Adolescent depression and resting-state fMRI brain networks: a scoping review of longitudinal studies

• Autor(a) principal: Macêdo,Marcos Antônio
• Data de Publicação: 2022
• Outros Autores: Sato,João Ricardo, Bressan,Rodrigo A., Pan,Pedro Mario
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Brazilian Journal of Psychiatry (São Paulo. 1999. Online)
• Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-44462022000400420
• topic: Magnetic resonance imaging; major depressive disorder; longitudinal studies; functional neuroimaging; adolescent psychiatry

The neurobiological factors associated with the emergence of major depressive disorder (MDD) in adolescence are still unclear. Previous cross-sectional studies have documented aberrant connectivity in resting-state functional magnetic resonance imaging (rs-fMRI) networks. However, whether these findings precede MDD onset has not been established. This scoping review mapped key methodological aspects and main findings of longitudinal rs-fMRI studies of MDD in adolescence. Three sets of neuroimaging methods to analyze rs-fMRI data were identified: seed-based analysis, independent component analysis, and network-based approaches. Main findings involved aberrant connectivity within and between the default mode network (DMN), the cognitive control network (CCN), and the salience network (SN). Accordingly, we utilized Menon’s (2011) triple-network model for neuropsychiatric disorders to summarize key results. Adolescent MDD was associated with hyperconnectivity within the SN and between DMN and SN, as well as hypoconnectivity within the CCN. These findings suggested that dysfunctional connectivity among the three main large-scale brain networks preceded MDD onset. However, there was high heterogeneity in neuroimaging methods and sampling procedures, which may limit comparisons between studies. Future studies should consider some level of harmonization for clinical instruments and neuroimaging methods.