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(Reference retrieved automatically from SciELO through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

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

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Fernanda Rohrsetzer ; Joana Bisol Balardin ; Felipe Picon ; João Ricardo Sato [4] ; Lucas Battel ; Anna Viduani ; Pedro Henrique Manfro ; Leehyun Yoon [8] ; Brandon A. Kohrt [9] ; Helen L. Fisher ; Valeria Mondelli ; Johnna R. Swartz [12] ; Christian Kieling
Total Authors: 13
Document type: Journal article
Source: Revista Brasileira de Psiquiatria; v. 45, n. 4, p. 318-326, 2023-08-28.
Abstract

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. (AU)

FAPESP's process: 18/04654-9 - Time series, wavelets and high dimensional data
Grantee:Pedro Alberto Morettin
Support Opportunities: Research Projects - Thematic Grants
FAPESP's process: 18/21934-5 - Network statistics: theory, methods, and applications
Grantee:André Fujita
Support Opportunities: Research Projects - Thematic Grants
FAPESP's process: 21/05332-8 - Brazilian high-risk cohort for psychiatric disorders: 10 years follow-up
Grantee:Rodrigo Affonseca Bressan
Support Opportunities: Research Projects - Thematic Grants