Association between depression and hostile attribution bias in hostile and non-hostile individuals: An ERP study.

<bold>Background: </bold>Hostility and aggression have been found to be highly prevalent among depressed patients and are associated with higher comorbidity and illness severity levels. Although negative interpretation biases are a fundamental element of cognitive models of depression, few studies have examined the specific biases in information processing, mainly the hostile attribution bias, found in hostile individuals who present depressive symptoms.<bold>Method: </bold>Using pre-collected data from a sample of 72 (male=41,6%, female=58,3%) undergraduate and community-based hostile (n = 26) and non-hostile (n = 46) adult participants, the authors aimed to examine the association between depression and the hostile attribution bias by determining whether depression level scores were uniquely related to electrophysiological measures of the hostile attribution bias.<bold>Results: </bold>The hostile group showed higher measured levels of depression and reactive aggression compared to the non-hostile group. Also, depression scores were significant predictors of the N400 effect in the non-hostile task condition, while reactive aggression was not, whereas in the hostile condition, the overall model was significant, with depression and reactive aggression levels both showing strong trends towards significance.<bold>Limitations: </bold>A small sample size limited the scope of our conclusions. Also, sample selection prevented us from examining specific group differences regarding the hostile attribution bias in depressed and non-depressed groups.<bold>Conclusion: </bold>Clinical and research implications include the necessity to apply cognitive restructuring techniques to counter biased interpretation processes in settings where depression and aggression intersect, and the need to consider alternatives to self-evaluative methodologies. [ABSTRACT FROM AUTHOR]