Literature DB >> 28892767

Negative bias in expression-related mismatch negativity(MMN) in remitted late-life depression: An event-related potential study.

Zhangying Wu1, Xiaomei Zhong1, Qi Peng1, Ben Chen1, Naikeng Mai1, Yuping Ning2.   

Abstract

Negative bias in cognition is closely associated with susceptibility to recurrent episodes of depression. Given the high recurrence rate of depression, previous studies have focused on the attentive level in late-life depression (LLD), but depression relapse is difficult to detect as a lower chief complaint in elderly people. Facial expression mismatch negativity (EMMN) is a tool that can measure cognitive bias in pre-attentive processing. In this study, we sought to explore the cognitive bias in pre-attentive emotional information processing in LLD. Thirty patients with remitted LLD and 30 non-depressed, age- and gender-matched normal controls (NC) were enrolled in this study. Automatic emotional processing was elicited by using an expression-related oddball paradigm in all participants. There were no significant differences in N170 amplitude and latency between remitted LLD and NC. Compared with NC subjects, patients with remitted LLD demonstrated an attenuated mean amplitude of positive and negative EMMN, whereas the mean amplitude of negative EMMN in remitted LLD was much larger than that of positive EMMN. Our findings suggest that although basic processing of facial expressions is intact in remitted LLD, automatic processing of facial expressions in remitted LLD is impaired with a negative bias in cognition. Further investigation of the contributions of negative bias in EMMN to susceptibility to recurrence of LLD is warranted.
Copyright © 2017. Published by Elsevier Ltd.

Entities:  

Keywords:  Mismatch negativity (MMN); Negative bias; Pre-attentive processing; Remitted late-life depression

Mesh:

Year:  2017        PMID: 28892767     DOI: 10.1016/j.jpsychires.2017.08.019

Source DB:  PubMed          Journal:  J Psychiatr Res        ISSN: 0022-3956            Impact factor:   4.791


  3 in total

1.  Dysfunction in Automatic Processing of Emotional Facial Expressions in Patients with Obstructive Sleep Apnea Syndrome: An Event-Related Potential Study.

Authors:  Renjun Lv; Shanjing Nie; Zhenhua Liu; Yunliang Guo; Yue Zhang; Song Xu; Xunyao Hou; Jian Chen; Yingjuan Ma; Zhongyu Fan; Xueping Liu
Journal:  Nat Sci Sleep       Date:  2020-09-15

2.  Automatic Processing Advantage of Cartoon Face in Internet Gaming Disorder: Evidence From P100, N170, P200, and MMN.

Authors:  Jinbo He; Yang Zheng; Liyan Fan; Ting Pan; Yufeng Nie
Journal:  Front Psychiatry       Date:  2019-11-08       Impact factor: 4.157

3.  Differences in Facial Expression Recognition Between Unipolar and Bipolar Depression.

Authors:  Ma Ruihua; Zhao Meng; Chen Nan; Liu Panqi; Guo Hua; Liu Sijia; Shi Jing; Zhao Ke; Tan Yunlong; Tan Shuping; Yang Fude; Tian Li; Wang Zhiren
Journal:  Front Psychol       Date:  2021-07-14
  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.