Literature DB >> 25010145

Attentional Biases in Currently Depressed Children: An Eye-Tracking Study of Biases in Sustained Attention to Emotional Stimuli.

Ashley Johnson Harrison1,2, Brandon E Gibb1.   

Abstract

Cognitive theories state attentional biases contribute to the development and maintenance of depression. Like depressed adults, there is growing evidence for the presence of attentional biases to sad stimuli in depressed youth. Although the direction of this bias among children remains unclear, preliminary evidence indicates attentional avoidance of sad stimuli in children. This is the first known sudy to use eye-tracking to investigate the exact nature of attention biases among depressed children. To assess sustained attention, the current study used eye-tracking and a passive viewing task in which children viewed a series of four facial expressions (angry, happy, sad, neutral) presented simultatiously for 20 s on a computer screen. The current study compared the attentional allocation of currently depressed children (n = 19; M age = 11.21) to a group of never depressed children (n = 22; M age = 10.82). Consistent with earlier research with children, we found that children with current major or minor depression, compared to children with no history of depression, exhibited attentional avoidance of sad facial stimuil as well as some evidence for preferential attention to happy faces. This study provides additional evidence that although depressed children demonstrate mood congruent attentional biases like that observed depressed adults, the nature of these biases may reflect attentional avoidance of sad stimuli, rather than preferential attention.

Entities:  

Mesh:

Year:  2014        PMID: 25010145      PMCID: PMC4289475          DOI: 10.1080/15374416.2014.930688

Source DB:  PubMed          Journal:  J Clin Child Adolesc Psychol        ISSN: 1537-4416


  22 in total

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3.  Selective attention to affective stimuli and clinical depression among youths: role of anxiety and specificity of emotion.

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5.  Attentional bias in emotional disorders.

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7.  Peekaboo: a new look at infants' perception of emotion expressions.

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Review 8.  Cognition and depression: current status and future directions.

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Journal:  Annu Rev Clin Psychol       Date:  2010       Impact factor: 18.561

Review 9.  Toward guidelines for evidence-based assessment of depression in children and adolescents.

Authors:  Daniel N Klein; Lea R Dougherty; Thomas M Olino
Journal:  J Clin Child Adolesc Psychol       Date:  2005-09

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  25 in total

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2.  Integrating NIMH Research Domain Criteria (RDoC) into Depression Research.

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3.  Interparental hostility and children's externalizing symptoms: Attention to anger as a mediator.

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

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5.  Impact of attention biases to threat and effortful control on individual variations in negative affect and social withdrawal in very young children.

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6.  Attention to Peer Feedback Through the Eyes of Adolescents with a History of Anxiety and Healthy Adolescents.

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7.  Pupillary reactivity to sad stimuli as a biomarker of depression risk: Evidence from a prospective study of children.

Authors:  Katie L Burkhouse; Greg J Siegle; Mary L Woody; Anastacia Y Kudinova; Brandon E Gibb
Journal:  J Abnorm Psychol       Date:  2015-08

8.  Looking for the negative: Depressive symptoms in adolescent girls are associated with sustained attention to a potentially critical judge during in vivo social evaluation.

Authors:  Mary L Woody; Dana Rosen; Kristy Benoit Allen; Rebecca B Price; Emily Hutchinson; Marlissa C Amole; Jennifer S Silk
Journal:  J Exp Child Psychol       Date:  2018-11-23

9.  From anxious youth to depressed adolescents: Prospective prediction of 2-year depression symptoms via attentional bias measures.

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Journal:  J Abnorm Psychol       Date:  2015-11-23

Review 10.  Attentional biases to emotional stimuli: Key components of the RDoC constructs of sustained threat and loss.

Authors:  Brandon E Gibb; John E McGeary; Christopher G Beevers
Journal:  Am J Med Genet B Neuropsychiatr Genet       Date:  2015-09-15       Impact factor: 3.568

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