Quantitative Electroencephalography as a Complement to Symptom-Based Psychiatric Diagnosis: A Narrative Review
Francesco Amico1,2, Scott Shannon3,4, Steve Rondeau4,5
1Neotherapy, Second Level, 2225 N Commerce Pkwy Suite #6, Weston, FL 33326, USA.
Journal of Personalized Medicine
|May 26, 2026
Summary
Quantitative electroencephalography (qEEG) can improve psychiatric diagnoses. Integrating qEEG with traditional methods enhances accuracy, leading to better patient outcomes and satisfaction in mental healthcare.
Area of Science:
- Neuroscience
- Psychiatry
- Medical Technology
Background:
- Current psychiatric diagnoses rely on the DSM, using subjective symptom clusters.
- This method may cause inaccurate diagnoses due to overlapping symptoms and lack of specificity.
- Objective measures are needed for personalized mental healthcare and to address neurobiological imbalances.
Purpose of the Study:
- To review the limitations of traditional psychiatric diagnostic methods.
- To explore the potential of quantitative electroencephalography (qEEG) as an adjunctive diagnostic tool.
Main Methods:
- A structured literature search was performed in Europe PMC.
- Original human studies and clinical trials in English were thematically selected.
Main Results:
- The search identified 1934 records.
- A subset of relevant studies was selected for the review.
Conclusions:
- Integrating qEEG can improve diagnostic accuracy in psychiatric care.
- This integration may reduce ineffective treatments and enhance patient satisfaction.
- qEEG offers a potential pathway toward more precise and personalized mental healthcare.
