An MRI-based morphometric and structural covariance network study of Brazilian adolescents stratified by depression risk
Revista brasileira de psiquiatria (Sao Paulo, Brazil : 1999)
Adolescent; depression; methods; neuroimaging/structural; risk factors
OBJECTIVE: 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 (n=50) or high-risk for depression (n=50) or with current depression (n=50) through a vertex-based approach with measurements of cortical volume, surface area and thickness. Differences between groups in subcortical volumes 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 cortical volume, surface area or thickness. 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 high-risk group network compared to the low-risk 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.
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.; and Kieling, Christian, "An MRI-based morphometric and structural covariance network study of Brazilian adolescents stratified by depression risk" (2023). GW Authored Works. Paper 2849.
Psychiatry and Behavioral Sciences