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 Video

Updated: Jul 2, 2026

Mapping Cortical Dynamics Using Simultaneous MEG/EEG and Anatomically-constrained Minimum-norm Estimates: an Auditory Attention Example
08:45

Mapping Cortical Dynamics Using Simultaneous MEG/EEG and Anatomically-constrained Minimum-norm Estimates: an Auditory Attention Example

Published on: October 24, 2012

Cortex-anchored sensor-space harmonics for event-related EEG.

Hyung G Park1

  • 1Department of Population Health, NYU Grossman School of Medicine, 180 Madison Ave., New York, 10016, United States.

Journal of Neural Engineering
|June 30, 2026
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

A Bayesian likely responder approach for the analysis of randomized controlled trials.

Statistical methods in medical research·2026
Same author

Low Frequency Oscillations in the Medial Orbitofrontal Cortex Mediate Widespread Hyperalgesia Across Pain Conditions.

medRxiv : the preprint server for health sciences·2025
Same author

Bayesian estimation of covariate assisted principal regression for brain functional connectivity.

Biostatistics (Oxford, England)·2024
Same author

Bayesian Index Models for Heterogeneous Treatment Effects on a Binary Outcome.

Statistics in biosciences·2023
Same author

Functional additive models for optimizing individualized treatment rules.

Biometrics·2021
Same author

Logistic regression error-in-covariate models for longitudinal high-dimensional covariates.

Stat·2020

We developed a new cortex-anchored sensor-space basis for electroencephalography (EEG) event-related potentials (ERPs). This method compactly represents whole-scalp ERPs, linking them to cortical organization for improved analysis.

Area of Science:

  • Neuroscience
  • Biomedical Engineering
  • Signal Processing

Background:

  • Scalp electroencephalography (EEG) measures event-related potentials (ERPs) with high temporal precision but limited spatial resolution.
  • Current ERP analysis often uses electrode coordinates or data-driven components, lacking direct links to cortical anatomy.
  • A spatially precise, anatomy-linked sensor-space representation is needed for improved EEG analysis.

Purpose of the Study:

  • To develop and evaluate a novel cortex-anchored sensor-space basis for analyzing event-related EEG.
  • To create a multiscale dictionary of basis functions derived from cortical anatomy.
  • To benchmark this new basis against existing methods for representing ERP data.

Main Methods:

  • Constructed a sensor-space dictionary by forward-projecting cortical Laplace-Beltrami (LB) eigenmodes through a realistic EEG head model.
Keywords:
Laplace-Beltrami eigenmodesevent-related potentialsevoked EEGforward modelsensor-space basis

More Related Videos

Cortical Source Analysis of High-Density EEG Recordings in Children
09:32

Cortical Source Analysis of High-Density EEG Recordings in Children

Published on: June 30, 2014

High Density Event-related Potential Data Acquisition in Cognitive Neuroscience
08:33

High Density Event-related Potential Data Acquisition in Cognitive Neuroscience

Published on: April 16, 2010

Related Experiment Videos

Last Updated: Jul 2, 2026

Mapping Cortical Dynamics Using Simultaneous MEG/EEG and Anatomically-constrained Minimum-norm Estimates: an Auditory Attention Example
08:45

Mapping Cortical Dynamics Using Simultaneous MEG/EEG and Anatomically-constrained Minimum-norm Estimates: an Auditory Attention Example

Published on: October 24, 2012

Cortical Source Analysis of High-Density EEG Recordings in Children
09:32

Cortical Source Analysis of High-Density EEG Recordings in Children

Published on: June 30, 2014

High Density Event-related Potential Data Acquisition in Cognitive Neuroscience
08:33

High Density Event-related Potential Data Acquisition in Cognitive Neuroscience

Published on: April 16, 2010

  • Used the ERP-CORE dataset (7 paradigms, 39 participants) for evaluation.
  • Compared the LB basis to spherical harmonics and group PCA/ICA bases using metrics like reconstruction efficiency, energy concentration, reliability, and topographic reconstruction.

    • Main Results:

    • The LB basis demonstrated comparable reconstruction efficiency to spherical harmonics but concentrated evoked time-frequency energy more effectively in lower-order modes.
    • The first 10 LB modes captured ~70% of normalized time-frequency energy for several canonical ERPs (N170, N400, P3b, ERN), unlike spherical harmonics which required more modes.
    • LB mode scores showed moderate-to-excellent reliability, and 10-15 LB modes accurately reconstructed canonical ERP contrast maps while preserving spatial organization.

    Conclusions:

    • Forward-mapped LB eigenmodes offer a compact, anatomy-linked sensor representation for event-related EEG.
    • This novel basis complements existing spherical and data-adaptive methods by providing a reusable, geometry-informed coordinate system.
    • The proposed sensor-space basis effectively captures whole-scalp ERP structure while maintaining a link to cortical organization.