ArticleNature human behaviour2019
Brain regulation of emotional conflict predicts antidepressant treatment response for depression.
Article in Nature human behaviour, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07222306 (Investigating the Therapeutic Impact of Cannabinoids on Neuroinflammation and Neurobiological Underpinnings of Suicide Ideation in Veterans With PTSD), which is not on this map. Cited by 29 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.
Investigating the Therapeutic Impact of Cannabinoids on Neuroinflammation and Neurobiological Underpinnings of Suicide Ideation in Veterans With PTSD
Who cites it
29 citing papers in PubMed, 2 syntheses or guidelines pooled it, 57 citations in OpenAlex.
- Convergent functional effects of antidepressants in major depressive disorder: a neuroimaging meta-analysis.Molecular psychiatry · 2025Pooled it
- Major depressive disorder associated alterations in the effective connectivity of the face processing network: a systematic review.Translational psychiatry · 2024Pooled it
- On the value of radiomics in addition to clinical measures in emotional conflict fMRI for predicting sertraline response in major depressive disorder.Scientific reports · 2026Trial
- Neural substrates of emotional conflict with anxiety in major depressive disorder: Findings from the Establishing Moderators and biosignatures of Antidepressant Response in Clinical Care (EMBARC) randomized controlled trial.Journal of psychiatric research · 2022Trial
- Patterns of Pretreatment Reward Task Brain Activation Predict Individual Antidepressant Response: Key Results From the EMBARC Randomized Clinical Trial.Biological psychiatry · 2022Trial
- Neural predictors of treatment outcome through emotion regulation in internalizing disorders: a narrative review.Translational psychiatry · 2026Review
- Taurocholic Acid Is Associated With Disturbed Functional Connectivity in the Hippocampus of Patients With Depression.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Observational
- HMM for discovering decision-making dynamics using reinforcement learning experiments.Biostatistics (Oxford, England) · 2025Article
- JOINT MODELING FOR LEARNING DECISION-MAKING DYNAMICS IN BEHAVIORAL EXPERIMENTS.The annals of applied statistics · 2025Article
- Deep graph learning of multimodal brain networks defines treatment-predictive signatures in major depression.Molecular psychiatry · 2025Article
- Neuroimaging-based variability in subtyping biomarkers for psychiatric heterogeneity.Molecular psychiatry · 2025Article
- Association between the functional brain network and antidepressant responsiveness in patients with major depressive disorders: a resting-state EEG study.Psychological medicine · 2025Article
- Neural processes of emotional conflict detection and prediction of posttraumatic stress disorder symptom clusters in traumatic injury survivors.Psychological trauma : theory, research, practice and policy · 2025Article
- Psilocybin: From Psychiatric Pariah to Perceived Panacea.The American journal of psychiatry · 2025Review
- Article
- Towards closed-loop precision psychiatry: Integrating MRI biomarkers for individualized care of major depressive disorder.Psychoradiology · 2025Review
- Weight gained during treatment predicts 6-month body mass index in a large sample of patients with anorexia nervosa using ensemble machine learning.The International journal of eating disorders · 2024Article
- Optimizing Outcomes in Psychotherapy for Anxiety Disorders Using Smartphone-Based and Passive Sensing Features: Protocol for a Randomized Controlled Trial.JMIR research protocols · 2024Article
- Neural and Cognitive Predictors of Stimulant Treatment Efficacy in Medication-Naïve ADHD Adults: A Pilot Diffusion Tensor Imaging Study.Journal of attention disorders · 2024Article
- Altered task-related decoupling of the rostral anterior cingulate cortex in depression.NeuroImage. Clinical · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
15 authors at 6 institutions in 1 country.
Funding
Abstract
The efficacy of antidepressant treatment for depression is controversial due to the only modest superiority demonstrated over placebo. However, neurobiological heterogeneity within depression may limit overall antidepressant efficacy. We sought to identify a neurobiological phenotype responsive to antidepressant treatment by testing pretreatment brain activation during response to, and regulation of, emotional conflict as a moderator of the clinical benefit of the antidepressant sertraline versus placebo. Using neuroimaging data from a large randomized controlled trial, we found widespread moderation of clinical benefits by brain activity during regulation of emotional conflict, in which greater downregulation of conflict-responsive regions predicted better sertraline outcomes. Treatment-predictive machine learning using brain metrics outperformed a model trained on clinical and demographic variables. Our findings demonstrate that antidepressant response is predicted by brain activity underlying a key self-regulatory emotional capacity. Leveraging brain-based measures in psychiatry will forge a path toward better treatment personalization, refined mechanistic insights and improved outcomes.
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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.