Journal
JOURNAL OF AFFECTIVE DISORDERS
Volume 150, Issue 2, Pages 474-480Publisher
ELSEVIER
DOI: 10.1016/j.jad.2013.04.042
Keywords
Biomarkers; Depression; Family study; First-degree relatives; Facial expressions of emotion; Brain research and integrative neuroscience network (BRAINnet) facial
Categories
Funding
- Australian Research Council [DP0773994]
- Australian Research Council [DP0773994] Funding Source: Australian Research Council
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Background: Unaffected relatives (URs) of individuals with major depressive disorder (MDD) are biologically more vulnerable to depression. We compare healthy URs and controls at the level of phenotype (symptoms and functioning) and endophenotype (negative emotion bias), and further investigate the interrelation between these and the contribution of environmental early life stress. Methods: URs (n = 101), identified using Family History Screen interview methods and matched controls completed written and interview questions assessing symptoms of depression and anxiety, negative cognitive style, life functioning and early life stress. Biases in emotion processing were measured using a facial expression of emotion identification paradigm. Results: Compared to controls, URs reported higher levels of depression and anxiety, a stronger negative cognitive bias, and poorer functioning and lower satisfaction with life. URs were slower to correctly identify fear and sad facial expressions. A slower response time to identify sad faces was correlated with lower quality of life in the social domain. Early life stress (ELS) did not contribute significantly to any outcome. Limitations: The methodology relies on accurate reporting of participants own psychiatric history and that of their family members. The degree of vulnerability varies among URs. Conclusions: A family history of depression accounts for subtle differences in symptom levels and functioning without a necessary role of ELS. A negative emotion bias in processing emotion may be one vulnerability marker for MDD. Biological markers may affect functioning measures before symptoms at the level of experience. (C) 2013 Elsevier B.V. All rights reserved,
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