Distinct facial processing related negative cognitive bias in first-episode and recurrent major depression: evidence from the N170 ERP component.

Ulrich Von Hecker,Jiu Chen,Zihe Deng,Wentao Ma,Xingqu Wu,Yan Zhang,Laiqi Yang,Dunhong Wei,Zhijun Zhang,Guangxiong Liu

doi:10.1371/journal.pone.0109176

Abstract

BackgroundStates of depression are associated with increased sensitivity to negative events. For this novel study, we have assessed the relationship between the number of depressive episodes and the dysfunctional processing of emotional facial expressions.Methodology/Principal FindingsWe used a visual emotional oddball paradigm to manipulate the processing of emotional information while event-related brain potentials were recorded in 45 patients with first episode major depression (F-MD), 40 patients with recurrent major depression (R-MD), and 46 healthy controls (HC). Compared with the HC group, F-MD patients had lower N170 amplitudes when identifying happy, neutral, and sad faces; R-MD patients had lower N170 amplitudes when identifying happy and neutral faces, but higher N170 amplitudes when identifying sad faces. F-MD patients had longer N170 latencies when identifying happy, neutral, and sad faces relative to the HC group, and R-MD patients had longer N170 latencies when identifying happy and neutral faces, but shorter N170 latencies when identifying sad faces compared with F-MD patients. Interestingly, a negative relationship was observed between N170 amplitude and the depressive severity score for identification of happy faces in R-MD patients while N170 amplitude was positively correlated with the depressive severity score for identification of sad faces in F-MD and R-MD patients. Additionally, the deficits of N170 amplitude for sad faces positively correlated with the number of depressive episodes in R-MD patients.Conclusion/SignificanceThese results provide new evidence that having more recurrent depressive episodes and serious depressive states are likely to aggravate the already abnormal processing of emotional facial expressions in patients with depression. Moreover, it further suggests that the impaired processing as indexed by N170 amplitude for positive face identification may be a potentially useful biomarker for predicting propagation of depression while N170 amplitude for negative face identification could be a potential biomarker for depression recurrence.

Highlights

Depression is a commonly occurring mental disease [1]
Our study reports that first episode major depression (F-MD) and recurrent major depression (R-MD) patients had slower Reaction time (RT) and lower accuracies for identifying happy and neutral faces relative to healthy controls (HC) subjects
A noticeable exception was that R-MD patients had shorter RTs and higher accuracies for sad faces compared with the F-MD and HC groups

Summary

Introduction

The first study of the cognitive theories of depression [2] indicated that cognitive processing can be affected by the unconscious negative or pessimistic schemata activated by stressful events, which include selection, encoding, perception, and interpretation of actual experiences [3,4]. Other supporting evidence suggests that depressive states are classically related to increased sensitivity to negative events [7]. This hypersensitivity may be further enhanced with each recurrent depressive episode. States of depression are associated with increased sensitivity to negative events For this novel study, we have assessed the relationship between the number of depressive episodes and the dysfunctional processing of emotional facial expressions

Objectives

Methods

Results

Discussion

Conclusion