Electrophysiological representations of multivariate human emotion experience.
In: Cognition & Emotion, Jg. 38 (2024-05-01), Heft 3, S. 378-388
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Zugriff:
Despite the fact that human daily emotions are co-occurring by nature, most neuroscience studies have primarily adopted a univariate approach to identify the neural representation of emotion (emotion experience within a single emotion category) without adequate consideration of the co-occurrence of different emotions (emotion experience across different emotion categories simultaneously). To investigate the neural representations of multivariate emotion experience, this study employed the inter-situation representational similarity analysis (RSA) method. Researchers used an EEG dataset of 78 participants who watched 28 video clips and rated their experience on eight emotion categories. The EEG-based electrophysiological representation was extracted as the power spectral density (PSD) feature per channel in the five frequency bands. The inter-situation RSA method revealed significant correlations between the multivariate emotion experience ratings and PSD features in the Alpha and Beta bands, primarily over the frontal and parietal-occipital brain regions. The study found the identified EEG representations to be reliable with sufficient situations and participants. Moreover, through a series of ablation analyses, the inter-situation RSA further demonstrated the stability and specificity of the EEG representations for multivariate emotion experience. These findings highlight the importance of adopting a multivariate perspective for a comprehensive understanding of the neural representation of human emotion experience. [ABSTRACT FROM AUTHOR]
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Electrophysiological representations of multivariate human emotion experience.
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Autor/in / Beteiligte Person: | Liu, Jin ; Hu, Xin ; Shen, Xinke ; Song, Sen ; Zhang, Dan |
Zeitschrift: | Cognition & Emotion, Jg. 38 (2024-05-01), Heft 3, S. 378-388 |
Veröffentlichung: | 2024 |
Medientyp: | academicJournal |
ISSN: | 0269-9931 (print) |
DOI: | 10.1080/02699931.2023.2297272 |
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