Literature DB >> 12798976

A naturalistic visual scanning approach to assess selective attention in major depressive disorder.

Moshe Eizenman1, Lawrence H Yu, Larry Grupp, Erez Eizenman, Mark Ellenbogen, Michael Gemar, Robert D Levitan.   

Abstract

Cognitive biases in information processing play an important role in the etiology and maintenance of emotional disorders. A new methodology to measure attentional biases is presented; this approach encourages subjects to scan and re-scan images with different thematic content, while the pattern of their attentional deployment is continuously monitored by an eye-tracking system. Measures of attentional bias are the total fixation time and the average glance duration on images belonging to a particular theme. Results showed that subjects with depressive disorder (n=8; Beck Depression Inventory Score>/=16) spent significantly more time looking at images with dysphoric themes than subjects in the control group (n=9). Correlation analysis revealed that the differences between the fixation times of the two groups are significantly correlated with the valence ratings, but not with the arousal ratings of the images. The average glance duration on images with social, neutral and threatening themes were similar for both groups, while the average glance duration on images with dysphoric themes was significantly larger for subjects with depressive disorder. The above results suggest that subjects with depressive disorder selectively attend to mood-congruent material and that depression appears to influence the elaborative stages of processing when dysphoric images are viewed.

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Year:  2003        PMID: 12798976     DOI: 10.1016/s0165-1781(03)00068-4

Source DB:  PubMed          Journal:  Psychiatry Res        ISSN: 0165-1781            Impact factor:   3.222


  54 in total

1.  Sleep-Related Attentional Bias for Faces Depicting Tiredness in Insomnia: Evidence From an Eye-Tracking Study.

Authors:  Umair Akram; Anna Robson; Antonia Ypsilanti
Journal:  J Clin Sleep Med       Date:  2018-06-15       Impact factor: 4.062

2.  Cognitive Style Moderates Attention to Attribution-Relevant Stimuli.

Authors:  Sarah E Romens; Donal G Maccoon; Lyn Y Abramson; Seth D Pollak
Journal:  Cognit Ther Res       Date:  2011-04-01

3.  Eye tracking indices of attentional bias in children of depressed mothers: Polygenic influences help to clarify previous mixed findings.

Authors:  Max Owens; Ashley J Harrison; Katie L Burkhouse; John E McGeary; Valerie S Knopik; Rohan H C Palmer; Brandon E Gibb
Journal:  Dev Psychopathol       Date:  2015-06-01

Review 4.  Fixing our focus: training attention to regulate emotion.

Authors:  Heather A Wadlinger; Derek M Isaacowitz
Journal:  Pers Soc Psychol Rev       Date:  2010-04-30

Review 5.  Eye tracking of attention in the affective disorders: a meta-analytic review and synthesis.

Authors:  Thomas Armstrong; Bunmi O Olatunji
Journal:  Clin Psychol Rev       Date:  2012-09-20

Review 6.  Understanding vulnerability for depression from a cognitive neuroscience perspective: A reappraisal of attentional factors and a new conceptual framework.

Authors:  Rudi De Raedt; Ernst H W Koster
Journal:  Cogn Affect Behav Neurosci       Date:  2010-03       Impact factor: 3.282

7.  Cognitive Aspects of Depression.

Authors:  Katharina Kircanski; Jutta Joormann; Ian H Gotlib
Journal:  Wiley Interdiscip Rev Cogn Sci       Date:  2012-03-28

8.  Mild Depression Detection of College Students: an EEG-Based Solution with Free Viewing Tasks.

Authors:  Xiaowei Li; Bin Hu; Ji Shen; Tingting Xu; Martyn Retcliffe
Journal:  J Med Syst       Date:  2015-10-21       Impact factor: 4.460

9.  Time course of selective attention in clinically depressed young adults: an eye tracking study.

Authors:  Jennifer L Kellough; Christopher G Beevers; Alissa J Ellis; Tony T Wells
Journal:  Behav Res Ther       Date:  2008-07-25

Review 10.  Efficacy of attention bias modification using threat and appetitive stimuli: a meta-analytic review.

Authors:  Courtney Beard; Alice T Sawyer; Stefan G Hofmann
Journal:  Behav Ther       Date:  2012-01-18
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