ArticleFrontiers in psychiatry2018
Leveraging Machine Learning Approaches for Predicting Antidepressant Treatment Response Using Electroencephalography (EEG) and Clinical Data.
Article in Frontiers in psychiatry, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 3 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
43 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Machine learning in the prediction of treatment response for emotional disorders: A systematic review and meta-analysis.Clinical psychology review · 2025Pooled it
- Machine learning approaches in the therapeutic outcome prediction in major depressive disorder: a systematic review.Frontiers in psychiatry · 2025Pooled it
- Predicting treatment response using EEG in major depressive disorder: A machine-learning meta-analysis.Translational psychiatry · 2022Pooled it
- Subtyping depression using brain-gastric electrophysiology for early prediction of antidepressant response: a multicentric clinical study.Frontiers in psychiatry · 2026Trial
- Developing an Electroencephalography-Based Model for Predicting Response to Antidepressant Medication.JAMA network open · 2023Trial
- Trial
- EEG Functional Connectivity Associated With Antidepressant Response to Transcutaneous Electrical Cranial-Auricular Acupoint Stimulation.CNS neuroscience & therapeutics · 2026Article
- Validation-Aware Retrospective EEG Treatment-Response Modelling Using Chaotic Pattern of Prime Numbers Features: Segment-Level Separability and Subject-Wise Generalisation.Bioengineering (Basel, Switzerland) · 2026Article
- Learning Outcomes That Maximally Differentiate Psychiatric Treatments.International journal of methods in psychiatric research · 2026Article
- Towards the Development of a Deep Learning Framework Using Adaptive and Non-Adaptive Time-Frequency Features for EEG-Based Depression Therapy Prediction.Brain sciences · 2026Article
- Transient frontal spectral events from EEG predict antidepressant response to sertraline in depression.medRxiv : the preprint server for health sciences · 2026Article
- Predicting Depression Therapy Outcomes Using EEG-Derived Amplitude Polar Maps.Brain sciences · 2025Article
- Predicting antidepressant responsiveness in major depressive disorder patients via electroencephalography gamma-band dynamic functional connectivity in response to salient auditory stimuli.The international journal of neuropsychopharmacology · 2025Article
- Biased Information Routing Through the Basolateral Amygdala, Altered Valence Processing, and Impaired Affective States Associated With Psychiatric Illnesses.Biological psychiatry · 2025Review
- A hybrid model for predicting response to risperidone after first-episode psychosis.Revista brasileira de psiquiatria (Sao Paulo, Brazil : 1999) · 2025Article
- Antidepressant Treatment Response Prediction With Early Assessment of Functional Near-Infrared Spectroscopy and Micro-RNA.IEEE journal of translational engineering in health and medicine · 2025Article
- How to Solve Clinical Challenges in Mood Disorders; Machine Learning Approaches Using Electrophysiological Markers.Clinical psychopharmacology and neuroscience : the official scientific journal of the Korean College of Neuropsychopharmacology · 2024Review
- Neurosteroids: mechanistic considerations and clinical prospects.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2024Review
- Predictive Biomarkers of Treatment Response in Major Depressive Disorder.Brain sciences · 2023Article
- Machine learning and EEG can classify passive viewing of discrete categories of visual stimuli but not the observation of pain.BMC neuroscience · 2023Article
Corrections and comments
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Authors and funding
5 authors.
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Abstract
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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.