ArticleEClinicalMedicine2019
Structure and Connectivity of Depressive Symptom Networks Corresponding to Early Treatment Response.
Article in EClinicalMedicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 1 of them a synthesis that pooled it.
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Who cites it
36 citing papers in PubMed, 1 synthesis or guideline pooled it, 66 citations in OpenAlex.
- Factors impacting prazosin efficacy for nightmares and insomnia in PTSD patients - a systematic review and meta-regression analysis.Progress in neuro-psychopharmacology & biological psychiatry · 2025Pooled it
- Symptom Network Dynamics during Antipsychotic Treatment in First-Episode Psychosis.Schizophrenia bulletin · 2026Trial
- Effects of ketamine on individual symptoms and symptom networks of depression in a randomised controlled trial of ketamine for treatment-resistant depression.The British journal of psychiatry : the journal of mental science · 2025Trial
- Dynamics of depression symptoms in adolescents during three types of psychotherapy and post-treatment follow-up.Journal of child psychology and psychiatry, and allied disciplines · 2025Trial
- Implications of the Network Theory for the Treatment of Mental Disorders: A Secondary Analysis of a Randomized Clinical Trial.JAMA psychiatry · 2023Trial
- Examining the Effectiveness of a Web-Based Intervention for Depressive Symptoms in Female Adolescents: Applying Social Cognitive Theory.Journal of research in health sciences · 2019Trial
- Network analysis of core symptom changes in lung cancer survivors: a longitudinal study.Journal of cancer survivorship : research and practice · 2026Article
- Changes in the network temperature of posttraumatic stress disorder symptoms among children and adolescents following earthquakes.Psychological medicine · 2026Article
- Mapping the dynamics of idiographic network models to the network theory of psychopathology.Behavior research methods · 2026Article
- A network analysis of obsessive-compulsive patients in intensive outpatient treatment.European psychiatry : the journal of the Association of European Psychiatrists · 2026Article
- Anxiety and Depressive Symptoms Before and During the COVID-19 Pandemic: A Longitudinal Network Analysis.Depression and anxiety · 2026Article
- A network analysis of how obsessive-compulsive symptoms change during exposure and response prevention treatment.Psychological medicine · 2025Article
- Anticipating depression trajectories by measuring plasticity and change through symptom network dynamics.European psychiatry : the journal of the Association of European Psychiatrists · 2025Article
- Network relationships among depressive symptoms, sleep quality, and frailty in Chinese older adults: an undirected and bayesian network analysis.BMC geriatrics · 2025Article
- Stimulant medication and symptom interrelations in children, adolescents and adults with attention-deficit/hyperactivity disorder.European child & adolescent psychiatry · 2025Article
- Symptom networks in major depressive disorder and treatment response: special focus on TRD.European psychiatry : the journal of the Association of European Psychiatrists · 2025Article
- Core and bridge symptoms in self-perceived aging, depression, and anxiety among the elderly with multiple chronic conditions in Chinese communities: a network analysis perspective.BMC public health · 2025Article
- Network temperature as a metric of stability in depression symptoms across adolescence.Nature. Mental health · 2025Article
- The symptom network of internet gaming addiction, depression, and anxiety among children and adolescents.Scientific reports · 2024Article
- Network analysis of depressive and anxiety symptoms with well-being in students during the COVID-19 pandemic: a repeated cross-sectional study.Scientific reports · 2024Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThere are suggestions that denser network connectivity (i.e., the strength of associations between individual symptoms) may be a prognostic indicator of poor treatment response in depression. We sought to examine this aspect of depressive symptom networks in the context of early responses to treatment in adolescents.
methodsRoutine psychiatric data were obtained for child/adolescent service users who underwent at least three treatment sessions in publicly funded services in England between 2011 and 2015 (N = 3017, 78% female; mean age [SD] = 14.43 years [1.75]). Depressive symptoms were assessed using the Revised Children's Anxiety and Depression Scale at presentation, and again after three treatment sessions. Treatment response was determined using the Reliable Change Index. Network analysis was used to compare the depressive symptom structure and connectivity of sub-samples who, after three treatment sessions had: 1) positively responded (n = 566), 2) not reliably changed (n = 2277), and 3) reliably deteriorated (n = 174), using matched samples to control for baseline severity.
findingsOverall connectivity (i.e., the summed total of weighted connections) was significantly weaker for the positive treatment response group at baseline (compared with unchanged and deteriorated groups), however, this group saw the largest increase in connectivity over the course of treatment. With regard to the overall importance of specific symptoms within the networks, fatigue was highest in strength for the unchanged and deteriorated groups, whereas low mood was highest in strength for the improved group.
interpretationThis study demonstrates that adolescents who respond early to treatment for depression are characterised by symptom networks that are less densely connected initially, yet increase in connectivity over the course of treatment. This may be indicative of 'positive spirals' whereby improvement in one symptom triggers improvements in other symptoms, thereby increasing symptom-symptom associations even as severity decreases.
fundingThe study was supported by the Wellcome Trust grant 204366/Z/16/Z. The funders had no role in the study design, data collection, data analysis, interpretation, or writing of the report.
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