Self-face recognition of depression

doi:10.3969/j.issn.1006-7795.2013.02.009

Abstract

Abstract:

Objective To investigate self-abnormality of depression patients using the experimental psychology paradigm of self-face recognition(SFR). Methods We used the Photoshop, Murph image processing technology to prepare the face images of 16 patients with depression who met the criteria of the DSM-Ⅳ and 16 normal subjects with matched gender, age and education level. The subjects were asked to recognize the face images presented on a computer, the data of the response times recorded by the computer were analyzed by Metlab and SPSS software. Results In the self face images recognition, the patients with depression were slower than that of the healthy subjects(P<0.05). In the stranger images recognition, there were no statistically significant differences between depression patients and healthy subjects(P>0.05). And in the famous images recognition, the right hands of depression patients reacted slower than normal subjects(P<0.05), and left no statistical difference(P>0.05). Conclusion The result indicated that depression patients had self-abnormality.

Key words: depression, face recognition, self-abnormal

CLC Number:

R749.4⁺1

YIN Mengya, JIA Hongxiao, ZHU Hong, LIU Jia. Self-face recognition of depression[J]. Journal of Capital Medical University, 2013, 34(2): 207-210.

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URL: https://journal03.magtech.org.cn/Jweb_sdykdxxb/EN/10.3969/j.issn.1006-7795.2013.02.009

https://journal03.magtech.org.cn/Jweb_sdykdxxb/EN/Y2013/V34/I2/207

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