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Brain Topography

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01.03.2016 | Original Paper

Cognitive Bias by Gender Interaction on N170 Response to Emotional Facial Expressions in Major and Minor Depression

verfasst von: Xingqu Wu, Jiu Chen, Ting Jia, Wentao Ma, Yan Zhang, Zihe Deng, Laiqi Yang

Erschienen in: Brain Topography | Ausgabe 2/2016

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Abstract

States of depression are considered to relate to a cognitive bias reactivity to emotional events. Moreover, gender effect may influence differences in emotional processing. The current study is to investigate whether there is an interaction of cognitive bias by gender on emotional processing in minor depression (MiD) and major depression (MaD). N170 component was obtained during a visual emotional oddball paradigm to manipulate the processing of emotional information in 33 MiD, 36 MaD, and 32 controls (CN). Compared with CN, in male, both MiD and MaD had lower N170 amplitudes for happy faces, but MaD had higher N170 amplitudes for sad faces; in female, both MiD and MaD had lower N170 amplitudes for happy and neutral faces, but higher N170 amplitudes for sad faces. Compared with MaD in male, MiD had higher N170 amplitudes for happy faces, lower N170 amplitudes for sad faces; in female, MiD only had higher N170 amplitudes for sad faces. Interestingly, a negative relationship was observed between N170 amplitude and the HDRS score for identification of happy faces in depressed patients while N170 amplitude was positively correlated with the HDRS score for sad faces identification. These results provide novel evidence for the mood-brightening effect with an interaction of cognitive bias by gender on emotional processing. It further suggests that female depression may be more vulnerable than male during emotional face processing with the unconscious negative cognitive bias and depressive syndromes may exist on a spectrum of severity on emotional face processing.

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Titel: Cognitive Bias by Gender Interaction on N170 Response to Emotional Facial Expressions in Major and Minor Depression
verfasst von: Xingqu Wu
Jiu Chen
Ting Jia
Wentao Ma
Yan Zhang
Zihe Deng
Laiqi Yang
Publikationsdatum: 01.03.2016
Verlag: Springer US
Erschienen in: Brain Topography / Ausgabe 2/2016
Print ISSN: 0896-0267
Elektronische ISSN: 1573-6792
DOI: https://doi.org/10.1007/s10548-015-0444-4

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