ArticleThe journal of ECT2020
Depressive Symptom Dimensions in Treatment-Resistant Major Depression and Their Modulation With Electroconvulsive Therapy.
Article in The journal of ECT, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 31 citations in OpenAlex.
- A comparison between rTMS and antidepressant medication on depressive symptom clusters in treatment-resistant depression.European archives of psychiatry and clinical neuroscience · 2025Trial
- Deep brain stimulation improves symptoms across all dimensions in treatment-resistant depression.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2025Article
- Electroconvulsive therapy modulates the interplay between depressive symptoms in difficult-to-treat depression: A longitudinal network analysis.European psychiatry : the journal of the Association of European Psychiatrists · 2025Article
- Functional connectivity changes between amygdala and prefrontal cortex after ECT are associated with improvement in distinct depressive symptoms.European archives of psychiatry and clinical neuroscience · 2023Article
- Dimensions of the Hamilton Depression Rating Scale Correlate with Impulsivity and Personality Traits among Youth Patients with Depression.Journal of clinical medicine · 2023Article
- Differential symptom cluster responses to repetitive transcranial magnetic stimulation treatment in depression.EClinicalMedicine · 2023Article
- Anterior default mode network and posterior insular connectivity is predictive of depressive symptom reduction following serial ketamine infusion.Psychological medicine · 2022Article
- Parsing the Network Mechanisms of Electroconvulsive Therapy.Biological psychiatry · 2022Review
- Circuit-Targeted Neuromodulation for Anhedonia.Current topics in behavioral neurosciences · 2022Review
- Fronto-medial electrode placement for electroconvulsive treatment of depression.Frontiers in neuroscience · 2022Article
- Accounting for symptom heterogeneity can improve neuroimaging models of antidepressant response after electroconvulsive therapy.Human brain mapping · 2021Article
Corrections and comments
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Authors and funding
12 authors at 6 institutions in 3 countries.
Funding
Abstract
objectiveSymptom heterogeneity in major depressive disorder obscures diagnostic and treatment-responsive biomarker identification. Whether symptom constellations are differentially changed by electroconvulsive therapy (ECT) remains unknown. We investigate the clustering of depressive symptoms over the ECT index and whether ECT differentially influences symptom clusters.
methodsThe 17-item Hamilton Depression Rating Scale (HDRS-17) was collected from 111 patients with current depressive episode before and after ECT from 4 independent participating sites of the Global ECT-MRI Research Collaboration. Exploratory factor analysis of HDRS-17 items pre- and post-ECT treatment identified depressive symptom dimensions before and after ECT. A 2-way analysis of covariance was used to determine whether baseline symptom clusters were differentially changed by ECT between treatment remitters (defined as patients with posttreatment HDRS-17 total score ≤8) and nonremitters while controlling for pulse width, titration method, concurrent antidepressant treatment, use of benzodiazepine, and demographic variables.
resultsA 3-factor solution grouped pretreatment HDRS-17 items into core mood/anhedonia, somatic, and insomnia dimensions. A 2-factor solution best described the symptoms at posttreatment despite poorer separation of items. Among remitters, core mood/anhedonia symptoms were significantly more reduced than somatic and insomnia dimensions. No differences in symptom dimension trajectories were observed among nonremitting patients.
conclusionsElectroconvulsive therapy targets the underlying source of depressive symptomatology and may confer differential degrees of improvement in certain core depressive symptoms. Our findings of differential trajectories of symptom clusters over the ECT index might help related predictive biomarker studies to refine their approaches by identifying predictors of change along each latent symptom dimension.
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