Literature DB >> 27798257

The theory of constructed emotion: an active inference account of interoception and categorization.

Lisa Feldman Barrett1,2,3.   

Abstract

The science of emotion has been using folk psychology categories derived from philosophy to search for the brain basis of emotion. The last two decades of neuroscience research have brought us to the brink of a paradigm shift in understanding the workings of the brain, however, setting the stage to revolutionize our understanding of what emotions are and how they work. In this article, we begin with the structure and function of the brain, and from there deduce what the biological basis of emotions might be. The answer is a brain-based, computational account called the theory of constructed emotion.
© The Author (2016). Published by Oxford University Press. For Permissions, please email: journals.permissions@oup.com.

Entities:  

Keywords:  affect; categorization; concepts; construction; emotion; interoception; predictive coding

Mesh:

Year:  2017        PMID: 27798257      PMCID: PMC5390700          DOI: 10.1093/scan/nsw154

Source DB:  PubMed          Journal:  Soc Cogn Affect Neurosci        ISSN: 1749-5016            Impact factor:   3.436


  198 in total

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2.  Discrete Neural Signatures of Basic Emotions.

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3.  Multivariate neural biomarkers of emotional states are categorically distinct.

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Review 4.  Whatever next? Predictive brains, situated agents, and the future of cognitive science.

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5.  Pathways for emotions and attention converge on the thalamic reticular nucleus in primates.

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Review 6.  Mechanisms of stress in the brain.

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Review 7.  Redefining the Role of Limbic Areas in Cortical Processing.

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8.  Contributions of the amygdala to reward expectancy and choice signals in human prefrontal cortex.

Authors:  Alan N Hampton; Ralph Adolphs; Michael J Tyszka; John P O'Doherty
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Review 9.  A framework for studying emotions across species.

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10.  Fear and panic in humans with bilateral amygdala damage.

Authors:  Justin S Feinstein; Colin Buzza; Rene Hurlemann; Robin L Follmer; Nader S Dahdaleh; William H Coryell; Michael J Welsh; Daniel Tranel; John A Wemmie
Journal:  Nat Neurosci       Date:  2013-02-03       Impact factor: 24.884

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  158 in total

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2.  "Grumpy" or "furious"? arousal of emotion labels influences judgments of facial expressions.

Authors:  Megan S Barker; Emma M Bidstrup; Gail A Robinson; Nicole L Nelson
Journal:  PLoS One       Date:  2020-07-01       Impact factor: 3.240

Review 3.  The Default Mode Network's Role in Discrete Emotion.

Authors:  Ajay B Satpute; Kristen A Lindquist
Journal:  Trends Cogn Sci       Date:  2019-08-16       Impact factor: 20.229

Review 4.  Visual perception of facial expressions of emotion.

Authors:  Aleix M Martinez
Journal:  Curr Opin Psychol       Date:  2017-06-21

5.  Stronger Functional Connectivity in the Default Mode and Salience Networks Is Associated With Youthful Memory in Superaging.

Authors:  Jiahe Zhang; Joseph M Andreano; Bradford C Dickerson; Alexandra Touroutoglou; Lisa Feldman Barrett
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Review 7.  The multifaceted abstract brain.

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8.  The Resting Brain Sets Support-Giving in Motion: Dorsomedial Prefrontal Cortex Activity During Momentary Rest Primes Supportive Responding.

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9.  The amygdala instructs insular feedback for affective learning.

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Review 10.  Deconstructing arousal into wakeful, autonomic and affective varieties.

Authors:  Ajay B Satpute; Philip A Kragel; Lisa Feldman Barrett; Tor D Wager; Marta Bianciardi
Journal:  Neurosci Lett       Date:  2018-01-31       Impact factor: 3.046

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