Summary
High resolution spectral methods are explored as an alternative to broad band spectral parameters (BBSP) in quantitative EEG analysis. In a previous paper (Valdes et al. 1990b) regression equations (“Developmental surfaces”) were introduced to characterize the age-frequency distribution of the mean and standard deviation of the log spectral EEG power in a normative sample. These normative surfaces allow the calculation of z transformed spectra for all derivations of the 10/20 system and z maps for each frequency. Clinical material is presented that illustrates how these procedures may pinpoint frequencies of abnormal brain activity and their topographic distribution, avoiding the frequency and spatial “smearing” that may occur using BBSP. The increased diagnostic accuracy of high resolution spectral methods is demonstrated by means of receiver operator characteristic (ROC) curve analysis. Procedures are introduced to avoid type I error inflation due to the use of more variables in this type of procedure.
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Alvarez, A., Valdes, P. and Pascual, R. EEG developmental equations confirmed for Cuban schoolchildren. Electroenceph. clin. Neurophysiol., 1987, 67: 330–332.
Alvarez, A., Valdes, P.A., Pascual, R.D., Galan, L., Biscay, R. and Bosch, J. On the structure of EEG development. Electroenceph. clin. Neurophysiol., 1989, 73: 10–19.
Biscay, R., Valdes, P. and Pascual, R.D. Modified Fisher's linear discriminant function with reduction of dimensionality. Journal Stat. Comp. Simul, 1990, 36: 1–8.
Biscay, R., Galan, L., Virues, T., Valdes, P., Virues, T., Neira, L. and Rojas, J. Localization error in biomedical imaging. Cornput. Biol. Med., 1992, 22: 277–286.
Brillinger, D.R. Time series data analysis and theory. MRW-Inc, New York, 1975, Ch.7.
Burgess, R.C. The scientific basis of computed neurophysiologic topography (Editorial). J. Clin. Neurophysiol., 1991, 7: 457–458.
Duffy, F.H. Topographic mapping of electrical brain activity. Butterworths, Boston, 1986.
John, E.R., Karmel, B.Z., Corning, W.C., Easton, P., Brown, D., Ahn, H., John, M., Harmony, T., Prichep, L., Toro, A., Gerson, I., Bartlett, F., Thatcher, R., Kaye, H., Valdes, P. and Schwartz, E. Neurometrics: numerical taxonomy identifies different profiles of brain dysfunctions within groups of behaviorally similar people. Science, 1977, 196: 1393–1410.
John, E.R., Ahn, H., Prichep, L.S., Trepetin, M., Brown, D. and Kaye, H. Developmental equations for the electroencephalogram. Science, 1980, 210: 1255–1258.
John, E.R., Prichep, L.S. and Easton, P. Normative data banks and neurometrics. Basic concepts, methods and results of norm constructions. In: A.S. Gevins and A. Remond (Eds.), Handbook of Electroencephalography and Clinical Neurophysiology, Vol I. Elsevier Science Publishers B.V. Amsterdam, 1987.
John, E.R., Prichep, L.S. and Easton, P. Neurometrics: computer-assisted differential diagnosis of brain functions. Science, 1988, 239: 162–169.
Katznelson, R.D. Linear operators on the multichannel data matrices. In: P.L. Nunez (Ed.), Electric Fields of the Brain. Oxford University Press, New York, 1981.
Lopes da Silva, F. Dynamics of EEGs as signals of neuronal populations: models and theoretical considerations. In: E. Niedermeyer and F. Lopes da Silva (Eds.), Electroencephalography Basic Principles, Clinical Applications and Related Fields. Urban and Schwarzenberg. Baltimore-Munich, 1987.
Nuwer, M.R. Quantitative EEG: I. Techniques and problems of frequency analysis and topographic mapping. Journal of Clinical Neurophysiology, 1988a, 5: 1–43.
Nuwer, M.R. Quantitative EEG: II. Frequency analysis and topographic mapping in clinical settings. Journal of Clinical Neurophysiology, 1888b, 5: 45–85.
Pascual, R.D., Valdes, P.A. and Alvarez, A. A parametric model for multichannel EEG spectra. Intern. J. Neuros., 1988a, 40: 89–99.
Pascual, R., Gonzalez, S., Valdes, P. and Biscay, R. Current source density estimation and interpolation based on the Spherical Harmonic Fourier Expansion. Int. J. Neuros., 1988b, 43: 237–247.
Pfurtscheller, G. Spatiotemporal analysis of alpha frequency components with the ERD technique. Brain Topogr., 1989, 2: 3–8.
Scarpino, O., Guidi, M. and Bolcioni, G. Topographic EEG analysis. Methods for graphic representation and clinical applications. Acta Neurol. (Napoli.), 1990, 12: 410–426.
Steriade, M., Gloor, P., Llinas, R.R., Lopes da Silva, F.H. and Mesulam, M.M. Basic mechanisms of cerebral rhythmic activities. Electroenceph. clin. Neurophysiol., 1990, 76: 481–508.
Swets, J. Measuring the accuracy of diagnostic system. Science, 1988, 240: 1285–1293.
Valdes, P. and Biscay, R. The statistical analysis of brain imaging. In: E.R. John (Ed.), Machinery of the Mind: Recent Advances in Basic and Clinical Neuroscience. Birkhauser, Boston, 1990a: 405–434.
Valdes, P., Biscay, R., Galan, L., Bosch, J., Szava, S. and Virues, T. High resolution spectral EEG norms for topography. Brain Topography, 1990b, 3: 281–282.
Valdes, P., Bosch, J., Grave, R., Hernandez, J., Riera, J., Pascual, R. and Biscay, R. Frequency domain models for the EEG. Brain Topography, 1992a, 4: 309–319.
Valdes, P., Valdes, M., Carballo, J., Alvarez, A., Diaz, G., Biscay, R., Perez, M.C., Szava, S. and Virues, T. QEEG in a public health system. Brain Topography, 1992b, 4: 259–266.
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Szava, S., Valdes, P., Biscay, R. et al. High resolution quantitative EEG analysis. Brain Topogr 6, 211–219 (1994). https://doi.org/10.1007/BF01187711
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DOI: https://doi.org/10.1007/BF01187711