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Identifying and simulating interventions on central depressive symptoms: A network analysis combining clinical and

Huazhen Xu1, Yun Wu2, Xiaoyin Cong1

  • 1The First Affiliated Hospital with Nanjing Medical University, 210029, Nanjing, China.

Journal of Affective Disorders
|November 5, 2025
PubMed
Abstract

Insights

Targeting specific symptoms like "feeling blue" can reduce major depressive disorder (MDD) severity. Interventions for "feelings of worthlessness" are key for clinical MDD patients, while "worrying" helps subclinical groups.

Area of Science:

  • Psychiatry and Mental Health
  • Computational Psychiatry
  • Network Analysis

Background:

  • Limited research exists on intervention strategies for major depressive disorder (MDD) symptom networks in clinical outpatients.
  • Comparisons between clinical MDD and subclinical populations are scarce, impacting generalizability of findings.

Purpose of the Study:

  • To investigate the structure of depressive symptom networks in clinical MDD outpatients and subclinical individuals.
  • To explore the impact of symptom-level changes on overall MDD severity using simulation-based analyses.
  • To identify key symptoms for targeted interventions in both clinical and subclinical populations.

Main Methods:

  • Analysis of 3428 clinically diagnosed MDD outpatients (ICD-10) and 1104 subclinical individuals (PHQ-9 cutoff ≥ 8).
  • Utilized the depression subscale of the Symptom Checklist-90 for data collection.
  • Estimated Ising networks and applied the NodeIdentifyR algorithm for simulation-based impact analysis of symptom changes.

Main Results:

  • "Feeling blue" is a central symptom in both clinical and subclinical depressive networks.
  • Alleviating "feeling blue" and "worrying" may reduce MDD severity in subclinical groups.
  • Targeting "feelings of worthlessness" and "feeling that everything is an effort" may reduce MDD severity in clinical outpatients.
  • "Feeling of being trapped" and "thoughts of ending your life" are risk symptoms for clinical and subclinical populations, respectively.

Conclusions:

  • Findings underscore the importance of symptom-specific interventions for reducing overall MDD severity.
  • Tailoring interventions based on network analysis can optimize treatment for both clinical and subclinical depression.
Keywords:
Clinical outpatientsMajor depressive disorderNetwork analysisReplicability studySimulation interventionSubclinical populations

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