Cargando…

A magnetic resonance imaging-based morphometric and structural covariance network study of Brazilian adolescents stratified by depression risk

OBJECTIVES: To explore differences in regional cortical morphometric structure between adolescents at risk for depression or with current depression. METHODS: We analyzed cross-sectional structural neuroimaging data from a sample of 150 Brazilian adolescents classified as low-risk (LR) (n=50) or hig...

Descripción completa

Detalles Bibliográficos
Autores principales: Rohrsetzer, Fernanda, Balardin, Joana Bisol, Picon, Felipe, Sato, João Ricardo, Battel, Lucas, Viduani, Anna, Manfro, Pedro Henrique, Yoon, Leehyun, Kohrt, Brandon A., Fisher, Helen L., Mondelli, Valeria, Swartz, Johnna R., Kieling, Christian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Associação Brasileira de Psiquiatria 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10668308/
https://www.ncbi.nlm.nih.gov/pubmed/37243979
http://dx.doi.org/10.47626/1516-4446-2023-3037
_version_ 1785139438589837312
author Rohrsetzer, Fernanda
Balardin, Joana Bisol
Picon, Felipe
Sato, João Ricardo
Battel, Lucas
Viduani, Anna
Manfro, Pedro Henrique
Yoon, Leehyun
Kohrt, Brandon A.
Fisher, Helen L.
Mondelli, Valeria
Swartz, Johnna R.
Kieling, Christian
author_facet Rohrsetzer, Fernanda
Balardin, Joana Bisol
Picon, Felipe
Sato, João Ricardo
Battel, Lucas
Viduani, Anna
Manfro, Pedro Henrique
Yoon, Leehyun
Kohrt, Brandon A.
Fisher, Helen L.
Mondelli, Valeria
Swartz, Johnna R.
Kieling, Christian
author_sort Rohrsetzer, Fernanda
collection PubMed
description OBJECTIVES: To explore differences in regional cortical morphometric structure between adolescents at risk for depression or with current depression. METHODS: We analyzed cross-sectional structural neuroimaging data from a sample of 150 Brazilian adolescents classified as low-risk (LR) (n=50) or high-risk (HR) for depression (n=50) or with current depression (n=50) through a vertex-based approach with measurements of cortical volume (CV), surface area (SA), and cortical thickness (CT). Differences between groups in subcortical volume and in the organization of networks of structural covariance were also explored. RESULTS: No significant differences in brain structure between groups were observed in whole-brain vertex-wise CV, SA, or CT. Also, no significant differences in subcortical volume were observed between risk groups. In relation to the structural covariance network, there was an indication of an increase in the hippocampus betweenness centrality index in the HR group network compared to the LR and current depression group networks. However, this result was only statistically significant when applying false discovery rate correction for nodes within the affective network. CONCLUSION: In an adolescent sample recruited using an empirically based composite risk score, no major differences in brain structure were detected according to the risk and presence of depression.
format Online
Article
Text
id pubmed-10668308
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Associação Brasileira de Psiquiatria
record_format MEDLINE/PubMed
spelling pubmed-106683082023-08-21 A magnetic resonance imaging-based morphometric and structural covariance network study of Brazilian adolescents stratified by depression risk Rohrsetzer, Fernanda Balardin, Joana Bisol Picon, Felipe Sato, João Ricardo Battel, Lucas Viduani, Anna Manfro, Pedro Henrique Yoon, Leehyun Kohrt, Brandon A. Fisher, Helen L. Mondelli, Valeria Swartz, Johnna R. Kieling, Christian Braz J Psychiatry Original Article OBJECTIVES: To explore differences in regional cortical morphometric structure between adolescents at risk for depression or with current depression. METHODS: We analyzed cross-sectional structural neuroimaging data from a sample of 150 Brazilian adolescents classified as low-risk (LR) (n=50) or high-risk (HR) for depression (n=50) or with current depression (n=50) through a vertex-based approach with measurements of cortical volume (CV), surface area (SA), and cortical thickness (CT). Differences between groups in subcortical volume and in the organization of networks of structural covariance were also explored. RESULTS: No significant differences in brain structure between groups were observed in whole-brain vertex-wise CV, SA, or CT. Also, no significant differences in subcortical volume were observed between risk groups. In relation to the structural covariance network, there was an indication of an increase in the hippocampus betweenness centrality index in the HR group network compared to the LR and current depression group networks. However, this result was only statistically significant when applying false discovery rate correction for nodes within the affective network. CONCLUSION: In an adolescent sample recruited using an empirically based composite risk score, no major differences in brain structure were detected according to the risk and presence of depression. Associação Brasileira de Psiquiatria 2023-08-21 /pmc/articles/PMC10668308/ /pubmed/37243979 http://dx.doi.org/10.47626/1516-4446-2023-3037 Text en https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Rohrsetzer, Fernanda
