Effect of SSRIs on resting-state functional brain networks in adolescents with major depressive disorder

Research output: Contribution to journalArticlepeer-review

Abstract

Investigation of brain changes in functional connectivity and functional network topology from receiving 8-week selective serotonin reuptake inhibitor (SSRI) treatments is conducted in 12 unmedicated adolescents with major depressive disorder (MDD) by using wavelet-filtered resting-state functional magnetic resonance imaging (fMRI). Changes are observed in frontal-limbic, temporal, and default mode networks. In particular, topological analysis shows, at the global scale and in the 0.12–0.25 Hz band, that the normalized clustering coefficient and smallworldness of brain networks decreased after treatment. Regional changes in clustering coefficient and efficiency were observed in the bilateral caudal middle frontal gyrus, rostral middle frontal gyrus, superior temporal gyrus, left pars triangularis, putamen, and right superior frontal gyrus. Furthermore, changes of nodal centrality and changes of connectivity associated with these frontal and temporal regions confirm the global topological alternations. Moreover, frequency dependence is observed from FDR-controlled subnetworks for the limbic-cortical connectivity change. In the high-frequency band, the altered connections involve mostly frontal regions, while the altered connections in the low-frequency bands spread to parietal and temporal areas. Due to the limitation of small sample sizes and lack of placebo control, these preliminary findings require confirmation with future work using larger samples. Confirmation of biomarkers associated with treatment could suggest potential avenues for clinical applications such as tracking treatment response and neurobiologically informed treatment optimization.

Original languageEnglish (US)
Article number4322
JournalJournal of Clinical Medicine
Volume10
Issue number19
DOIs
StatePublished - Sep 23 2021

Bibliographical note

Funding Information:
Funding: This study was funded in part by the National Institute of Mental Health (K23MH090421), the National Alliance for Research on Schizophrenia and Depression, the University of Minnesota Graduate School, the Minnesota Medical Foundation, the Biotechnology Research Center (P41 RR008079 to the Center for Magnetic Resonance Research), University of Minnesota, the Deborah E. Powell Center for Women’s Health Seed Grant, University of Minnesota, National Institutes of Health grants (P41 EB015894, P41 EB027061, P30 NS076408), and the Translational Research Fellowship by the Institute for Translational Research in Children’s Mental Health, University of Minnesota.

Funding Information:
This study was funded in part by the National Institute of Mental Health (K23MH090421), the National Alliance for Research on Schizophrenia and Depression, the University of Minnesota Graduate School, the Minnesota Medical Foundation, the Biotechnology Research Center (P41 RR008079 to the Center for Magnetic Resonance Research), University of Minnesota, the Deborah E. Powell Center for Women?s Health Seed Grant, University of Minnesota, National Institutes of Health grants (P41 EB015894, P41 EB027061, P30 NS076408), and the Translational Research Fellowship by the Institute for Translational Research in Children?s Mental Health, University of Minnesota.

Publisher Copyright:
© 2021 by the authors. Licensee MDPI, Basel, Switzerland.

Keywords

  • Frequency-dependent connectivity
  • Functional magnetic resonance imaging (fMRI)
  • Major depressive disorder (MDD)
  • Network topology
  • Resting-state functional connectivity (RSFC)

PubMed: MeSH publication types

  • Journal Article

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