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The Multilayer Network Approach in the Study of Personality Neuroscience
It has long been understood that a multitude of biological systems, from genetics, to brain networks, to psychological factors, all play a role in personality. Understanding how these systems interact with each other to form both relatively stable patterns of behaviour, cognition and emotion, but al...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7761383/ https://www.ncbi.nlm.nih.gov/pubmed/33260895 http://dx.doi.org/10.3390/brainsci10120915 |
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author | Brooks, Dora Hulst, Hanneke E. de Bruin, Leon Glas, Gerrit Geurts, Jeroen J. G. Douw, Linda |
author_facet | Brooks, Dora Hulst, Hanneke E. de Bruin, Leon Glas, Gerrit Geurts, Jeroen J. G. Douw, Linda |
author_sort | Brooks, Dora |
collection | PubMed |
description | It has long been understood that a multitude of biological systems, from genetics, to brain networks, to psychological factors, all play a role in personality. Understanding how these systems interact with each other to form both relatively stable patterns of behaviour, cognition and emotion, but also vast individual differences and psychiatric disorders, however, requires new methodological insight. This article explores a way in which to integrate multiple levels of personality simultaneously, with particular focus on its neural and psychological constituents. It does so first by reviewing the current methodology of studies used to relate the two levels, where psychological traits, often defined with a latent variable model are used as higher-level concepts to identify the neural correlates of personality (NCPs). This is known as a top-down approach, which though useful in revealing correlations, is not able to include the fine-grained interactions that occur at both levels. As an alternative, we discuss the use of a novel complex system approach known as a multilayer network, a technique that has recently proved successful in revealing veracious interactions between networks at more than one level. The benefits of the multilayer approach to the study of personality neuroscience follow from its well-founded theoretical basis in network science. Its predictive and descriptive power may surpass that of statistical top-down and latent variable models alone, potentially allowing the discernment of more complete descriptions of individual differences, and psychiatric and neurological changes that accompany disease. Though in its infancy, and subject to a number of methodological unknowns, we argue that the multilayer network approach may contribute to an understanding of personality as a complex system comprised of interrelated psychological and neural features. |
format | Online Article Text |
id | pubmed-7761383 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-77613832020-12-26 The Multilayer Network Approach in the Study of Personality Neuroscience Brooks, Dora Hulst, Hanneke E. de Bruin, Leon Glas, Gerrit Geurts, Jeroen J. G. Douw, Linda Brain Sci Review It has long been understood that a multitude of biological systems, from genetics, to brain networks, to psychological factors, all play a role in personality. Understanding how these systems interact with each other to form both relatively stable patterns of behaviour, cognition and emotion, but also vast individual differences and psychiatric disorders, however, requires new methodological insight. This article explores a way in which to integrate multiple levels of personality simultaneously, with particular focus on its neural and psychological constituents. It does so first by reviewing the current methodology of studies used to relate the two levels, where psychological traits, often defined with a latent variable model are used as higher-level concepts to identify the neural correlates of personality (NCPs). This is known as a top-down approach, which though useful in revealing correlations, is not able to include the fine-grained interactions that occur at both levels. As an alternative, we discuss the use of a novel complex system approach known as a multilayer network, a technique that has recently proved successful in revealing veracious interactions between networks at more than one level. The benefits of the multilayer approach to the study of personality neuroscience follow from its well-founded theoretical basis in network science. Its predictive and descriptive power may surpass that of statistical top-down and latent variable models alone, potentially allowing the discernment of more complete descriptions of individual differences, and psychiatric and neurological changes that accompany disease. Though in its infancy, and subject to a number of methodological unknowns, we argue that the multilayer network approach may contribute to an understanding of personality as a complex system comprised of interrelated psychological and neural features. MDPI 2020-11-27 /pmc/articles/PMC7761383/ /pubmed/33260895 http://dx.doi.org/10.3390/brainsci10120915 Text en © 2020 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Brooks, Dora Hulst, Hanneke E. de Bruin, Leon Glas, Gerrit Geurts, Jeroen J. G. Douw, Linda The Multilayer Network Approach in the Study of Personality Neuroscience |
title | The Multilayer Network Approach in the Study of Personality Neuroscience |
title_full | The Multilayer Network Approach in the Study of Personality Neuroscience |
title_fullStr | The Multilayer Network Approach in the Study of Personality Neuroscience |
title_full_unstemmed | The Multilayer Network Approach in the Study of Personality Neuroscience |
title_short | The Multilayer Network Approach in the Study of Personality Neuroscience |
title_sort | multilayer network approach in the study of personality neuroscience |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7761383/ https://www.ncbi.nlm.nih.gov/pubmed/33260895 http://dx.doi.org/10.3390/brainsci10120915 |
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