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Only Words Count; the Rest Is Mere Chattering: A Cross-Disciplinary Approach to the Verbal Expression of Emotional Experience
The analysis of sequences of words and prosody, meter, and rhythm provided in an interview addressing the capacity to identify and describe emotions represents a powerful tool to reveal emotional processing. The ability to express and identify emotions was analyzed by means of the Toronto Structured...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9404916/ https://www.ncbi.nlm.nih.gov/pubmed/36004863 http://dx.doi.org/10.3390/bs12080292 |
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author | Laricchiuta, Daniela Termine, Andrea Fabrizio, Carlo Passarello, Noemi Greco, Francesca Piras, Fabrizio Picerni, Eleonora Cutuli, Debora Marini, Andrea Mandolesi, Laura Spalletta, Gianfranco Petrosini, Laura |
author_facet | Laricchiuta, Daniela Termine, Andrea Fabrizio, Carlo Passarello, Noemi Greco, Francesca Piras, Fabrizio Picerni, Eleonora Cutuli, Debora Marini, Andrea Mandolesi, Laura Spalletta, Gianfranco Petrosini, Laura |
author_sort | Laricchiuta, Daniela |
collection | PubMed |
description | The analysis of sequences of words and prosody, meter, and rhythm provided in an interview addressing the capacity to identify and describe emotions represents a powerful tool to reveal emotional processing. The ability to express and identify emotions was analyzed by means of the Toronto Structured Interview for Alexithymia (TSIA), and TSIA transcripts were analyzed by Natural Language Processing to shed light on verbal features. The brain correlates of the capacity to translate emotional experience into words were determined through cortical thickness measures. A machine learning methodology proved that individuals with deficits in identifying and describing emotions (n = 7) produced language distortions, frequently used the present tense of auxiliary verbs, and few possessive determiners, as well as scarcely connected the speech, in comparison to individuals without deficits (n = 7). Interestingly, they showed high cortical thickness at left temporal pole and low at isthmus of the right cingulate cortex. Overall, we identified the neuro-linguistic pattern of the expression of emotional experience. |
format | Online Article Text |
id | pubmed-9404916 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-94049162022-08-26 Only Words Count; the Rest Is Mere Chattering: A Cross-Disciplinary Approach to the Verbal Expression of Emotional Experience Laricchiuta, Daniela Termine, Andrea Fabrizio, Carlo Passarello, Noemi Greco, Francesca Piras, Fabrizio Picerni, Eleonora Cutuli, Debora Marini, Andrea Mandolesi, Laura Spalletta, Gianfranco Petrosini, Laura Behav Sci (Basel) Article The analysis of sequences of words and prosody, meter, and rhythm provided in an interview addressing the capacity to identify and describe emotions represents a powerful tool to reveal emotional processing. The ability to express and identify emotions was analyzed by means of the Toronto Structured Interview for Alexithymia (TSIA), and TSIA transcripts were analyzed by Natural Language Processing to shed light on verbal features. The brain correlates of the capacity to translate emotional experience into words were determined through cortical thickness measures. A machine learning methodology proved that individuals with deficits in identifying and describing emotions (n = 7) produced language distortions, frequently used the present tense of auxiliary verbs, and few possessive determiners, as well as scarcely connected the speech, in comparison to individuals without deficits (n = 7). Interestingly, they showed high cortical thickness at left temporal pole and low at isthmus of the right cingulate cortex. Overall, we identified the neuro-linguistic pattern of the expression of emotional experience. MDPI 2022-08-18 /pmc/articles/PMC9404916/ /pubmed/36004863 http://dx.doi.org/10.3390/bs12080292 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Laricchiuta, Daniela Termine, Andrea Fabrizio, Carlo Passarello, Noemi Greco, Francesca Piras, Fabrizio Picerni, Eleonora Cutuli, Debora Marini, Andrea Mandolesi, Laura Spalletta, Gianfranco Petrosini, Laura Only Words Count; the Rest Is Mere Chattering: A Cross-Disciplinary Approach to the Verbal Expression of Emotional Experience |
title | Only Words Count; the Rest Is Mere Chattering: A Cross-Disciplinary Approach to the Verbal Expression of Emotional Experience |
title_full | Only Words Count; the Rest Is Mere Chattering: A Cross-Disciplinary Approach to the Verbal Expression of Emotional Experience |
title_fullStr | Only Words Count; the Rest Is Mere Chattering: A Cross-Disciplinary Approach to the Verbal Expression of Emotional Experience |
title_full_unstemmed | Only Words Count; the Rest Is Mere Chattering: A Cross-Disciplinary Approach to the Verbal Expression of Emotional Experience |
title_short | Only Words Count; the Rest Is Mere Chattering: A Cross-Disciplinary Approach to the Verbal Expression of Emotional Experience |
title_sort | only words count; the rest is mere chattering: a cross-disciplinary approach to the verbal expression of emotional experience |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9404916/ https://www.ncbi.nlm.nih.gov/pubmed/36004863 http://dx.doi.org/10.3390/bs12080292 |
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