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Related Experiment Videos

Resampling approach to statistical inference: bootstrapping from event-related potentials data.

F Di Nocera1, F Ferlazzo

  • 1Department of Psychology, University of Rome La Sapienza, Italy. dinocera@uniroma1.it

Behavior Research Methods, Instruments, & Computers : a Journal of the Psychonomic Society, Inc
|April 12, 2000
PubMed
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The bootstrap resampling technique helps assess the reliability of event-related potentials (ERPs) in memory research. This method revealed that not all subjects showed reliable ERPs, cautioning against strong conclusions from the memory task data.

Area of Science:

  • Cognitive Neuroscience
  • Psychophysiology
  • Memory Research

Background:

  • Assessing within-subject reliability is crucial for accurate interpretation of experimental modulation effects on event-related potentials (ERPs).
  • Estimation procedures like averaging can lead to biased results if underlying assumptions are violated.
  • Reliability assessment is vital for robust functional inferences in psychophysiological studies.

Purpose of the Study:

  • To introduce and apply the bootstrap resampling technique for evaluating the within-subject reliability of ERP modulation effects.
  • To investigate the relationship between ERPs and memory processes, specifically recognition memory.
  • To examine the influence of word imagery on ERPs during a recognition memory task.

Main Methods:

Related Experiment Videos

  • Utilized bootstrap analysis to assess the reliability of ERP data.
  • Recorded ERPs from two groups (orthographic judgment vs. attention) during a recognition memory task.
  • Manipulated word imagery (high vs. low) to investigate its effect on the old/new ERP effect.

    • Main Results:

    • Analysis of variance indicated an imagery-induced modulation of the old/new effect in ERPs for the attention-only group, suggesting a link to memory processes.
    • Bootstrap analysis revealed that the old/new effect on ERPs was not consistently reliable across all subjects.
    • The findings suggest that stimulus encoding operations may not solely account for the observed ERP modulations.

    Conclusions:

    • The bootstrap technique provides a valuable tool for assessing the reliability of ERP findings.
    • The reliability of the old/new effect in ERPs varies significantly among individuals.
    • Researchers should exercise caution when drawing functional inferences from ERP data, especially when within-subject reliability is questionable.