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Error significance but not error expectancy predicts error-related negativities for different error types.

Martin E Maier1, Marco Steinhauser1

  • 1Catholic University of Eichstätt-Ingolstadt, Ostenstraße 25, D-85072 Eichstätt, Germany.

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Summary

Early brain activity monitoring errors, known as the error-related negativity (Ne/ERN), is sensitive to error significance, not just expectancy. This finding suggests performance monitoring evaluates the importance of errors.

Keywords:
Error expectancyError monitoringError significanceError-related negativityEvent-related potentialsFlanker task

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Area of Science:

  • Cognitive Neuroscience
  • Neuroscience
  • Psychology

Background:

  • Error-related brain activity in the medial prefrontal cortex is often linked to outcome expectancies.
  • Early error monitoring processes, marked by the error-related negativity (Ne/ERN), are crucial for understanding cognitive control.

Purpose of the Study:

  • To investigate whether early error monitoring (Ne/ERN) is sensitive to error expectancy or error significance.
  • To differentiate between outcome expectancy and error significance accounts of error-related neural activity.

Main Methods:

  • Utilized a modified flanker task with two error types: flanker errors and nonflanker errors.
  • Manipulated flanker onset to vary error probability (expectancy) and the proportion of significant attention errors.
  • Measured the electrophysiological marker, Ne/ERN, to assess early error monitoring.

Main Results:

  • The Ne/ERN was larger for flanker errors than nonflanker errors only when flanker errors were highly probable.
  • Ne/ERN amplitude correlated with the estimated proportion of significant attention errors, as determined by multinomial modeling.
  • Findings contradicted predictions based solely on outcome expectancy accounts.

Conclusions:

  • Early performance monitoring, reflected by Ne/ERN, involves an evaluation of error significance.
  • Error significance, rather than just expectancy, plays a key role in early error detection mechanisms.
  • This study provides evidence supporting the error significance account of neural error processing.