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

On fast algorithms for interval selection in event related potentials.

I Garcia, J Mira, J S Da Fonseca

    International Journal of Bio-Medical Computing
    |November 1, 1986
    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

    Phase I dose-escalation single centre clinical trial to evaluate the safety of infusion of memory T cells as adoptive therapy in COVID-19 (RELEASE).

    EClinicalMedicine·2021
    Same author

    Fetal heart rate monitoring during fetoscopic repair of open spinal neural tube defects: a single-centre observational cohort study.

    International journal of obstetric anesthesia·2021
    Same author

    Spanish Society of Allergology and Clinical Immunology (SEAIC) Vision of Drug Provocation Tests.

    Journal of investigational allergology & clinical immunology·2021
    Same author

    Correction to: Pharmacometabolomics applied to zonisamide pharmacokinetic parameter prediction.

    Metabolomics : Official journal of the Metabolomic Society·2019
    Same author

    Pharmacometabolomics applied to zonisamide pharmacokinetic parameter prediction.

    Metabolomics : Official journal of the Metabolomic Society·2019
    Same author

    Solar cell designs by maximizing energy production based on machine learning clustering of spectral variations.

    Nature communications·2018
    Same journal

    Commentary on a futuristic model of patient record systems and telemedicine.

    International journal of bio-medical computing·1996
    Same journal

    Nonlinear eye movement detection method for drowsiness studies.

    International journal of bio-medical computing·1996
    Same journal

    Segmentation of auditory brainstem response signals.

    International journal of bio-medical computing·1996
    Same journal

    A comparison of neural network and Bayes recognition approaches in the evaluation of the brainstem trigeminal evoked potentials in multiple sclerosis.

    International journal of bio-medical computing·1996
    Same journal

    Methodology for using the UMLS as a background knowledge for the description of surgical procedures.

    International journal of bio-medical computing·1996
    Same journal

    An MLP-based model for identifying qEEG in depression.

    International journal of bio-medical computing·1996
    See all related articles

    A novel computational algorithm identifies event-related potential (ERP) components and their amplitude changes across electrode locations and experimental conditions. This method reveals how cognitive processing affects neural activity during visual information tasks.

    Area of Science:

    • Neuroscience
    • Computational Neuroscience
    • Cognitive Neuroscience

    Background:

    • Event-related potentials (ERPs) are crucial for understanding neural dynamics in response to stimuli.
    • Analyzing ERP components and their modulation by experimental factors is essential for cognitive research.
    • Existing methods may lack the precision to fully capture amplitude variations across scalp locations and conditions.

    Purpose of the Study:

    • To introduce a new computational algorithm for detecting ERP components.
    • To analyze how ERP component amplitudes vary with electrode site and experimental conditions.
    • To investigate cognitive processing differences using ERPs in visual information tasks.

    Main Methods:

    • Development of a novel computational algorithm for ERP component detection.

    Related Experiment Videos

  • Application of the algorithm to ERP data from two distinct experimental conditions.
  • Analysis of ERP amplitude modulation as a function of electrode location and cognitive task demands.

    • Main Results:

    • The algorithm successfully detected ERP components.
    • Significant amplitude variations were observed across different electrode locations.
    • Changes in experimental conditions, reflecting different cognitive processing modes, led to distinct ERP amplitude modulations.

    Conclusions:

    • The proposed algorithm provides a robust method for analyzing ERP component dynamics.
    • Electrode location and cognitive processing significantly influence ERP amplitudes.
    • This approach enhances the understanding of neural mechanisms underlying visual information processing.