Abstract

SUMMARY This paper reviews and summarizes the use of quantitative electroencephalography (EEG) and normative databases in the design and application of EEG biofeedback (neurotherapy) for clinical purposes. It is argued that such a statistical approach to EEG analysis ignores important individual patient data observed in the raw EEG. While databases provide important information for understanding brain function, they have important limitations for patient diagnosis and as guides to the training of brain waves. On the other hand, although the use of specific training protocols and the training of specific electro-encephalographic frequencies have been shown to be useful in improving symptoms in different neurological and psychological disorders, they are insufficient to structure a rational neurofeedback training protocol. It is assumed that neurotherapy produces fundamental changes in brain function. Although there have been no published reports to date of iatrogenic problems arising from neurotherapy, the...

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