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

Spatiotemporal mapping of scalp potentials

D H Fender, T P Santoro

    Journal of the Optical Society of America
    |November 1, 1977
    PubMed
    Summary

    Researchers developed new computational methods to pinpoint the source of visually evoked scalp potentials (VESP) using white noise stimuli. This approach models the human head to precisely locate VESP origins for visual perception studies.

    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

    Models of the human brain and the surrounding media: their influence on the reliability of source localization.

    Journal of clinical neurophysiology : official publication of the American Electroencephalographic Society·1991
    Same author

    Dependence of Panum's fusional area on local retinal stimulation.

    Journal of the Optical Society of America. A, Optics and image science·1988
    Same author

    Hysteresis in human binocular fusion: temporalward and nasalward ranges.

    Journal of the Optical Society of America. A, Optics and image science·1987
    Same author

    Separation of a nonstationary component from the EEG by a nonlinear digital filter.

    IEEE transactions on bio-medical engineering·1986
    Same author

    Eye movements and neural remapping during fusion of misaligned random-dot stereograms.

    Journal of the Optical Society of America·1983
    Same author

    A method for locating scalp electrodes in spherical coordinates.

    IEEE transactions on bio-medical engineering·1981

    Area of Science:

    • Neuroscience
    • Computational Biology
    • Visual Perception

    Background:

    • Visually Evoked Scalp Potentials (VESP) are crucial for understanding visual processing.
    • Identifying the precise origin of VESP signals has been a persistent challenge.
    • Traditional flash stimuli have limitations in VESP analysis.

    Purpose of the Study:

    • To develop and apply advanced computational analysis and display techniques for pinpointing VESP origins.
    • To introduce and evaluate white noise as a novel stimulus for VESP research.
    • To create a dynamic model of the human head for VESP source localization.

    Main Methods:

    • Utilized computerized analysis and contour mapping algorithms to visualize equipotential scalp surfaces.
    • Employed white noise as a new stimulus for eliciting VESP.
    • Developed a biophysical head model with electrical and geometrical parameters.
    • Used computer graphics to generate movie displays of scalp potential fields and internal dipole sources.
    • Optimized dipole source location and strength to match experimental VESP data.

    Main Results:

    • White-noise VESP exhibits distinct time-domain behaviors compared to flash stimuli.
    • The head model successfully generated electrical fields matching experimental VESP data.
    • Identified optimal parameters for one or two internal dipole sources to explain observed scalp potentials.
    • Demonstrated the capability to visualize the dynamic evolution of scalp potentials and dipole activity.

    Conclusions:

    • Computerized analysis and modeling provide effective methods for localizing VESP origins.
    • White noise is a viable and informative stimulus for VESP research.
    • The developed techniques offer a powerful tool for investigating visual perception mechanisms such as retinotopy, fusion, and texture perception.

    Related Experiment Videos