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      Emotionotopy in the human right temporo-parietal cortex

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          Abstract

          Humans use emotions to decipher complex cascades of internal events. However, which mechanisms link descriptions of affective states to brain activity is unclear, with evidence supporting either local or distributed processing. A biologically favorable alternative is provided by the notion of gradient, which postulates the isomorphism between functional representations of stimulus features and cortical distance. Here, we use fMRI activity evoked by an emotionally charged movie and continuous ratings of the perceived emotion intensity to reveal the topographic organization of affective states. Results show that three orthogonal and spatially overlapping gradients encode the polarity, complexity and intensity of emotional experiences in right temporo-parietal territories. The spatial arrangement of these gradients allows the brain to map a variety of affective states within a single patch of cortex. As this organization resembles how sensory regions represent psychophysical properties (e.g., retinotopy), we propose emotionotopy as a principle of emotion coding.

          Abstract

          People can experience a wide variety of emotions, and how the brain represents these varying affective states is a matter of debate. Here the authors show that coding mechanisms of emotions in right temporo-parietal cortex resemble those of low-level stimulus features in primary sensory regions.

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          Most cited references52

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          Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing

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            Situating the default-mode network along a principal gradient of macroscale cortical organization.

            Understanding how the structure of cognition arises from the topographical organization of the cortex is a primary goal in neuroscience. Previous work has described local functional gradients extending from perceptual and motor regions to cortical areas representing more abstract functions, but an overarching framework for the association between structure and function is still lacking. Here, we show that the principal gradient revealed by the decomposition of connectivity data in humans and the macaque monkey is anchored by, at one end, regions serving primary sensory/motor functions and at the other end, transmodal regions that, in humans, are known as the default-mode network (DMN). These DMN regions exhibit the greatest geodesic distance along the cortical surface-and are precisely equidistant-from primary sensory/motor morphological landmarks. The principal gradient also provides an organizing spatial framework for multiple large-scale networks and characterizes a spectrum from unimodal to heteromodal activity in a functional metaanalysis. Together, these observations provide a characterization of the topographical organization of cortex and indicate that the role of the DMN in cognition might arise from its position at one extreme of a hierarchy, allowing it to process transmodal information that is unrelated to immediate sensory input.
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              Autonomic nervous system activity in emotion: A review

              Autonomic nervous system (ANS) activity is viewed as a major component of the emotion response in many recent theories of emotion. Positions on the degree of specificity of ANS activation in emotion, however, greatly diverge, ranging from undifferentiated arousal, over acknowledgment of strong response idiosyncrasies, to highly specific predictions of autonomic response patterns for certain emotions. A review of 134 publications that report experimental investigations of emotional effects on peripheral physiological responding in healthy individuals suggests considerable ANS response specificity in emotion when considering subtypes of distinct emotions. The importance of sound terminology of investigated affective states as well as of choice of physiological measures in assessing ANS reactivity is discussed. Copyright © 2010 Elsevier B.V. All rights reserved.
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                Author and article information

                Contributors
                luca.cecchetti@imtlucca.it
                Journal
                Nat Commun
                Nat Commun
                Nature Communications
                Nature Publishing Group UK (London )
                2041-1723
                5 December 2019
                5 December 2019
                2019
                : 10
                : 5568
                Affiliations
                ISNI 0000 0004 1790 9464, GRID grid.462365.0, MoMiLab Research Unit, , IMT School for Advanced Studies Lucca, ; Lucca, Italy
                Author information
                http://orcid.org/0000-0001-8027-9053
                http://orcid.org/0000-0001-5677-8434
                http://orcid.org/0000-0002-1948-6608
                http://orcid.org/0000-0002-6249-841X
                http://orcid.org/0000-0001-5184-6477
                Article
                13599
                10.1038/s41467-019-13599-z
                6895053
                31804504
                dc7a4916-1247-4b3a-a21c-dbd32c0bf724
                © The Author(s) 2019

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 19 November 2018
                : 12 November 2019
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                © The Author(s) 2019

                Uncategorized
                emotion,social neuroscience
                Uncategorized
                emotion, social neuroscience

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