Biofeedback – When a behavioral problem such as attention-deficit hyperactivity disorder (ADHD) is diagnosed, selecting medication to best treat it can become a matter of trial and error. Analyzing brain patterns by using electroencephalography (EEG) can help predict which medicine will offer the best result and thus lower the risk of adverse drug events. Recognizing brain patterns can be a better guide to medication use than psychiatric diagnosis based on the DSM-V.
The article “Medication Prediction with Electroencephalography Phenotypes and Biomarkers” in the current issue of the journal Biofeedback offers evidence that quantitative EEG assessment can refine the selection of medications by detecting brain patterns. Author Jay Gunkelman uses the example of a 7-year-old child diagnosed with ADHD.