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Small-world properties of brain morphological characteristics in Anorexia Nervosa
Cortical thickness and gyrification abnormalities in anorexia nervosa (AN) have been recently described, but no attempt has been made to explore their organizational patterns to characterize the neurobiology of the disorder in the different stages of its course. The aim of this study was to explore...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6508864/ https://www.ncbi.nlm.nih.gov/pubmed/31071118 http://dx.doi.org/10.1371/journal.pone.0216154 |
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author | Collantoni, Enrico Meneguzzo, Paolo Tenconi, Elena Manara, Renzo Favaro, Angela |
author_facet | Collantoni, Enrico Meneguzzo, Paolo Tenconi, Elena Manara, Renzo Favaro, Angela |
author_sort | Collantoni, Enrico |
collection | PubMed |
description | Cortical thickness and gyrification abnormalities in anorexia nervosa (AN) have been recently described, but no attempt has been made to explore their organizational patterns to characterize the neurobiology of the disorder in the different stages of its course. The aim of this study was to explore cortical thickness and gyrification patterns by means of graph theory tools in 38 patients with AN, 20 fully recovered patients, and 38 healthy women (HC). All participants underwent high-resolution magnetic resonance imaging. Connectome properties were compared between: 1) AN patients and HC, 2) fully recovered patients and HC, 3) patients with a full remission at a 3-year follow-up assessment and patients who had not recovered. Small-worldness was greater in patients with acute AN in comparison to HC in both cortical thickness and gyrification networks. In the cortical thickness network, patients with AN also showed increased Local Efficiency, Modularity and Clustering coefficients, whereas integration measures were lower in the same group. Patients with a poor outcome showed higher segregation measures and lower small-worldness in the gyrification network, but no differences emerged for the cortical thickness network. For both cortical thickness and gyrification patterns, regional analyses revealed differences between patients with different outcomes. Different patterns between cortical thickness and gyrification networks are probably due to their peculiar developmental trajectories and sensitivity to environmental influences. The role of gyrification network alterations in predicting the outcome suggests a role of early maturational processes in the prognosis of AN. |
format | Online Article Text |
id | pubmed-6508864 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-65088642019-05-23 Small-world properties of brain morphological characteristics in Anorexia Nervosa Collantoni, Enrico Meneguzzo, Paolo Tenconi, Elena Manara, Renzo Favaro, Angela PLoS One Research Article Cortical thickness and gyrification abnormalities in anorexia nervosa (AN) have been recently described, but no attempt has been made to explore their organizational patterns to characterize the neurobiology of the disorder in the different stages of its course. The aim of this study was to explore cortical thickness and gyrification patterns by means of graph theory tools in 38 patients with AN, 20 fully recovered patients, and 38 healthy women (HC). All participants underwent high-resolution magnetic resonance imaging. Connectome properties were compared between: 1) AN patients and HC, 2) fully recovered patients and HC, 3) patients with a full remission at a 3-year follow-up assessment and patients who had not recovered. Small-worldness was greater in patients with acute AN in comparison to HC in both cortical thickness and gyrification networks. In the cortical thickness network, patients with AN also showed increased Local Efficiency, Modularity and Clustering coefficients, whereas integration measures were lower in the same group. Patients with a poor outcome showed higher segregation measures and lower small-worldness in the gyrification network, but no differences emerged for the cortical thickness network. For both cortical thickness and gyrification patterns, regional analyses revealed differences between patients with different outcomes. Different patterns between cortical thickness and gyrification networks are probably due to their peculiar developmental trajectories and sensitivity to environmental influences. The role of gyrification network alterations in predicting the outcome suggests a role of early maturational processes in the prognosis of AN. Public Library of Science 2019-05-09 /pmc/articles/PMC6508864/ /pubmed/31071118 http://dx.doi.org/10.1371/journal.pone.0216154 Text en © 2019 Collantoni et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Collantoni, Enrico Meneguzzo, Paolo Tenconi, Elena Manara, Renzo Favaro, Angela Small-world properties of brain morphological characteristics in Anorexia Nervosa |
title | Small-world properties of brain morphological characteristics in Anorexia Nervosa |
title_full | Small-world properties of brain morphological characteristics in Anorexia Nervosa |
title_fullStr | Small-world properties of brain morphological characteristics in Anorexia Nervosa |
title_full_unstemmed | Small-world properties of brain morphological characteristics in Anorexia Nervosa |
title_short | Small-world properties of brain morphological characteristics in Anorexia Nervosa |
title_sort | small-world properties of brain morphological characteristics in anorexia nervosa |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6508864/ https://www.ncbi.nlm.nih.gov/pubmed/31071118 http://dx.doi.org/10.1371/journal.pone.0216154 |
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