Literature DB >> 27505407

Attentional bias temporal dynamics in remitted depression.

Ariel Zvielli1, Janna N Vrijsen2, Ernst H W Koster3, Amit Bernstein1.   

Abstract

Theory implicates attentional bias (AB) or dysregulated attentional processing of emotional information in the recurrence of major depressive episodes. However, empirical study of AB among remitted depressed patients is limited in scope and has yielded mixed findings. Mixed findings may be accounted for by how the field has conceptualized and thereby studied AB. We propose that a novel temporal dynamic process perspective on AB may help disambiguate extant findings and elucidate the nature of AB in remitted depression. Thus, we reexamined Dot Probe data among remitted depressed patients (RMD; n = 328) and nondepressed controls (NDC; n = 82) that previously yielded null effects when AB was quantified by means of the traditional aggregated mean bias score (Vrijsen et al., 2014). We reanalyzed data using a novel computational approach that extracts a series of bias estimations from trial to trial (Zvielli, Bernstein, & Koster, 2015). Key features of these dynamic process signals revealed moderate to excellent reliability relative to the traditional aggregated mean bias scores. These features of AB dynamics-specifically temporal variability in AB including AB toward and away from emotional stimuli-were significantly elevated among RMDs relative to NDCs. Moreover, among RMDs, a greater number of past depressive episodes were associated with elevation in these features of AB dynamics. Effects were not accounted for by residual depressive symptoms or social anxiety symptoms. Findings indicate that dysregulation in attentional processing of emotional information reflected in AB dynamics may be key to depression vulnerability. (PsycINFO Database Record (c) 2016 APA, all rights reserved).

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Year:  2016        PMID: 27505407     DOI: 10.1037/abn0000190

Source DB:  PubMed          Journal:  J Abnorm Psychol        ISSN: 0021-843X


  12 in total

1.  Association between negative cognitive bias and depression: A symptom-level approach.

Authors:  Christopher G Beevers; Michael C Mullarkey; Justin Dainer-Best; Rochelle A Stewart; Jocelyn Labrada; John J B Allen; John E McGeary; Jason Shumake
Journal:  J Abnorm Psychol       Date:  2019-01-17

2.  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

3.  Attentional bias modification is associated with fMRI response toward negative stimuli in individuals with residual depression: a randomized controlled trial

Authors:  Eva Hilland; Nils I. Landrø; Catherine J. Harmer; Michael Browning; Luigi A. Maglanoc; Rune Jonassen
Journal:  J Psychiatry Neurosci       Date:  2020-01-01       Impact factor: 6.186

4.  Combined behavioural markers of cognitive biases are associated with anhedonia.

Authors:  Taban Salem; E Samuel Winer; Michael R Nadorff
Journal:  Cogn Emot       Date:  2017-03-31

5.  Change in negative attention bias mediates the association between attention bias modification training and depression symptom improvement.

Authors:  Christopher G Beevers; Kean J Hsu; David M Schnyer; Jasper A J Smits; Jason Shumake
Journal:  J Consult Clin Psychol       Date:  2021-10

6.  Capturing Dynamics of Biased Attention: Are New Attention Variability Measures the Way Forward?

Authors:  Anne-Wil Kruijt; Andy P Field; Elaine Fox
Journal:  PLoS One       Date:  2016-11-22       Impact factor: 3.240

7.  Different patterns of attentional bias in antenatal and postpartum depression.

Authors:  Åsa Edvinsson; Alkistis Skalkidou; Charlotte Hellgren; Malin Gingnell; Lisa Ekselius; Mimmie Willebrand; Inger Sundström Poromaa
Journal:  Brain Behav       Date:  2017-10-18       Impact factor: 2.708

8.  Emotional Biases and Recurrence in Major Depressive Disorder. Results of 2.5 Years Follow-Up of Drug-Free Cohort Vulnerable for Recurrence.

Authors:  Henricus G Ruhe; Roel J T Mocking; Caroline A Figueroa; Paulien W J Seeverens; Nessa Ikani; Anna Tyborowska; Michael Browning; Janna N Vrijsen; Catherine J Harmer; Aart H Schene
Journal:  Front Psychiatry       Date:  2019-03-28       Impact factor: 4.157

9.  Attentional variability and avoidance of hostile stimuli decrease aggression in Chinese male juvenile delinquents.

Authors:  Ziyi Zhao; Xianglian Yu; Zhihong Ren; Lin Zhang; Xu Li
Journal:  Child Adolesc Psychiatry Ment Health       Date:  2021-04-13       Impact factor: 3.033

10.  Attentional bias for negative, positive, and threat words in current and remitted depression.

Authors:  Hermien J Elgersma; Ernst H W Koster; Lonneke A van Tuijl; A Hoekzema; Brenda W J H Penninx; Claudi L H Bockting; Peter J de Jong
Journal:  PLoS One       Date:  2018-10-31       Impact factor: 3.240

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