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Related Experiment Video

Updated: Oct 16, 2025

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Peak selection and latency jitter correction in developmental event-related potentials.

Maggie W Guy1, Stefania Conte2, Aslı Bursalıoğlu1

  • 1Department of Psychology, Loyola University Chicago, Chicago, Illinois, USA.

Developmental Psychobiology
|October 21, 2021
PubMed
Summary

Developmental neuroscience research using event-related potentials (ERPs) can improve accuracy by using data-driven methods to identify component latency and the ReSync toolbox to correct for ERP latency jitter in children.

Keywords:
childevent-related potentialsinfantlatency

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Area of Science:

  • Neuroscience
  • Developmental Psychology
  • Cognitive Science

Background:

  • Event-related potentials (ERPs) are crucial for understanding neural responses.
  • Developmental ERP research faces challenges due to inconsistent methods for quantifying component latency.
  • Existing peak selection methods may not fully address trial-by-trial variability (latency jitter).

Purpose of the Study:

  • To review common practices for ERP component latency selection in developmental research.
  • To advocate for data-driven approaches to identify component latency within individual participants.
  • To introduce and demonstrate the utility of the ReSync MATLAB toolbox for correcting ERP latency jitter in pediatric datasets.

Main Methods:

  • Analytical review of popular ERP analysis conventions.
  • Application and demonstration of the ReSync toolbox on infant and child ERP data.
  • Development of a peak detection script for use with the ReSync toolbox.

Main Results:

  • A data-driven strategy for component latency identification can improve upon general peak selection methods.
  • ERP latency jitter can obscure average ERP waveforms and lead to misinterpretation of neural mechanisms.
  • The ReSync toolbox, adapted for developmental research, effectively corrects latency jitter in individual pediatric datasets.

Conclusions:

  • Adopting precise, study-specific component selection and latency correction strengthens developmental ERP research.
  • Reducing noise and improving neural response representation enhances the reliability of ERP findings in children.
  • The ReSync toolbox offers a valuable method for addressing latency jitter in pediatric ERP studies.