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Brain network topology and personality traits: A source level magnetoencephalographic study

Personality neuroscience is focusing on the correlation between individual differences and the efficiency of large‐scale networks from the perspective of the brain as an interconnected network. A suitable technique to explore this relationship is the magnetoencephalography (MEG), but not many MEG st...

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Autores principales: Troisi Lopez, Emahnuel, Colonnello, Valentina, Liparoti, Marianna, Castaldi, Mauro, Alivernini, Fabio, Russo, Paolo Maria, Sorrentino, Giuseppe, Lucidi, Fabio, Mandolesi, Laura, Sorrentino, Pierpaolo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9796445/
https://www.ncbi.nlm.nih.gov/pubmed/35674278
http://dx.doi.org/10.1111/sjop.12835
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author Troisi Lopez, Emahnuel
Colonnello, Valentina
Liparoti, Marianna
Castaldi, Mauro
Alivernini, Fabio
Russo, Paolo Maria
Sorrentino, Giuseppe
Lucidi, Fabio
Mandolesi, Laura
Sorrentino, Pierpaolo
author_facet Troisi Lopez, Emahnuel
Colonnello, Valentina
Liparoti, Marianna
Castaldi, Mauro
Alivernini, Fabio
Russo, Paolo Maria
Sorrentino, Giuseppe
Lucidi, Fabio
Mandolesi, Laura
Sorrentino, Pierpaolo
author_sort Troisi Lopez, Emahnuel
collection PubMed
description Personality neuroscience is focusing on the correlation between individual differences and the efficiency of large‐scale networks from the perspective of the brain as an interconnected network. A suitable technique to explore this relationship is the magnetoencephalography (MEG), but not many MEG studies are aimed at investigating topological properties correlated to personality traits. By using MEG, the present study aims to evaluate how individual differences described in Cloninger's psychobiological model are correlated with specific cerebral structures. Fifty healthy individuals (20 males, 30 females, mean age: 27.4 ± 4.8 years) underwent Temperament and Character Inventory examination and MEG recording during a resting state condition. High harm avoidance scores were associated with a reduced centrality of the left caudate nucleus and this negative correlation was maintained in females when we analyzed gender differences. Our data suggest that the caudate nucleus plays a key role in adaptive behavior and could be a critical node in insular salience network. The clear difference between males and females allows us to suggest that topological organization correlated to personality is highly dependent on gender. Our findings provide new insights to evaluate the mutual influences of topological and functional connectivity in neural communication efficiency and disruption as biomarkers of psychopathological traits.
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spelling pubmed-97964452022-12-30 Brain network topology and personality traits: A source level magnetoencephalographic study Troisi Lopez, Emahnuel Colonnello, Valentina Liparoti, Marianna Castaldi, Mauro Alivernini, Fabio Russo, Paolo Maria Sorrentino, Giuseppe Lucidi, Fabio Mandolesi, Laura Sorrentino, Pierpaolo Scand J Psychol Cognition and Neurosciences Personality neuroscience is focusing on the correlation between individual differences and the efficiency of large‐scale networks from the perspective of the brain as an interconnected network. A suitable technique to explore this relationship is the magnetoencephalography (MEG), but not many MEG studies are aimed at investigating topological properties correlated to personality traits. By using MEG, the present study aims to evaluate how individual differences described in Cloninger's psychobiological model are correlated with specific cerebral structures. Fifty healthy individuals (20 males, 30 females, mean age: 27.4 ± 4.8 years) underwent Temperament and Character Inventory examination and MEG recording during a resting state condition. High harm avoidance scores were associated with a reduced centrality of the left caudate nucleus and this negative correlation was maintained in females when we analyzed gender differences. Our data suggest that the caudate nucleus plays a key role in adaptive behavior and could be a critical node in insular salience network. The clear difference between males and females allows us to suggest that topological organization correlated to personality is highly dependent on gender. Our findings provide new insights to evaluate the mutual influences of topological and functional connectivity in neural communication efficiency and disruption as biomarkers of psychopathological traits. John Wiley and Sons Inc. 2022-06-08 2022-10 /pmc/articles/PMC9796445/ /pubmed/35674278 http://dx.doi.org/10.1111/sjop.12835 Text en © 2022 The Authors. Scandinavian Journal of Psychology published by Scandinavian Psychological Associations and John Wiley & Sons Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Cognition and Neurosciences
Troisi Lopez, Emahnuel
Colonnello, Valentina
Liparoti, Marianna
Castaldi, Mauro
Alivernini, Fabio
Russo, Paolo Maria
Sorrentino, Giuseppe
Lucidi, Fabio
Mandolesi, Laura
Sorrentino, Pierpaolo
Brain network topology and personality traits: A source level magnetoencephalographic study
title Brain network topology and personality traits: A source level magnetoencephalographic study
title_full Brain network topology and personality traits: A source level magnetoencephalographic study
title_fullStr Brain network topology and personality traits: A source level magnetoencephalographic study
title_full_unstemmed Brain network topology and personality traits: A source level magnetoencephalographic study
title_short Brain network topology and personality traits: A source level magnetoencephalographic study
title_sort brain network topology and personality traits: a source level magnetoencephalographic study
topic Cognition and Neurosciences
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9796445/
https://www.ncbi.nlm.nih.gov/pubmed/35674278
http://dx.doi.org/10.1111/sjop.12835
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