ArticleFrontiers in psychiatry2020
Predicting Treatment Outcome in Major Depressive Disorder Using Serotonin 4 Receptor PET Brain Imaging, Functional MRI, Cognitive-, EEG-Based, and Peripheral Biomarkers: A NeuroPharm Open Label Clinical Trial Protocol.
Article in Frontiers in psychiatry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02869035 (Predicting Treatment Outcome in Major Depressive Disorder), which is not on this map. Cited by 25 papers, 2 of them syntheses that pooled it.
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.
Predicting Treatment Outcome in Major Depressive Disorder
Who cites it
25 citing papers in PubMed, 2 syntheses or guidelines pooled it, 65 citations in OpenAlex.
- Neuroimaging Insights into the Public Health Burden of Neuropsychiatric Disorders: A Systematic Review of Electroencephalography-Based Cognitive Biomarkers.Medicina (Kaunas, Lithuania) · 2025Pooled it
- Hyperconnectivity between the posterior cingulate and middle frontal and temporal gyrus in depression: Based on functional connectivity meta-analyses.Brain imaging and behavior · 2022Pooled it
- Evaluating cognitive disturbances as treatment target and predictor of antidepressant action in major depressive disorder: A NeuroPharm study.Translational psychiatry · 2022Trial
- Synaptic Plasticity-Intrinsic Excitability and Antidepressant Discovery.Biomedicines · 2026Review
- Serotonin and working memory in mood disorder and healthy states: multi-cohort positron emission tomography study.BJPsych open · 2026Article
- Hormonal contraceptives and EEG biomarkers for antidepressant treatment response in women.Communications medicine · 2026Article
- Novel, small molecules targeting the 5-HTbioRxiv : the preprint server for biology · 2025Article
- Advances in 2D materials for wearable biomonitoring.Materials science & engineering. R, Reports : a review journal · 2025Article
- Whole-brain turbulent dynamics predict responsiveness to pharmacological treatment in major depressive disorder.Molecular psychiatry · 2025Article
- PET-MRI Applications and Future Prospects in Psychiatry.Journal of magnetic resonance imaging : JMRI · 2025Review
- Sex hormones and serotonin 4 receptor brain binding in men with and without major depressive disorder.Neuroscience applied · 2025Article
- No association between peripheral serotonin-gene-related DNA methylation and brain serotonin neurotransmission in the healthy and depressed state.Clinical epigenetics · 2024Article
- Psychoneuroendocrine profiles of unmedicated men with major depressive disorder and associations to treatment effects and sexual side-effects.Neuroscience applied · 2024Article
- No association between serotonin 4 receptor brain binding and personality trait Neuroticism - A positron emission tomography study in depressed patients and healthy individuals.Neuroscience applied · 2024Article
- Stress Hormone Dynamics Are Coupled to Brain Serotonin 4 Receptor Availability in Unmedicated Patients With Major Depressive Disorder: A NeuroPharm Study.The international journal of neuropsychopharmacology · 2023Article
- Sexual health and serotonin 4 receptor brain binding in unmedicated patients with depression-a NeuroPharm study.Translational psychiatry · 2023Article
- Association between brain serotonin 4 receptor binding and reactivity to emotional faces in depressed and healthy individuals.Translational psychiatry · 2023Article
- AI-assisted prediction of differential response to antidepressant classes using electronic health records.NPJ digital medicine · 2023Article
- Serotonin 4 Receptor Brain Binding in Major Depressive Disorder and Association With Memory Dysfunction.JAMA psychiatry · 2023Article
- Deep phenotyping towards precision psychiatry of first-episode depression - the Brain Drugs-Depression cohort.BMC psychiatry · 2023Article
Corrections and comments
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Authors and funding
13 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundBetween 30 and 50% of patients with major depressive disorder (MDD) do not respond sufficiently to antidepressant regimens. The conventional pharmacological treatments predominantly target serotonergic brain signaling but better tools to predict treatment response and identify relevant subgroups of MDD are needed to support individualized and mechanistically targeted treatment strategies. The aim of this study is to investigate antidepressant-free patients with MDD using neuroimaging, electrophysiological, molecular, cognitive, and clinical examinations and evaluate their ability to predict clinical response to SSRI treatment as individual or combined predictors.
methodsWe will include 100 untreated patients with moderate to severe depression (>17 on the Hamilton Depression Rating Scale 17) in a non-randomized open clinical trial. We will collect data from serotonin 4 receptor positron emission tomography (PET) brain scans, functional magnetic resonance imaging (fMRI), electroencephalogram (EEG), cognitive tests, psychometry, and peripheral biomarkers, before (at baseline), during, and after 12 weeks of standard antidepressant treatment. Patients will be treated with escitalopram, and in case of non-response at week 4 or intolerable side effects, offered to switch to a second line treatment with duloxetine. Our primary outcome (treatment response) is assessed using the Hamilton depression rating subscale 6-item scores at week 8, compared to baseline. In a subset of the patients (n = ~40), we will re-assess the neurobiological response (using PET, fMRI, and EEG) 8 weeks after initiated pharmacological antidepressant treatment, to map neurobiological signatures of treatment responses. Data from matched controls will either be collected or is already available from other cohorts. DISCUSSION: The extensive investigational program with follow-up in this large cohort of participants provides a unique possibility to (a) uncover potential biomarkers for antidepressant treatment response, (b) apply the findings for future stratification of MDD, (c) advance the understanding of pathophysiological underpinnings of MDD, and (d) uncover how putative biomarkers change in response to 8 weeks of pharmacological antidepressant treatment. Our data can pave the way for a precision medicine approach for optimized treatment of MDD and also provides a resource for future research and data sharing. CLINICAL
trial registrationThe study was registered at clinicaltrials.gov prior to initiation (NCT02869035; 08.16.2016, URL: https://clinicaltrials.gov/ct2/results?cond=&term=NCT02869035&cntry=&state=&city=&dist=).
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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.