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Updated: Oct 14, 2025

Measuring Attentional Biases for Threat in Children and Adults
Published on: October 19, 2014
A Preliminary Investigation of ERP Components of Attentional Bias in Anxious Adults using Temporospatial Principal
Resh S Gupta1, Autumn Kujawa2, David R Vago1,3
1Department of Physical Medicine and Rehabilitation, Osher Center for Integrative Medicine, Contemplative Neuroscience & Integrative Medicine Laboratory, Vanderbilt University Medical Center, 3401 West End Ave., Suite 380, Nashville, TN 37212, USA.
Abstract:
Threat-related attention bias is thought to contribute to the development and maintenance of anxiety disorders. Dot-probe studies using event-related potentials (ERPs) have indicated that several early ERP components are modulated by threatening and emotional stimuli in anxious populations, suggesting enhanced allocation of attention to threat and emotion at earlier stages of processing. However, ERP components selected for examination and analysis in these studies vary widely and remain inconsistent. The present study used temporospatial principal component analysis (PCA) to systematically identify ERP components elicited to face pair cues and probes in a dot-probe task in anxious adults. Cue-locked components sensitive to emotion included an early occipital C1 component enhanced for happy versus angry face pair cues and an early parieto-occipital P1 component enhanced for happy versus angry face pair cues. Probe-locked components sensitive to congruency included a parieto-occipital P2 component enhanced for incongruent probes (probes replacing neutral faces) versus congruent probes (probes replacing emotional faces). Split-half correlations indicated that the mean value around the PCA-derived peaks were reliably measured in the ERP waveforms. These results highlight promising neurophysiological markers for attentional bias research that can be extended to designs comparing anxious and healthy comparison groups. Results from a secondary exploratory PCA analysis investigating the effects of emotional face position and analyses on behavioral reaction time data are also presented.
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