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dc.contributor.authorXu, Qianru
dc.contributor.authorRuohonen, Elisa
dc.contributor.authorYe, Chaoxiong
dc.contributor.authorLi, Xueqiao
dc.contributor.authorKreegipuu, Kairi
dc.contributor.authorStefanics, Gabor
dc.contributor.authorLuo, Wenbo
dc.contributor.authorAstikainen, Piia
dc.date.accessioned2018-05-25T11:08:22Z
dc.date.available2018-05-25T11:08:22Z
dc.date.issued2018
dc.identifier.citationXu, Q., Ruohonen, E., Ye, C., Li, X., Kreegipuu, K., Stefanics, G., Luo, W., & Astikainen, P. (2018). Automatic Processing of Changes in Facial Emotions in Dysphoria : A Magnetoencephalography Study. <i>Frontiers in Human Neuroscience</i>, <i>12</i>, Article 186. <a href="https://doi.org/10.3389/fnhum.2018.00186" target="_blank">https://doi.org/10.3389/fnhum.2018.00186</a>
dc.identifier.otherCONVID_28049026
dc.identifier.otherTUTKAID_77619
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/58126
dc.description.abstractIt 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.fi
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherFrontiers Research Foundation
dc.relation.ispartofseriesFrontiers in Human Neuroscience
dc.rightsCC BY 4.0
dc.subject.otherdysphoria
dc.titleAutomatic Processing of Changes in Facial Emotions in Dysphoria : A Magnetoencephalography Study
dc.typearticle
dc.identifier.urnURN:NBN:fi:jyu-201805112538
dc.contributor.laitosPsykologian laitosfi
dc.contributor.laitosDepartment of Psychologyen
dc.contributor.oppiainePsykologiafi
dc.contributor.oppiaineMonitieteinen aivotutkimuskeskusfi
dc.contributor.oppiaineHyvinvoinnin tutkimuksen yhteisöfi
dc.contributor.oppiainePsychologyen
dc.contributor.oppiaineCentre for Interdisciplinary Brain Researchen
dc.contributor.oppiaineSchool of Wellbeingen
dc.type.urihttp://purl.org/eprint/type/JournalArticle
dc.date.updated2018-05-11T15:15:05Z
dc.type.coarhttp://purl.org/coar/resource_type/c_2df8fbb1
dc.description.reviewstatuspeerReviewed
dc.relation.issn1662-5161
dc.relation.numberinseries0
dc.relation.volume12
dc.type.versionpublishedVersion
dc.rights.copyright© 2018 Xu, Ruohonen, Ye, Li, Kreegipuu, Stefanics, Luo and Astikainen.
dc.rights.accesslevelopenAccessfi
dc.subject.ysotunteet
dc.subject.ysoilmeet
dc.subject.ysohavaitseminen
dc.subject.ysomasennus
dc.subject.ysoMEG
dc.format.contentfulltext
jyx.subject.urihttp://www.yso.fi/onto/yso/p3485
jyx.subject.urihttp://www.yso.fi/onto/yso/p7717
jyx.subject.urihttp://www.yso.fi/onto/yso/p5293
jyx.subject.urihttp://www.yso.fi/onto/yso/p7995
jyx.subject.urihttp://www.yso.fi/onto/yso/p3329
dc.rights.urlhttps://creativecommons.org/licenses/by/4.0/
dc.relation.doi10.3389/fnhum.2018.00186
dc.type.okmA1


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