ArticleDiagnostics (Basel, Switzerland)2020
Prediction of Antidepressant Treatment Outcome Using Event-Related Potential in Patients with Major Depressive Disorder.
Article in Diagnostics (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 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.
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Who cites it
6 citing papers in PubMed.
- Subtyping depression using brain-gastric electrophysiology for early prediction of antidepressant response: a multicentric clinical study.Frontiers in psychiatry · 2026Trial
- Frontal Alpha Asymmetry and Its Modulation by Monoaminergic Neurotransmitters in Depression.Clinical psychopharmacology and neuroscience : the official scientific journal of the Korean College of Neuropsychopharmacology · 2024Review
- AI-assisted prediction of differential response to antidepressant classes using electronic health records.NPJ digital medicine · 2023Article
- The Relationship Between Theta Power, Theta Asymmetry and the Effect of Escitalopram in the Treatment of Depression.Neuropsychiatric disease and treatment · 2023Article
- Challenges for Artificial Intelligence in Recognizing Mental Disorders.Diagnostics (Basel, Switzerland) · 2022Review
- P300 event-related potentials in patients with different subtypes of depressive disorders.Frontiers in psychiatry · 2022Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
(1) Background: Prediction of treatment outcome has been one of the core objectives in clinical research of patients with major depressive disorder (MDD). This study explored the possibility of event-related potential (ERP) markers to predict antidepressant treatment outcomes among MDD patients; (2) Methods: Fifty-two patients with MDD were recruited and evaluated through Hamilton depression (HAM-D), Hamilton anxiety rating scale (HAM-A), and CORE. Patients underwent a battery of ERP measures including frontal alpha symmetry (FAA) in the low alpha band (8-10 Hz), mismatch negativity (MMN), and loudness-dependent auditory evoked potentials (LDAEP); (3) Results: During the eight weeks of study, 61% of patients achieved remission, and 77% showed successful treatment responsiveness. Patients with low FAA in F5/F6 demonstrated a significantly higher remission/response ratio and better treatment responsiveness (
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Registered trials
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