ArticleNeuroImage. Clinical2020
Preliminary prediction of individual response to electroconvulsive therapy using whole-brain functional magnetic resonance imaging data.
Article in NeuroImage. Clinical, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 4 of them syntheses that pooled it.
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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.
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Who cites it
20 citing papers in PubMed, 4 syntheses or guidelines pooled it, 40 citations in OpenAlex.
- Ultrabrief pulse electroconvulsive therapy for depression: a systematic review and meta-analysis.Molecular psychiatry · 2026Pooled it
- Predicting treatment outcomes in major depressive disorder using brain magnetic resonance imaging: a meta-analysis.Molecular psychiatry · 2025Pooled it
- Magnetic resonance imaging for individual prediction of treatment response in major depressive disorder: a systematic review and meta-analysis.Translational psychiatry · 2021Pooled it
- Resting State Functional Connectivity of Brain With Electroconvulsive Therapy in Depression: Meta-Analysis to Understand Its Mechanisms.Frontiers in human neuroscience · 2020Pooled it
- Towards closed-loop precision psychiatry: Integrating MRI biomarkers for individualized care of major depressive disorder.Psychoradiology · 2025Review
- Variables associated with clinical outcomes and switching from unilateral to bitemporal electroconvulsive therapy: a retrospective study.Frontiers in psychiatry · 2025Article
- An intelligent MRI data fusion framework for optimized diagnosis of spinal tumors.Frontiers in medicine · 2025Article
- Breakthroughs and challenges for generating brain network-based biomarkers of treatment response in depression.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2024Review
- Cross-cohort replicable resting-state functional connectivity in predicting symptoms and cognition of schizophrenia.Human brain mapping · 2024Article
- Prediction of remission among patients with a major depressive disorder based on the resting-state functional connectivity of emotion regulation networks.Translational psychiatry · 2022Article
- Parsing the Network Mechanisms of Electroconvulsive Therapy.Biological psychiatry · 2022Review
- Whole-Brain Functional Connectivity Dynamics Associated With Electroconvulsive Therapy Treatment Response.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2022Article
- Current progress in neuroimaging research for the treatment of major depression with electroconvulsive therapy.World journal of psychiatry · 2022Review
- Noninvasive neuromodulation of the prefrontal cortex in mental health disorders.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2022Review
- Computational approaches to treatment response prediction in major depression using brain activity and behavioral data: A systematic review.Network neuroscience (Cambridge, Mass.) · 2022Article
- Machine Learning of Schizophrenia Detection with Structural and Functional Neuroimaging.Disease markers · 2021Article
- Altered Spontaneous Brain Activity in Women During Menopause Transition and Its Association With Cognitive Function and Serum Estradiol Level.Frontiers in endocrinology · 2021Article
- Magnetic resonance-guided focused ultrasound capsulotomy for refractory obsessive compulsive disorder and major depressive disorder: clinical and imaging results from two phase I trials.Molecular psychiatry · 2020Article
- Electroconvulsive therapy treatment responsive multimodal brain networks.Human brain mapping · 2020Article
- Editorial: Identifying Neuroimaging-Based Markers for Distinguishing Brain Disorders.Frontiers in neuroscience · 2020Article
Corrections and comments
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Authors and funding
11 authors at 4 institutions in 2 countries.
Funding
Abstract
Electroconvulsive therapy (ECT) works rapidly and has been widely used to treat depressive disorders (DEP). However, identifying biomarkers predictive of response to ECT remains a priority to individually tailor treatment and understand treatment mechanisms. This study used a connectome-based predictive modeling (CPM) approach in 122 patients with DEP to determine if pre-ECT whole-brain functional connectivity (FC) predicts depressive rating changes and remission status after ECT (47 of 122 total subjects or 38.5% of sample), and whether pre-ECT and longitudinal changes (pre/post-ECT) in regional brain network biomarkers are associated with treatment-related changes in depression ratings. Results show the networks with the best predictive performance of ECT response were negative (anti-correlated) FC networks, which predict the post-ECT depression severity (continuous measure) with a 76.23% accuracy for remission prediction. FC networks with the greatest predictive power were concentrated in the prefrontal and temporal cortices and subcortical nuclei, and include the inferior frontal (IFG), superior frontal (SFG), superior temporal (STG), inferior temporal gyri (ITG), basal ganglia (BG), and thalamus (Tha). Several of these brain regions were also identified as nodes in the FC networks that show significant change pre-/post-ECT, but these networks were not related to treatment response. This study design has limitations regarding the longitudinal design and the absence of a control group that limit the causal inference regarding mechanism of post-treatment status. Though predictive biomarkers remained below the threshold of those recommended for potential translation, the analysis methods and results demonstrate the promise and generalizability of biomarkers for advancing personalized treatment strategies.
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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.