Literature DB >> 27556730

Affective bias in visual working memory is associated with capacity.

Weizhen Xie1,2, Huanhuan Li2,3, Xiangyu Ying2, Shiyou Zhu2, Rong Fu2,4, Yingmin Zou2,5, Yanyan Cui2.   

Abstract

How does the affective nature of task stimuli modulate working memory (WM)? This study investigates whether WM maintains emotional information in a biased manner to meet the motivational principle of approaching positivity and avoiding negativity by retaining more approach-related positive content over avoidance-related negative content. This bias may exist regardless of individual differences in WM functionality, as indexed by WM capacity (overall bias hypothesis). Alternatively, this bias may be contingent on WM capacity (capacity-based hypothesis), in which a better WM system may be more likely to reveal an adaptive bias. In two experiments, participants performed change localisation tasks with emotional and non-emotional stimuli to estimate the number of items that they could retain for each of those stimuli. Although participants did not seem to remember one type of emotional content (e.g. happy faces) better than the other type of emotional content (e.g. sad faces), there was a significant correlation between WM capacity and affective bias. Specifically, participants with higher WM capacity for non-emotional stimuli (colours or line-drawing symbols) tended to maintain more happy faces over sad faces. These findings demonstrated the presence of a "built-in" affective bias in WM as a function of its systematic limitations, favouring the capacity-based hypothesis.

Entities:  

Keywords:  Emotion; affective bias; capacity; working memory

Mesh:

Year:  2016        PMID: 27556730     DOI: 10.1080/02699931.2016.1223020

Source DB:  PubMed          Journal:  Cogn Emot        ISSN: 0269-9931


  7 in total

1.  Poor Sleep Quality and Compromised Visual Working Memory Capacity.

Authors:  Weizhen Xie; Anne Berry; Cindy Lustig; Patricia Deldin; Weiwei Zhang
Journal:  J Int Neuropsychol Soc       Date:  2019-04-29       Impact factor: 2.892

2.  Working memory capacity predicts individual differences in social-distancing compliance during the COVID-19 pandemic in the United States.

Authors:  Weizhen Xie; Stephen Campbell; Weiwei Zhang
Journal:  Proc Natl Acad Sci U S A       Date:  2020-07-10       Impact factor: 11.205

Review 3.  The impact of affective information on working memory: A pair of meta-analytic reviews of behavioral and neuroimaging evidence.

Authors:  Susanne Schweizer; Ajay B Satpute; Shir Atzil; Andy P Field; Caitlin Hitchcock; Melissa Black; Lisa Feldman Barrett; Tim Dalgleish
Journal:  Psychol Bull       Date:  2019-04-25       Impact factor: 17.737

4.  Evidence accumulation is biased by motivation: A computational account.

Authors:  Filip Gesiarz; Donal Cahill; Tali Sharot
Journal:  PLoS Comput Biol       Date:  2019-06-27       Impact factor: 4.475

Review 5.  Visual Working Memory for Faces and Facial Expressions as a Useful "Tool" for Understanding Social and Affective Cognition.

Authors:  Filippo Gambarota; Paola Sessa
Journal:  Front Psychol       Date:  2019-10-22

6.  Working Memory Performance for Differentially Conditioned Stimuli.

Authors:  Richard T Ward; Salahadin Lotfi; Daniel M Stout; Sofia Mattson; Han-Joo Lee; Christine L Larson
Journal:  Front Psychol       Date:  2022-01-25

Review 7.  Negative and Positive Bias for Emotional Faces: Evidence from the Attention and Working Memory Paradigms.

Authors:  Qianru Xu; Chaoxiong Ye; Simeng Gu; Zhonghua Hu; Yi Lei; Xueyan Li; Lihui Huang; Qiang Liu
Journal:  Neural Plast       Date:  2021-05-27       Impact factor: 3.599

  7 in total

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