L.M.W. has received consulting fees (Brain Resource Ltd.). L.M.W. is a stockholder and has stock options in Brain Resource Ltd. She has received Advisory Board fees from Pfizer.
Negative biases and risk for depression; integrating self-report and emotion task markers†
Article first published online: 27 JUL 2011
© 2011 Wiley-Liss, Inc.
Depression and Anxiety
Volume 28, Issue 8, pages 703–718, August 2011
How to Cite
Watters, A. J. and Williams, L. M. (2011), Negative biases and risk for depression; integrating self-report and emotion task markers. Depress. Anxiety, 28: 703–718. doi: 10.1002/da.20854
- Issue published online: 27 JUL 2011
- Article first published online: 27 JUL 2011
- Manuscript Accepted: 20 MAY 2011
- Manuscript Revised: 18 MAY 2011
- Manuscript Received: 20 DEC 2010
- ARC-Discovery. Grant Number: DP0773994
- risk markers;
- facial expressions of emotion;
- negativity bias;
- Brain Research and Integrative Neuroscience Network (BRAINnet)
Background: Negativity biases and their impact on reactivity to negative emotion are implicated in the mechanisms of risk for depression. The aim of this study was to determine whether self-reported negativity bias is related to objective cognitive measures of emotional reactivity. Methods: A previously established Web self-report measure of negativity bias was used to assess 1,080 volunteers from the Brain Resource International Database (overseen by the nonprofit BRAINnet Foundation). We identified matched subgroups of “High Risk” (n = 216) and “Low Risk” (n = 216) participants using a psychometric high-risk method, which classified High Risk as the sample's top 30% of negativity bias scores and Low Risk as the bottom 30%. These subsamples also completed the WebNeuro cognitive tasks for assessing both conscious and nonconscious reactions to facial emotions. Task performance was quantified by accuracy, reaction time, and misidentification errors. Results: The High Risk (high negativity bias) subgroup was distinguished by greater reactivity to negative emotion in both conscious and nonconscious processing. The High Risk profile was reflected in higher accuracy for sadness (nonconsciously) and disgust (consciously), and more frequent misidentification of neutral as anger (consciously). Conclusions: These results are consistent with seminal theories that a systematic cognitive negativity bias produces a hyper-reactivity to negative emotion, which can impact nonconscious as well as conscious processing. The results provide a step toward objective markers of risk for depression that would help the community act regarding preventative programs. Replication in patient samples is warranted. Depression and Anxiety, 2011. © 2011 Wiley-Liss, Inc.