ArticleBrain and behavior2023
Depression diagnosis based on electroencephalography power ratios.
Article in Brain and behavior, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.
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14 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The application of electroencephalogram in depression research: bibliometric and technological application analysis from 2005 to 2025.Frontiers in neuroscience · 2025Pooled it
- Predicting comorbid anxiety in adolescents with major depressive disorder: an EEG-based machine learning approach with SHAP interpretability.Translational psychiatry · 2026Article
- EEG Unpredictability in the Resting State of Major Depressive Disorder: A Multidomain EEG Analysis.Brain topography · 2026Article
- Stanford neuromodulation therapy for treatment-resistant depression: a randomized controlled trial confirming efficacy, and an EEG study providing insight into mechanism of action and a potentially predictive biomarker of efficacy.World psychiatry : official journal of the World Psychiatric Association (WPA) · 2026Article
- Assessment of Anxiety- and Depression-like Behaviors and Local Field Potential Changes in a Cryogenic Lesion Model of Traumatic Brain Injury.International journal of molecular sciences · 2026Article
- Neuromodulation in Parkinson's disease with transcranial pulse stimulation: evidence of clinical efficacy and cortical oscillatory changes.Journal of neurology · 2025Article
- A heart rate variability-driven framework for depression screening leveraging emotion-elicited autonomic divergence.Journal of physiological anthropology · 2025Article
- EEG Sensor-Based Computational Model for Personality and Neurocognitive Health Analysis Under Social Stress.Sensors (Basel, Switzerland) · 2025Article
- Test-Retest Reliability of Single Spectral Power and Spectral Power Ratios in Relative and Absolute Values.Brain and behavior · 2025Article
- Article
- Exploring the effects of aerobic and resistance exercise on mood-related symptoms and EEG activity.Frontiers in human neuroscience · 2025Article
- Resting-state EEG features modulated by depressive state in healthy individuals: insights from theta PSD, theta-beta ratio, frontal-parietal PLV, and sLORETA.Frontiers in human neuroscience · 2024Article
- Alpha oscillation mediates the interaction between suicide risk and symptom severity in Major Depressive Disorder.Frontiers in neuroscience · 2024Article
- Depression diagnosis based on electroencephalography power ratios.Brain and behavior · 2023Article
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Abstract
backgroundDepression is a common mental disorder that impacts millions of people across the world. However, its diagnosis is difficult due to the dependence on subjective testing. Although quantitative electroencephalography (EEG) has been investigated as a promising diagnostic tool for depression, the associated results have proven contradictory. The current study determines whether the alpha/beta (ABR), alpha/theta (ATR), and theta/beta (TBR) ratios can serve as biological markers of depression.
methodsWe used open-access EEG data from OpenNeuro to investigate power ratios in the resting state of 46 patients with depression and 75 healthy controls. Spectral data were extracted by fast Fourier transform at the theta band (4-8 Hz), alpha band (8-13 Hz), and beta band (13-32 Hz). Neural network, logistic regression, and receiver operating characteristic (ROC) curves were used to assess the diagnostic accuracies of each suggested index. Additionally, the cutoff point, sensitivity, specificity, positive predictive value, and negative predictive value at the maximized Youden index were compared for each variable.
resultsDecreased anterior frontal, frontal, central, parietal, occipital, and temporal ABR and decreased central and parietal TBR were observed in the depression group. The area under the curve of the ROC curves further revealed that these ratios could all effectively differentiate depression. In particular, the central, frontal, and parietal ABR exhibited high discrimination scores. Multiple logistic regression analysis demonstrated that the Beck Depression Inventory and Spielberger Trait Anxiety Inventory scores, as well as the probability of depression, increased with a decrease in the central ABR. Moreover, neural network analysis revealed that the global ABR was the most effective index for diagnosing depression among the three global EEG power ratios.
conclusionsThe central, frontal, and parietal ABR represent potential biomarkers to differentiate patients with depression from healthy controls.
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