Balardin, Joana Bisol
Picon, Felipe
Sato, João Ricardo
Battel, Lucas
Viduani, Anna
Manfro, Pedro Henrique
Yoon, Leehyun
Kohrt, Brandon A.
Fisher, Helen L.
Mondelli, Valeria
Swartz, Johnna R.
Kieling, Christian
A magnetic resonance imaging-based morphometric and structural covariance network study of Brazilian adolescents stratified by depression risk
title A magnetic resonance imaging-based morphometric and structural covariance network study of Brazilian adolescents stratified by depression risk
title_full A magnetic resonance imaging-based morphometric and structural covariance network study of Brazilian adolescents stratified by depression risk
title_fullStr A magnetic resonance imaging-based morphometric and structural covariance network study of Brazilian adolescents stratified by depression risk
title_full_unstemmed A magnetic resonance imaging-based morphometric and structural covariance network study of Brazilian adolescents stratified by depression risk
title_short A magnetic resonance imaging-based morphometric and structural covariance network study of Brazilian adolescents stratified by depression risk
title_sort magnetic resonance imaging-based morphometric and structural covariance network study of brazilian adolescents stratified by depression risk
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10668308/
https://www.ncbi.nlm.nih.gov/pubmed/37243979
http://dx.doi.org/10.47626/1516-4446-2023-3037
work_keys_str_mv AT rohrsetzerfernanda amagneticresonanceimagingbasedmorphometricandstructuralcovariancenetworkstudyofbrazilianadolescentsstratifiedbydepressionrisk
AT balardinjoanabisol amagneticresonanceimagingbasedmorphometricandstructuralcovariancenetworkstudyofbrazilianadolescentsstratifiedbydepressionrisk
AT piconfelipe amagneticresonanceimagingbasedmorphometricandstructuralcovariancenetworkstudyofbrazilianadolescentsstratifiedbydepressionrisk
AT satojoaoricardo amagneticresonanceimagingbasedmorphometricandstructuralcovariancenetworkstudyofbrazilianadolescentsstratifiedbydepressionrisk
AT battellucas amagneticresonanceimagingbasedmorphometricandstructuralcovariancenetworkstudyofbrazilianadolescentsstratifiedbydepressionrisk
AT viduanianna amagneticresonanceimagingbasedmorphometricandstructuralcovariancenetworkstudyofbrazilianadolescentsstratifiedbydepressionrisk
AT manfropedrohenrique amagneticresonanceimagingbasedmorphometricandstructuralcovariancenetworkstudyofbrazilianadolescentsstratifiedbydepressionrisk
AT yoonleehyun amagneticresonanceimagingbasedmorphometricandstructuralcovariancenetworkstudyofbrazilianadolescentsstratifiedbydepressionrisk
AT kohrtbrandona amagneticresonanceimagingbasedmorphometricandstructuralcovariancenetworkstudyofbrazilianadolescentsstratifiedbydepressionrisk
AT fisherhelenl amagneticresonanceimagingbasedmorphometricandstructuralcovariancenetworkstudyofbrazilianadolescentsstratifiedbydepressionrisk
AT mondellivaleria amagneticresonanceimagingbasedmorphometricandstructuralcovariancenetworkstudyofbrazilianadolescentsstratifiedbydepressionrisk
AT swartzjohnnar amagneticresonanceimagingbasedmorphometricandstructuralcovariancenetworkstudyofbrazilianadolescentsstratifiedbydepressionrisk
AT kielingchristian amagneticresonanceimagingbasedmorphometricandstructuralcovariancenetworkstudyofbrazilianadolescentsstratifiedbydepressionrisk
AT rohrsetzerfernanda magneticresonanceimagingbasedmorphometricandstructuralcovariancenetworkstudyofbrazilianadolescentsstratifiedbydepressionrisk
AT balardinjoanabisol magneticresonanceimagingbasedmorphometricandstructuralcovariancenetworkstudyofbrazilianadolescentsstratifiedbydepressionrisk
AT piconfelipe magneticresonanceimagingbasedmorphometricandstructuralcovariancenetworkstudyofbrazilianadolescentsstratifiedbydepressionrisk
AT satojoaoricardo magneticresonanceimagingbasedmorphometricandstructuralcovariancenetworkstudyofbrazilianadolescentsstratifiedbydepressionrisk
AT battellucas magneticresonanceimagingbasedmorphometricandstructuralcovariancenetworkstudyofbrazilianadolescentsstratifiedbydepressionrisk
AT viduanianna magneticresonanceimagingbasedmorphometricandstructuralcovariancenetworkstudyofbrazilianadolescentsstratifiedbydepressionrisk
AT manfropedrohenrique magneticresonanceimagingbasedmorphometricandstructuralcovariancenetworkstudyofbrazilianadolescentsstratifiedbydepressionrisk
AT yoonleehyun magneticresonanceimagingbasedmorphometricandstructuralcovariancenetworkstudyofbrazilianadolescentsstratifiedbydepressionrisk
AT kohrtbrandona magneticresonanceimagingbasedmorphometricandstructuralcovariancenetworkstudyofbrazilianadolescentsstratifiedbydepressionrisk
AT fisherhelenl magneticresonanceimagingbasedmorphometricandstructuralcovariancenetworkstudyofbrazilianadolescentsstratifiedbydepressionrisk
AT mondellivaleria magneticresonanceimagingbasedmorphometricandstructuralcovariancenetworkstudyofbrazilianadolescentsstratifiedbydepressionrisk
AT swartzjohnnar magneticresonanceimagingbasedmorphometricandstructuralcovariancenetworkstudyofbrazilianadolescentsstratifiedbydepressionrisk
AT kielingchristian magneticresonanceimagingbasedmorphometricandstructuralcovariancenetworkstudyofbrazilianadolescentsstratifiedbydepressionrisk