biomarkers of Age-Related Frailty and Frailty Related to Diseases: An Exploratory, Cross-Sectional Analysis from the MAPT Study.

The journal of nutrition, health & aging·2022
Same author

Physical Activity and Changes in White Matter Hyperintensities over Three Years.

The journal of nutrition, health & aging·2018
Same journal

Magnetic Resonance Spectroscopy Deep Learning with Magnetic Resonance Background Generator Enables In Vivo Metabolite Quantification of Hepatic Encephalopathy.

IEEE transactions on bio-medical engineering·2026
Same journal

Use of RPNIs and Implanted Electrodes for Prosthetic Wrist and Multi-Grip Hand Control during Functional Tasks: A Case Study.

IEEE transactions on bio-medical engineering·2026
Same journal

Healthy Limb Driven Prediction for Real Time Control of Unilateral Exoskeletons in Gait Rehabilitation.

IEEE transactions on bio-medical engineering·2026
Same journal

A Miniature Wearable Ultrasound System for Continuous Bladder Monitoring with Sleeping-Position-Robust Modeling Strategies.

IEEE transactions on bio-medical engineering·2026
Same journal

A Bi-objective Array Optimization Framework for Magnetocardiographic Source Imaging.

IEEE transactions on bio-medical engineering·2026
Same journal

A Dynamic Mutual Information Measure of Phase-Amplitude Coupling with Uncertainty Quantification.

IEEE transactions on bio-medical engineering·2026
See all related articles

A novel multiresolution method enhances brain electrical activity reconstruction from EEG/MEG signals. This approach improves computational efficiency and accuracy in identifying focal cortical current density patterns.

Area of Science:

  • Neuroscience
  • Biophysics
  • Medical Imaging

Background:

  • Reconstructing brain electrical activity from electroencephalogram (EEG) and magnetoencephalogram (MEG) signals is an ill-posed inverse problem.
  • Accurate source localization is crucial for understanding brain function and dysfunction.

Purpose of the Study:

  • To introduce a new multiresolution approach for improved brain electrical activity reconstruction.
  • To enhance the spatial resolution of source localization in distributed source models.

Main Methods:

  • A multiresolution, iterative algorithm constraining the source space at higher spatial resolutions.
  • An extension of the ST-maximum a posteriori method integrating spatial and temporal prior information.
  • Validation using EEG data from a phantom head and MEG data from a healthy subject.

Related Experiment Videos

Main Results:

  • The proposed multiresolution method demonstrated superior efficiency in terms of computational load and result quality.
  • It proved more effective in identifying sparse focal patterns of cortical current density compared to fixed-scale methods.
  • Performance was validated against commonly used dipolar and minimum-norm methods.

Conclusions:

  • The multiresolution approach offers a more efficient and accurate solution for brain electrical activity reconstruction.
  • This method advances the capability for precise localization of cortical current sources.
  • The findings suggest a significant improvement over existing fixed-scale imaging techniques.