Trial reportBiological psychiatry2022
Dynamic Resting-State Network Biomarkers of Antidepressant Treatment Response.
Trial report in Biological psychiatry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
What it found
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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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
17 citing papers in PubMed, 41 citations in OpenAlex.
- From rest to focus: pharmacological modulation of the relationship between resting state dorsal attention network dynamics and task-based brain activation.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026Trial
- Graph analysis uncovers an opposing impact of methylphenidate on connectivity patterns within default mode network sub-divisions.Behavioral and brain functions : BBF · 2024Trial
- Developing Clinically Interpretable Neuroimaging Biotypes in Psychiatry.Biological psychiatry · 2026Review
- Unveiling state-specific neural dynamics in migraine with and without depressive symptom: a hidden Markov model and interpretable machine learning approach.The journal of headache and pain · 2026Article
- Dynamic coactivation patterns during repetitive negative thinking: A cross-sectional fMRI study.Psychological medicine · 2026Article
- Unraveling spatiotemporal dynamics in transdiagnosis subtypes of major depressive disorder and bipolar disorder: insights from co-activation patterns and treatment response.Molecular psychiatry · 2026Article
- Executive Dysfunction and Depression Risk in Adolescence: Functional-MRI Analysis of Transient Network States During a Working Memory Task.Clinical psychological science : a journal of the Association for Psychological Science · 2026Article
- Review of Dynamic Resting-State Methods in Neuroimaging: Applications to Depression and Rumination.Human brain mapping · 2025Review
- Dynamic neural network modulation associated with rumination in major depressive disorder: a prospective observational comparative analysis of cognitive behavioral therapy and pharmacotherapy.Translational psychiatry · 2025Observational
- Study protocol TransTAM: Transdiagnostic research into emotional disorders and cognitive-behavioral therapy of the adaptive mind.BMC psychiatry · 2024Article
- Major Problems in Clinical Psychological Science and How to Address them. Introducing a Multimodal Dynamical Network Approach.Cognitive therapy and research · 2024Article
- Dimensional and Categorical Solutions to Parsing Depression Heterogeneity in a Large Single-Site Sample.Biological psychiatry · 2024Article
- The selfish network: how the brain preserves behavioral function through shifts in neuronal network state.Trends in neurosciences · 2024Review
- Sex-specific resting state brain network dynamics in patients with major depressive disorder.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2024Article
- Childhood Trauma, Emotional Awareness, and Neural Correlates of Long-Term Nicotine Smoking.JAMA network open · 2024Article
- Trait- and state-like co-activation pattern dynamics in current and remitted major depressive disorder.Journal of affective disorders · 2023Article
- AI-assisted prediction of differential response to antidepressant classes using electronic health records.NPJ digital medicine · 2023Article
Corrections and comments
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Authors and funding
14 authors at 8 institutions in 1 country.
Funding
Abstract
backgroundDelivery of effective antidepressant treatment has been hampered by a lack of objective tools for predicting or monitoring treatment response. This study aimed to address this gap by testing novel dynamic resting-state functional network markers of antidepressant response.
methodsThe Establishing Moderators and Biosignatures of Antidepressant Response in Clinical Care (EMBARC) study randomized adults with major depressive disorder to 8 weeks of either sertraline or placebo, and depression severity was evaluated longitudinally. Participants completed resting-state neuroimaging pretreatment and again after 1 week of treatment (n = 259 eligible for analyses). Coactivation pattern analyses identified recurrent whole-brain states of spatial coactivation, and computed time spent in each state for each participant was the main dynamic measure. Multilevel modeling estimated the associations between pretreatment network dynamics and sertraline response and between early (pretreatment to 1 week) changes in network dynamics and sertraline response.
resultsDynamic network markers of early sertraline response included increased time in network states consistent with canonical default and salience networks, together with decreased time in network states characterized by coactivation of cingulate and ventral limbic or temporal regions. The effect of sertraline on depression recovery was mediated by these dynamic network changes. In contrast, early changes in dynamic functioning of corticolimbic and frontoinsular-default networks were related to patterns of symptom recovery common across treatment groups.
conclusionsDynamic resting-state markers of early antidepressant response or general recovery may assist development of clinical tools for monitoring and predicting effective intervention.
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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.