Comparison of the distributions of classical and adaptively aligned EEG power spectra

Alvarez-Amador, 1989, On the structure of EEG development, Electroencephalogr. Clin. Neurphysiol., 73, 10, 10.1016/0013-4694(89)90015-1 Anderer, 1992, Artifact processing in topographic mapping of electroencephalographic activity in neuropsychopharmacology, Psychiatry Res.-Neuroim., 45, 79, 10.1016/0925-4927(92)90002-L Andresen, 1993, Multivariate statistical methods and their capability to demarcate psychophysiologically and neurophysiologically sound frequency components of human scalp EEG Andresen, 1984, Methodological conditions of congruent factors: a comparison of EEG frequency structure between hemispheres, Multivariate Behav. Res., 19, 3, 10.1207/s15327906mbr1901_1 Debener, 2000, Principal components analysis (PCA) as a tool for identifying EEG frequency bands: II. Dissociation of resting alpha asymmetries, Psychophysiology, 37, S35 Dumermuth, 1987, Spectral analysis of EEG background activity, vol. 1 Gasser, 1984, How to select epochs of the EEG at rest for quantitative analysis, Electroencephalogr. Clin. Neurophysiol., 58, 89, 10.1016/0013-4694(84)90205-0 Gasser, 1982, Transformations towards the normal distribution of broad band spectral parameters of the EEG, Electroencephalogr. Clin. Neurophysiol., 53, 119, 10.1016/0013-4694(82)90112-2 Gasser, 1985, Test-retest reliability of spectral parameters of the EEG, Electroencephalogr. Clin. Neurophysiol., 60, 312, 10.1016/0013-4694(85)90005-7 Harris, 1978, On the use of windows for harmonic analysis with the discrete Fourier transform, Proc. IEEE, 66, 51, 10.1109/PROC.1978.10837 Kayser, 2000, Principal components analysis (PCA) as a tool for identifying EEG frequency bands: I. Methodological considerations and preliminary findings, Psychophysiology, 37, S54 Klimesch, 1997, EEG-alpha rhythms and memory processes, Int. J. Psychophysiol., 26, 319, 10.1016/S0167-8760(97)00773-3 Klimesch, 1999, EEG alpha and theta oscillations reflect cognitive and memory performance: a review and analysis, Brain Res. Rev., 29, 169, 10.1016/S0165-0173(98)00056-3 Klimesch, 1990, Alpha frequency and memory performance, J. Psychophysiol., 4, 381 Liley, 1999, Alpha rhythm emerges from networks of neurophysiologically realistic multicompartmental models of cortical neurons, Netw. Comput. Neural., 10, 79, 10.1088/0954-898X/10/1/005 Lopes da Silva, 1973, Organisation of thalamic and cortical alpha rhythms: spectra and coherences, Electroencephalogr. Clin. Neurophysiol., 35, 627, 10.1016/0013-4694(73)90216-2 Mocks, 1986, The influence of latency jitter in principal components analysis of event-related potentials, Psychophysiology, 23, 480, 10.1111/j.1469-8986.1986.tb00659.x Oken, 1988, Short-term variability in EEG frequency analysis, Electroencephalogr. Clin. Neurophysiol., 69, 191, 10.1016/0013-4694(88)90128-9 Oldenbürger, 1980, On the dimensional decomposition of the frequency components in the human EEG: a constructive criticism, 47 Schwibbe, 1980, Interconditional and interindividual comparison of factor structures of power spectral analysed EEG, 109 Schwibbe, 1981, Peak centred power spectra: a successful attempt to calculate efficient parameters in the alpha range of EEG, Electroencephalogr. Clin. Neurophysiol., 52, 497, 10.1016/0013-4694(81)90036-5 Tabachnick, 1989 Tenke, 2003, Identification and separation of reference-free spectral EEG components: combining current source density (CSD) and frequency principal components analysis (fPCA), Psychophysiology, 40, S84 Weineke, 1980, Normative spectral data on alpha rhythm in males adults, Electroencephalogr. Clin. Neurophysiol., 49, 636, 10.1016/0013-4694(80)90404-6