B1 Non-refereed article in a scientific journal
Mapping emotions on the body
Authors: Nummenmaa Lauri
Publisher: De Gruyter
Publication year: 2022
Journal: Scandinavian Journal of Pain
Journal name in source: SCANDINAVIAN JOURNAL OF PAIN
Journal acronym: SCAND J PAIN
Volume: 22
Issue: 4
First page : 667
Last page: 669
Number of pages: 3
ISSN: 1877-8860
eISSN: 1877-8879
DOI: https://doi.org/10.1515/sjpain-2022-0087
Web address : https://doi.org/10.1515/sjpain-2022-0087
Self-archived copy’s web address: https://research.utu.fi/converis/portal/detail/Publication/177014503
Abstract
Emotions are allostatic processes that transform the relationship between the environment and the desired bodily states into behaviour supporting homeostasis and well-being. Central emotion circuits are thus tightly coupled with the visceral signaling pathways and the autonomic nervous system (ANS). Although ANS activity patterns are not always emotion-specific, self-reported bodily sensations and pattern recognition analysis of functional magnetic resonance imaging data suggest discrete bodily and neural basis of emotions. The advent of total-body positron emission tomography (PET) systems allows simultaneous measurement of the central and peripheral axis of the emotional response. This provides a unique opportunity for quantifying the systems-level biology of the human emotion circuits.
Emotions are allostatic processes that transform the relationship between the environment and the desired bodily states into behaviour supporting homeostasis and well-being. Central emotion circuits are thus tightly coupled with the visceral signaling pathways and the autonomic nervous system (ANS). Although ANS activity patterns are not always emotion-specific, self-reported bodily sensations and pattern recognition analysis of functional magnetic resonance imaging data suggest discrete bodily and neural basis of emotions. The advent of total-body positron emission tomography (PET) systems allows simultaneous measurement of the central and peripheral axis of the emotional response. This provides a unique opportunity for quantifying the systems-level biology of the human emotion circuits.
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