Automatic processing of changes in facial emotions in dysphoria: A magnetoencephalography study

21Citations
Citations of this article
37Readers
Mendeley users who have this article in their library.

Abstract

It is not known to what extent the automatic encoding and change detection of peripherally presented facial emotion is altered in dysphoria. The negative bias in automatic face processing in particular has rarely been studied. We used magnetoencephalography (MEG) to record automatic brain responses to happy and sad faces in dysphoric (Beck’s Depression Inventory ≥ 13) and control participants. Stimuli were presented in a passive oddball condition, which allowed potential negative bias in dysphoria at different stages of face processing (M100, M170, and M300) and alterations of change detection (visual mismatch negativity, vMMN) to be investigated. The magnetic counterpart of the vMMN was elicited at all stages of face processing, indexing automatic deviance detection in facial emotions. The M170 amplitude was modulated by emotion, response amplitudes being larger for sad faces than happy faces. Group differences were found for the M300, and they were indexed by two different interaction effects. At the left occipital region of interest, the dysphoric group had larger amplitudes for sad than happy deviant faces, reflecting negative bias in deviance detection, which was not found in the control group. On the other hand, the dysphoric group showed no vMMN to changes in facial emotions, while the vMMN was observed in the control group at the right occipital region of interest. Our results indicate that there is a negative bias in automatic visual deviance detection, but also a general change detection deficit in dysphoria.

References Powered by Scopus

Bayesian t tests for accepting and rejecting the null hypothesis

2857Citations
N/AReaders
Get full text

Brainstorm: A user-friendly application for MEG/EEG analysis

2575Citations
N/AReaders
Get full text

Electrophysiological studies of face perception in humans

2533Citations
N/AReaders
Get full text

Cited by Powered by Scopus

Prediction-based neural mechanisms for shielding the self from existential threat

22Citations
N/AReaders
Get full text

A Review of AI Cloud and Edge Sensors, Methods, and Applications for the Recognition of Emotional, Affective and Physiological States

19Citations
N/AReaders
Get full text

Event-related potentials to task-irrelevant sad faces as a state marker of depression

18Citations
N/AReaders
Get full text

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

Xu, Q., Ruohonen, E. M., Ye, C., Li, X., Kreegipuu, K., Stefanics, G., … Astikainen, P. (2018). Automatic processing of changes in facial emotions in dysphoria: A magnetoencephalography study. Frontiers in Human Neuroscience, 12. https://doi.org/10.3389/fnhum.2018.00186

Readers over time

‘18‘19‘20‘21‘22‘23‘24‘250481216

Readers' Seniority

Tooltip

PhD / Post grad / Masters / Doc 18

86%

Professor / Associate Prof. 1

5%

Lecturer / Post doc 1

5%

Researcher 1

5%

Readers' Discipline

Tooltip

Psychology 15

71%

Neuroscience 4

19%

Computer Science 1

5%

Nursing and Health Professions 1

5%

Article Metrics

Tooltip
Mentions
News Mentions: 1
Social Media
Shares, Likes & Comments: 76

Save time finding and organizing research with Mendeley

Sign up for free
0