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

Convolution computer processing of the brain electriacl image transmission.

P Nicolas, G Deloche

    International Journal of Bio-Medical Computing
    |April 1, 1976
    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

    Balint syndrome as the initial presentation of neuromyelitis optica spectrum disorder.

    Revue neurologique·2026
    Same author

    Adaptation of the gut pathobiont Enterococcus faecalis to deoxycholate and taurocholate bile acids.

    Scientific reports·2022
    Same author

    MACVIA-LR (Fighting Chronic Diseases for Active and Healthy Ageing in Languedoc-Roussillon): A Success Story of the European Innovation Partnership on Active and Healthy Ageing.

    The Journal of frailty & aging·2016
    Same author

    Isolation, Characterization and Virulence Potential of Tenacibaculum dicentrarchi in Salmonid Cultures in Chile.

    Transboundary and emerging diseases·2016
    Same author

    [Living Lab MACVIA. Disability].

    Presse medicale (Paris, France : 1983)·2015
    Same author

    Cloning of molecular markers for disease resistance in sunflower, Helianthus annuus L.

    TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik·2014

    This study presents a model for electrical activity propagation from the brain's cortex to the scalp. It details how cortical activity is imaged on the scalp using a transfer function, validated by simulations.

    Area of Science:

    • Neuroscience
    • Biophysics
    • Signal Processing

    Background:

    • Understanding the relationship between cerebral cortical electrical activity and scalp recordings is crucial for non-invasive brain monitoring.
    • Existing models often simplify the complex distribution of cortical sources, potentially limiting accuracy in interpreting electroencephalography (EEG) signals.

    Purpose of the Study:

    • To develop and validate a propagation model for electrical activities from the cerebral cortex to the scalp.
    • To investigate the influence of cortical source distribution and signal transfer on scalp electrical potentials.

    Main Methods:

    • Formulated general field equations based on a non-uniform dipolar sheet hypothesis for cortical sources.
    • Derived the electrical image of the cortex on the scalp via convolution of cortical potential and a transfer function.

    Related Experiment Videos

  • Conducted numerical evaluations on signal attenuation, electrode visual field, and approximation errors.
  • Performed simulation experiments to assess model behavior with complex electrical activities.

    • Main Results:

    • The model demonstrates that scalp electrical potentials are a convolution of cortical potential and a transfer function.
    • Numerical evaluations quantified signal attenuation and approximation errors associated with the model.
    • Simulation results validated the model's capability to represent complex electrical activities.

    Conclusions:

    • The proposed propagation model accurately describes the relationship between cortical electrical sources and scalp potentials.
    • This model provides a framework for better understanding and interpreting non-invasive neurophysiological signals like EEG.