ReviewBiological psychiatry2022
The Neurobiological Effects of Electroconvulsive Therapy Studied Through Magnetic Resonance: What Have We Learned, and Where Do We Go?
Review in Biological psychiatry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 2 of them syntheses 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
45 citing papers in PubMed, 2 syntheses or guidelines pooled it, 97 citations in OpenAlex.
- Epigenetic and blood markers associated with response to electroconvulsive therapy in patients with depressive disorders.Translational psychiatry · 2025Pooled it
- Effects of electroconvulsive therapy on cortical thickness in depression: a systematic review.Acta neuropsychiatrica · 2024Pooled it
- Electroconvulsive therapy induces rapid microstructural and macrostructural changes, but microstructural changes are longer-lasting.European archives of psychiatry and clinical neuroscience · 2026Trial
- Treatment-related topological reorganization of the structural connectome in major depressive disorder with suicidal ideation.BMC psychiatry · 2026Article
- Electroconvulsive therapy: improved understanding of long-term risks and benefits from advances in administrative health data.The British journal of psychiatry : the journal of mental science · 2026Review
- Evaluation of the Electroconvulsive Therapy's Impact on Retinal Structures in First-Episode Psychosis Patients Using Optical Coherence Tomography.Schizophrenia bulletin · 2026Article
- Clinical and biological markers of electroconvulsive therapy effectiveness: a narrative review.Translational psychiatry · 2026Review
- Decreased hippocampal neurogenesis and post-stroke depression.Frontiers in psychiatry · 2026Review
- Computational Models of High-Definition Electroconvulsive Therapy for Focal or Multitargeting Treatment.The journal of ECT · 2025Article
- Increased basal ganglia volume in older adults with tinnitus.Scientific reports · 2025Article
- Review
- Effects of electroconvulsive therapy on hippocampal longitudinal axis and its association with cognitive side effects.Communications medicine · 2025Article
- Response to electroconvulsive therapy is associated with a more diverse oral microbiome- a prospective longitudinal cohort pilot study.European archives of psychiatry and clinical neuroscience · 2025Article
- Article
- Neurobiological Mechanisms of Electroconvulsive Therapy: Molecular Perspectives of Brain Stimulation.International journal of molecular sciences · 2025Review
- Electroconvulsive Therapy for Malignant Catatonia: A Case Report in the Intensive Care Unit.Cureus · 2025Article
- MRI textural plasticity in limbic gray matter associated with clinical response to electroconvulsive therapy for psychosis.Molecular psychiatry · 2025Article
- Age-Dependent Efficacy of Electroconvulsive Therapy in Depression: A Longitudinal Study of Symptom Trajectories and Treatment Predictions.Brain and behavior · 2025Article
- Structural neural plasticity evoked by rapid-acting antidepressant interventions.Nature reviews. Neuroscience · 2025Review
- Knowledge, attitudes, and experiences of ECT among psychiatric trainees and early career psychiatrists in Iran.Frontiers in psychiatry · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 4 institutions in 3 countries.
Funding
Abstract
Electroconvulsive therapy (ECT) is an established treatment choice for severe, treatment-resistant depression, yet its mechanisms of action remain elusive. Magnetic resonance imaging (MRI) of the human brain before and after treatment has been crucial to aid our comprehension of the ECT neurobiological effects. However, to date, a majority of MRI studies have been underpowered and have used heterogeneous patient samples as well as different methodological approaches, altogether causing mixed results and poor clinical translation. Hence, an association between MRI markers and therapeutic response remains to be established. Recently, the availability of large datasets through a global collaboration has provided the statistical power needed to characterize whole-brain structural and functional brain changes after ECT. In addition, MRI technological developments allow new aspects of brain function and structure to be investigated. Finally, more recent studies have also investigated immediate and long-term effects of ECT, which may aid in the separation of the therapeutically relevant effects from epiphenomena. The goal of this review is to outline MRI studies (T1, diffusion-weighted imaging, proton magnetic resonance spectroscopy) of ECT in depression to advance our understanding of the ECT neurobiological effects. Based on the reviewed literature, we suggest a model whereby the neurobiological effects can be understood within a framework of disruption, neuroplasticity, and rewiring of neural circuits. An improved characterization of the neurobiological effects of ECT may increase our understanding of ECT's therapeutic effects, ultimately leading to improved patient care.
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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.