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Analyzing Brain Patterns with EEG Can Help Predict Effective Use of Medication
Date:7/22/2014

based diagnoses can show differing patterns of brain dysfunction. Using these neurophysiological indicators can lead to a more accurate selection of treatment and eliminate the trial-and-error approach.

This application of quantitative EEG is an evidence-based approach to medicine. This article summarizes the EEG’s neurophysiological indicators for the medication classes indicated for ADHD, based on the author’s 43 years of experience in the field and outcomes from psychiatric practices.

Although the fields of pharmacology and EEG intersected about 50 years ago, the use of EEG is currently outside clinical practice standards in psychiatry. Change is coming, however, as the DSM-V approach is being abandoned in favor of predictors of treatment efficacy.

Full text of the article, “Medication Prediction with Electroencephalography Phenotypes and Biomarkers,” Biofeedback, Vol. 42, No. 2, 2014, is available at http://www.aapb-biofeedback.com/doi/full/10.5298/1081-5937-42.2.03.

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About Biofeedback
Biofeedback is published four times per year and distributed by the Association for Applied Psychophysiology and Biofeedback. AAPB’s mission is to advance the development, dissemination, and utilization of knowledge about applied psychophysiology and biofeedback to improve health and the quality of life through research, education, and practice. For more information about the association, see http://www.aapb.org.

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