Literature DB >> 27396749

Temperament differentially influences early information processing in men and women: Preliminary electrophysiological evidence of attentional biases in healthy individuals.

Nina M Pintzinger1, Daniela M Pfabigan2, Lorenz Pfau2, Ilse Kryspin-Exner3, Claus Lamm4.   

Abstract

Preferential processing of threat-related information is a robust finding in anxiety disorders. The observation that attentional biases are also present in healthy individuals suggests factors other than clinical symptoms to play a role. Using a dot-probe paradigm while event-related potentials were recorded in 59 healthy adults, we investigated whether temperament and gender, both related to individual variation in anxiety levels, influence attentional processing. All participants showed protective attentional biases in terms of enhanced attention engagement with positive information, indexed by larger N1 amplitudes in positive compared to negative conditions. Taking gender differences into account, we observed that women showed enhanced attention engagement with negative compared to neutral information, indicated by larger P2 amplitudes in congruent than in incongruent negative conditions. Attentional processing was influenced by the temperament traits negative affect and effortful control. Our results emphasize that gender and temperament modulate attentional biases in healthy adults.
Copyright © 2016 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Attentional bias; Dot-probe task; ERP; Gender; N1; P1; P2; Temperament

Mesh:

Year:  2016        PMID: 27396749     DOI: 10.1016/j.biopsycho.2016.07.007

Source DB:  PubMed          Journal:  Biol Psychol        ISSN: 0301-0511            Impact factor:   3.251


  12 in total

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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
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Review 2.  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

3.  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

4.  Association between attention bias to threat and anxiety symptoms in children and adolescents.

Authors:  Rany Abend; Leone de Voogd; Elske Salemink; Reinout W Wiers; Koraly Pérez-Edgar; Amanda Fitzgerald; Lauren K White; Giovanni A Salum; Jie He; Wendy K Silverman; Jeremy W Pettit; Daniel S Pine; Yair Bar-Haim
Journal:  Depress Anxiety       Date:  2017-12-06       Impact factor: 6.505

5.  Self-affirmation enhances the processing of uncertainty: An event-related potential study.

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Journal:  Cogn Affect Behav Neurosci       Date:  2019-04       Impact factor: 3.282

6.  Atomoxetine effects on attentional bias to drug-related cues in cocaine dependent individuals.

Authors:  Luca Passamonti; M Luijten; H Ziauddeen; I T S Coyle-Gilchrist; T Rittman; S A E Brain; R Regenthal; I H A Franken; B J Sahakian; E T Bullmore; T W Robbins; K D Ersche
Journal:  Psychopharmacology (Berl)       Date:  2017-05-27       Impact factor: 4.530

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Journal:  Front Behav Neurosci       Date:  2017-10-17       Impact factor: 3.558

8.  "Don't judge me!": Links between in vivo attention bias toward a potentially critical judge and fronto-amygdala functional connectivity during rejection in adolescent girls.

Authors:  Stefanie L Sequeira; Dana K Rosen; Jennifer S Silk; Emily Hutchinson; Kristy Benoit Allen; Neil P Jones; Rebecca B Price; Cecile D Ladouceur
Journal:  Dev Cogn Neurosci       Date:  2021-05-05       Impact factor: 6.464

9.  Neural mechanisms associated with semantic and basic self-oriented memory processes interact moderating self-esteem.

Authors:  Rachel C Amey; Jordan B Leitner; Mengting Liu; Chad E Forbes
Journal:  iScience       Date:  2022-01-19

10.  Stereotype-based stressors facilitate emotional memory neural network connectivity and encoding of negative information to degrade math self-perceptions among women.

Authors:  Chad E Forbes; Rachel Amey; Adam B Magerman; Kelly Duran; Mengting Liu
Journal:  Soc Cogn Affect Neurosci       Date:  2018-09-04       Impact factor: 3.436

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