ArticleNeuropsychopharmacology : official publication of the American College of Neuropsychopharmacology2015
Resting-state connectivity predictors of response to psychotherapy in major depressive disorder.
Article in Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05282277 (Examining the Effects of Estradiol on Neural and Molecular Response to Rewards in Perimenopausal-Onset Anhedonia and Psychosis), which is not on this map. Cited by 62 papers, 5 of them syntheses that pooled it.
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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.
Examining the Effects of Estradiol on Neural and Molecular Response to Rewards in Perimenopausal-Onset Anhedonia and Psychosis
Who cites it
62 citing papers in PubMed, 5 syntheses or guidelines pooled it, 136 citations in OpenAlex.
- Predicting the treatment outcomes of major depressive disorder interventions with baseline resting-state functional connectivity: a meta-analysis.BMC psychiatry · 2025Pooled it
- The research progress on effective connectivity in adolescent depression based on resting-state fMRI.Frontiers in neurology · 2025Pooled it
- Predicting response to psychiatric surgery: a systematic review of neuroimaging findings.Journal of psychiatry & neuroscience : JPN · 2020Pooled it
- Functional brain alterations in acute sleep deprivation: An activation likelihood estimation meta-analysis.Sleep medicine reviews · 2019Pooled it
- Pooled it
- Neural and behavioral markers of inhibitory control predict symptom improvement during internet-delivered cognitive behavioral therapy for depression.Translational psychiatry · 2024Trial
- Individualized Functional Brain System Topologies and Major Depression: Relationships Among Patch Sizes and Clinical Profiles and Behavior.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2024Trial
- Dynamic Resting-State Network Biomarkers of Antidepressant Treatment Response.Biological psychiatry · 2022Trial
- Latent Profiles of Comorbid Depression as Predictors of PTSD Treatment Outcome.Behavior therapy · 2021Trial
- Trial
- Pretreatment brain connectivity during positive emotion upregulation predicts decreased anhedonia following behavioral activation therapy for depression.Journal of affective disorders · 2019Trial
- Intrinsic functional connectivity predicts remission on antidepressants: a randomized controlled trial to identify clinically applicable imaging biomarkers.Translational psychiatry · 2018Trial
- From the neurobiological basis of comorbid alcohol dependence and depression to psychological treatment strategies: study protocol of a randomized controlled trial.BMC psychiatry · 2017Trial
- Reduced alpha power predicts recurrence risk in major depressive disorder.Neuroimage. Reports · 2026Article
- Developing Clinically Interpretable Neuroimaging Biotypes in Psychiatry.Biological psychiatry · 2026Review
- Multi-Site Transfer Classification of Major Depressive Disorder: An fMRI Study in 3335 Subjects.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Resting-State Functional Connectivity Changes Associated With Post-Traumatic Stress and Anxiety Symptoms in North Korean Refugees.Psychiatry investigation · 2026Article
- Functional connectivity gradients of the insula in major depressive disorder.Frontiers in psychiatry · 2026Article
- Editorial: Neuroimaging in psychiatry 2023: mood disorders.Frontiers in psychiatry · 2025Article
- Initial evidence for neural correlates following a therapeutic intervention: altered resting state functional connectivity in the default mode network following attention training technique.Frontiers in psychiatry · 2025Article
2 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
11 authors at 4 institutions in 1 country.
Funding
Abstract
Despite the heterogeneous symptom presentation and complex etiology of major depressive disorder (MDD), functional neuroimaging studies have shown with remarkable consistency that dysfunction in mesocorticolimbic brain systems are central to the disorder. Relatively less research has focused on the identification of biological markers of response to antidepressant treatment that would serve to improve the personalized delivery of empirically supported antidepressant interventions. In the present study, we investigated whether resting-state functional brain connectivity (rs-fcMRI) predicted response to Behavioral Activation Treatment for Depression, an empirically validated psychotherapy modality designed to increase engagement with rewarding stimuli and reduce avoidance behaviors. Twenty-three unmedicated outpatients with MDD and 20 matched nondepressed controls completed rs-fcMRI scans after which the MDD group received an average of 12 sessions of psychotherapy. The mean change in Beck Depression Inventory-II scores after psychotherapy was 12.04 points, a clinically meaningful response. Resting-state neuroimaging data were analyzed with a seed-based approach to investigate functional connectivity with four canonical resting-state networks: the default mode network, the dorsal attention network, the executive control network, and the salience network. At baseline, the MDD group was characterized by relative hyperconnectivity of multiple regions with precuneus, anterior insula, dorsal anterior cingulate cortex (dACC), and left dorsolateral prefrontal cortex seeds and by relative hypoconnectivity with intraparietal sulcus, anterior insula, and dACC seeds. Additionally, connectivity of the precuneus with the left middle temporal gyrus and connectivity of the dACC with the parahippocampal gyrus predicted the magnitude of pretreatment MDD symptoms. Hierarchical linear modeling revealed that response to psychotherapy in the MDD group was predicted by pretreatment connectivity of the right insula with the right middle temporal gyrus and the left intraparietal sulcus with the orbital frontal cortex. These results add to the nascent body of literature investigating pretreatment rs-fcMRI predictors of antidepressant treatment response and is the first study to examine rs-fcMRI predictors of response to psychotherapy.
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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.