Literature DB >> 28111770

The N2pc component reliably captures attentional bias in social anxiety.

Mario Reutter1, Johannes Hewig1, Matthias J Wieser1,2, Roman Osinsky1,3.   

Abstract

We systematically compared different measures of attentional bias (i.e., reaction times, the N2pc component in the EEG, and explicit stimulus ratings) on their ability to reveal attentional engagement to threatening versus neutral facial stimuli in a Dot Probe Task and tested their relation to trait measures of general and social anxiety. We found that the N2pc component reflects a bias toward angry faces with excellent internal consistency. Similar results were obtained for explicit ratings. Reaction time (RT) differences, however, were not indicative of attentional biases and showed zero odd-even reliability. We further found that both higher (i.e., more negative) N2pc amplitudes and earlier peak latencies were associated with more severe symptoms of social anxiety even when controlling for general trait anxiety. The explicit rating biases were also specifically associated with social anxiety. Conversely, the RT bias was not related to social anxiety levels but to general trait anxiety. This highlights the importance of valid and reliable outcome measures for interventions such as attentional bias modification protocols. Mutual exclusivity of different bias operationalizations is discussed.
© 2017 Society for Psychophysiological Research.

Entities:  

Keywords:  Attentional bias; Attentional bias modification; Dot probe; N2pc; Reaction times; Social anxiety

Mesh:

Year:  2017        PMID: 28111770     DOI: 10.1111/psyp.12809

Source DB:  PubMed          Journal:  Psychophysiology        ISSN: 0048-5772            Impact factor:   4.016


  11 in total

1.  What does the dot-probe task measure? A reverse correlation analysis of electrocortical activity.

Authors:  Nina N Thigpen; L Forest Gruss; Steven Garcia; David R Herring; Andreas Keil
Journal:  Psychophysiology       Date:  2018-01-03       Impact factor: 4.016

2.  Multi-method assessment of irritability and differential linkages to neurophysiological indicators of attention allocation to emotional faces in young children.

Authors:  Christen M Deveney; Damion Grasso; Amy Hsu; Daniel S Pine; Christopher R Estabrook; Elvira Zobel; James L Burns; Lauren S Wakschlag; Margaret J Briggs-Gowan
Journal:  Dev Psychobiol       Date:  2019-10-20       Impact factor: 3.038

Review 3.  The neural chronometry of threat-related attentional bias: Event-related potential (ERP) evidence for early and late stages of selective attentional processing.

Authors:  Resh S Gupta; Autumn Kujawa; David R Vago
Journal:  Int J Psychophysiol       Date:  2019-10-09       Impact factor: 2.997

4.  The stability and reliability of attentional bias measures in the dot-probe task: Evidence from both traditional mean bias scores and trial-level bias scores.

Authors:  Joshua M Carlson; Lin Fang
Journal:  Motiv Emot       Date:  2020-05-24

5.  Attentional bias to threat and gray matter volume morphology in high anxious individuals.

Authors:  Joshua M Carlson; Lin Fang
Journal:  Cogn Affect Behav Neurosci       Date:  2021-11-09       Impact factor: 3.526

6.  A Preliminary Investigation of ERP Components of Attentional Bias in Anxious Adults using Temporospatial Principal Component Analysis.

Authors:  Resh S Gupta; Autumn Kujawa; David R Vago
Journal:  J Psychophysiol       Date:  2021-02-23       Impact factor: 1.229

7.  Attentional Prioritization of Complex, Naturalistic Stimuli Maintained in Working-Memory-A Dot-Probe Event-Related Potentials Study.

Authors:  Natalia Rutkowska; Łucja Doradzińska; Michał Bola
Journal:  Front Hum Neurosci       Date:  2022-04-29       Impact factor: 3.473

8.  The priority of goal-relevant information and evolutionarily threatening information in early attention processing:Evidence from behavioral and ERP study.

Authors:  Yuting Liu; Pei Wang; Guan Wang
Journal:  Sci Rep       Date:  2020-05-14       Impact factor: 4.379

9.  Social anxiety changes the way we move-A social approach-avoidance task in a virtual reality CAVE system.

Authors:  Bastian Lange; Paul Pauli
Journal:  PLoS One       Date:  2019-12-23       Impact factor: 3.240

10.  The effect of attention on body size adaptation and body dissatisfaction.

Authors:  T House; I D Stephen; I S Penton-Voak; K R Brooks
Journal:  R Soc Open Sci       Date:  2022-02-23       Impact factor: 2.963

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