Adolescent depression and resting-state fMRI brain networks: a scoping review of longitudinal studies
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 find...
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| Format: | Article |
| Language: | English |
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Associação Brasileira de Psiquiatria (ABP)
2022-07-01
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| Series: | Brazilian Journal of Psychiatry |
| Subjects: | |
| Online Access: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-44462022005007201&tlng=en |
| _version_ | 1811218480198844416 |
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| author | Marcos Antônio Macêdo João Ricardo Sato Rodrigo A. Bressan Pedro Mario Pan |
| author_facet | Marcos Antônio Macêdo João Ricardo Sato Rodrigo A. Bressan Pedro Mario Pan |
| author_sort | Marcos Antônio Macêdo |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-12T07:10:41Z |
| format | Article |
| id | doaj.art-8867d53b4f7b4200bfae8eac25e772d1 |
| institution | Directory Open Access Journal |
| issn | 1809-452X |
| language | English |
| last_indexed | 2024-04-12T07:10:41Z |
| publishDate | 2022-07-01 |
| publisher | Associação Brasileira de Psiquiatria (ABP) |
| record_format | Article |
| series | Brazilian Journal of Psychiatry |
| spelling | doaj.art-8867d53b4f7b4200bfae8eac25e772d12022-12-22T03:42:39ZengAssociação Brasileira de Psiquiatria (ABP)Brazilian Journal of Psychiatry1809-452X2022-07-0110.47626/1516-4446-2021-2032Adolescent depression and resting-state fMRI brain networks: a scoping review of longitudinal studiesMarcos Antônio Macêdohttps://orcid.org/0000-0003-4558-3687João Ricardo SatoRodrigo A. BressanPedro Mario Panhttps://orcid.org/0000-0002-1943-6520The 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.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-44462022005007201&tlng=enMagnetic resonance imagingmajor depressive disorderlongitudinal studiesfunctional neuroimagingadolescent psychiatry |
| spellingShingle | Marcos Antônio Macêdo João Ricardo Sato Rodrigo A. Bressan Pedro Mario Pan Adolescent depression and resting-state fMRI brain networks: a scoping review of longitudinal studies Brazilian Journal of Psychiatry Magnetic resonance imaging major depressive disorder longitudinal studies functional neuroimaging adolescent psychiatry |
| title | Adolescent depression and resting-state fMRI brain networks: a scoping review of longitudinal studies |
| title_full | Adolescent depression and resting-state fMRI brain networks: a scoping review of longitudinal studies |
| title_fullStr | Adolescent depression and resting-state fMRI brain networks: a scoping review of longitudinal studies |
| title_full_unstemmed | Adolescent depression and resting-state fMRI brain networks: a scoping review of longitudinal studies |
| title_short | Adolescent depression and resting-state fMRI brain networks: a scoping review of longitudinal studies |
| title_sort | adolescent depression and resting state fmri brain networks a scoping review of longitudinal studies |
| topic | Magnetic resonance imaging major depressive disorder longitudinal studies functional neuroimaging adolescent psychiatry |
| url | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-44462022005007201&tlng=en |
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