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Articles

Attention and memory bias to facial emotions underlying negative symptoms of schizophrenia

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Pages 45-59 | Received 17 May 2015, Accepted 27 Nov 2015, Published online: 20 Jan 2016
 

ABSTRACT

Introduction. This study assessed bias in selective attention to facial emotions in negative symptoms of schizophrenia and its influence on subsequent memory for facial emotions.

Methods. Thirty people with schizophrenia who had high and low levels of negative symptoms (n = 15, respectively) and 21 healthy controls completed a visual probe detection task investigating selective attention bias (happy, sad, and angry faces randomly presented for 50, 500, or 1000 ms). A yes/no incidental facial memory task was then completed. Attention bias scores and recognition errors were calculated.

Results. Those with high negative symptoms exhibited reduced attention to emotional faces relative to neutral faces; those with low negative symptoms showed the opposite pattern when faces were presented for 500 ms regardless of the valence. Compared to healthy controls, those with high negative symptoms made more errors for happy faces in the memory task. Reduced attention to emotional faces in the probe detection task was significantly associated with less pleasure and motivation and more recognition errors for happy faces in schizophrenia group only.

Conclusions. Attention bias away from emotional information relatively early in the attentional process and associated diminished positive memory may relate to pathological mechanisms for negative symptoms.

Acknowledgements

The authors would like to thank the study participants, Yong-Chun Bahk, Hyun-Seung Lee, Kyeong-Eun Lee, Yoon-ji Kim, and Soo-Rin Cho who conducted the testing, and the staff at the Yong-In Mental Hospital. The authors also wish to thank Dr William Horan and Dr Tae-Ho Lee for their helpful comments on this manuscript.

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

This work was supported by the National Research Foundation of Korea Grant funded by the Korean Government [grant number NRF-2013S1A5A8023956], The Korea University Institutional Review Board approved this study.

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