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Identifying Emotions on the Basis of Neural Activation

Author

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

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.

Suggested Citation

  • Karim S Kassam & Amanda R Markey & Vladimir L Cherkassky & George Loewenstein & Marcel Adam Just, 2013. "Identifying Emotions on the Basis of Neural Activation," PLOS ONE, Public Library of Science, vol. 8(6), pages 1-12, June.
    • Handle: RePEc:plo:pone00:0066032
    DOI: 10.1371/journal.pone.0066032
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    References listed on IDEAS

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    Cited by:

    1. Marcel Adam Just & Vladimir L Cherkassky & Augusto Buchweitz & Timothy A Keller & Tom M Mitchell, 2014. "Identifying Autism from Neural Representations of Social Interactions: Neurocognitive Markers of Autism," PLOS ONE, Public Library of Science, vol. 9(12), pages 1-22, December.
    2. Bin Liu & Ramesh Govindan & Brian Uzzi, 2016. "Do Emotions Expressed Online Correlate with Actual Changes in Decision-Making?: The Case of Stock Day Traders," PLOS ONE, Public Library of Science, vol. 11(1), pages 1-11, January.
    3. Dinarte Diaz,Lelys Ileana, 2020. "Peer Effects on Violence : Experimental Evidence from El Salvador," Policy Research Working Paper Series 9187, The World Bank.

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