Event-related EEG oscillatory responses elicited by dynamic facial expression

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dc.contributor.authorAkturk, Tuba
dc.contributor.authorde Graaf, Tom A.
dc.contributor.authorAbra, Yasemin
dc.contributor.authorSahoglu-Goktas, Sevilay
dc.contributor.authorOzkan, Dilek
dc.contributor.authorKula, Aysun
dc.contributor.authorGuntekin, Bahar
dc.date.accessioned2024-02-23T14:27:19Z
dc.date.available2024-02-23T14:27:19Z
dc.date.issued2021
dc.departmentNEÜen_US
dc.description.abstractBackground Recognition of facial expressions (FEs) plays a crucial role in social interactions. Most studies on FE recognition use static (image) stimuli, even though real-life FEs are dynamic. FE processing is complex and multifaceted, and its neural correlates remain unclear. Transitioning from static to dynamic FE stimuli might help disentangle the neural oscillatory mechanisms underlying face processing and recognition of emotion expression. To our knowledge, we here present the first time-frequency exploration of oscillatory brain mechanisms underlying the processing of dynamic FEs. Results Videos of joyful, fearful, and neutral dynamic facial expressions were presented to 18 included healthy young adults. We analyzed event-related activity in electroencephalography (EEG) data, focusing on the delta, theta, and alpha-band oscillations. Since the videos involved a transition from neutral to emotional expressions (onset around 500 ms), we identified time windows that might correspond to face perception initially (time window 1; first TW), and emotion expression recognition subsequently (around 1000 ms; second TW). First TW showed increased power and phase-locking values for all frequency bands. In the first TW, power and phase-locking values were higher in the delta and theta bands for emotional FEs as compared to neutral FEs, thus potentially serving as a marker for emotion recognition in dynamic face processing. Conclusions Our time-frequency exploration revealed consistent oscillatory responses to complex, dynamic, ecologically meaningful FE stimuli. We conclude that while dynamic FE processing involves complex network dynamics, dynamic FEs were successfully used to reveal temporally separate oscillation responses related to face processing and subsequently emotion expression recognition.en_US
dc.identifier.doi10.1186/s12938-021-00882-8
dc.identifier.issn1475-925X
dc.identifier.issue1en_US
dc.identifier.pmid33906649en_US
dc.identifier.scopus2-s2.0-85105105339en_US
dc.identifier.urihttps://doi.org/10.1186/s12938-021-00882-8
dc.identifier.urihttps://hdl.handle.net/20.500.12452/14545
dc.identifier.volume20en_US
dc.identifier.wosWOS:000644826900001en_US
dc.identifier.wosqualityQ3en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakPubMeden_US
dc.language.isoenen_US
dc.publisherBmcen_US
dc.relation.ispartofBiomedical Engineering Onlineen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectEvent-Related Oscillationsen_US
dc.subjectDynamic Facial Expressionen_US
dc.subjectEvent-Related Power Analysisen_US
dc.subjectEmotionen_US
dc.titleEvent-related EEG oscillatory responses elicited by dynamic facial expressionen_US
dc.typeArticleen_US

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