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

ABSTRACT: Information-processing biases may contribute to the intergenerational transmission of depression. There is growing evidence that children of depressed mothers exhibit attentional biases for sad faces. However, findings are mixed as to whether this bias reflects preferential attention toward, versus attentional avoidance of, sad faces, suggesting the presence of unmeasured moderators. To address these mixed findings, we focused on the potential moderating role of genes associated with hypothalamic-pituitary-adrenal axis reactivity. Participants included children (8-14 years old) of mothers with (n = 81) and without (n = 81) a history of depression. Eye movements were recorded while children passively viewed arrays of angry, happy, sad, and neutral faces. DNA was obtained from buccal cells. Children of depressed mothers exhibited more sustained attention to sad faces than did children of nondepressed mothers. However, it is important that this relation was moderated by children's genotype. Specifically, children of depressed mothers who carried reactive genotypes across the corticotropin-releasing hormone type 1 receptor (CHRH1) TAT haplotype and FK506 binding protein 5 (FKBP5) rs1360780 (but not the solute carrier family C6 member 4 [SLC6A4] of the serotonin transporter linked polymorphic region [5-HTTLPR]) exhibited less sustained attention to sad faces and more sustained attention to happy faces. These findings highlight the role played by specific genetic influences and suggest that previous mixed findings may have been due to genetic heterogeneity across the samples.

SUBMITTER: Owens M

PROVIDER: S-EPMC4783297 | biostudies-literature | 2016 May

REPOSITORIES: biostudies-literature

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

Owens Max M Harrison Ashley J AJ Burkhouse Katie L KL McGeary John E JE Knopik Valerie S VS Palmer Rohan H C RH Gibb Brandon E BE

Development and psychopathology 20150601 2

Information-processing biases may contribute to the intergenerational transmission of depression. There is growing evidence that children of depressed mothers exhibit attentional biases for sad faces. However, findings are mixed as to whether this bias reflects preferential attention toward, versus attentional avoidance of, sad faces, suggesting the presence of unmeasured moderators. To address these mixed findings, we focused on the potential moderating role of genes associated with hypothalami ...[more]

PMID: 26030911

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Project description:BACKGROUND:Automatically activated cognitive motivational processes such as the tendency to attend to or approach smoking-related stimuli (ie, attentional and approach bias) have been related to smoking behaviors. Therefore, these cognitive biases are thought to play a role in maintaining smoking behaviors. Cognitive biases can be modified with cognitive bias modification (CBM), which holds promise as an easy-access and low-cost online intervention. However, little is known about the effectiveness of online interventions combining two varieties of CBM. Targeting multiple cognitive biases may improve treatment outcomes because these biases have been shown to be relatively independent. OBJECTIVE:This study aimed to test the individual and combined effects of two web-based CBM varieties-attentional bias modification (AtBM) and approach bias modification (ApBM)-in a double-blind randomized controlled trial (RCT) with a 2 (AtBM: active versus sham) × 2 (ApBM: active versus sham) factorial design. METHODS:A total of 504 adult smokers seeking online help to quit smoking were randomly assigned to 1 of 4 experimental conditions to receive 11 fully automated CBM training sessions. To increase participants' intrinsic motivation to change their smoking behaviors, all participants first received brief, automated, tailored feedback. The primary outcome was point prevalence abstinence during the study period. Secondary outcomes included daily cigarette use and attentional and approach bias. All outcomes were repeatedly self-assessed online from baseline to the 3-month follow-up. For the examination of training effects on outcome changes, an intention-to-treat analysis with a multilevel modeling (MLM) approach was adopted. RESULTS:Only 10.7% (54/504) of the participants completed all 11 training sessions, and 8.3% (42/504) of the participants reached the 3-month follow-up assessment. MLM showed that over time, neither AtBM or ApBM nor a combination of both differed from their respective sham training in point prevalence abstinence rates (P=.17, P=.56, and P=.14, respectively), and in changes in daily cigarette use (P=.26, P=.08, and P=.13, respectively), attentional bias (P=.07, P=.81, and P=.15, respectively), and approach bias (P=.57, P=.22, and P=.40, respectively), while daily cigarette use decreased over time across conditions for all participants (P<.001). CONCLUSIONS:This RCT provides no support for the effectiveness of combining AtBM and ApBM in a self-help web-based smoking cessation intervention. However, this study had a very high dropout rate and a very low frequency of training usage, indicating an overall low acceptability of the intervention, which precludes any definite conclusion on its efficacy. We discuss how this study can inform future designs and settings of online CBM interventions. TRIAL REGISTRATION:Netherlands Trial Register NTR4678; https://www.trialregister.nl/trial/4678.

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

Publications

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

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