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September 10, 2025Open Access

Resting-State Functional Connectivity of the Fronto-Limbic and Default Mode Networks as Predictors of Antidepressant Response in Major Depressive Disorder

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Authors

YKYoubin KangJJJeYoung JungKHKyu‐Man Han

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Overview

Resting-state fMRI identifies neural connectivity in brain networks as predictors of treatment response in MDD, suggesting new targets for interventions.

Key Points

  • Antidepressant responders showed significantly enhanced connectivity between key brain regions compared to non-responders.
  • Resting-state connectivity between emotional regulation areas and cognitive scores demonstrated a strong correlation in responders.
  • A seed-to-voxel fMRI analysis explored the functional connectivity patterns linked to treatment outcomes over 8 weeks in patients with MDD.
  • These findings may guide future therapeutic strategies for major depressive disorder by focusing on neural connectivity and cognitive flexibility.

Cite This Study

Kang et al. (2025) studied this question.

synapsesocial.com/papers/68c1d7fe54b1d3bfb60fa43dhttps://doi.org/10.1101/2025.08.26.25334436
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Beyond Depression Symptoms: The Default Mode Network as a Predictor of Antidepressant Response2025 · 1 citations
  2. 2Evaluation of Intra- and Inter-Network Connectivity within Major Brain Networks in Drug-Resistant Depression Using rs-fMRI2024 · 1 citations
  3. 3Beyond depression symptoms: the default mode network as a predictor of antidepressant response2026
  4. 4Baseline Default Mode Network Functional Connectivity as a Predictor of SSRI Treatment Response in Adolescent Major Depressive Disorder v12025
  5. 5The Role of Subgenual Resting-State Connectivity Networks in Predicting Prognosis in Major Depressive Disorder2024 · 5 citations