Identifying Emotions on the Basis of Neural Activation

Karim S Kassam, Amanda R Markey, Vladimir L Cherkassky, George Loewenstein and Marcel Adam Just

PLOS ONE, 2013, vol. 8, issue 6, 1-12

Abstract: We attempt to determine the discriminability and organization of neural activation corresponding to the experience of specific emotions. Method actors were asked to self-induce nine emotional states (anger, disgust, envy, fear, happiness, lust, pride, sadness, and shame) while in an fMRI scanner. Using a Gaussian Naïve Bayes pooled variance classifier, we demonstrate the ability to identify specific emotions experienced by an individual at well over chance accuracy on the basis of: 1) neural activation of the same individual in other trials, 2) neural activation of other individuals who experienced similar trials, and 3) neural activation of the same individual to a qualitatively different type of emotion induction. Factor analysis identified valence, arousal, sociality, and lust as dimensions underlying the activation patterns. These results suggest a structure for neural representations of emotion and inform theories of emotional processing.

Date: 2013
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0066032

DOI: 10.1371/journal.pone.0066032

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