ArticlePsychiatry investigation2021
Network Analysis of the Symptoms of Depressive Disorders Over the Course of Therapy: Changes in Centrality Measures.
Article in Psychiatry investigation, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Anxiety and depression subtypes and their psychotherapy response: A network analysis of 33,675 patients.Psychological medicine · 2026Article
- Comparative Network Structures of Hikikomori (Social Withdrawal) Symptoms in Korean and Japanese Psychiatric Patients Prescribed Antidepressants: Findings From the Research on Asian Psychotropic Patterns for Antidepressants, Phase 3.Journal of Korean medical science · 2026Article
- Do complex psychometric analyses really matter? Comparing multiple approaches using individual participant data from antidepressant trials.Psychological medicine · 2025Article
- Sex differences in the network structures of depressive symptom profiles in Asian patients with depressive disorders: findings from the Research on Asian Psychotropic Patterns for Antidepressants, Phase 3.Acta neuropsychiatrica · 2025Article
- Symptom networks of common mental disorders in public versus private healthcare settings in India.Global mental health (Cambridge, England) · 2025Article
- Centrality measures in psychological networks: A simulation study on identifying effective treatment targets.PloS one · 2024Article
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Authors and funding
11 authors.
Funding
Abstract
objectiveNetwork analysis can be used in terms of a novel psychopathological approach for depressive syndrome. We aimed to estimate the successive network structures of depressive symptoms in patients with depressive disorder using data from the Clinical Research Center for Depression study.
methodsWe enrolled 1,152 South Korean adult patients with depressive disorders who were beginning treatment for first-onset or recurrent depressive episodes. We examined the network structure of the severities of the items on the Hamilton Depression Rating Scale (HAMD) at baseline and at weeks 2, 12, 25, and 52. The node strength centrality of all the HAMD items at baseline and at week 2, 12, 25, and 52 in terms of network analysis.
resultsIn the severity networks, the anxiety (psychic) item was the most centrally situated in the initial period (baseline and week 2), while loss of weight was the most centrally situated item in the later period (weeks 25 and 52). In addition, the number of strong edges (i.e., edges representing strong correlations) increased in the late period compared to the initial period.
conclusionOur findings support a period-specific and symptom-focused therapeutic approach that can provide complementary information to the unidimensional total HAMD score.
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