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Treatment of Major Depression · Journal article
Clinical Eeg and Neuroscience · August 17, 2026
A consensus or society position rather than new primary data.
This is a narrative review advancing EEG as a standard diagnostic tool in psychiatry and identifying quantitative EEG markers (alpha peak frequency, vigilance regulation, frontal alpha asymmetry) as promising probabilistic predictors of treatment response in depression. The authors emphasize that these markers shift response likelihoods rather than determine individual outcomes, and call for large validation studies to establish their clinical utility in precision psychiatry.
Journal article. Patients in psychiatric practice, with emphasis on depression and antidepressant/brain stimulation/ketamine/ECT treatment response prediction.
Resting-state EEG markers (alpha peak frequency, vigilance regulation, frontal alpha asymmetry) show small-to-moderate effect sizes in predicting differential treatment responses to antidepressants, brain stimulation techniques, ketamine and electroconvulsive therapy EEG has not demonstrated sufficient specificity as a diagnostic marker for primary psychiatric disorders These markers operate probabilistically, shifting response likelihoods rather than determining outcomes at the individual level
Safety was not reported in the material analysed. Check the source before drawing any conclusion about harm.
Clinicians should incorporate EEG into routine diagnostic workup for its established utility in ruling out organic causes and detecting epileptiform activity. Emerging quantitative EEG markers may aid treatment selection in depression, but current evidence supports only probabilistic guidance at the population level; individual-level prediction requires further validation.
An expert consensus review asserting current clinical utility of EEG in psychiatry and identifying emerging quantitative EEG markers for treatment prediction, without reporting new empirical data or trials.
Quoted from the source exactly as published.
Clinicians should incorporate EEG into routine diagnostic workup for its established utility in ruling out organic causes and detecting epileptiform activity. Emerging quantitative EEG markers may aid treatment selection in depression, but current evidence supports only probabilistic guidance at the population level; individual-level prediction requires further validation.
Graded across the dimensions that decide whether you should act, each from what the source actually supports. There is no single score, and where a dimension was not assessed it says so.
Clinical electroencephalography (EEG) remains a central diagnostic tool in psychiatry. As a non-invasive, widely available and cost-effective method with high temporal resolution, EEG contributes to the detection of epileptiform activity, exclusion of organic brain dysfunction, assessment of delirium and encephalopathies, differential diagnosis of dementias, and monitoring of psychopharmacological treatments. It provides functional information that complements structural imaging and serves as an indispensable auxiliary tool in the diagnostic work up.While EEG has not demonstrated sufficient specificity as a diagnostic marker for primary psychiatric disorders, there is growing evidence supporting the predictive use of quantitative EEG features, particularly in depression. Resting-state markers, including alpha peak frequency, vigilance regulation and frontal alpha asymmetry have shown small-to-moderate effect sizes in predicting differential treatment responses to antidepressants, brain stimulation techniques, ketamine and electroconvulsive therapy. These markers operate probabilistically, shifting response likelihoods rather than determining outcomes at the individual level. Even modest predictive effects can translate into meaningful population-level improvements by reducing ineffective treatment trials and accelerating remission.In summary, electroencephalography is a valuable tool in routine clinical practice that should be part of standard diagnostic procedures. Subject to large validation studies, quantitative EEG can provide predictive instruments in precision psychiatry, enhance treatment selection and thus improve outcomes by augmenting the clinical nature of psychiatric practice.
Taken from the source record, never inferred. Follow any of these and new work involving them reaches your briefing.