Abstract:

Recent advances in computer science made EEG more informative device. Quantification and mapping of the EEG and its incorporation with MRI or other neuroimaging enabled us source localization more clearly. With spectral analysis of EEG waves, neurometrics is a basic concept of cortical EEG mapping. Multivariate analysis and discriminant analysis of neurometrics afford improved detectability of abnormal EEG and differential diagnosis as well. Quantitative EEG analysis is very useful in clinical field of bipolar and monopolar affective disorders, schizophrenia, and dementia. Dementia of Alzheimer type and vascular dementia may be reliably differentiated by quantitative EEG analysis.

Wide variation of normal EEG, difficulty in detection of very brief abnormal discharges, and artifacts commonly occurs in EEG recording are major confrontation in quantitative EEG analysis. Despite of these disadvantages, application of chaos and neural network theory, advances of high-resolution EEG, and the development of other functional neuroimaging techniques may enhance the role of quantitative EEG.