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Neural Basis of Emotion Regulation

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Book cover Development of Multimodal Interfaces: Active Listening and Synchrony

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 5967))

Abstract

From the neurobiological point of view emotions can be defined as complex responses to personally-relevant events; such responses are characterized by peculiar subjective feelings and vegetative and motor reactions. In man the complex neural network subserving emotions has been traditionally studied via clinical observations of brain-damaged patients, but in recent years the development of modern neuroimaging techniques such as Positron Emission Tomography (PET) or functional Magnetic Resonance (fMRI) has allowed to investigate the neural basis of emotions and emotion regulation in normal subjects. The present chapter offers a brief overview of the main neural structures involved in emotion processing, summarizes the role recently ascribed to mirror neurons in empathy, and describes the possible neural basis of integrated emotion regulation typical of our species.

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Authors and Affiliations

  1. Dept. of Psychology, Second University of Naples, Via Vivaldi 43, 81100, Caserta, Italy

    Luigi Trojano

Authors
  1. Luigi Trojano
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Editors and Affiliations

  1. Second University of Naples, and IIASS, Via Pellegrino, 84019, Vietri sul Mare, SA, Italy

    Anna Esposito

  2. Centre for Language and Communication Studies, Trinity College, The University of Dublin, Dublin 2, Ireland

    Nick Campbell  & Carl Vogel  & 

  3. Department of Computing Science & Mathematics, University of Stirling, FK9 4LA, Stirling, Scotland, UK

    Amir Hussain

  4. Faculty of Electrical Engineering, Mathematics and Computer Science, University of Twente, P.O. Box 217, 7500 AE, Enschede, The Netherlands

    Anton Nijholt

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Trojano, L. (2010). Neural Basis of Emotion Regulation. In: Esposito, A., Campbell, N., Vogel, C., Hussain, A., Nijholt, A. (eds) Development of Multimodal Interfaces: Active Listening and Synchrony. Lecture Notes in Computer Science, vol 5967. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12397-9_26

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  • DOI: https://doi.org/10.1007/978-3-642-12397-9_26

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-12396-2

  • Online ISBN: 978-3-642-12397-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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