ReviewFrontiers in human neuroscience2018
EEG Frequency Bands in Psychiatric Disorders: A Review of Resting State Studies.
Review in Frontiers in human neuroscience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 385 papers, 12 of them syntheses that pooled it.
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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
385 citing papers in PubMed, 12 syntheses or guidelines pooled it, 819 citations in OpenAlex.
- Resting-state EEG activity in depression: a systematic review and meta-analysis.NeuroImage. Clinical · 2026Pooled it
- A systematic review of EEG-based biomarkers for depression, anxiety, and bipolar disorder: trends in explainable artificial intelligence (XAI).BMC psychiatry · 2025Pooled it
- A Systematic Review of Aperiodic Neural Activity in Clinical Investigations.The European journal of neuroscience · 2025Pooled it
- A systematic review of EEG-based machine learning classifications for obsessive-compulsive disorder: current status and future directions.BMC psychiatry · 2025Pooled it
- Consumer-Grade Neurofeedback With Mindfulness Meditation: Meta-Analysis.Journal of medical Internet research · 2025Pooled it
- Detecting electrophysiological alterations in psychiatric disorders through event-related microstates: a systematic review.Frontiers in psychiatry · 2025Pooled it
- The application of electroencephalogram in depression research: bibliometric and technological application analysis from 2005 to 2025.Frontiers in neuroscience · 2025Pooled it
- Artificial intelligence in ADHD: a global perspective on research hotspots, trends and clinical applications.Frontiers in human neuroscience · 2025Pooled it
- Resting-state electroencephalography and magnetoencephalography in migraine-a systematic review and meta-analysis.The journal of headache and pain · 2024Pooled it
- Rhythmic Attention and ADHD: A Narrative and Systematic Review.Applied psychophysiology and biofeedback · 2024Pooled it
- A systematic review of EEG based automated schizophrenia classification through machine learning and deep learning.Frontiers in human neuroscience · 2024Pooled it
- Resting-state EEG power differences in autism spectrum disorder: a systematic review and meta-analysis.Translational psychiatry · 2023Pooled it
- Electroencephalographic Biomarkers of Deep Transcranial Magnetic Stimulation Treatment Response for Major Depressive Disorder in Older Adults: A Preliminary Study.International journal of geriatric psychiatry · 2026Trial
- Peripheral magnetic stimulation effects on brain activity in older adults with schizophrenia - a randomized controlled pilot study.Frontiers in psychiatry · 2026Trial
- Brain regulation training improves emotional competences in patients with alcohol use disorder.Social cognitive and affective neuroscience · 2024Trial
- Inter-individual variability in neural response to low doses of LSD.Translational psychiatry · 2024Trial
- Neurofeedback for functional neurological disorders: future directions for research and clinical practice.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2026Review
- What Static Connectivity Misses: Dynamic Alpha-Band Brain Network States in First-Episode Psychosis.Brain topography · 2026Article
- Quantitative EEG of frontal and central cortices during calm memory retrieval in schizophrenia.Discover mental health · 2026Article
- Brain rhythms of depression: A predictive processing perspective.Trends in neurosciences · 2026Review
325 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A significant proportion of the electroencephalography (EEG) literature focuses on differences in historically pre-defined frequency bands in the power spectrum that are typically referred to as alpha, beta, gamma, theta and delta waves. Here, we review 184 EEG studies that report differences in frequency bands in the resting state condition (eyes open and closed) across a spectrum of psychiatric disorders including depression, attention deficit-hyperactivity disorder (ADHD), autism, addiction, bipolar disorder, anxiety, panic disorder, post-traumatic stress disorder (PTSD), obsessive compulsive disorder (OCD) and schizophrenia to determine patterns across disorders. Aggregating across all reported results we demonstrate that characteristic patterns of power change within specific frequency bands are not necessarily unique to any one disorder but show substantial overlap across disorders as well as variability within disorders. In particular, we show that the most dominant pattern of change, across several disorder types including ADHD, schizophrenia and OCD, is power increases across lower frequencies (delta and theta) and decreases across higher frequencies (alpha, beta and gamma). However, a considerable number of disorders, such as PTSD, addiction and autism show no dominant trend for spectral change in any direction. We report consistency and validation scores across the disorders and conditions showing that the dominant result across all disorders is typically only 2.2 times as likely to occur in the literature as alternate results, and typically with less than 250 study participants when summed across all studies reporting this result. Furthermore, the magnitudes of the results were infrequently reported and were typically small at between 20% and 30% and correlated weakly with symptom severity scores. Finally, we discuss the many methodological challenges and limitations relating to such frequency band analysis across the literature. These results caution any interpretation of results from studies that consider only one disorder in isolation, and for the overall potential of this approach for delivering valuable insights in the field of mental health.
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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.