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Related Experiment Video

Updated: Mar 29, 2026

Perceptual and Category Processing of the Uncanny Valley Hypothesis' Dimension of Human Likeness: Some Methodological Issues
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Neural Patterns of the Implicit Association Test.

Graham F Healy1, Lorraine Boran2, Alan F Smeaton1

  • 1Insight Centre for Data Analytics, School of Computing, Dublin City University Dublin, Ireland.

Frontiers in Human Neuroscience
|December 5, 2015
PubMed
Summary
This summary is machine-generated.

The Implicit Association Test (IAT) measures implicit biases using reaction times. This study used electroencephalography (EEG) to reveal that early brain activity, not directly correlated with IAT scores, influences these measurements, implicating cognitive control.

Keywords:
EEGLORETAN200brain regionsevent-related potentialsimplicit association testinhibitionword association

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Area of Science:

  • Cognitive Neuroscience
  • Psychology

Background:

  • The Implicit Association Test (IAT) assesses implicit biases through reaction times.
  • The precise neural mechanisms underlying IAT effects remain under investigation.

Purpose of the Study:

  • To investigate the temporal dynamics and neural correlates of the IAT using electroencephalography (EEG).
  • To explore the role of cognitive control in IAT measurements.

Main Methods:

  • Utilized EEG to record brain activity during IAT performance.
  • Analyzed event-related potentials (ERPs) and employed LORETA for source localization.
  • Correlated IAT D-scores with specific ERP time windows and brain regions.

Main Results:

  • Early ERP components (250-450 ms) showed significant relationships with IAT D-scores.
  • Neural activity in these early windows, potentially related to cognitive control, was not directly correlated with the IAT measurement itself.
  • LORETA identified key brain regions including left-temporal, insular, cingulate, medial frontal, and parietal cortex involved in IAT processing.

Conclusions:

  • Proactive cognitive control and top-down modulation significantly influence IAT effects.
  • Early neural processing stages, beyond direct IAT measurement, are crucial for understanding IAT outcomes.
  • Findings highlight the complex interplay between cognitive control and implicit bias measurement.