ArticleFrontiers in psychology2023
Resting-state frontal, frontlateral, and parietal alpha asymmetry:A pilot study examining relations with depressive disorder type and severity.
Article in Frontiers in psychology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Resting-state EEG activity in depression: a systematic review and meta-analysis.NeuroImage. Clinical · 2026Pooled it
- Distributed EEG power asymmetries across frequencies in PTSD: Introducing the dynamic EEG power differential (DEPD) index.Neuroimage. Reports · 2026Article
- Mapping the Digital Mind: A Meta-Analysis of EEG Biomarkers in Cognition, Emotion, and Mental Health.Brain sciences · 2026Review
- Frontal Alpha Asymmetry and Electrodermal Activity: A Mutual Information Analysis Across Cognitive Load and Sleep Deprivation.Biosensors · 2026Article
- EEG hemispheric asymmetry and behavioral responsiveness following rTMS in unresponsive wakefulness syndrome: an exploratory study.Journal of neuroengineering and rehabilitation · 2026Article
- Parietal Alpha Asymmetry as a Correlate of Internet Use Severity in Healthy Adults.Brain sciences · 2025Article
- Cognitively Inspired Federated Learning Framework for Interpretable and Privacy-Secured EEG Biomarker Prediction of Depression Relapse.Bioengineering (Basel, Switzerland) · 2025Article
- A case-control study on QEEG as a marker of cognition in depression.Indian journal of psychiatry · 2025Article
- Article
- Modulators of GABANeuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2024Review
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9 authors.
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Abstract
Introduction: The search for biomarkers has been central to efforts of improving clinical diagnosis and prognosis in psychopathology in the last decades. The main approach has been to validate biomarkers that could accurately discriminate between clinical diagnoses of very prevalent forms of psychopathology. One of the most popular electrophysiological markers proposed for discrimination in depressive disorders is the electroencephalography (EEG)-derived frontal alpha asymmetry. However, the validity, reliability and predictive value of this biomarker have been questioned in recent years, mainly due to conceptual and methodological heterogeneity. Methods: In the current non-experimental, correlational study we investigated relationship of resting-state EEG alpha asymmetry from multiple sites (frontal, frontolateral, and parietal) with different forms of depressive disorders (varying in type or severity), in a clinical sample. Results: Results showed that alpha asymmetry in the parietal (P3-P4) was significantly higher than in the frontal (F3-F4) and frontolateral sites (F7-F8). However, we did not find significant relations between alpha asymmetry indices and our depressive disorder measures, except for a moderate positive association between frontolateral alpha asymmetry (eyes-closed only) and depressive disorder severity (determined through clinical structured interview). We also found no significant differences in alpha asymmetry between participants, depending on their depression type. Discussion: Based on results, we propose the parietal and frontolateral asymmetry indices to form hypotheses that should not be abandoned in the depression markers research, but worth for further experimental research. Methodological and clinical implications of the current findings are discussed.
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