ArticleFrontiers in psychiatry2022
Theta oscillations: A rhythm difference comparison between major depressive disorder and anxiety disorder.
Article in Frontiers in psychiatry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
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Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.
- Resting-state EEG activity in depression: a systematic review and meta-analysis.NeuroImage. Clinical · 2026Pooled it
- Brain-Wave Music: A Personalized Approach to Improving Anxiety Resistance.Neural plasticity · 2025Trial
- Trial
- Quantitative Electroencephalography as a Complement to Symptom-Based Psychiatric Diagnosis: A Narrative Review.Journal of personalized medicine · 2026Review
- Aperiodic (1/f) Neural Activity Robustly Tracks Symptom Severity Changes in Treatment-Resistant Depression.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2025Article
- Rhythmic activity in resting-state EEG predicts trait anxiety.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Theta rhythm as a real-time quantitative marker for non-invasive analysis of adult neurogenesis in the intact brain.Journal of biological methods · 2025Review
- Risk avoidance and social anxiety in adolescence: Examination of event-related potentials and theta-dynamics on the Balloon Risk Avoidance Task.Brain and cognition · 2024Article
- Boltzmann's Theorem Revisited: Inaccurate Time-to-Action Clocks in Affective Disorders.Current neuropharmacology · 2024Review
- Aperiodic neural activity is a biomarker for depression severity.medRxiv : the preprint server for health sciences · 2023Article
- Transcranial alternating current stimulation for the treatment of major depressive disorder: from basic mechanisms toward clinical applications.Frontiers in human neuroscience · 2023Review
- Steady electrocorticogram characteristics predict specific stress-induced behavioral phenotypes.Frontiers in neuroscience · 2023Article
Corrections and comments
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Authors and funding
10 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Due to substantial comorbidities of major depressive disorder (MDD) and anxiety disorder (AN), these two disorders must be distinguished. Accurate identification and diagnosis facilitate effective and prompt treatment. EEG biomarkers are a potential research hotspot for neuropsychiatric diseases. The purpose of this study was to investigate the differences in EEG power spectrum at theta oscillations between patients with MDD and patients with AN. Methods: Spectral analysis was used to study 66 patients with MDD and 43 patients with AN. Participants wore 16-lead EEG caps to measure resting EEG signals. The EEG power spectrum was measured using the fast Fourier transform. Independent samples Results: EEG power spectrum of the MDD group significantly differed from the AN group in the theta oscillation on 4-7 Hz at eight electrode points at F3, O2, T3, P3, P4, FP1, FP2, and F8. Conclusion: Participants with anxiety demonstrated reduced power in the prefrontal cortex, left temporal lobe, and right occipital regions. Confirmed by further studies, theta oscillations could be another biomarker that distinguishes MDD from AN.
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