Literature DB >> 20374540

Anxiety and feedback negativity.

Ruolei Gu1, Yu-Xia Huang, Yue-Jia Luo.   

Abstract

It has been suggested that anxious individuals are more prone to feel that negative outcomes are particularly extreme and to interpret ambiguous outcomes as negative compared to nonanxious individuals. Previous studies have demonstrated that the feedback negativity (FN) component of event-related brain potential (ERP) is sensitive to outcome evaluation and outcome expectancy. Hence, we predicted that the FN should be different between high trait-anxiety (HTA) and low trait-anxiety (LTA) individuals. To test our hypothesis, the ERPs were recorded during a simple monetary gambling task. The FN was measured as a difference wave created across conditions. We found that the amplitude of the FN indicating negative versus positive outcomes was significantly larger for LTA individuals compared to HTA individuals. However, there was no significant difference in the FN between groups in response to ambiguous versus positive outcomes. The results indicate that there is a relationship between the FN and individual differences in anxiety. We suggest that these results reflect the impact of anxiety on outcome expectation. Our results challenge the reinforcement learning theory of error-related negativity, which proposes that ERN and FN reflect the same cognitive process.

Entities:  

Mesh:

Year:  2010        PMID: 20374540     DOI: 10.1111/j.1469-8986.2010.00997.x

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


  40 in total

1.  Anxiety and outcome evaluation: the good, the bad and the ambiguous.

Authors:  Ruolei Gu; Yue Ge; Yang Jiang; Yue-jia Luo
Journal:  Biol Psychol       Date:  2010-07-07       Impact factor: 3.251

2.  Neural basis of emotional decision making in trait anxiety.

Authors:  Pengfei Xu; Ruolei Gu; Lucas S Broster; Runguo Wu; Nicholas T Van Dam; Yang Jiang; Jin Fan; Yue-jia Luo
Journal:  J Neurosci       Date:  2013-11-20       Impact factor: 6.167

3.  Beyond valence and magnitude: a flexible evaluative coding system in the brain.

Authors:  Ruolei Gu; Zhihui Lei; Lucas Broster; Tingting Wu; Yang Jiang; Yue-Jia Luo
Journal:  Neuropsychologia       Date:  2011-10-14       Impact factor: 3.139

4.  Neural response to reward and depressive symptoms in late childhood to early adolescence.

Authors:  Jennifer N Bress; Ezra Smith; Dan Foti; Daniel N Klein; Greg Hajcak
Journal:  Biol Psychol       Date:  2011-10-18       Impact factor: 3.251

5.  The temporal course of the influence of anxiety on fairness considerations.

Authors:  Yi Luo; Tingting Wu; Lucas S Broster; Chunliang Feng; Dandan Zhang; Ruolei Gu; Yue-Jia Luo
Journal:  Psychophysiology       Date:  2014-05-20       Impact factor: 4.016

Review 6.  Individual differences in cognition, affect, and performance: behavioral, neuroimaging, and molecular genetic approaches.

Authors:  Raja Parasuraman; Yang Jiang
Journal:  Neuroimage       Date:  2011-05-03       Impact factor: 6.556

7.  The impact of an unpredictable context and intolerance of uncertainty on the electrocortical response to monetary gains and losses.

Authors:  Brady D Nelson; Ellen M Kessel; Felicia Jackson; Greg Hajcak
Journal:  Cogn Affect Behav Neurosci       Date:  2016-02       Impact factor: 3.282

8.  The influence of self-construals on the ERP response to the rewards for self and mother.

Authors:  Xiangru Zhu; Huijun Zhang; Lili Wu; Suyong Yang; Haiyan Wu; Wenbo Luo; Ruolei Gu; Yue-Jia Luo
Journal:  Cogn Affect Behav Neurosci       Date:  2018-04       Impact factor: 3.282

Review 9.  Using Event-Related Potentials and Startle to Evaluate Time Course in Anxiety and Depression.

Authors:  Heide Klumpp; Stewart A Shankman
Journal:  Biol Psychiatry Cogn Neurosci Neuroimaging       Date:  2017-09-20

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

Authors:  Ruolei Gu; Jing Yang; Ziyan Yang; Zihang Huang; Mingzheng Wu; Huajian Cai
Journal:  Cogn Affect Behav Neurosci       Date:  2019-04       Impact factor: 3.282

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