ArticleBrain stimulation
Structural changes induced by electroconvulsive therapy are associated with clinical outcome.
Article in Brain stimulation. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
19 citing papers in PubMed, 1 synthesis or guideline pooled it, 45 citations in OpenAlex.
- Effects of electroconvulsive therapy on cortical thickness in depression: a systematic review.Acta neuropsychiatrica · 2024Pooled it
- Network localization of brain structural and functional alterations induced by electroconvulsive therapy for depression.Translational psychiatry · 2026Article
- Brain morphometry, stimulation charge, and seizure duration in electroconvulsive therapy.Molecular psychiatry · 2026Article
- Electroconvulsive therapy generates a postictal wave of spreading depolarization in mice and humans.Nature communications · 2025Article
- Alterations in gray matter volume and associated transcriptomics after electroconvulsive therapy in major depressive disorder.Psychological medicine · 2025Article
- New insights into the mechanisms of electroconvulsive therapy in treatment-resistant depression.Frontiers in psychiatry · 2025Review
- Electroconvulsive therapy and cognitive performance from the Global ECT MRI Research Collaboration.Journal of psychiatric research · 2024Article
- Electroconvulsive therapy-induced volumetric brain changes converge on a common causal circuit in depression.Molecular psychiatry · 2024Article
- Structural brain plasticity and inflammation are independently related to changes in depressive symptoms six months after an index ECT course.Psychological medicine · 2024Article
- Mechanism of Action of ECT in Depression.Current topics in behavioral neurosciences · 2024Review
- Neurobiological mechanisms of ECT and TMS treatment in depression: study protocol of a multimodal magnetic resonance investigation.BMC psychiatry · 2023Article
- Electroconvulsive therapy-induced volumetric brain changes converge on a common causal circuit in depression.Research square · 2023Article
- Clinical Improvement in Depression and Cognitive Deficit Following Electroconvulsive Therapy.Diagnostics (Basel, Switzerland) · 2023Review
- Links between electroconvulsive therapy responsive and cognitive impairment multimodal brain networks in late-life major depressive disorder.BMC medicine · 2022Article
- Parsing the Network Mechanisms of Electroconvulsive Therapy.Biological psychiatry · 2022Review
- The Neurobiological Effects of Electroconvulsive Therapy Studied Through Magnetic Resonance: What Have We Learned, and Where Do We Go?Biological psychiatry · 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
- Longitudinal resting-state network connectivity changes in electroconvulsive therapy patients compared to healthy controls.Brain stimulationArticle
Corrections and comments
- Commented on by
Authors and funding
27 authors at 13 institutions in 8 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundElectroconvulsive therapy (ECT) is the most effective treatment option for major depressive disorder, so understanding whether its clinical effect relates to structural brain changes is vital for current and future antidepressant research.
objectiveTo determine whether clinical response to ECT is related to structural volumetric changes in the brain as measured by structural magnetic resonance imaging (MRI) and, if so, which regions are related to this clinical effect. We also determine whether a similar model can be used to identify regions associated with electrode placement (unilateral versus bilateral ECT).
methodsLongitudinal MRI and clinical data (Hamilton Depression Rating Scale) was collected from 10 sites as part of the Global ECT-MRI research collaboration (GEMRIC). From 192 subjects, relative changes in 80 (sub)cortical areas were used as potential features for classifying treatment response. We used recursive feature elimination to extract relevant features, which were subsequently used to train a linear classifier. As a validation, the same was done for electrode placement. We report accuracy as well as the structural coefficients of regions included in the discriminative spatial patterns obtained.
resultsA pattern of structural changes in cortical midline, striatal and lateral prefrontal areas discriminates responders from non-responders (75% accuracy, p < 0.001) while left-sided mediotemporal changes discriminate unilateral from bilateral electrode placement (81% accuracy, p < 0.001).
conclusionsThe identification of a multivariate discriminative pattern shows that structural change is relevant for clinical response to ECT, but this pattern does not include mediotemporal regions that have been the focus of electroconvulsive therapy research so far.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.