Spatial patterns underlying population differences in the background EEG

Duffy, F.H., Bartels, P.H. and Burchfiel, J.L., Significance probability mapping: an aid in the topographic analyses of brain electrical activity. Electroenceph. Clin. Neurophys., 1981, 51: 455?462.

Fukunaga, K., Introduction to Statistical Pattern Recognition, Academic Press, New York, 1972.

Gevins, A.S., Analysis of the electromagnetic signals of the human brain: milestones, obstacles and goals. IEEE Trans. Biomed. Eng., 1984, BME-31: 833?850.

Hjorth, B. and Rodin, E., An eigenfunction approach to the inverse problem of EEG. Brain Topography, 1988, 1: 79?86.

Koles, Z.J., Kasmia, A., Paranjape, R.B. and McLean, D.R., Computed radial-current topography of the brain: patterns associated with the normal and abnormal EEG. Electroenceph. Clin. Neurophys., 1989, 72: 41?47.

Lehmann, D., Principles of spatial analysis. In: A.S. Gevins and A. Remond (Eds.), Handbook of Electroencephalography and Clinical Neurophysiology, Revised Series, Elsevier, Amsterdam, 1987, 1: 309?354.

MATLAB is a trademark of The MathWorks, Inc., 21 Eliot St., South Natick, MA, USA, 01760.

Nuwer, M.R., Quantitative EEG: I. Techniques and problems of frequency analysis and topographic mapping. J. Clin. Neurophys., 1988, 5: 1?43.

Nuwer, M.R., Quantitative EEG: II. Frequency analysis and topographic mapping in clinical settings. J. Clin. Neurophys., 1988, 5: 45?85.

Perrin, F., Bertrand, O. and Pernier, J., Scalp current density mapping: value and estimation from potential data. IEEE Trans. Biomed. Eng., 1987, BME-34: 283?288.