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

Selective averaging of evoked potentials using trajectory-based clustering

B H Jansen1, H N Nyberg, G Zouridakis

  • 1Department of Electrical Engineering, University of Houston.

Methods of Information in Medicine
|March 1, 1994
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

Environmental factors shaping the gut microbiome in a Dutch population.

Nature·2022
Same author

Genetic Risk Scores Identify Genetic Aetiology of Inflammatory Bowel Disease Phenotypes.

Journal of Crohn's & colitis·2020
Same author

Classification of sleep patterns by means of markov modeling and correspondence analysis.

IEEE transactions on pattern analysis and machine intelligence·2011
Same author

A neural network model of normal and abnormal auditory information processing.

Neural networks : the official journal of the International Neural Network Society·2011
Same author

Monitoring and real-time interpretation I.

Methods of information in medicine·2011
Same author

Large-scale cortical networks estimated from scalp EEG signals during performance of goal-directed motor tasks.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2010
Same journal

Design and methodological development of a digital clinical safety training programme informed by a national framework: a New Zealand case study.

Methods of information in medicine·2026
Same journal

Panic Prediction from Digital Phenotyping: Subject-Level Cross-Validation Reveals Limited Between-Person Generalization.

Methods of information in medicine·2026
Same journal

Agent-Based Modeling Approach for Population Dynamics of the Biological Vector Aedes Aegypti.

Methods of information in medicine·2026
Same journal

A Statistical Framework for Person-centered Analysis of Digital Service Use in Public Health and Social Care.

Methods of information in medicine·2026
Same journal

Assessing the Quality of Electronic Discharge Summaries: A Cross-Sectional Study Using the Validated Spanish Version of the PDQI-9.

Methods of information in medicine·2026
Same journal

A Knowledge Graph-Driven Hypergeometric Efficacy Prediction Model for Classical Traditional Chinese Herbal Formulas.

Methods of information in medicine·2026
See all related articles

A new clustering method groups evoked potentials by analyzing prestimulus brain activity dynamics. This approach reveals connections between electroencephalography (EEG) signals and evoked potential characteristics.

Area of Science:

  • Neuroscience
  • Signal Processing
  • Computational Biology

Background:

  • Evoked potentials reflect neural responses to stimuli.
  • Prestimulus electroencephalography (EEG) dynamics can influence evoked potential generation.
  • Quantifying these prestimulus dynamics is crucial for understanding neural processing.

Purpose of the Study:

  • To develop and validate a novel clustering method for evoked potentials.
  • To investigate the relationship between prestimulus EEG dynamics and evoked potential characteristics.
  • To apply the method to visual evoked potentials.

Main Methods:

  • Time delay embedding to construct state-space trajectories from time series data.
  • Definition of geometric features characterizing the state-space trajectories.

Related Experiment Videos

  • Application of a trajectory-based clustering algorithm to visual evoked potentials.

    • Main Results:

    • Successful grouping of evoked potentials based on similar prestimulus dynamic behavior.
    • Identification of distinct clusters within visual evoked potentials.
    • Demonstration of correlations between specific prestimulus EEG patterns and evoked potential shapes.

    Conclusions:

    • The developed clustering method effectively links prestimulus neural dynamics to evoked potential features.
    • This approach offers a new tool for analyzing brain responses and understanding neural variability.
    • Further research can explore applications in various cognitive and clinical neuroscience domains.