Details

Autor(en) / Beteiligte

• Cantor, David S.

Titel

1 - An Overview of Quantitative EEG and Its Applications to Neurofeedback

Ist Teil von

• Introduction to Quantitative EEG and Neurofeedback, 1999, p.3-27

Ort / Verlag

Elsevier Inc

Erscheinungsjahr

1999

Link zum Volltext

Quelle

ScienceDirect eBooks

Beschreibungen/Notizen

• This chapter provides an overview of quantitative electroencephalogram (EEG) and its applications to Neurofeedback. The field of computerized neurophysiology, commonly known as EEG, has grown exponentially in recent years. EEG as a methodology for understanding neural processes as they relate to human behavior has come a long way since the early days of Berger's work with observations of alpha activity in awake humans. In the 1930s and 1940s, EEG became the object of much interest in the realm of psychiatric and neurological sciences by researchers. The EEG, without a more precise way to study its complex and idiopathic nature, revealed little about the neuro anatomic-neurophysiologic continuum and even less about the subtleties in human behavior and function. Clinicians can use both age-adjusted normative databases and clinical databases to develop specific treatment protocols, employing chemical agents to alter underlying neurophysiology and/or adjusting EEG parameters through operant or classical conditioning models of EEG biofeedback. The methods employed to train changes in EEG require careful consideration of factors that can influence the recording, monitoring, and defining of outcome effects on the EEG. It is critically important that future EEG clinicians using quantitative EEG (QEEG) diagnostic and treatment techniques consider the findings from decades of research about how to properly interpret QEEG data and to develop appropriate neurofeedback and/or neural conditioning protocols for each individual patient.