Research › QEEG, Methods & Mechanisms
The Quantitative Electroencephalogram and the Use of Normative Databases
STS Instructor Authored by Thomas Collura
Share
Study at a glance
- Area
- QEEG, Methods & Mechanisms
- Study type
- Review & meta-analysis
- Authors
- Collura TF
- Journal
- Biofeedback
- Year
- 2019
- Protocol
- QEEG with normative z-scores; LORETA
Key findings
- Normative databases give a common yardstick, particularly valuable for connectivity metrics
- Argues that hovering around z = 0 over time reflects a flexible, adaptable and ready brain
- Describes how LORETA inverse-solution methods fit within QEEG and normative comparison
- Discusses both advantages and shortcomings of the normative approach
An overview of the scientific, technical and clinical reasons for using quantitative EEG to assess clients and to track their progress during treatment. It focuses on normative databases and z-scores as a standard way of comparing a client's EEG with a reference group, both for reports and for training, and notes they are especially useful for connectivity measures. The article also covers LORETA source-localisation methods within the normative framework and weighs strengths against limitations.