Identifying Emotions on the Basis of Neural Activation.
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. Us...
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oai:doaj.org-article:4dd9de6f633645b4bacb5087ee127b552021-11-18T07:41:07ZIdentifying Emotions on the Basis of Neural Activation.1932-620310.1371/journal.pone.0066032https://doaj.org/article/4dd9de6f633645b4bacb5087ee127b552013-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0066032https://doaj.org/toc/1932-6203We 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.Karim S KassamAmanda R MarkeyVladimir L CherkasskyGeorge LoewensteinMarcel Adam JustPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 8, Iss 6, p e66032 (2013) |
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Medicine R Science Q Karim S Kassam Amanda R Markey Vladimir L Cherkassky George Loewenstein Marcel Adam Just Identifying Emotions on the Basis of Neural Activation. |
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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. |
format |
article |
author |
Karim S Kassam Amanda R Markey Vladimir L Cherkassky George Loewenstein Marcel Adam Just |
author_facet |
Karim S Kassam Amanda R Markey Vladimir L Cherkassky George Loewenstein Marcel Adam Just |
author_sort |
Karim S Kassam |
title |
Identifying Emotions on the Basis of Neural Activation. |
title_short |
Identifying Emotions on the Basis of Neural Activation. |
title_full |
Identifying Emotions on the Basis of Neural Activation. |
title_fullStr |
Identifying Emotions on the Basis of Neural Activation. |
title_full_unstemmed |
Identifying Emotions on the Basis of Neural Activation. |
title_sort |
identifying emotions on the basis of neural activation. |
publisher |
Public Library of Science (PLoS) |
publishDate |
2013 |
url |
https://doaj.org/article/4dd9de6f633645b4bacb5087ee127b55 |
work_keys_str_mv |
AT karimskassam identifyingemotionsonthebasisofneuralactivation AT amandarmarkey identifyingemotionsonthebasisofneuralactivation AT vladimirlcherkassky identifyingemotionsonthebasisofneuralactivation AT georgeloewenstein identifyingemotionsonthebasisofneuralactivation AT marceladamjust identifyingemotionsonthebasisofneuralactivation |
_version_ |
1718423095953326080 |