Topological network mechanisms of clinical response to antidepressant treatment in drug-naive major depressive disorder

Uykur A. B., YILDIZ S., VELİOĞLU H. A., Ozsimsek A., Oktem E. O., BAYRAKTAROĞLU Z., ...More

Journal of Clinical Neuroscience, vol.84, pp.82-90, 2021 (SCI-Expanded) identifier identifier identifier

  • Publication Type: Article / Article
  • Volume: 84
  • Publication Date: 2021
  • Doi Number: 10.1016/j.jocn.2020.12.001
  • Journal Name: Journal of Clinical Neuroscience
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, EMBASE, MEDLINE
  • Page Numbers: pp.82-90
  • Keywords: Major depressive disorder, Graph analysis, fMRI, Escitalopram, Duloxetine
  • Istanbul Medipol University Affiliated: Yes


Aim: There is rapidly increasing evidence that remission of MDD is associated with substantial changes in functional brain connectivity. These New data have provided a holistic view on the mechanism of antidepressants on multiple levels that goes beyond their conventional effects on neurotransmitters. Method: The study was approved by the Local Ethics Committee of Istanbul Medipol University (10840098-604.01.01-E.65129) and followed the Helsinki Declaration principles. In our study, we have evaluated the effect of six weeks of treatment with antidepressants (escitalopram and duloxetine), and tested the underlying brain functional connectivity through a Graph analysis approach in a well-defined first-episode, drug-naive, and non-comorbid population with MDD. Results: Beyond indicating that there was a significant correlation between the antidepressant response and topological characteristics of the brain, our results suggested that global rather than regional network alterations may be implicated in the antidepressant effect. Conclusion: Despite the small-sample size and non-controlled study design, our study provides important and relevant clinical data regarding the underlying mechanisms of the antidepressants on topological dynamics in the human brain.